EP3058535A1

EP3058535A1 - Patient data triggered pooling-system for risk sharing of cronic critical illness risks of cohorts of elderly persons and corresponding method thereof

Info

Publication number: EP3058535A1
Application number: EP13821495.2A
Authority: EP
Inventors: Timothy John KNAUST; Louise Elizabeth Anna HAINES; Alison Louisa MCLEAN
Original assignee: Swiss Reinsurance Co Ltd
Current assignee: Swiss Re AG
Priority date: 2013-10-17
Filing date: 2013-12-30
Publication date: 2016-08-24

Abstract

Proposed are a parametric, event-driven critical illness insurance system based on a resource-pooling system (1) and method for risk sharing of critical illness risks associated with elderly persons by providing a dynamic self-sufficient risk protection for a variable number of risk exposure components (21, 22, 23) by means of the resource-pooling system (1). The resource-pooling system (1) comprises an assembly module (5) to process risk-related component data (211, 221, 231) and to provide the likelihood (212, 222, 232) of said risk exposure for one or a plurality of the pooled risk exposure components (21, 22, 23,...) based on the risk-related component data (211, 221, 231). The risk exposure components (21, 22, 23) are connected to the resource-pooling system (1) for the pooling of their risks and resources, and wherein the resource-pooling system (1) comprises an multiple event-driven core-engine (3) with critical illness triggers (31, 32, 33) triggering in a patient dataflow pathway (213, 223, 233) to provide risk protection for a specific risk exposure component (21, 22, 23) for the occurrence of acute and/or chronic critical illnesses, as e.g. dementia and/or heart attack. The operation of the resource pooling system (1) is further supported by a parametric multi-trigger stage risk-cover.

Description

Patient Data Triggered Pooling -System For Risk Sharing of Cronic Critical Illness Risks Of Cohorts of Elderly Persons And Corresponding Method

Thereof

Field of the Invention The present invention relates to critical illness insurance systems for providing risk sharing of critical illness risks associated with elderly persons by providing a dynamic self-sufficient risk protection for the risk exposure components by means of resource pooling system. In particular, the invention relates to automated event-driven systems triggering on the patient dataflow pathway. Background of the Invention

These days, there is significant risk exposure related to many aspects in life and non-life sectors. Risk exposed units as any kinds of objects, individuals, corporate bodies and/or legal entities, necessarily are confronted with many forms of active and passive risk management to hedge and protect against the risk of certain losses and events. In the prior art, one way to address such risk of loss is based on transferring and pooling the risk of loss from a plurality of risk exposed entities to a dedicated pooling entity. In essence, this can be executed by effectively allocating the risk of loss to this pooling unit or entity by pooling resources of associated units, which are exposed to a certain risk. In case, that one of the units is hit by an event occurring related to a transferred risk, the pooling entity directly intercepts the loss or damage caused by the event by transferring resources from the pooled resources to the affected unit. Pooling of resources can be achieved by exchanging predefined amounts of resources with the resource-pooling system; e.g. payments or premiums to be paid, for the transfer of the risk. This means that predefined amounts of resources are exchanged for the other unit assuming the risk of loss.

For living individuals, a special kind of risk is based on the risk of loss of life and related possible losses; i.e., losses that occur as a consequence of the death of that individual. Such risks are traditionally handled by so-called life insurance systems. To administer a loss for benefits provided by a life insurance policy, a substantial amount of information must be collected and managed by the pooling entity in order to allow risk- transfer. Appropriate documentation must be identified, captured and analyzed, such as death certificates or medical provider verification of condition or service in the cases of health/supplementary health. One important problem arises by the fact that life insurance methods are triggered by the death of the unit, which risk is transferred.

However, often problems arise for an individual before then, in that financial resources were threatened by losses occurring prior to death as a consequence of the events leading to death. This is mostly the case when the individual suffers from potentially terminal disease, like malignant cancer, which will inevitably lead to the death of the individual. Typically, the patient is confronted with increasing costs for medical treatment or other related costs as travel expenses or additional heating costs, but also by the decreasing ability to earn the money needed to fulfill their monthly financial needs. This may lead to the necessity of having to make many sacrifices; e.g. not be able to provide sufficient financial support for care, selling their house and filling for bankruptcy. All these financial concerns contrariwise impacted on their health.

Recovery is delayed, stress additionally aggravates poor health, and even sometimes ends in suicide.

As a solution, resource-pooling systems were developed that cover such "critical illnesses", where the resource-pooling unit operated by the insurer provides a lump sum cash payment if the risk-exposed unit, which is, seen from the perspective of the insurer the policyholder, is diagnosed with one of the critical illnesses listed in a defined table of transferred risk. The operation of the resource-pooling system may also be structured to pay out regular income, and the payouts may also benefit the policyholder undergoing a surgical procedure, for example, having a heart bypass operation. Typically, such systems require the risk-exposed unit to survive a minimum number of days (the so- called survival period) from when the illness was first diagnosed. The survival period can vary; however, 14 days is the most commonly used survival period used. In the

Australian market, survival periods are set between 8 - 14 days. However, systems as e.g. indemnity based on accelerated payment and stand-alone products, are also known. The terms, as defined for the risk transfer, typically contain specific predefined triggers or rules to be applied that provide the basis for the determination of when a diagnosis of a critical illness is considered valid. Terms for survival periods may also define parameters providing that the diagnosis need be made by a physician who specializes in the treatment of that illness or condition or name specific tests, e.g. ECG changes in case of a myocardial infarctions, that confirm the diagnosis. In many markets, the trigger parameters for many of the diseases and conditions have become standardized; thus typically resource-pooling systems would use the same definition (cf. stand alone products and accelerated critical illness systems). The standardization of the critical illness definitions serves many purposes, including better clarity of coverage for the risk-exposed units and greater comparability of terms and conditions for risk transfers among different resource-pooling systems. Such terms and conditions are often defined in the policy covering the risk transfer. For example, in the UK the

Association of British Insurers (ABI) has issued a Statement of Best Practice, which includes a number of standard definitions for common critical illnesses. The prior art also provides for alternative methods of critical illness risk transfer, other than the lump sum cash payment method. These critical illness insurance systems can directly pay health providers (as e.g. "tiers payant" systems) for the treatment costs involving critical and life-threatening illnesses that are covered by the policyholder's insurance policy, including fees for specialists and procedures at a select group of high-ranking hospitals up to a certain amount per course of treatment as set out in the policy, but also transfer the payment to the customer.

In the prior art, critical illnesses are typically covered by critical illness risk transfer; these are heart attack, cancer, stroke and coronary artery by-pass surgery. Examples of other conditions that might be covered include: Alzheimer's disease, blindness, deafness, kidney failure, major organ transplant, multiple sclerosis, HIV/ AIDS contracted by blood transfusion or during an operation, Parkinson's disease, paralysis of limb, terminal illness. One of the problems of the risk transfer system as provided by the prior art lies in the fact that the incidence of a condition may vary (i.e. in- or decrease) over time, and that diagnosis and treatment may improve over time, that the financial need to cover some illnesses deemed critical a decade ago is no longer considered necessary today. Likewise, some of the conditions covered today may no longer need to be covered a decade or so from now. It is very difficult to adapt the prior art systems to such changing conditions. What is clear is the fact that the financial hardship at the time of diagnosis and afterwards increases during the course of treatment, which seldom can be meet by the present systems. Furthermore, operating the systems of the prior art requires a high level of human resources, because these systems cannot be

adequately automated. Therefore, a large quantity of the pooled resources are used by the resource-pooling system itself to administer the risk transfer, which makes the risk transfer expensive for the risk-exposed unit. Finally, another problem comes from the fact that, due to the medical progress, many patients no longer die but can survive for many years after undergoing treatment for a heart attack, stroke and cancer. Due to the long survival period, such individuals, who were struck already once by a critical illness, continue to be exposed to the risk of a second or consequential occurrence of a critical illness. In fact, the risk typically does not decrease, since the health of these patients is already weakened by the first incidence of a critical illness. Since critical illnesses are traditionally meant to lead to death, the risk involving such individuals, who may be affected by a second or even more critical illnesses is no longer covered by the resource-pooling system. Therefore, although the patient survived his first bout with a critical illness, he may, at least financially, not survive the second time.

Another limiting feature of traditional critical illness insurance systems is related to mandatory boundary conditions for these systems given by age restrictions for critical illness risk transfer. Traditional systems normally provide a child procedure associated to risk transfer of individuals for example in the age of 30 days to 17 years, and for example a adult procedure associated to risk transfer of individuals between 18 years to 50 years. Above the upper limit (here 50 years), the system does not allow a new individual to pool resources in exchange for risk transfer of critical illness. In some systems, the actual risk cover is longer, e.g. up to the age of 65 year. However, the individual also in those cases must have applied to the system before the first upper limit (here 50 years). For example for UK, individuals can usually apply for cover up to the age of 65 with cover expiring at 75. Therefore, the know system for critical illness risk transfer necessarily are restricted to age conditions as boundary requirements. Older individuals cannot anymore be captured by these systems. Another disadvantage of the state of the art systems, which is especially relevant for risk transfer of critical illness risk for individuals in older age, is already mentioned above. Advances in health care, especially in the intensive care unit (ICU) health care, have enabled more patients to survive acute critical illness, but created a new population who are chronically critically ill. Patients with chronic critical illness have persistent respiratory failure, dysfunction of other organs, and complications including neuropathy/myopathy, anemia, pressure ulcers, and recurrent infections. For example, it could be imaginable that one class of chronic critical illness can be identified by the placement of tracheotomy for prolonged mechanical ventilation. It is a severe condition, imposing heavy burdens on patients, families, professional caregivers, and the health care system. Distressing symptoms are common, resource utilization and costs are enormous, return to the community is rare, and 6-mon†h mortality rates exceed those for most malignancies. An other class of problematic chronic critical illness is related to dementia.

Dementia is defined as a serious loss of global cognitive ability in a previously unimpaired person, beyond what might be expected from normal aging. It may be static, the result of a unique global brain injury, or progressive, resulting in long-term decline due to damage or disease in the body. Although dementia is far more common in the geriatric population (about 5% of those over 65 are said to be involved), it can occur before the age of 65, in which case it is called "early onset dementia". Dementia is not a classical disease, but is indicated typically by set of non- specific symptoms. Affected cognitive areas can be memory, attention, language, and problem solving. Normally, symptoms must be present for at least six months to support a diagnosis. Cognitive dysfunction of shorter duration is called delirium. In advanced stages of dementia, subjects can be disoriented in time (not knowing the day, week, or even year), in place (not knowing where they are), and in person (not knowing who they and/or others around them are). Dementia is classified as either reversible or irreversible, depending upon the etiology of the disease. It is important to note that dementia is not reversible in the sense that the system (human) undergoing the process can be returned to its original state, i.e. can be cured to a state without dementia. In the present state of neurological research, dementia is not curable as such. However, there can be specific conditions where the clinical symptoms mimic or closely mimic those suffered by those with dementia. Reversible used in connection with dementia means that these conditions are reversible. However, as mentioned, it is not the case with dementia itself, and the condition/symptoms most probably will deteriorate over time. Nevertheless that there is no known cure, some treatments can potentially also slow down the process. Concerning reversibility, fewer than 10% of cases of dementia are due to causes that may be reversed with treatment. Some of the most common forms of dementia are: Alzheimer's disease, vascular dementia, frontotemporal dementia, semantic dementia and dementia with Lewy bodies. A patient can exhibit two or more dementing processes at the same time, as none of the known types of dementia protects against the others. About 10% of people with dementia have what is known as mixed dementia, which may be a combination of Alzheimer's disease and multi-infarct dementia. As for other critical illnesses, like malignant cancer, also in the case of dementia, especially in advanced stages of dementia, the patient is exposed to the same problems as above mentioned for critical illnesses. The patient will be ό

confronted with increasing costs for medical treatment or other related costs, and further by the decreasing ability to earn the money needed to fulfill their financial needs. Cost estimations of treating the chronically critically ill in the United States already exceed $20 billion and are increasing. Therefore, it is a need, especially for older people, to provide the possibility for risk transfer related to chronic critical illnesses without an age restriction, excluding the age group, which need risk transfer most for chronic critical illnesses.

There is a further problem, why traditional risk transfer systems related to critical illnesses fail to provide appropriate mechanism in relation to dementia as critical illness, i.e. resource-pooling systems for risk transfer associated with elderly. As mentioned, the traditional critical illness systems are triggered by the occurrence of a critical illness. After the pay out of an associated lump sum, the insured is not any more covered by the risk-transfer system. However, risk factors for dementia increase after critical illness diagnosis in elderly patient. Unfortunately, hospitalization increases the risk of a subsequent diagnosis of dementia. Studies show that illness requiring hospitalization and treatment in the intensive care unit (ICU) due to infection or severe sepsis, neurological dysfunction, such as delirium, or acute dialysis are all independently associated with an increased risk of a subsequent diagnosis of dementia (cf. C. Guerra et al., Risk factors for dementia after critical illness in elderly medicare beneficiaries, Critical Care 2012, 16:R233).DThe studies show that over the three years of follow-up of the occurrence of a critical illness, dementia was newly diagnosed in almost 18% of the patients who received intensive care and survived to hospital discharge. The results of the studies are significant, since even patients with previous indications of cognitive impairment for whom dementia could have been an escalation of a pre-existing condition were excluded from the studies (cf . fig. 8, C. Guerra et al., Critical Care 2012 16:R233, doi:10.1 186/ccl 1901 ). The studies clearly indicate that statistically increasing age is very strongly associated with diagnosis of dementia following ICU. The risk at 75 was more than double that of the 66 to 69 year olds. And this rose to more than five times the risk for those age 85 and older. Women had a marginally higher risk than men and, as other studies have shown, race was also important to risk. Length of stay in ICU was not a factor nor was the need for mechanical ventilation, (cf. fig. 5/6, C. Guerra et al., Critical Care 2012 16:R233) Three factors could be identified related to the critical illness as being independently associated with an increased risk of a diagnosis of dementia (cf. fig. 7, C. Guerra et al., Critical Care 2012 16:R233) : a critical illness with the presence of an infection which increased to a higher risk with more severe infection such as severe sepsis, having acute neurologic dysfunction during critical illness, including anoxic brain damage, encephalopathy, and transient mental disorders, and finally acute renal failure requiring dialysis. This last risk was time-dependent and only increased the risk 6 months after the patient had been discharged from hospital.

Therefore, with good reasons, older people often worry about dementia. While some risks are well known, for example alcoholism or stroke, also the effects of illness are significant. So, it is a great need in the state of the art, to provide automated resource pooling systems, especially for elderly, also covering risks for chronic critical illnesses. The system should be designable to be based on a single occurrence scheme following the diagnosis of specific condition having multiple triggers following each diagnosis. As an option, the system should also be able to capture for multiple occurrence of critical illness, including dementia followed by the occurrence of a critical illness. Traditional critical illness risk transfer systems are not able to capture this group of persons affected by critical chronic illnesses and provide an efficient method for risk transfer, thereby providing mechanism to unburden public social wellness services and duties and to alleviate social hardship.

It has to be mentioned that the above-mentioned correlation is exemplary for the risk group of elderly. Other correlated critical illnesses for elderly are well known. Compare for example the correlation of the risk for a stroke after coronary artery bypass (cf. S. Stamou et al., Stroke After Coronary Artery Bypass, American Heart Association, January 18, 2001 ) .

Summary of the Invention It is an object of the invention to provide a system and method for risk sharing of acute and/or chronic critical illness risks associated with elderly persons by providing a dynamic self-sufficient risk protection for the risk exposure components by means of the critical illness insurance system. The critical illness insurance system, realized as a automated resource-pooling system shall be completely automated and self-adaptable/self-maintaining by its technical means and shall provide the technical risk transfer basis, which can be used by service providers in the risk transfer or insurance technology for risk transfer related to critical illness risks (CI). A further object of the invention provides for a way to technically capture, handle and automate complex related operations of the insurance industry related to critical illness risk transfer. Another object is to synchronize and adjust such operations based on technical means. In contrast to the standard approach, the resource-pooling system shall create a reproducible operation with the desired, technically based, repetitious accuracy based on technical means, process flow and process control/operation. It is also an object of the invention to provide a risk and resource-pooling system able to cope with difficult chronic progress of critical illnesses and further with complex related multiple risk events, especially associated with a cohort of elderly persons.

According to the present invention, these objects are achieved particularly through the features of the independent claims. In addition, further advantageous embodiments follow from the dependent claims and the related description. According to the present invention, the above-mentioned objects for risk sharing of critical illness risks associated with elderly persons are achieved, particularly, by providing a dynamic self-sufficient risk protection for a variable number risk exposure components, i.e. a cohort of elderly persons, by means of the resource-pooling system, wherein the risk exposure components are connected to the resource-pooling system by means of a plurality of payment-receiving modules configured to receive and store payments from the risk exposure components for the pooling of their risks and resources, and wherein the resource-pooling system comprises an event-driven core engine comprising critical illness triggers triggering in a patient dataflow pathway to provide risk protection for a specific risk exposure component based on received and stored payments of the risk exposure components, in that the resource-pooling system comprises a filter-module for capturing age-related parameters of risk exposure components and for filtering risk exposure components associated with an age-related parameter greater than a predefined age-threshold value by means of the predefined age-threshold value, in that the resource-pooling system comprises a predefined searchable table of acute and/or chronic critical illnesses parameters indicating the occurrence of dementia and/or heart attack and/or cancer and/or a stroke and/or coronary artery by-pass surgery, Alzheimer's disease and/or blindness and/or deafness and/or kidney failure and/or major organ transplant and/or multiple sclerosis and/or HIV/AIDS contracted by blood transfusion or during an operation and/or Parkinson's disease and/or paralysis of limb and/or terminal illness in the patient dataflow pathway, in that the total risk of the pooled risk exposure components comprises a critical illness risk contribution of each pooled risk exposure components associated to risk exposure in relation to a diagnosis of an acute or chronic critical illness, wherein the acute or chronic critical illness is comprised in a predefined searchable table of critical illnesses and wherein critical illness losses occur as a consequence to the first diagnosis of risk exposure components with one of the searchable critical illnesses, in that in case of a triggering of an occurrence of an acute or chronic critical illness in the patient data flow pathway of a risk exposure component, a corresponding trigger-flag is set by means of the resource-pooling system and a parametric transfer of payments is assigned to this corresponding trigger-flag, wherein a loss associated with the acute or chronic critical illness is distinctly covered by the resource pooling system based on the respective trigger-flag and based on the received and stored payment parameters from risk exposure components by the parametric transfer from the resource-pooling system to the risk exposure component, and in that a first parametric payment is transferred by triggering the occurrence of the acute or chronic critical illness, a second parametric payment is transferred, in case of an acute critical illness, by a triggering of an acute treatment phase of the acute critical illness or, in case of a chronic critical illness, by triggering of a first treatment phase of the chronic critical illness, and a third parametric payment is transferred, in the case of an acute critical illness, by a triggering of an aftercare phase linked to terminal prognosis data of the acute critical illness or, in case of a chronic critical illness, by a triggering an ongoing care or management phase of the chronic critical illness. The critical illness triggers can for example comprise a trigger for triggering the occurrence of measuring parameters indicating dementia based on measuring parameters associated with the permanent clinical loss of the ability to remember and/or reason and/or perceive, understand, express and give effect to ideas in the patient dataflow pathway. The critical illness triggers further can e.g. comprise a trigger for triggering measuring parameters indicating alcohol and/or drug abuse in the patient dataflow pathway, wherein upon triggering measuring parameters indicating alcohol and/or drug abuse the related risk exposure component is rejected from pooling of the risk and resources by means of the resource-pooling system. As an embodiment variant, it can be provided that the first parametric payment, for example can technically be implemented in that it only is transferred by the triggering of the occurrence of measuring parameters indicating the critical illness of malignant cancer and/or a smaller incidence for ductal carcinoma in situ (DCIS) and/or early prostate carcinoma. Further, acute treatment phase parameters indicating surgery and/or chemotherapy and/or radiotherapy and/or reconstructive surgery can be triggered on the patient data flow pathway by means of a critical illness trigger by the core engine. As an embodiment variant, it is provided that the total risk of the pooled risk exposure components comprises a first risk contribution of each pooled risk exposure components associated to risk exposure in relation to a first diagnosis of a critical illness, wherein the critical illness is comprised in a predefined searchable table of critical illnesses and wherein critical illness losses occur as a consequence to the first diagnosis of risk exposure components with one of the searchable critical illnesses, and that the total risk of the pooled risk exposure components comprises at least a second and/or successional risk contributions associated to risk exposure in relation to a second and/or successional critical illnesses, wherein the critical illnesses are comprised in the predefined searchable table of critical illness parameters, and wherein a critical illness loss losses occurs as a consequence to the second and/or successional diagnosis of risk exposure components with one of the searchable critical illnesses, and that in case of a triggering of an occurrence of a first or second or successional critical illness in the patient data flow pathway of a risk exposure component, a corresponding trigger-flag is set by means of the resource-pooling system and a parametric draw-down transfer of payments is assigned to this corresponding trigger-flag, wherein a loss associated with the first or second or successional critical illness (es) is distinctly covered by the resource pooling system based on the respective trigger-flag and based on the received and stored payment parameters from risk exposure components by the parametric drawdown transfer from the resource-pooling system to the risk exposure component, and that a first parametric payment is transferred by triggering the occurrence of the acute or chronic critical illness, a second parametric payment is transferred, in case of an acute critical illness, by a triggering of an acute treatment phase of the acute critical illness or, in case of a chronic critical illness, by triggering of a first treatment phase of the chronic critical illness, and a third parametric payment is transferred, in the case of an acute critical illness, by a triggering of an aftercare phase linked to terminal prognosis data of the acute critical illness or, in case of a chronic critical illness, by a triggering an ongoing care or management phase of the chronic critical illness. As an embodiment variant, it is provided that the critical illness triggers comprise a trigger for triggering the occurrence of measuring parameters indicating dementia based on measuring parameters associated with the permanent clinical loss of the ability to remember and/or reason and/or perceive, understand, express and give effect to ideas in the patient dataflow pathway. The triggering measuring parameters indicating dementia can e.g. comprise physical parameters and/or psychological parameters and/or biochemical parameters and/or cognitive factors based on adrenal exhaustion factors and/or food and chemical reactions factors and/or nutritional deficiencies factors and/or stress factors and/or depression factors, or denial factors, indicating confirmed impairment of cognitive functions. Further the critical illness triggers triggering the first treatment phase of the chronic critical illness can e.g. comprise first treatment phase parameter indicating psychiatric or old-age in-patient care associated with the risk exposure component comprising acute in-patient admission parameters as a result of deterioration in dementia status requiring for urgent treatment. Finally, the critical illness triggers triggering an ongoing care or management phase of the chronic critical illness can e.g. comprise ongoing care or management phase parameters indicating permanent cognitive and/or motor impairment requiring continuous supervision of another person and/or ongoing care or management phase parameters indicating permanent cognitive and/or motor impairment requiring constant supervision of another person. As an further embodiment variant, the critical illness triggers can e.g. comprise a trigger for triggering the occurrence of measuring parameters indicating stroke based on measuring parameters associated with the possibly permanent cognitive or motor impairment and/or indicating the time of an acute stroke episode in the patient dataflow pathway. The critical illness triggers triggering the first treatment phase of the chronic critical illness can e.g. further comprise first treatment phase parameter indicating a measured time interval of the risk exposure component spend in hospital due to the triggered stroke. Further, the critical illness triggers triggering an ongoing care or management phase of the chronic critical illness comprise ongoing care or management phase parameters indicating permanent impairments of the cognitive functions and/or permanent cognitive and/or motor impairment requiring continuous supervision of another person and/or permanent cognitive and/or motor impairment requiring constant supervision of another person. As an other embodiment variant, it is provided that a second parametric payment is transferred due to the triggering of acute treatment phase parameters indicating surgery and/or

chemotherapy and/or radiotherapy and/or reconstructive surgery. Additionally, recovery phase parameters associated with terminal prognosis data can e.g. be triggered in a patient data flow pathway by means of a critical illness trigger of the core engine. As a further embodiment variant, a third parametric payment is transferred by the triggering of the recovery phase parameters and/or terminal prognosis parameters. As a further variant, the critical illness data of the patient dataflow pathway of the risk exposure component can e.g. additionally be transferred to an automated employee assistance system (EAP: Employee Assistance Program) providing automated support to the risk exposure component. Alternatively or in addition, the critical illness data of the patient dataflow pathway of the risk exposure component can e.g. be transferred to an alert system of an Citizens Advice Bureau (CAB) to activate automated or at least semi-automated, CAB actions. It can also be advantageously that the patient dataflow pathway is e.g. monitored by the resource- pooling system by capturing patient-measuring parameters of the patient data flow pathway at least periodically and/or within predefined time frames or periods. Finally, the patient data flow pathway can e.g. be dynamically monitored by the resource- pooling system in that it triggers patient-measuring parameters of the patient dataflow pathway transmitted from associated measuring systems. The invention has, inter alia, the advantage that the system provides the technical means to meet customer needs related to the financial hardships at the time of the diagnosis of an chronic or acute critical illness, which will become more acute as the treatment progresses. Therefore, cancer fears and the related consequences that are suffered by many people can be met with the automated resource-pooling system according to the invention. The system has, furthermore, the advantage that smaller payments than in traditional critical illness systems are sufficient to allow for a safe operation of the system. The operational aspects of the system are transparent for operators as well as covered risk units, since payment is transferred in response to certain triggers on the cancer patient's information pathways. The system is able to provide an adaptable survival period e.g. 14, 21 or 28 days, to be confirmed or defined by the risk transfer. The system is further able to provide the technical implementation of an automated system that is based on a drawdown payment operation or a predefined payment operation. The system also provides the technical means, which can support different underwriting options, such as (i) underwritten with a set of questions, (ii) in/out underwriting, (iii) inclusion or exclusion of Pre-Existing Condition Exclusion (PECE) and/or a Related Conditions

Exclusion with the associated problems of risk transfer. PECE-problems are based on the fact that resource-pooling systems are often required by an employer to create safety provisions, if there is a diagnosis of a critical illness in an employee, in order to provide a lump sum benefit for an employee (or the employee's spouse or children, if comprised in the risk transfer), who is diagnosed with one of the defined medical conditions or undergoes one of the listed surgical procedures. However, many systems fail to take over risk transfers if the individual suffered from the insured condition, before the risk transfer was activated (this is known as the Pre-Existing Condition Exclusion), or because the individual suffered from a condition that led to a claim under the insured illness - for example, it was known that an individual suffered from high blood pressure before the risk transfer being activated, and suffered a stroke after the risk transfer had been activated. Another advantage of the system is based on the fact that payments are directly transferred to the risk transfer unit or the consumer/client. Therefore, the system is able to enhance critical illness insurance offerings by independent financial advisers (IFA). IFAs are persons who give impartial advice to clients on financial matters and who are not employed by any financial institution, although commissions for the sale of products may be received. Especially the IFA service is made completely cost- transparent to the consumer.

In an embodiment variant, the above-mentioned objects for risk sharing of critical illness risks of a variable number of risk exposure components are achieved, particularly, by providing a dynamic self-sufficient risk protection for the risk exposure components by means of the critical illness insurance system based on a resource- pooling system, in that risk-related component data are processed by an assembly module of the resource-pooling system and the likelihood of said risk exposure is provided by means of the assembly module for one or a plurality of the pooled risk exposure components based on the risk-related component data, wherein the risk exposure components are connected to the resource-pooling system by means of a plurality of payment receiving modules, and payment data are received and stored by means of a payment data store from the risk exposure components for the pooling of their risks, and wherein the resource-pooling system triggers a patient dataflow pathway by means of critical illness triggers of an event-driven core engine in order to provide risk protection for a specific risk exposure component based on received and stored payments from the risk exposure components, in that a first risk contribution of each pooled risk exposure components related to a first diagnosis of a critical illness is associated with risk exposure of each pooled risk exposure component, and the total risk of the pooled risk exposure components is determined by means of the resource- pooling system, wherein the critical illness is comprised in a predefined searchable table of critical illnesses, and wherein critical illness losses occur as a consequence of the first diagnosis of risk exposure components due to any one of the searchable critical illnesses, in that a first risk contribution of each of the pooled risk exposure components related to a second and/or successional risk contribution diagnosis of a critical illness is associated with risk exposure of each pooled risk exposure component, and the total risk of the pooled risk exposure components is determined by means of the resource- pooling system, wherein the critical illness is comprised in the predefined searchable table of critical illnesses, and wherein critical illness losses occur as a consequence of the second and/or successional diagnosis of risk exposure components due to any one of the searchable critical illnesses, in that, in case an occurrence of a first or second or successional critical illness on the patient data flow pathway of a risk exposure component is triggered, a corresponding trigger-flag is set by means of the resource- pooling system and a parametric draw-down transfer of payments is assigned to this corresponding trigger-flag, wherein a loss associated with the first or second or successional critical illness is distinctly covered by the resource-pooling system based on the respective trigger-flag and based on the received and stored payment parameters from risk exposure components by the parametric draw-down transfer from the resource-pooling system to the risk exposure component, and in that a first parametric payment is transferred by the triggering of the occurrence of the critical illness, a second parametric payment is transferred by the triggering of an acute treatment phase, and a third parametric payment is transferred by the triggering of an recovery phase associated with terminal prognosis data. This embodiment variant has the advantage of further providing a parametric draw-down payment. It is clear to a man skilled in the art, that the present system can easily be expanded to comprise more than the herein described three trigger-levels.

In one embodiment variant, the receiving and preconditioned storage of payments from risk exposure components for the pooling of their risks is dynamically determined based on total risk and/or the likelihood of the risk exposure of the pooled risk exposure components. This embodiment variant has, inter alia, the advantage that the operation of the resource-pooling system can be dynamically adapted to changing conditions of the pooled risk, as, for example, changing demographic conditions or changing age distributions or the like of the pooled risk components. A further advantage is that the system needs no manual adaption, when it is operated in different environments, places or countries, because the size of the payments of the risk exposure components is directly related to the totally pooled risk. In another embodiment variant, the number of pooled risk exposure components is dynamically adapted, by means of the resource-pooling system, to a range where non-covariant occurring risks covered by the resource-pooling system affect only a relatively small proportion of the total pooled risk exposure components at a given time. This variant has, inter alia, the advantage that the operational and financial stability of the system can be improved.

In a further embodiment variant, the critical illness triggers are dynamically adapted by means of an operating module based on time-correlated incidence data for a critical illness condition and/or diagnosis or treatment conditions indicating improvements in diagnosis or treatment. This variant has, inter alia, the advantage that improvements in diagnosis or treatment can be dynamically captured by the system and dynamically affect the overall operation of the system based on the total risk of the pooled risk exposure components.

In yet another embodiment variant, the first, second and third parametric payment are leveled by a predefined total payment sum determined at least based on the risk-related component data and/or on the likelihood of the risk exposure for one or a plurality of the pooled risk exposure components based on the risk-related

component data, and wherein the first parametric payment that is transferred is up to 30% of said total payment sum, and the second parametric payment that is transferred is up to 50% of said total payment sum, and the third parametric payment that is transferred is up to the left over part given by said total payment sum, minus the actual first parametric payment and the second parametric payment. The predefined total payments can e.g. be leveled to any appropriate lump sum, such as, for example, $50,000 up to $500,000, or any other sum related to the total transferred risk and the amount of the periodic payments of the risk exposure component. As embodiment variant of the realization of the system, the critical illness trigger e.g. can comprise multidimensional trigger channels, wherein each of said trigger-flags is assigned to a first dimension trigger channel, comprising a first trigger-level triggering occurrence parameters of the critical illness, a second trigger-level triggering acute treatment phase parameters, and a third trigger-level triggering recovery phase parameters associated with terminal prognosis data, and each of said trigger-flags is assigned to at least a second or higher dimension trigger channel, and comprises additional trigger- stages based on the first, second and/or third trigger-level of the first dimension trigger channel. As a further variant, the critical illness trigger can also comprise multidimensional trigger channels, wherein each of said trigger-flags is assigned to a first dimension of a trigger channels comprising a first trigger-level relative to triggering occurrence parameters of the critical illness, a second trigger-level relative to triggering acute treatment phase parameters, and a third trigger-level relative to triggering recovery phase parameters associated with terminal prognosis data, and each of said trigger-flags is assigned to a second dimension of trigger channels comprising a first trigger-level triggering on a first stage of progression-measuring parameters of the occurred critical illness, and one or more higher trigger-levels triggering on higher stages of progression-measuring parameters of the occurred critical illness. This variant, inter alia, has the advantage that the draw-down payments or the payments of predefined amounts, which depend on the first, second or third trigger level, i.e. the different stages of triggers, allow for an adapted payment of the total sum that is dependent on the stage of the critical illness, as triggered by the system. In one embodiment variant, a periodic payment transfer from the risk exposure components to the resource pooling system via a plurality of payment receiving modules is requested by means of a monitoring module of the resource- pooling system, wherein the risk transfer or protection for the risk exposure components is interrupted by the monitoring module when the periodic transfer is no longer detectable by means of the monitoring module. As a variant, the request for periodic payment transfer can be interrupted automatically or waived by means of the monitoring module, when the occurrence of indicators for critical illness is triggered in the patient data flow pathway of a risk exposure component. These embodiment variants have, inter alia, the advantage that the system allows for a further automation of the monitoring operation, especially of its operation with regard to the pooled resources.

In a further embodiment variant, an independent verification critical illness trigger of the resource pooling system is activated in cases of a triggering of the occurrence of indicators for critical illness in the patient data flow pathway of a risk exposure component by means of the critical illness trigger and wherein the independent verification critical illness trigger additionally is triggering for the occurrence of indicators regarding critical illness in an alternative patient data flow pathway with independent measuring parameters from the primary patient data flow pathway in order to verify the occurrence of the critical illness at the risk exposure component. As a variant, the parametric draw-down transfer of payments is only assigned to the corresponding trigger-flag, if the occurrence of the critical illness at the risk exposure component is verified by the independent verification critical illness trigger. These embodiment variants have, inter alia, the advantage that the operational and financial stability of the system can thus be improved. In addition, the system is rendered less vulnerably relative to fraud and counterfeit.

In addition to the system, as described above, and the corresponding method, the present invention also relates to a computer program product that includes computer program code means for controlling one or more processors of the control system in such a manner that the control system performs the proposed method; and it relates, in particular, to a computer program product that includes a computer-readable medium containing therein the computer program code means for the processors. Brief Description of the Drawings

The present invention will be explained in more detail, by way of example, with reference to the drawings in which:

Figure 1 shows a block diagram illustrating schematically an exemplary parametric, event-driven critical illness insurance system based on a resource-pooling system 1 according to the invention for risk sharing of critical illness risks associated with elderly persons by providing a dynamic self-sufficient risk protection for a variable number of risk exposure components 21 , 22, 23, i.e. said elderly persons. The resource- pooling system 1 comprises an assembly module 5 to process risk- related component data 21 1 , 221 , 231 and to provide the likelihood 21 2, 222, 232 of said risk exposure for one or a plurality of the pooled risk exposure components 21 , 22, 23, wherein the risk exposure components 21 , 22, 23 are connected to the resource-pooling system 1 by means of a plurality of payment receiving modules 4 that are configured to receive and store 6 payments 214, 224, 234 from the risk exposure components 21 , 22, 23 for the pooling of their risks, and wherein the resource-pooling system 1 comprises an event- driven core engine 3 that comprises critical illness triggers 31 , 32, 33, which trigger a patient data flow pathway 21 3, 223, 233 to provide risk protection for a specific risk exposure component 21 , 22, 23. The patient data flow pathway 213, 223, 233 is monitored by the resource-pooling system 1 in that patient measuring parameters of the patient data flow pathway 213, 223, 233 are captured, wherein the patient data flow pathway 213, 223, 233 is dynamically monitored and triggered for patient measuring parameters of the patient data flow pathway 213, 223, 233, which is transmitted from associated measuring systems.

Figure 2 shows a block diagram illustrating schematically exemplary trigger stages of the resource-pooling system, wherein reference number 1001 is assigned to the triggering of the critical illness, for example the malignant cancer. Reference number 1002 designates the triggering of the treatment phase, such as, for example, surgery, chemotherapy, radiotherapy or medications of drugs etc. Reference number 1003 designates the triggering of the recovery phase or the triggering of the terminal illness and/or the aftercare phase. Finally, reference number 1004 designates the triggering of additional support services. Reference number 1004 gives an example of additional trigger stages to the critical illness triggers 31 , 32, 33 of the core engine module 3.

Figure 3 shows a diagram illustrating schematically an exemplary payment drawdown as it can be provided by the resource pooling system 1 in case of triggering critical illness at a risk exposure component. Figure 4 shows a block diagram illustrating schematically an exemplary parameterization of the risk exposure for critical illness of the risk exposure components 21 , 22, 23. The reference numeral 520 gives the total transferred risk of a specific risk exposure component 21 , 22, 23 comprising at least a first risk contribution 51 1 , 521 , 531 for a first occurrence of a critical illness. Further, it comprises a second risk contribution 512, 522, 532 related to a second occurrence of a critical illness. It also can comprise third 513, 523, 533 and subsequent 51 i, 52i, 53i risk contributions thereafter; i.e., "i" herein denotes the i-†h risk distribution.

Figure 5 shows a diagram illustrating schematically the cumulative incidence of all mortality and dementia for elderly ICU survivors over three years, adjusting for mortality as a competing risk. The dashed line is the cumulative incidence of all mortality during follow-up. The solid line is the cumulative incidence of dementia after adjusting for mortality as a competing event.

Figure 6 shows a diagram illustrating schematically the cumulative incidence of dementia by five year age categories. Cumulative incidence of dementia, adjusted for mortality as a competing event, by age.

Figure 7 shows a diagram illustrating schematically the cumulative incidence of dementia, stratified by (A) infection or severe sepsis, (B) acute neurologic dysfunction, (C) acute renal replacement therapy. Cumulative incidence (A. long dashed line is for infection, short dashed line is for severe sepsis, solid line is for no infection; B. dashed line is for neurologic dysfunction, solid line is for none; C. dashed line is for acute RRT (renal replacement therapy), solid line is for none of dementia after adjusting for mortality as a competing event.

Figure 8 shows a flowchart illustrating schematically the exclusions of patients with previous indications of cognitive impairment for whom dementia could have been an escalation of a pre-existing condition resulting in the final cohort indicating the risk for related occurrence of dementia as critical illness for elderly.

Detailed Description of the Preferred Embodiments

Figure 1 illustrates, schematically, an architecture for a possible implementation of an embodiment of the parametric, event-driven resource-pooling system 1 for risk sharing of critical illness risks associated with elderly persons. In Figure 1 , reference numeral 1 refers to the resource-pooling system for risk sharing of the risk exposure components 21 , 22, 23... The resource-pooling system 1 provides a dynamic self-sufficient risk protection and corresponding risk protection structure for a variable number of risk exposure components 21 , 22, 23, i.e.; persons or individuals, by its means. The system 1 includes at least one processor and associated memory modules. The system 1 can also include one or more display units and operating elements, such as a keyboard, and/or graphical pointing devices as a computer mouse. The resource- pooling system 1 is a technical device comprising electronic means that can be used by service providers in the field of risk transfer or insurance technology for risk transfer related to critical illness risks (CI) . The invention seeks to technically capture, handle and automate complex related operations of the insurance industry. An other aspect is to synchronize and adjust such operations based on technical means. In contrast to the standard approach, the resource-pooling system also achieves an reproducible operations with the desired technical, repetitious accuracy because it is completely based on technical means, process flow and process control/operation.

The resource-pooling system 1 comprises an assembly module 5 to process risk related component data 21 1 , 221 , 231 and to provide the likelihood 212, 222, 232 of said risk exposure for one or a plurality of the pooled risk exposure components 21 , 22, 23, etc. based on the risk-related component data 21 1 , 221 , 231 . The resource-pooling system 1 can be implemented as a technical platform, which is developed and implemented to provide critical illness risk transfer through a plurality of (but at least one) payment receiving module 4. The risk exposure components 21 , 22, 23, etc. are connected to the resource-pooling system 1 by means of the plurality of payment receiving modules 4 configured to receive and store payments 214, 224, 234 from the risk exposure components 21 , 22, 23 for the pooling of their risks in a payment data store 6. The plurality of risk exposure components 21 , 22, 23 from a cohort of selected elderly persons, where during capturing the risk exposure components 21 , 22, 23 to be pooled by the system 1 , age-related parameters of risk exposure components are captured. Based on the captured age-related parameters the risk exposure

components are filtered by means of a filter module, wherein by means of the filter module only risk exposure components 21 , 22, 23 associated with an age-related parameter greater than a predefined age-threshold value are allowed to be pooled by the system 1 . The predefined age-threshold value can e.g. be set to 50 years or an appropriate other age allowing to select specific cohort of elderly persons. As an embodiment variant, the selection criterion can comprise further parameters as gender, origin, habits, urban or rural conglomeration etc.

The storage of the payments can be implemented by transferring and storing component-specific payment parameters. The payment amount can be dynamically determined by means of the resource-pooling system 1 based on total risk of the overall pooled risk exposure components 21 , 22, 23. For the pooling of the resources, the resource-pooling system 1 can comprise a monitoring module 8 requesting a periodic payment transfer from the risk exposure components 21 , 22, 23, etc. to the resource-pooling system 1 by means of the plurality of payment receiving modules 2, wherein the risk protection for the risk exposure components 21 , 22, 23 is interrupted by the monitoring module 8, when the periodic transfer is no longer detectable by means of the monitoring module 8. In one embodiment variant, the request for periodic payment transfers is automatically interrupted or waived by means of the monitoring module 8, if the occurrence 1001 of indicators for critical illness 71 , 72, 73 is triggered 31 in the patient data flow pathway of a risk exposure component 21 , 22, 23,... The resource-pooling system 1 further comprises a predefined searchable table 7 of acute and/or chronic critical illnesses 71 , 72, 73 parameters indicating the

occurrence of dementia and/or heart attack and/or cancer and/or a stroke and/or coronary artery by-pass surgery, Alzheimer's disease and/or blindness and/or deafness and/or kidney failure and/or major organ transplant and/or multiple sclerosis and/or HIV/AIDS contracted by blood transfusion or during an operation and/or Parkinson's disease and/or paralysis of limb and/or terminal illness and/or other any definable and measurable critical illnesses in the patient dataflow pathway 213, 223, 233. The triggers 31 , 32, 33 are uni- or bidirectionally connected with the predefined searchable table 7 of acute or chronic critical illnesses 71 , 72, 73, wherein the triggering 31 , 32, 33 is performed based on the acute and/or chronic critical illnesses 71 , 72, 73 parameters stored in the predefined searchable table 7. The critical illness triggers 31 , 32, 33 can comprise a trigger 31 for triggering the occurrence of measuring parameters indicating dementia based on measuring parameters associated with the permanent clinical loss of the ability to remember and/or reason and/or perceive, understand, express and give effect to ideas in the patient dataflow pathway 213, 223, 233. The critical illness triggers 31 , 32, 33 further can comprise a trigger 31 for triggering measuring parameters indicating alcohol and/or drug abuse in the patient dataflow pathway 213, 223, 233, wherein upon triggering measuring parameters indicating alcohol and/or drug abuse the related risk exposure component (21 , 22, 23, ...) is rejected from pooling of the risk and resources by means of the resource-pooling system 1 . As also illustrated schematically in Figure 1 , the resource-pooling system 1 includes a data storing module for capturing the risk-related component data and multiple functional modules; e.g., namely the payment receiving modules 4, the core engine 3 with the triggers 31 , 32, 33, the assembly module 5 or the operating module 30. The functional modules can be implemented at least partly as programmed software modules stored on a computer readable medium, connected as fixed or removable to the processor(s) of system 1 or to associated automated systems. One skilled in the art understands, however, that the functional modules can also be implemented fully by means of hardware components, units and/or appropriately implemented modules. As illustrated in Figure 1 , system 1 can be connected via a network, such as a

telecommunications network, to the payment receiving module 4. The network can include a wired or wireless network; e.g., the Internet, a GSM network (Global System for Mobile Communication), an UMTS network (Universal Mobile Telecommunications System) and/or a WLAN (Wireless Local Region Network), and/or dedicated poin†-†o- point communication lines. In any case, the technical electronic money schemes for the present system comprises adequate technical, organizational and procedural safeguard means in order to prevent, contain and detect threats to the security of the scheme, particularly the threat of counterfeits. The resource-pooling system 1 comprises further all necessary technical means for electronic money transfer and association e.g. initiated by one or more associated payment receiving modules 4 over an electronic network. The monetary parameters can be based on all possible electronic and transferable means as e.g. e-currency, e-money, electronic cash, electronic currency, digital money, digital cash, digital currency, or cyber currency etc., which can only be exchanged electronically. The payment data store 6 provides the means for associating and storing monetary parameters associated with a single of the pooled risk exposure components 21 , 22, 23. The present invention can involve the use of the mentioned network, such as e.g. computer networks or telecommunication networks, and/or the internet and digital stored value systems. Electronic funds transfer (EFT), direct deposit, digital gold currency and virtual currency are further examples of electronic money. Also, the transfer can involve technologies, such as financial cryptography and technologies enabling the same. For the transaction of the monetary parameters, it is preferable that hard electronic currency is used without the technical possibilities for disputing or reversing any charges. The resource-pooling system 1 supports, for example, non-reversible transactions. The advantage of this arrangement is that the operating costs of the electronic currency system are greatly reduced by not having to resolve payment disputes. However, this way, it is also possible for electronic currency transactions to clear instantly, making the funds available immediately to the system 1 . This means that using hard electronic currency is more akin to a cash transaction. However, also conceivable is the use of soft electronic currency, such as currency that allows for the reversal of payments, for example having a "clearing time" of 72 hours, or the like. The way of the electronic monetary parameter exchange applies to all connected systems and modules related to the resource- pooling system 1 of the present invention, such as e.g. the payment receiving module 4. The monetary parameter transfer to the resource-pooling system 1 can be initiated by a payment-receiving module 4 or on request of the resource-pooling system 1 .

The resource-pooling system 1 comprises an event-driven core engine 3 comprising critical illness triggers 31 , 32, 33 for triggering component-specific measuring parameters in the patient data flow pathway 213, 223, 233 of the assigned risk exposure components 21 , 22, 23 The patient data flow pathway 213, 223, 233 can e.g. be monitored by the resource-pooling system 1 , capturing patient-related measuring parameters of the patient data flow pathway 213, 223, 233 at least periodically and/or within predefined time periods. The patient data flow pathway 213, 223, 233 can, for example, also be dynamically monitored by the resource-pooling system 1 , by triggering patient-measuring parameters of the patient data flow pathway 213, 223, 233 transmitted from associated measuring systems. Triggering the patient data flow pathway 213, 223, 233, which comprises dynamically recorded measuring parameters of the concerned risk exposure components 21 , 22, 23 the system 1 is able to detect the occurrence of a critical illness and dynamically monitor the different stages during the progress of the critical illness in order to provide appropriately adapted and gradated risk protection for a specific risk exposure component 21 , 22, 23 Such a risk protection structure is based on received and stored payments 214, 224, 234 from the related risk exposure component 21 , 22, 23 and/or related to the total risk of the resource-pooling system ,1 based on the overall transferred critical illness risks of all pooled risk exposure components 21 , 22, 23 Figure 2 shows a block diagram with possible trigger stages, wherein reference number 1001 is assigned to the triggering of the critical illness, for example cancer; reference number 1002 designates the triggering of the treatment phase, such as, for example, surgery, chemotherapy, radiotherapy or the administration of medication, etc.; reference number 1003 designates the triggering of the recovery phase or the triggering of the terminal illness and/or the aftercare phase.; and reference number 1004 designates the triggering of additional support services.

Reference number 1004 gives an example of additional trigger stages to the critical illness triggers 31 , 32, 33 of the core engine module 3. The critical illness triggers 31 , 32, 33 can e.g. comprise a trigger 31 for triggering the occurrence 1001 of the measuring parameters, indicating a heart attack and/or cancer and/or a stroke and/or coronary artery by-pass surgery in the patient data flow pathway 213, 223, 233. Further, the critical illness triggers 31 , 32, 33 can comprise a trigger 31 for triggering the occurrence 1001 of measuring parameters indicating Alzheimer's disease, dementia, blindness, deafness, kidney failure, major organ transplant, multiple sclerosis, HIV/AIDS contracted by blood transfusion or during an operation, Parkinson's disease, paralysis of limb, terminal illness in the patient data flow pathway 213, 223, 233. The majority of cases of occurrences of critical illness are typically related to heart attack, stroke and cancer, as can be expected. The average age of individual 21 , 22, 23, at which a critical illness can be detected in the patient data flow pathway 213, 223, 233, is ± 41 years; however, this depends on the development of diagnostic and other medical means. These statistics are common for all countries where statistics are maintained. However, it is of great concern to observe the increasing number of critical illness occurrences - particularly regarding cancer cases. In most countries, this observed increase is more than 50%, and in some even 80%. Earlier diagnosis due to better diagnostic equipment may be partially responsible for these figures. Therefore, to ensure proper operation of the resource-pooling system 1 , the definitions of the stored trigger parameters 71 , 72, 73 of critical illness in the trigger table 7 can be dynamically adapted based on a monitoring of changing risks in the risk exposure components 21 , 22, 23. In particular, the trigger parameters 71 , 72, 73 can be region-specific, country-specific and/or specific of the total pooled risk, adapted or changed. New critical illnesses 71 , 72, 73 can be added, while others can be deleted from the triggerable list of critical illnesses by the resource-pooling system, owing to better treatments or other changed environmental conditions. In one embodied variant, the critical illness triggers 31 , 32, 33 can be dynamically adapted by means of an operating module 30, based on time-correlated incidence dates of a critical illness condition and/or diagnosis or treatment conditions indicating improvements in diagnosis or treatment.

In addition to the adaptation of the triggers 31 , 32, 33, the amount of requested payments from the risk exposure components 21 , 22, 23 can be accordingly adjusted by the resource-pooling system 1 .Therefore the receiving and preconditioned storage 6 of payments 214, 224, 234 from risk exposure components 21 , 22, 23, ... for the pooling of their risks can be determined dynamically, based on total risk 50 and/or the likelihood of the risk exposure of the pooled risk exposure components 21 , 22, 23, ... To improve operational and functional security of the resource- pooling system 1 even further, the number of pooled risk exposure components 21 , 22, 23, ... can be dynamically adapted by means of the resource-pooling system 1 to a range where non-covariant, occurring risks covered by the resource-pooling system 1 affect only a relatively small proportion of the totally pooled risk exposure components 21 , 22, 23, ... at a given time.

The total risk 50 of the pooled risk exposure components 21 , 22, 23, ... can comprise several risk contributions, as it can comprise a first risk contribution 51 1 , 521 , 531 of each pooled risk exposure component 21 , 22, 23, ... that is associated with risk exposure in relation to a first diagnosis of a critical illness. The triggering parameters 71 , 72, 73 of the covered critical illnesses is comprised and stored in a predefined searchable table 7, such as e.g. an appropriately structured hash table, of critical illnesses 71 , 72, 73, respectively critical illness parameters 71 , 72, 73. The critical illness losses occur as a consequence to the first diagnosis of risk exposure components 21 , 22, 23, ... with regard to one of the searchable critical illnesses; i.e., the possible need of a risk exposure components 21 , 22, 23, ... to be covered by the pooled resources of the resource-pooling system 1 is linked to the risk of the occurrence of a critical illness requiring complex medical treatment and handling. The total risk 50 of the pooled risk exposure components 21 , 22, 23,... can further comprise a second risk contribution 512,522,523 and/or third or additional successional risk contributions

513/521 /...51 i/52i/53i; i.e., up to the i-†h risk contribution, associated with risk exposure in relation to a second and/or successional critical illness(es). The critical illnesses 71 , 72, 73 for triggering the second risk contribution 512, 522, 523 and/or third or additional successional risk contributions 513/521 /...51 i/52i/53i are the same as for the first risk contribution and comprised in the predefined searchable table 7 of critical illness parameters 71 , 72, 73. However, in the primary embodiment variant, the total risk contribution is only based on a single triggering of an occurrence of a acute and/or chronic critical illness, i.e. the primary scheme is designed to be a single occurrence scheme following the diagnosis of specific condition, where there are multiple triggers following each diagnosis, enabling the system to handle chronic critical illness.

Figure 4 shows a block diagram with an exemplary parameterization of the risk exposure for critical illness of the risk exposure components 21 , 22, 23. The reference numeral 520 gives the total transferred risk of a specific risk exposure component 21 , 22, 23 comprising a† least a first risk contribution 51 1 , 521 , 531 for a first occurrence of a critical illness. Further comprised is a second risk contribution 51 2, 522, 532 related to a second occurrence of a critical illness. Also comprised can be a third 51 3, 523, 533 and subsequent 51 i,52i,53i risk contribution; i.e., "i" denotes the i-†h risk distribution. In case of triggering an occurrence of a first (or in case of multiple occurrence handling: second or successional) critical illness 71 ,72,73 on the patient dataflow pathway 21 3,223,233 of a risk exposure component 21 , 22, 23, i.e. if a triggering of an occurrence of a first or second or successional critical illness 71 , 72, 73 goes into effect in the patient data flow pathway 21 3, 223, 233, a corresponding trigger-flag is set by means of the resource-pooling system 1 and a parametric drawdown or predefined transfer of payments is assigned to this corresponding trigger-flag. A loss associated with the first or second or successional critical illness (es) 71 , 72, 73 is distinctly covered by the resource-pooling system 1 , based on the respective trigger- flag and based on the received and stored payment parameters 214, 224, 234 from risk exposure components 21 , 22, 23 by the parametric draw-down or predefined transfer from the resource-pooling system 1 to the risk exposure component 21 , 22, 23,e†c. The payment receiving module 4 can, as an input device, comprise one or more data processing units, displays and other operating elements, such as a keyboard and/or a computer mouse or another pointing device. As mentioned previously, the receiving operation of the payments with regard to the risk exposure components 21 , 22, 23 is monitored based on the stored component-specific payment parameters in the payment data store 6. The different components of the resource-pooling system 1 , such as e.g. the payment receiving module 4 with the core engine 3 and the assembly module 5 can be connected via a network for signal transmission. The network can comprise, e.g., a telecommunications network, such as a wired or wireless network, e.g., the internet, a GSM network (Global System for Mobile Communications) , an UMTS network (Universal Mobile Telecommunications System) and/or a WLAN (Wireless Local Area Network) , a Public Switched Telephone Network (PSTN) and/or dedicated point- to-point communication lines. The payment receiving module 4 and/or core engine 3 and the assembly module 5 can also comprise a plurality of interfaces for connecting to the telecommunications network adhering to the transmission standard or protocol. As an embodied variant, the payment receiving module 4 can also be implemented as an external device relative to the resource-pooling system 1 , which provides the risk transfer service via the network for signal transmission, e.g. by a secured data transmission line.

A first parametric payment 21 1 is transferred by triggering the occurrence 1001 of the critical illness 71 , 72, 73 by means of the critical illness trigger 31 of the core engine 3, thus triggering the measuring parameters of the specific risk exposure component 21 , 22, 23 in the related patient data flow pathway 213, 223, 233. The first, second and third parametric payments are denoted in "units" in the examples according to table 1 to 5 (see below) . The amount of those units (table 1 to 5) are just examples and can be either set as fixed running parameters of the system 1 for the duration of the transferred risks or any other defined time frame, or dynamically adapted based upon possibly changing environmental boundary conditions, as e.g. medical or therapeutic cost, or based upon the total pooled resources by means of the system 1 . The changing of the environmental boundary conditions can by dynamically triggered or captured by the system 1 . One "unit" can be assigned to correspond to an equivalent in a specific currency (e.g. EUROs, dollars or Swiss francs). The core engine 3, analogously to the resource-pooling system 1 and the other components of the system, is implemented based on underlying electronic components, steering codes and interacting interface devices, such as e.g. appropriate signal generation modules or other modules interacting electronically by means of appropriate signal generation between the different modules, devices, or the like. For example, the first parametric payment can be transferred by triggering 31 the occurrence 1001 of measuring parameters indicating the critical illness 71 , 72, 73 of malignant cancer and/or smaller incidence of ductal carcinoma in situ (DCIS) and/or early prostate carcinoma. In the case of dementia, the critical illness triggers 31 , 32, 33 can comprise a trigger 31 for triggering the occurrence of measuring parameters indicating dementia based on measuring parameters associated with the permanent clinical loss of the ability to remember and/or reason and/or perceive, understand, express and give effect to ideas in the patient dataflow pathway 213, 223, 233. The triggering measuring parameters indicating dementia can also comprise physical parameters and/or psychological parameters and/or biochemical parameters and/or cognitive factors based on adrenal exhaustion factors and/or food and chemical reactions factors and/or nutritional deficiencies factors and/or stress factors and/or depression factors, or denial factors, indicating confirmed impairment of cognitive functions. In the case of stroke, the critical illness triggers 31 , 32, 33 can comprise a trigger 31 for triggering the occurrence of measuring parameters indicating stroke based on measuring

parameters associated with the possibly permanent cognitive or motor impairment and/or indicating the time of an acute stroke episode in the patient dataflow pathway 213, 223, 233. A second parametric payment 212 is transferred by triggering measuring parameters in the patient data flow pathway 213, 223, 233 indicating the initiation of an acute or first treatment phase 1002 by means of the critical illness trigger 32 of the core engine 3. This is achieved by triggering 32 in case of an acute critical illness 71 , 72, 73, of an acute treatment phase 1002 of the acute critical illness 71 , 72, 73 or, in case of a chronic critical illness 71 , 72, 73, by triggering 32 of a first treatment phase 1002 of the chronic critical illness 71 , 72, 73. For example, acute or first treatment phase parameters 1002 indicating surgery and/or chemotherapy and/or radiotherapy and/or

reconstructive surgery can be triggered in patient data flow pathway 213, 223, 233 by means of a critical illness trigger 32 of the core engine 3. For example, the second parametric payment can only be transferred by triggering 32 acute or first treatment phase parameters 1002, indicating surgery and/or chemotherapy and/or radiotherapy and/or reconstructive surgery. In the example of dementia the critical illness triggers for triggering 32 the first treatment phase 1002 of the chronic critical illness 71 , 72, 73 can comprise first treatment phase parame†erl 002 indicating psychiatric or old-age in- patient care associated with the risk exposure component 21 , 22, 23, ... comprising acute in-patient admission parameters as a result of deterioration in dementia status requiring for urgent treatment. In the example of stroke the critical illness triggers for triggering 32 the first treatment phase 1002 of the chronic critical illness 71 , 72, 73 can comprise first treatment phase parameter 1002 indicating a measured time interval of the risk exposure component 21 , 22, 23, ... spend in hospital due to the triggered stroke.

Finally, a third parametric payment 213 is transferred, in the case of an acute critical illness 71 , 72, 73, by a triggering 33 of an aftercare phase 1003 linked to terminal prognosis data of the acute critical illness 71 , 72, 73. In case of a chronic critical illness 71 , 72, 73, the third parametric payment 213 is transferred by a triggering 33 an ongoing care or management phase of the chronic critical illness 71 , 72, 73. I.e. the third parametric payment 213 is transferred in case of an acute chronic illness by triggering measuring parameters in the patient data flow pathway 213, 223, 233 indicating the initiation of a recovery phase 1003 linked to terminal prognosis data by means of the critical illness trigger 33 by the core engine 3, and in case of a chronic critical illness analogously. For example, recovery phase parameters 1003 linked to or associated with terminal prognosis data are triggered in patient data flow pathway 213, 223, 233 by means of a critical illness trigger 33 by the core engine 3. As a variant, the third parametric payment is only transferable by triggering 33 recovery phase parameters and/or terminal prognosis parameters 1003 and/or ongoing care or management phase. In case of dementia, the critical illness triggers 31 ,32,33 for triggering an ongoing care or management phase of the chronic critical illness 71 , 72, 73 can comprise ongoing care or management phase parameters indicating permanent cognitive and/or motor impairment requiring continuous supervision of another person and/or ongoing care or management phase parameters indicating permanent cognitive and/or motor impairment requiring constant supervision of another person. In case of stroke, the critical illness triggers 31 ,32,33 for triggering an ongoing care or management phase of the chronic critical illness 71 , 72, 73 can comprise ongoing care or management phase parameters indicating permanent impairments of the cognitive functions and/or permanent cognitive and/or motor impairment requiring continuous supervision of another person and/or permanent cognitive and/or motor impairment requiring constant supervision of another person.

Therefore, if triggering 1001 takes effect, an occurrence of a first critical illness 71 , 72, 73 in the patient dataflow pathway 213, 223, 233 of a risk exposure component 21 , 22, 23, any associated loss is covered by the resource-pooling system 1 based on the received and stored payments 214, 224, 234 from risk exposure components 21 , 22, 23 by transferring a parametric diagnosis payment 2001 from the resource-pooling system 1 to the risk exposure component 21 , 22, 23, etc.; if triggering 1002 takes effect, an occurrence of an acute treatment phase or first treatment phase in the patient data flow pathway 213, 223, 233 of an associated loss is covered by the resource-pooling system 1 based on the received and stored payments 214, 224, 234 from risk exposure components 21 , 22, 23 by transferring a parametric treatment phase payment 2002 from the resource-pooling system 1 to the risk exposure component 21 , 22, 23, etc.; and if triggering 1003 takes effect, an occurrence of a recovery phase linked to terminal prognosis data or an ongoing care or management phase in case of a chronic critical illness in the patient data flow pathway and associated loss is covered by the resource-pooling system based on the received and stored payments 214, 224, 234 from risk exposure components 21 , 22, 23 by transferring a parametric recovery phase payment 2003 or an ongoing care or management phase payment 2003 from the resource-pooling system 1 to the risk exposure component 21 , 22, 23, etc. The first, second and third parametric payments can, for example, be leveled by a predefined total payment sum determined at least based on the risk-related component data 21 1 , 221 , 231 and/or the likelihood of the risk exposure for one or a plurality of the pooled risk exposure components 21 , 22, 23, etc., based on the risk-related component data 21 1 , 221 , 231 , wherein the first parametric payment is transferred up to 30% of said total payment sum, and the second parametric payment is transferred up to 50% of said total payment sum, and the third parametric payment is transferred up to the residual part given by said total payment sum minus the actual first parametric payment and the second parametric payment. Such an exemplary payment draw-down as it can be provided by the resource-pooling system 1 in the event of a triggering of a critical illness at a risk exposure component is shown in the diagram of Figure 3.

As mentioned, the triggers 31 ,32, 33 are uni- or bidirectionally connected with the predefined searchable table 7 of acute or chronic critical illnesses 71 , 72, 73, wherein the triggering 31 , 32, 33 is performed based on the acute or chronic critical illnesses 71 , 72, 73 parameters stored in the predefined searchable table 7. The predefined searchable table 7 is multidimensionally structured, e.g. as a

multidimensional hash-table. Each acute or chronic critical illnesses 71 , 72, 73, selectable in the multidimensional table has assigned to it triggerable measuring parameters according to the trigger-step to be performed by means of the resource- pooling system 1 , i.e. trigger 31 and/or trigger 32 and/or trigger 33. The stored trigger parameters of trigger 31 , 32, 33 of the predefined searchable table 7 can for example comprise the following trigger dependencies. Further, as an embodiment variant, the predefined searchable table 7 can also comprise a predefined amount for the first, second and/or third parametric payment assigned to the corresponding trigger 31 , 32, 33. The amount can be fixed for a time-period contracted with the risk-exposed component. However, in a preferred embodiment variant, the transferable parametric payments from the pooled resources by means of the resource pooling system 1 are dynamically adaptable by the system 1 , for example based on the pooled resources or based upon dynamically checked changing medical conditions or other boundary condition to the system 1 respectively to the associated and transferred risks.

Trigger 31 Trigger 32 Trigger 33 (aftercare trigger

(diagnosis trigger parameter) (treatment trigger parameter for parameter)

cancer diagnosis) Cancer in situ or skin 2000 Radiotherapy - for 5000 Follow up surgery for 5000 cancer (other than Units conditions covered Units "cancer" - excluding Units malignant melanoma) under cancer in situ surgery for conditions

- that is treated and main cancer covered under cancer in

definitions situ definition

Cancer, including 10Ό00 Radiotherapy - for 5000 Supportive/home 5000 invasive malignant Units conditions covered Units support (ADL's) - Units melanoma (excluding under cancer in situ definition to be agreed cancer in situ and other and main cancer

pre-malignant definitions

conditions)

Chemotherapy - for 10Ό00 Physiotherapy - for 1500 conditions covered Units conditions covered Units under cancer in situ under cancer in situ and and main cancer main cancer definitions definitions

Long term drugs (>6 5000 Speech therapy - for 1500 months duration) Units conditions covered Units licensed by EMA and under cancer in situ and supported by the main cancer definitions treating Oncologist as

part of going

treatment (excludes

experimental drugs) - for conditions covered

under cancer in situ

and main cancer

definitions

Table 1 : Trigger parameter stored in searchable table 7 measured in the patient data pathway related to cancer measuring parameters. As seen in table 1 , the maximal transferable units under trigger 31 are in this example 12Ό00 units, under trigger 32 25Ό00

units and under trigger 33 13Ό00 units

Trigger 31 Trigger 32 Trigger 33 (aftercare trigger (diagnosis trigger parameter) (treatment trigger parameter for parameter)

coronary artery disease

diagnosis)

Heart Attack diagnosis 10Ό00 Medical management 3000 Continuing symptoms 5000 - based for example on Units only (after Ml Units needing further PCI Units ABI (Association of (Myocardial Infarction)

British Insurers) definition or AMI (Acute

Myocardial Infarction)

diagnosis)

Percutaneous 5000 Heart failure needing 10Ό00 Coronary Intervention Units implantable defibrillator. Units (PCI) - 1 coronary

artery (after Ml

diagnosis)

Percutaneous 8000

Coronary Intervention Units

(PCI) - 1 coronary

artery (after Ml

diagnosis)

Exclude 2 stents to the same coronary artery - they are covered by

the 5000 unit payment

transfer

Both procedures to be

completed within a

period of x days/weeks

- and after Ml

diagnosis)

CABG (Coronary 9000

Artery Bypass Grafting) Units

- before or after Ml

diagnosis

Table 2: Trigger parameter stored in searchable table 7 measured in the patient data pathway related to coronary artery disease measuring parameters (including heart attack). As seen in table 2, the maximal transferable units under trigger 31 are in this example l O'OOO units, under trigger 32 25Ό00 units and under trigger 33 15Ό00 units

Table 3: Trigger parameter stored in searchable table 7 measured in the patient data pathway related to stroke measuring parameters. As seen from table 3, the maximal transferable units under trigger 31 are in this example l O'OOO units, under trigger 32 l O'OOO units and under trigger 33 30Ό00 units Trigger 31 Trigger 32 Trigger 33 (On-going care (diagnosis trigger parameter) (On-going care trigger management trigger parameter) parameter for dementia)

Diagnosis of dementia 10Ό00 Psychiatric or old-age 10000 Permanent cognitive or 10000 by Consultant Units in-patient care: Acute Units motor impairment Units Neurologist, in-patient admission as requiring continuous

Gerontologist, or a result of deterioration supervision of another

Neuropsychologist; with in dementia status, person

confirmed impairment resulting in behaviours

of cognitive function that challenge and

require urgent

treatment.

Permanent cognitive or 20Ό00 motor impairment Units requiring constant

supervision of another person

Table 4: Trigger parameter stored in searchable table 7 measured in the patient data pathway related to dementia measuring parameters. As seen from table 4, the maximal transferable units under trigger 31 are in this example l O'OOO units, under trigger 32 l O'OOO units and under trigger 33 30Ό00 units. The deterioration can be measured in MMSE scores

(Mini-Mental-Status-Examination or Mini-Mental-Status-Test). On average, persons with

Alzheimer's disease who are not receiving treatment lose two to four MMSE points each year, cf. h††p://www.alzheimers.org.uk/si†e/scrip†s/documen†s_info.php?documen†ID=121 .

Table 5: Trigger parameter stored in searchable table 7 measured in the patient data pathway related to hip fracture measuring parameters. As seen from table 5, the maximal transferable units under trigger 31 are in this example l O'OOO units, under trigger 32 and 33 no units are transferred by means of the system 1. Table 5 is an example, where not all triggers are used, i.e. trigger 31 is the first and final trigger after triggering hip fracture measuring parameters in the patient data pathway (no on-going triggers 32 and/or 33). In the example

of hip fracture, risk exposure persons having age 50+ ~ 25% die within 12/12. As a further technical variant, the critical illness triggers 31 , 32, 33 comprise multi-dimensional trigger channels. Each of said trigger-flags is assigned to a first dimension trigger channel comprising a first trigger-level triggering 31 on occurrence parameter 1001 of the acute or chronic critical illness 71 , 72, 73, a second trigger-level triggering 32 on acute or first treatment phase parameter 1002, and a third trigger-level triggering 33 on recovery phase or ongoing care/management parameter 1003 linked to or associated with terminal prognosis data; and each of said trigger-flags is assigned to at least a second or higher dimension trigger channel and comprises additional trigger-stages based on the first, second and/or third trigger-levels of the first dimension trigger channel. The critical illness trigger 31 , 32, 33 can e.g. comprise multi-dimensional trigger channels, wherein each of said trigger-flags is assigned to a first dimension of a trigger channel comprising a first trigger-level triggering 31 on occurrence parameter 1001 of the critical illness 71 , 72, 73, a second trigger-level triggering 32 on acute treatment phase parameter 1002, and a third trigger-level triggering 33 on recovery phase parameter 1003 linked to terminal prognosis data, and each of said trigger-flags is assigned to a second dimension of a trigger channel comprising a first trigger-level triggering 31 on a first stage of progression-measuring parameters of the occurrence 1001 with regard to critical illness 71 , 72, 73, and one or more higher trigger-levels triggering 32, 33 in higher stages of progression-measuring parameters of the occurred critical illness 71 , 72, 73.

In addition, the resource-pooling system 1 can be realized such that it transfers critical illness data in the patient data flow pathway 213, 223, 233 of the related risk exposure component 21 , 22, 23, etc., after triggering the occurrence of a critical illness 71 , 72, 73, to an automated employee assistance system (EAP: Employee Assistance Program) providing automated support to the risk exposure component 21 , 22, 23, etc. Analogously, by triggering the occurrence of an acute or chronic critical illness 71 , 72, 73 by means of the critical illness trigger 31 by the core engine 3, critical illness data in the patient data flow pathway 213, 223, 233 of the related risk exposure component 21 , 22, 23, etc. can be transferred to an alert system of an Citizens Advice Bureau (CAB) to activate automated or at least semi-automated CAB actions.

Finally, in a further specified embodied variant, an independent verification critical illness trigger of the resource-pooling system 1 can be activated in the event of a triggering of the occurrence 1001 of indicators for critical illness 71 , 72, 73 in the patient data flow pathway 213, 223, 233 of a risk exposure component 21 , 22, 23, etc. by means of the critical illness trigger 31 , and wherein the independent verification critical illness trigger additionally is triggering with regard to the occurrence 1001 indicators for critical illness 71 , 72, 73 in an alternative patient data flow pathway 215, 225, 235 with independent measuring parameters from the primary patient data flow pathway 213, 223, 233 to verify the occurrence 1001 of the critical illness 71 , 72, 73 at the risk exposure component 21 , 22, 23, etc. As a variant, the parametric draw-down or predefined transfer of payments is only assigned to the corresponding trigger-flag, if the occurrence 1001 of the critical illness 71 , 72, 73 at the risk exposure component 21 , 22, 23, etc. is verified by the independent verification critical illness trigger.

Claims

1 . An event-driven critical illness insurance system based on a resource- pooling system (1 ) for risk sharing of critical illness risks associated with elderly persons by providing a dynamic self-sufficient risk protection for a variable number risk exposure components (21 , 22, 23, ...) by means of the resource-pooling system (1 ), wherein the risk exposure components (21 , 22, 23, ...) are connected to the resource-pooling system (1 ) by means of a plurality of payment-receiving modules (4) configured to receive and store (6) payments (214, 224, 234) from the risk exposure components (21 , 22, 23, ...) for the pooling of their risks and resources, and wherein the resource-pooling system (1 ) comprises an event-driven core engine (3) comprising critical illness triggers (31 , 32, 33) triggering in a patient dataflow pathway (213, 223, 233) to provide risk protection for a specific risk exposure component (21 , 22, 23, ...) based on received and stored payments (214, 224, 234) of the risk exposure components (21 , 22, 23, ...), characterized in that the resource-pooling system (1 ) comprises a filter-module for capturing age-related parameters of risk exposure components (21 , 22, 23, ...) and for filtering risk exposure components (21 , 22, 23, ...) associated with an age-related parameter greater than a predefined age-threshold value by means of the predefined age-threshold value, in that the resource-pooling system (1 ) comprises a predefined searchable table (7) of acute and/or chronic critical illnesses (71 , 72, 73) parameters indicating the occurrence of dementia and/or heart attack and/or cancer and/or a stroke and/or coronary artery by-pass surgery, Alzheimer's disease and/or blindness and/or deafness and/or kidney failure and/or major organ transplant and/or multiple sclerosis and/or HIV/AIDS contracted by blood transfusion or during an operation and/or Parkinson's disease and/or paralysis of limb and/or terminal illness in the patient dataflow pathway (213, 223, 233), in that the total risk (50) of the pooled risk exposure components (21 , 22, 23, ...) comprises a critical illness risk contribution (51 1 , 521 , 531 ) of each pooled risk exposure components (21 , 22, 23,...) associated to risk exposure in relation to a diagnosis of an acute or chronic critical illness, wherein the acute or chronic critical illness (71 , 72, 73) is comprised in a predefined searchable table (7) of critical illnesses (71 , 72, 73) and wherein critical illness losses occur as a consequence to the first diagnosis of risk exposure components (21 , 22, 23, ...) with one of the searchable critical illnesses, in that in case of a triggering of an occurrence of an acute or chronic critical illness (71 , 72, 73) in the patient data flow pathway (213, 223, 233) of a risk exposure component (21 , 22, 23), a corresponding trigger-flag is set by means of the resource-pooling system (1 ) and a parametric transfer of payments is assigned to this corresponding trigger-flag, wherein a loss associated with the acute or chronic critical illness (71 , 72, 73) is distinctly covered by the resource pooling system (1 ) based on the respective trigger-flag and based on the received and stored payment parameters (214, 224, 234) from risk exposure components (21 , 22, 23) by the parametric transfer from the resource-pooling system (1 ) to the risk exposure component (21 , 22, 23, ...), and in that a first parametric payment (21 1 ) is transferred by triggering (31 ) the occurrence (1001 ) of the acute or chronic critical illness (71 , 72, 73), a second parametric payment (212) is transferred, in case of an acute critical illness (71 , 72, 73), by a triggering (32) of an acute treatment phase (1002) of the acute critical illness (71 , 72, 73) or, in case of a chronic critical illness (71 , 72, 73), by triggering (32) of a first treatment phase (1002) of the chronic critical illness (71 , 72, 73), and a third parametric payment (213) is transferred, in the case of an acute critical illness (71 , 72, 73), by a triggering (33) of an aftercare phase (1003) linked to terminal prognosis data of the acute critical illness (71 , 72, 73) or, in case of a chronic critical illness (71 , 72, 73), by a triggering (33) an ongoing care or management phase of the chronic critical illness (71 , 72, 73).

2. The system (1 ) according to claim 1 , wherein the critical illness triggers (31 ,

32, 33) comprise a trigger (31 ) for triggering the occurrence of measuring parameters indicating dementia based on measuring parameters associated with the permanent clinical loss of the ability to remember and/or reason and/or perceive, understand, express and give effect to ideas in the patient dataflow pathway (213, 223, 233).

3. The system (1 ) according to claim 2, wherein the triggering measuring parameters indicating dementia comprise physical parameters and/or psychological parameters and/or biochemical parameters and/or cognitive factors based on adrenal exhaustion factors and/or food and chemical reactions factors and/or nutritional deficiencies factors and/or stress factors and/or depression factors, or denial factors, indicating confirmed impairment of cognitive functions.

4. The system (1 ) according to one of the claims 1 to 3, wherein the critical illness triggers triggering (32) the first treatment phase (1002) of the chronic critical illness (71 , 72, 73) comprise first treatment phase parame†er(1002) indicating psychiatric or old-age in-patient care associated with the risk exposure component (21 , 22, 23, ...) comprising acute in-patient admission parameters as a result of deterioration in dementia status requiring for urgent treatment.

5. The system (1 ) according to one of the claims 1 to 4, wherein the critical illness triggers (31 ,32,33) triggering an ongoing care or management phase of the chronic critical illness (71 , 72, 73) comprise ongoing care or management phase parameters indicating permanent cognitive and/or motor impairment requiring continuous supervision of another person and/or ongoing care or management phase parameters indicating permanent cognitive and/or motor impairment requiring constant supervision of another person.

6. The system (1 ) according to one of the claims 1 to 5, wherein the critical illness triggers (31 , 32, 33) comprise a trigger (31 ) for triggering the occurrence of measuring parameters indicating stroke based on measuring parameters associated with the possibly permanent cognitive or motor impairment and/or indicating the time of an acute stroke episode in the patient dataflow pathway (213, 223, 233).

7. The system (1 ) according to one of the claims 1 to 6, wherein the critical illness triggers triggering (32) the first treatment phase (1002) of the chronic critical illness (71 , 72, 73) comprise first treatment phase parame†er(1002) indicating a measured time interval of the risk exposure component (21 , 22, 23, ...) spend in hospital due to the triggered stroke.

8. The system (1 ) according to one of the claims 1 to 7, wherein the critical illness triggers (31 ,32,33) triggering an ongoing care or management phase of the chronic critical illness (71 , 72, 73) comprise ongoing care or management phase parameters indicating permanent impairments of the cognitive functions and/or permanent cognitive and/or motor impairment requiring continuous supervision of another person and/or permanent cognitive and/or motor impairment requiring constant supervision of another person.

9. The system (1 ) according to one of the claims 1 to 8, wherein the critical illness triggers (31 , 32, 33) further comprise a trigger (31 ) for triggering measuring parameters indicating alcohol and/or drug abuse in the patient dataflow pathway (213, 223, 233), wherein upon triggering measuring parameters indicating alcohol and/or drug abuse the related risk exposure component (21 , 22, 23, ...) is rejected from pooling of the risk and resources by means of the resource-pooling system (1 ).

10. The system (1 ) according to one of the claims 1 to 7, wherein the critical illness triggers of the acute critical illness (71 , 72, 73) triggering (32) acute treatment phase parameters (1002) indicating surgery and/or chemotherapy and/or radiotherapy and/or reconstructive surgery in the patient dataflow pathway (213, 223, 233).

1 1 . The system (1 ) according to one of the claims 1 to 10, wherein the first and second and third transferred portion of payment are generatable to sum up to the allocated total parametric payment.

12. The system (1 ) according to one of the claims 1 to 1 1 , wherein the resource-pooling system (1 ) comprises an assembly module (5) to process risk-related component data (21 1 , 221 , 231 ) and to provide the likelihood (212, 222, 232) of said risk exposure for one or a plurality of the pooled risk exposure components (21 , 22, 23, ...) based on the risk-related component data (21 1 , and wherein the receiving and preconditioned storage (6) of payments (214, 224, 234) from risk exposure components (21 , 22, 23, ...) for the pooling of their risks is dynamically determinable based on total risk (50) and/or the likelihood of the risk exposure of the pooled risk exposure

components (21 , 22, 23, ...).

13. The system (1 ) according to one of the claims 1 to 12, wherein the number of pooled risk exposure components (21 , 22, 23, ...) is dynamically adaptable by means of the resource-pooling system (1 ) to a range where non-covariant occurring risks covered by the resource-pooling system (1 ) affect only a relatively small proportion of the totally pooled risk exposure components (21 , 22, 23, ...) at a given time.

14. The system (1 ) according to one of the claims 1 to 13, wherein the critical illness triggers (31 , 32, 33) are dynamically adapted by means of an operating module (30) based on time-correlated incidence data for a critical illness conditions and/or diagnosis or treatment conditions indicating improvements in diagnosis or treatment.

15. The system (1 ) according to one of the claims 1 to 14, wherein the allocated total parametric payment is determined at least based on the risk-related components data (21 1 , 221 , 231 ) and/or on the likelihood of the risk exposure for one or a plurality of the pooled risk exposure components (21 , 22, 23, ...) based on the risk related components data 21 1 , 221 , 231 and wherein the first portion is transferred up to 30% of said total payments sum and the second portion is transferred up to 50% of said total payments sum and the third portion is transferred up to the residual part given by said total payment sum minus the actual portion and the second portion.

16. The system (1 ) according to one of the claims 1 to 15, wherein the resource-pooling system (1 ) comprises a monitoring module (8) requesting a periodic payment transfer from the risk exposure components (21 , 22, 23, ...) to the resource- pooling system (1 ) by means of a plurality of payment receiving modules (2), wherein the risk protection for the risk exposure components (21 , 22, 23, ...) is interrupted by the monitoring module (8) when the periodic transfer is no longer detectable by means of the monitoring module (8).

17. The system (1 ) according to claim 16, wherein the request for periodic payment transfer is interrupted or waived by the monitoring module (8) when the occurrence (1001 ) of indicators for critical illness (71 ,72,73) is triggered (31 ) in a patient data flow pathway of a risk exposure component (21 , 22, 23, ...).

18. The system ( 1 ) according to one of the claims 1 to 17, wherein the resource-pooling system (1 ) comprises an independent verification critical illness trigger, which is activated in the event of a triggering of the occurrence (1001 ) of indicators for critical illness in the patient dataflow pathway (213, 223, 233) of a risk exposure component (21 , 22, 23, ...) by means of the critical illness trigger (31 ) and which additionally, is a triggering for the occurrence (1001 ) of indicators for critical illness (71 , 72, 73) in an alternative patient dataflow pathway (215, 225, 235) with independent measuring parameters from the primary patient data flow pathway (213, 223, 233) to verify the occurrence of the critical illness (71 ,72,73) at the risk exposure component (21 , 22, 23, ...).

19. The system (1 ) according to claim 17, wherein the parametric transfer of payments is only assigned to the corresponding trigger-flag, if the occurrence (1001 ) of the critical illness (71 ,72,73) at the risk exposure component (21 , 22, 23, ...) is verified by the independent verification critical illness trigger.

20. The system (1 ) according to one of the claims 1 to 19, wherein critical illness data of the patient dataflow pathway (213, 223, 233) of the risk exposure component (21 , 22, 23, ...) are transferred to an automated employee assistance system (EAP: Employee Assistance Program) providing automated support to the risk exposure component (21 , 22, 23, ...).

21 . The system (1 ) according to one of the claims 1 to 20, wherein the patient dataflow pathway (213, 223, 233) is monitored by the resource-pooling system (1 ) by capturing patient measuring parameter of the patient dataflow pathway (213, 223, 233) at least periodically and/or within predefined time frames.

22. The system (1 ) according to one of the claims 1 to 21 , wherein the patient dataflow pathway (213, 223, 233) is dynamically monitored by the resource- pooling system (1 ) by a triggering of patient measuring parameters of the patient dataflow pathway (213, 223, 233) transmitted from associated measuring systems.

23. An event-driven critical illness insurance system based on a resource- pooling system (1 ) for risk sharing of critical illness risks associated with elderly persons by providing a dynamic self-sufficient risk protection for a variable number risk exposure components (21 , 22, 23, ...) by means of the resource-pooling system (1 ), wherein the risk exposure components (21 , 22, 23, ...) are connected to the resource-pooling system (1 ) by means of a plurality of payment-receiving modules (4) configured to receive and store (6) payments (214, 224, 234) from the risk exposure components (21 , 22, 23, ...) for the pooling of their risks and resources, and wherein the resource-pooling system (1 ) comprises an event-driven core engine (3) comprising critical illness triggers (31 , 32, 33) triggering in a patient dataflow pathway (213, 223, 233) to provide risk protection for a specific risk exposure component (21 , 22, 23, ...) based on received and stored payments (214, 224, 234) of the risk exposure components (21 , 22, 23, ...), characterized in that the resource-pooling system (1 ) comprises a filter-module for capturing age-related parameters of risk exposure components (21 , 22, 23, ...) and for filtering risk exposure components (21 , 22, 23, ...) associated with an age-related parameter greater than a predefined age-threshold value by means of the predefined age-threshold value, in that the resource-pooling system (1 ) comprises a predefined searchable table (7) of acute and/or chronic critical illnesses (71 , 72, 73) parameters indicating the occurrence of dementia and/or heart attack and/or cancer and/or a stroke and/or coronary artery by-pass surgery, Alzheimer's disease and/or blindness and/or deafness and/or kidney failure and/or major organ transplant and/or multiple sclerosis and/or HIV/AIDS contracted by blood transfusion or during an operation and/or Parkinson's disease and/or paralysis of limb and/or terminal illness in the patient dataflow pathway (213, 223, 233), in that the total risk (50) of the pooled risk exposure components (21 , 22, 23, ...) comprises a first risk contribution (51 1 , 521 , 531 ) of each pooled risk exposure components (21 , 22, 23,...) associated to risk exposure in relation to a first diagnosis of a critical illness, wherein the critical illness (71 , 72, 73) is comprised in a predefined searchable table (7) of critical illnesses (71 , 72, 73) and wherein critical illness losses occur as a consequence to the first diagnosis of risk exposure components (21 , 22, 23, ...) with one of the searchable critical illnesses, in that the total risk (50) of the pooled risk exposure components (21 , 22, 23, ...) comprises at least a second and/or successional risk contributions (512/522/..., 513/521 /...) associated to risk exposure in relation to a second and/or successional critical illnesses, wherein the critical illnesses (71 , 72, 73) are comprised in the predefined searchable table (7) of critical illness parameters (71 , 72, 73), and wherein a critical illness loss losses occurs as a consequence†o the second and/or successional diagnosis of risk exposure components (21 , 22, 23, ...) with one of the searchable critical illnesses, in that in case of a triggering of an occurrence of a first or second or successional critical illness (71 , 72, 73) in the patient data flow pathway (213, 223, 233) of a risk exposure component (21 , 22, 23), a corresponding trigger-flag is set by means of the resource-pooling system (1 ) and a parametric draw-down transfer of payments is assigned to this corresponding trigger-flag, wherein a loss associated with the first or second or successional critical illness(es) (71 , 72, 73) is distinctly covered by the resource pooling system (1 ) based on the respective trigger-flag and based on the received and stored payment parameters (214, 224, 234) from risk exposure components (21 , 22, 23) by the parametric draw-down transfer from the resource-pooling system (1 ) to the risk exposure component (21 , 22, 23, ...), and in that a first parametric payment (21 1 ) is transferred by triggering (31 ) the occurrence (1001 ) of the acute or chronic critical illness (71 , 72, 73), a second parametric payment (212) is transferred, in case of an acute critical illness (71 , 72, 73), by a triggering (32) of an acute treatment phase (1002) of the acute critical illness (71 , 72, 73) or, in case of a chronic critical illness (71 , 72, 73), by triggering (32) of a first treatment phase (1002) of the chronic critical illness (71 , 72, 73), and a third parametric payment (213) is transferred, in the case of an acute critical illness (71 , 72, 73), by a triggering (33) of an aftercare phase (1003) linked to terminal prognosis data of the acute critical illness (71 , 72, 73) or, in case of a chronic critical illness (71 , 72, 73), by a triggering (33) an ongoing care or management phase of the chronic critical illness (71 , 72, 73).

24. The system (1 ) according to one of the claims 1 to 23, wherein the system comprises more than said three trigger stages (31 , 32, 33), the first three trigger stages (31 , 32, 33) associated with said trigger parameters in the patient dataflow pathway (213, 223, 233) and associated with said first, second and third draw-down payment (21 1 , 212, 213), and wherein the subsequent trigger stages are associated with measurable trigger parameters and gradated parametric payments, indicating further gradation in the patient dataflow pathway (213, 223, 233) .

25. An method for risk sharing of critical illness risks associated with elderly persons by providing a dynamic self-sufficient risk protection for a variable number of risk exposure components (21 , 22, 23, ...) by means of the resource-pooling system (1 ), wherein the risk exposure components (21 , 22, 23, ...) are connected to the resource- pooling system (1 ) by means of a plurality of payment receiving modules (4) and payment data (214, 224, 234) are received and stored by means of a payment data store (6) from the risk exposure components (21 , 22, 23, ...) for the pooling of their risks, and wherein the resource-pooling system (1 ) triggers a patient dataflow pathway (213, 223, 233) by means of critical illness triggers (31 , 32, 33) of an event-driven core engine (3) in order to provide risk protection for a specific risk exposure component (21 , 22, 23, ...) based on received and stored payments (214, 224, 234) from the risk exposure components (21 , 22, 23, ...), characterized in that risk exposure components (21 , 22, 23, ...) associated with an age- related parameter greater than a predefined age-threshold value are filtered and captured by means of a filter-module and the predefined age-threshold value, in that acute or chronic critical illnesses (71 , 72, 73) parameters indicating the occurrence of dementia and/or heart attack and/or cancer and/or a stroke and/or coronary artery by-pass surgery, Alzheimer's disease and/or blindness and/or deafness and/or kidney failure and/or major organ transplant and/or multiple sclerosis and/or HIV/AIDS contracted by blood transfusion or during an operation and/or Parkinson's disease and/or paralysis of limb and/or terminal illness in the patient dataflow pathway (213, 223, 233), are stored by means of a predefined searchable table (7), in that the total risk (50) of the pooled risk exposure components (21 , 22, 23, ...) comprises a critical illness risk contribution (51 1 , 521 , 531 ) of each pooled risk exposure components (21 , 22, 23,...) associated to risk exposure in relation to a diagnosis of an acute or chronic critical illness, wherein the acute or chronic critical illness (71 , 72, 73) is comprised in a predefined searchable table (7) of critical illnesses (71 , 72, 73) and wherein critical illness losses occur as a consequence to the first diagnosis of risk exposure components (21 , 22, 23, ...) with one of the searchable critical illnesses, in that in case of a triggering of an occurrence of an acute or chronic critical illness (71 , 72, 73) in the patient data flow pathway (213, 223, 233) of a risk exposure component (21 , 22, 23), a corresponding trigger-flag is set by means of the resource-pooling system (1 ) and a parametric transfer of payments is assigned to this corresponding trigger-flag, wherein a loss associated with the acute or chronic critical illness (71 , 72, 73) is distinctly covered by the resource pooling system (1 ) based on the respective trigger-flag and based on the received and stored payment parameters (214, 224, 234) from risk exposure components (21 , 22, 23) by the parametric transfer from the resource-pooling system (1 ) to the risk exposure component (21 , 22, 23, ...), and in that a first parametric payment (21 1 ) is transferred by triggering (31 ) the occurrence (1001 ) of the acute or chronic critical illness (71 , 72, 73), a second parametric payment (212) is transferred, in case of an acute critical illness (71 , 72, 73), by a triggering (32) of an acute treatment phase (1002) of the acute critical illness (71 , 72, 73) or, in case of a chronic critical illness (71 , 72, 73), by triggering (32) of a first treatment phase (1002) of the chronic critical illness (71 , 72, 73), and a third parametric payment (213) is transferred, in the case of an acute critical illness (71 , 72, 73), by a triggering (33) of an aftercare phase (1003) linked to terminal prognosis data of the acute critical illness (71 , 72, 73) or, in case of a chronic critical illness (71 , 72, 73), by a triggering (33) an ongoing care or management phase of the chronic critical illness (71 , 72, 73).

26. The method according to claim 25, wherein the occurrence of measuring parameters indicating dementia based on measuring parameters associated with the permanent clinical loss of the ability to remember and/or reason and/or perceive, understand, express and give effect to ideas in the patient dataflow pathway (213, 223, 233) are triggered by means of a trigger (31 ) of the critical illness triggers (31 , 32, 33).

27. The method according to claim 26, wherein the triggering measuring parameters indicating dementia comprise physical parameters and/or psychological parameters and/or biochemical parameters and/or cognitive factors based on adrenal exhaustion factors and/or food and chemical reactions factors and/or nutritional deficiencies factors and/or stress factors and/or depression factors, or denial factors, indicating confirmed impairment of cognitive functions.

28. The method according to one of the claims 25 to 27, wherein the critical illness triggers triggering (32) the first treatment phase (1002) of the chronic critical illness (71 , 72, 73) comprise first treatment phase parame†er(1002) indicating psychiatric or old-age in-patient care associated with the risk exposure component (21 , 22, 23, ...) comprising acute in-patient admission parameters as a result of deterioration in dementia status requiring for urgent treatment.

29. The method according to one of the claims 25 to 28, wherein the critical illness triggers (31 ,32,33) triggering an ongoing care or management phase of the chronic critical illness (71 , 72, 73) comprise ongoing care or management phase parameters indicating permanent cognitive and/or motor impairment requiring continuous supervision of another person and/or ongoing care or management phase parameters indicating permanent cognitive and/or motor impairment requiring constant supervision of another person.

30. The method according to one of the claims 25 to 29, wherein the critical illness triggers (31 , 32, 33) comprise a trigger (31 ) for triggering the occurrence of measuring parameters indicating stroke based on measuring parameters associated with the possibly permanent cognitive or motor impairment and/or indicating the time of an acute stroke episode in the patient dataflow pathway (213, 223, 233).

31 . The method according to one of the claims 25 to 30, wherein the critical illness triggers triggering (32) the first treatment phase (1002) of the chronic critical illness (71 , 72, 73) comprise first treatment phase parame†er(1002) indicating a measured time interval of the risk exposure component (21 , 22, 23, ...) spend in hospital due to the triggered stroke.

32. The method according to one of the claims 25 to 31 , wherein the critical illness triggers (31 ,32,33) triggering an ongoing care or management phase of the chronic critical illness (71 , 72, 73) comprise ongoing care or management phase parameters indicating permanent impairments of the cognitive functions and/or permanent cognitive and/or motor impairment requiring continuous supervision of another person and/or permanent cognitive and/or motor impairment requiring constant supervision of another person.

33. The method according to one of the claims 25 to 32, wherein the critical illness triggers (31 , 32, 33) further comprise a trigger (31 ) for triggering measuring parameters indicating alcohol and/or drug abuse in the patient dataflow pathway (213, 223, 233), wherein upon triggering measuring parameters indicating alcohol and/or drug abuse the related risk exposure component (21 , 22, 23, ...) is rejected from pooling of the risk and resources by means of the resource-pooling system (1 ).

34. The method according to one of the claims 25 to 33, wherein the critical illness triggers of the acute critical illness (71 , 72, 73) triggering (32) acute treatment phase parameters (1002) indicating surgery and/or chemotherapy and/or radiotherapy and/or reconstructive surgery in the patient dataflow pathway (213, 223, 233).

35. The method according to one of the claims 25 to 34, wherein the first and second and third transferred portion of payment are generatable to sum up to the allocated total parametric payment.

36. The method according to one of the claims 25 to 35, wherein by means of an assembly module (5) risk-related component data (21 1 , 221 , 231 ) are processed and the likelihood (212, 222, 232) of said risk exposure for one or a plurality of the pooled risk exposure components (21 , 22, 23, ...) is provided based on the risk-related component data (21 1 , and wherein the receiving and preconditioned storage (6) of payments (214, 224, 234) from risk exposure components (21 , 22, 23, ...) for the pooling of their risks is dynamically is determined based on total risk (50) and/or the likelihood of the risk exposure of the pooled risk exposure components (21 , 22, 23, ...).

37. The method according to one of the claims 25 to 36, wherein the number of pooled risk exposure components (21 , 22, 23, ...) is dynamically adapted by means of the resource-pooling system (1 ) to a range where non-covariant occurring risks covered by the resource-pooling system (1 ) affect only a relatively small proportion of the totally pooled risk exposure components (21 , 22, 23, ...) at a given time.

38. The method according to one of the claims 25 to 37, wherein the critical illness triggers (31 , 32, 33) are dynamically adapted by means of an operating module (30) based on time-correlated incidence data for a critical illness conditions and/or diagnosis or treatment conditions indicating improvements in diagnosis or treatment.

39. The method according to one of the claims 25 to 38, wherein the allocated total parametric payment is determined at least based on the risk-related components data (21 1 , 221 , 231 ) and/or on the likelihood of the risk exposure for one or a plurality of the pooled risk exposure components (21 , 22, 23, ...) based on the risk related components data 21 1 , 221 , 231 and wherein the first portion is transferred up to 30% of said total payments sum and the second portion is transferred up to 50% of said total payments sum and the third portion is transferred up to the residual part given by said total payment sum minus the actual portion and the second portion.

40. The method according to one of the claims 25 to 39, wherein by means of a monitoring module (8) a periodic payment transfer is requested from the risk exposure components (21 , 22, 23, ...) to the resource-pooling system (1 ) by means of a plurality of payment receiving modules (2), wherein the risk protection for the risk exposure components (21 , 22, 23, ...) is interrupted by the monitoring module (8) when the periodic transfer is no longer detectable by means of the monitoring module (8).

41 . The method according to claim 40, wherein the request for periodic payment transfer is interrupted or waived by the monitoring module (8) when the occurrence (1001 ) of indicators for critical illness (71 ,72,73) is triggered (31 ) in a patient data flow pathway of a risk exposure component (21 , 22, 23, ...).

42. The method according to one of the claims 25 to 41 , wherein an independent verification critical illness trigger is activated in the event of a triggering of the occurrence (1001 ) of indicators for critical illness in the patient dataflow pathway (213, 223, 233) of a risk exposure component (21 , 22, 23, ...) by means of the critical illness trigger (31 ) and which additionally, is a triggering for the occurrence (1001 ) of indicators for critical illness (71 , 72, 73) in an alternative patient dataflow pathway (215, 225, 235) with independent measuring parameters from the primary patient data flow pathway (213, 223, 233) to verify the occurrence of the critical illness (71 ,72,73) at the risk exposure component (21 , 22, 23, ...).

43. The method according to claim 42, wherein the parametric transfer of payments is only assigned to the corresponding trigger-flag, if the occurrence (1001 ) of the critical illness (71 ,72,73) at the risk exposure component (21 , 22, 23, ...) is verified by the independent verification critical illness trigger.

44. The method according to one of the claims 25 to 43, wherein critical illness data of the patient dataflow pathway (213, 223, 233) of the risk exposure component (21 , 22, 23, ...) are transferred to an automated employee assistance system (EAP: Employee Assistance Program) providing automated support to the risk exposure component (21 , 22, 23, ...).

45. The method according to one of the claims 25 to 44, wherein the patient dataflow pathway (213, 223, 233) is monitored by the resource-pooling system (1 ) by capturing patient measuring parameter of the patient dataflow pathway (213, 223, 233) at least periodically and/or within predefined time frames.

46. The method according to one of the claims 25 to 45, wherein the patient dataflow pathway (213, 223, 233) is dynamically monitored by the resource- pooling system (1 ) by a triggering of patient measuring parameters of the patient dataflow pathway (213, 223, 233) transmitted from associated measuring systems.

47. An event-driven critical illness insurance method based on a resource- pooling system (1 ) for risk sharing of critical illness risks associated with elderly persons by providing a dynamic self-sufficient risk protection for a variable number risk exposure components (21 , 22, 23, ...) by means of the resource-pooling system (1 ), wherein the risk exposure components (21 , 22, 23, ...) are connected to the resource-pooling system (1 ) by means of a plurality of payment-receiving modules (4) configured to receive and store (6) payments (214, 224, 234) from the risk exposure components (21 , 22, 23, ...) for the pooling of their risks and resources, and wherein the resource-pooling system (1 ) comprises an event-driven core engine (3) comprising critical illness triggers (31 , 32, 33) triggering in a patient dataflow pathway (213, 223, 233) to provide risk protection for a specific risk exposure component (21 , 22, 23, ...) based on received and stored payments (214, 224, 234) of the risk exposure components (21 , 22, 23, ...), characterized in that by means of a filter-module age-related parameters of risk exposure components (21 , 22, 23, ...) are captured and risk exposure components (21 , 22, 23, ...) associated with an age-related parameter greater than a predefined age-threshold value by means of the predefined age-threshold value are filtered, in that the resource-pooling system (1 ) comprises a predefined searchable table (7) of acute and/or chronic critical illnesses (71 , 72, 73) parameters indicating the occurrence of dementia and/or heart attack and/or cancer and/or a stroke and/or coronary artery by-pass surgery, Alzheimer's disease and/or blindness and/or deafness and/or kidney failure and/or major organ transplant and/or multiple sclerosis and/or HIV/AIDS contracted by blood transfusion or during an operation and/or Parkinson's disease and/or paralysis of limb and/or terminal illness in the patient dataflow pathway (213, 223, 233), in that the total risk (50) of the pooled risk exposure components (21 , 22, 23, ...) comprises a first risk contribution (51 1 , 521 , 531 ) of each pooled risk exposure components (21 , 22, 23,...) associated to risk exposure in relation to a first diagnosis of a critical illness, wherein the critical illness (71 , 72, 73) is comprised in a predefined searchable table (7) of critical illnesses (71 , 72, 73) and wherein critical illness losses occur as a consequence to the first diagnosis of risk exposure components (21 , 22, 23, ...) with one of the searchable critical illnesses, in that the total risk (50) of the pooled risk exposure components (21 , 22, 23,

...) comprises at least a second and/or successional risk contributions (512/522/..., 513/521 /...) associated to risk exposure in relation to a second and/or successional critical illnesses, wherein the critical illnesses (71 , 72, 73) are comprised in the predefined searchable table (7) of critical illness parameters (71 , 72, 73), and wherein a critical illness loss losses occurs as a consequence to the second and/or successional diagnosis of risk exposure components (21 , 22, 23, ...) with one of the searchable critical illnesses, in that in case of a triggering of an occurrence of a first or second or successional critical illness (71 , 72, 73) in the patient data flow pathway (213, 223, 233) of a risk exposure component (21 , 22, 23), a corresponding trigger-flag is set by means of the resource-pooling system (1 ) and a parametric draw-down transfer of payments is assigned to this corresponding trigger-flag, wherein a loss associated with the first or second or successional critical illness(es) (71 , 72, 73) is distinctly covered by the resource pooling system (1 ) based on the respective trigger-flag and based on the received and stored payment parameters (214, 224, 234) from risk exposure components (21 , 22, 23) by the parametric draw-down transfer from the resource-pooling system (1 ) to the risk exposure component (21 , 22, 23, ...), and in that a first parametric payment (21 1 ) is transferred by triggering (31 ) the occurrence (1001 ) of the acute or chronic critical illness (71 , 72, 73), a second parametric payment (212) is transferred, in case of an acute critical illness (71 , 72, 73), by a triggering (32) of an acute treatment phase (1002) of the acute critical illness (71 , 72, 73) or, in case of a chronic critical illness (71 , 72, 73), by triggering (32) of a first treatment phase (1002) of the chronic critical illness (71 , 72, 73), and a third parametric payment (213) is transferred, in the case of an acute critical illness (71 , 72, 73), by a triggering (33) of an aftercare phase (1003) linked to terminal prognosis data of the acute critical illness (71 , 72, 73) or, in case of a chronic critical illness (71 , 72, 73), by a triggering (33) an ongoing care or management phase of the chronic critical illness (71 , 72, 73).

48. The method according to one of the claims 1 to 47, wherein the method processes more than said three trigger stages (31 , 32, 33), the first three trigger stages (31 , 32, 33) associated with said trigger parameters in the patient dataflow pathway (213, 223, 233) and associated with said first, second and third draw-down payment (21 1 , 212, 213), and wherein the subsequent trigger stages are associated with measurable trigger parameters and gradated parametric payments indicating further gradation in the patient dataflow pathway (213, 223, 233).

References

1 Resource-pooling system / Critical illness insurance system

21 , 22, 23 Risk exposure component

21 1 , 221 , 231 Risk-related component data

212, 222, 232 Likelihood of risk exposure of the pooled risk

exposure components

213, 223, 233 Patient dataflow pathway

214, 224, 234 Stored payment parameters

215, 225, 235 Alternative patient dataflow pathway

3 Core engine

30 Operating module

31 , 32, 33 Critical illness triggers

4 Payment receiving modules

5 Assembly module

50 Total Risk

51 1 , 521 , 531 First risk contribution

512, 522, 532 Second risk contribution

513, 523, 533 Third risk contribution

51 i, 52i, 53i i-†h risk contribution

6 Payment data store

7 Trigger table with critical illness parameter

71 , 72, 73 Critical illness parameters

8 Monitoring module

1001 Diagnosis phase of the critical illness

1002 Treatment phase (surgery, chemotherapy/radiotherapy/medication)

1003 Recovery phase and/or terminal illness phase and/or aftercare phase

1004 Additional support services

2001 , 2002, 2003 Parametric payment transfers from the system 1 to the risk exposure units 21 , 22, 23