GB2534685A - Disease management system - Google Patents
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- GB2534685A GB2534685A GB1522492.6A GB201522492A GB2534685A GB 2534685 A GB2534685 A GB 2534685A GB 201522492 A GB201522492 A GB 201522492A GB 2534685 A GB2534685 A GB 2534685A
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Abstract
A disease management system comprises a patient device 12, a healthcare professional device 14 and a database 24 holding parameters relating to diseases and treatment regimes. Data is received from the devices 12, 14 and used to select a treatment regime 28 including at least one medicament and to identify relevant targets 26 to be reached during a treatment timeline 30. When milestones are reached on the timeline the tracking module 32 provides an alert, e.g. an encouraging message or suggesting an alternative regime, relating to the effectiveness of the treatment regime, which may be based on data inputted at the patient device, e.g. measured blood pressure, weight etc, or input by the healthcare professional. The available targets offered may be limited by the system to lie within safe boundaries and indicate medical benefits to the patient. The system facilitates the provision of individualised patient treatment by the provision of feedback mechanisms relating to the efficacy of a current treatment regime. The treatment regime may also comprise a dietary or exercise plan.
Description
Disease management system The present invention relates to systems and methods for the management of diseases, for example chronic diseases, such as diabetes, obesity and cancers.
The growing prevalence of chronic diseases has led to increasing pressures on healthcare systems and their budgets. In addition to the prescription of medicines the management of such diseases typically requires a combination of approaches to improve self-management behaviours in patients, including the provision of nutritional, exercise and lifestyle advice and ongoing health monitoring, target setting and care-planning. Successful management can lead to improvements in health, including a greatly reduced risk of complications.
A diagnosis of a chronic disease is typically followed by a prescription of a first line therapy together with the provision of information relating to self-management of the disease and how to identify and manage potential complications. This information may be in the form of face-to-face group education, however such education courses typically have poor attendance records. It may also be delivered through printed materials (leaflets) and/or websites providing patient information and advice, however this form of information delivery can suffer from lack of structure, static content, inability to cater for differing educational needs and low patient engagement.
Concurrently with the need to improve the quality and delivery of self-management education, prescribing decisions for medicines (and other healthcare interventions) based upon mean data from clinical studies, conducted in patient groups that may not reflect the patients that are being treated, is widely viewed as being an inadequate approach. The approach of using standardised medical interventions across a broad patient population can often lead to a substantial proportion of patients receiving sub-optimal treatment and some patients gaining no benefit at all, leading to patients taking medicines unnecessarily, suffering unwarranted side-effects, and generating unnecessary costs for the healthcare system that is paying for the medicine (or other healthcare intervention). This is reflected in increasing interest in the benefits of individualised management of disease and growing attention on the implementation of n=1 clinical trials which utilise an individual patient in a clinical study looking at the benefits or side-effect profiles of different treatment regimes on that individual specifically.
Whilst the development of specialist medicines (for example oncology drugs) is now focused upon the development of personalised therapies based upon diagnostic tools that identify specific targets that a therapy may address (for example hormone receptors in cancers) the ability to personalise therapies for chronic disease (for example in diabetes, CV risk management and long-term cancer surveillance) remains unaddressed.
There is therefore a need for systems and methods for the management of chronic disease that both facilitate patient self-management and leaming, whilst simultaneously enhancing the provision of individualised patient treatment by the provision of feedback mechanisms relating to the efficacy of a current treatment regime: a data-driven approach to personalised medicine and self-management.
According to a first aspect of the invention there is provided a system for the management of disease, the system comprising a patient interface device which is configured to receive patient-related data; a computer network which comprises a database of parameters relating to diseases and a plurality of treatment regimes, the computer network being adapted to receive data from the patient interface device; a methodology selection module which is configured to enable the selection of at least one treatment regime; a target selection module which is configured to enable the selection of a treatment target relating to at least one patient parameter; a timeline module which is configured to generate a treatment timeline; a tracking module which is configured to track the at least one patient parameter during the treatment timeline, and to provide an alert relating to the effectiveness of the at least one treatment regime when a milestone on the timeline is reached.
According to a second aspect of the invention there is provided a system for the management of disease, the system comprising: a patient interface device which is configured to receive patient-related data; a healthcare professional interface device which is configured to receive health-related data relating to the patient; a computer network which comprises a database of parameters relating to diseases and a plurality of treatment regimes, the computer network being adapted to receive data from the patient interface device and / or the healthcare professional interface device; a methodology selection module which is configured to enable the selection of at least one individualised treatment regime comprising at least one medicament, the methodology selection module configured to provide treatment regimes for selection based on an analysis of the patient-related data and / or the health-related data; a target selection module which is configured to enable the selection of a treatment target relating to at least one patient parameter; a timeline module which is configured to generate an individualised treatment timeline; a tracking module which is configured to track the or each patient parameter during the treatment timeline, 10 and to provide an alert relating to the effectiveness of the at least one treatment regime when a milestone on the timeline is reached.
The system of the invention utilises an analysis of patient data to enable the provision of options for individualised treatment regimes for selection, and the generation of individualised treatment timelines. The system also enables the provision of rapid feedback as to the effectiveness of a selected treatment regime. The system enables healthcare professionals and / or patients to transition more quickly towards an optimal treatment regime profile and encourages and enhances patient self-management and engagement.
The patient interface device may, for example, be any personal computer or portable electronic device, such as a tablet or mobile phone. The device is configured to receive data entered by the patient. This data entry may be in response to a series of prompts displayed on the patient interface device, for example at the point of first access to the system. The data entered may include smoking status, current medication, biometrics, such as weight and height, ethnicity, personal and family medical histories. The patient interface device may also be configured to receive data relating to at least one patient parameter, which may be entered by the patient during the course of a treatment regime, for example measured data, such as weight, blood pressure, HbA1c, cholesterol, (fasting) plasma glucose/blood glucose levels, peak expiratory flow rate etc. The patient interface device may display a prompt to remind the patient to submit measured data. The data may also be received automatically, for example from the patient's medical record, or from a medical device such as a home blood glucose monitor, or other home testing device, or from other systems that capture and store user data, such as health, lifestyle and medical mobile device applications.
Preferably, the system comprises a healthcare professional interface device which is configured to receive health-related data relating to a patient and wherein the computer network is adapted to receive data from the healthcare professional interface device. The inclusion of a healthcare professional interface device can help to increase patient compliance and engagement, facilitates patient safeguarding, and enables access to the health-related data relating to a patient, which is held by, for example, a medical practice.
The healthcare professional interface device may, for example, be a personal computer or a portable electronic device, such as a tablet. The device is configured to receive health-related data relating to a patient. This data may be entered manually by a healthcare professional, such as a doctor or nursing professional. This data entry may be in response to a series of prompts displayed on the healthcare professional interface device. The data may also be received automatically, for example from the patient's medical record, or from other systems that capture and store user data, such as health, lifestyle and medical mobile device applications. This data may include a patient identifier and local health provider details, gender, clinically relevant parameters, and current prescription data.
The computer network is adapted to receive data from the patient interface device and / or the healthcare professional interface device, for example using internet connections. The computer network also comprises a database of parameters relating to diseases and a plurality of treatment regimes. This database may include information, for example, on the pharmacodynamics of medicaments, preferably stratified by patient characteristics, and / or patient-related factors influencing the efficacy of medicaments or contraindications. Preferably, the plurality of treatment regimes includes treatment regimes comprising medicaments, exercise plans and dietary strategies. This database may be held, for example, on a secure server.
The system comprises a methodology selection module which is configured to enable the selection of at least one treatment regime, such as at least one medicament, an exercise plan or a dietary strategy. Preferably, the methodology selection module is configured to provide treatment regimes for selection based on an analysis of at least one of (i) the patient-related data; (ii) current clinical guidelines; (iii) information on previously tried treatment regimes. This enables the provision of treatment regimes for selection which are individualised to the clinical status and requirements of the patient, and which are tailored to achieve increased patient compliance. An analysis of previously tried treatment regimes ensures that regimes which have, for example, previously shown limited clinical benefit or poor patient compliance are not presented for selection, or are de-prioritised. The selection module displays the treatment regimes for selection on the patient interface device and / or the healthcare professional interface device. Preferably, the methodology selection module is configured to provide treatment regimes for selection based on an analysis of at least one of (i) health related data received from the healthcare professional interface device; (ii) the patient-related data; (iii) current clinical guidelines and (iv) information on previously tried treatment regimes.
The system also comprises a target selection module which is configured to enable the selection of a treatment target relating to at least one patient parameter. The target selection module enables the selection of a treatment target by the patient on the patient interface device or by a healthcare professional on the healthcare professional interface device. The treatment target values or ranges available for selection may be limited by the target selection module, for example the values or ranges available for a weight reduction target may be limited by the body mass index of the patient and the speed of appropriate, safe weight loss. The treatment targets may be displayed on the patient interface device based on clinical outcomes, such as a reduction in potential for heart attack or stroke. The target selection based on clinical outcomes can provide increased motivation to the patient to adhere to the treatment regime and increase patient compliance. The treatment target may also be automatically generated by the target selection module based on an analysis of, for example, parameters relating to the selected treatment regime and / or patient-related data and / or clinical guidelines.
The system also comprises a timeline module which is configured to generate a treatment timeline, preferably individualised by an analysis of the patient data. The treatment timeline defines a time period for the patient parameter to reach the selected target value or target range. The treatment timeline also defines one or more milestones at points along the timeline. These milestones may be set at regular intervals along the treatment timeline or may be defined by the selected treatment regime. For example, if the treatment regime is a medicament, it may be known that no change in the patient parameter is likely during an initial period of treatment. Therefore, the first milestone may be set at a time point which matches the predicted pharmacodynamic response to the medicament. Therefore, the timeline module may be configured to generate an individualised treatment timeline using an analysis comprising an assessment of the pharmacodynamic profile of the at least one medicament.
The timeline module may be configured to generate a treatment timeline based on current clinical guidelines. This enables the treatment timeline to be matched against these guidelines, for example the treatment timeline may be generated to match with local health authority or national guidelines, or guidelines developed by a healthcare or insurance provider. For example, clinical guidelines may state that the use of a specific blood pressure drug should be stopped if systolic blood pressure is not reduced by at least a particular value within three months. The system may use such data to define the treatment timeline and the milestones within the timeline.
The system also comprises a tracking module which is configured to track each patient parameter during the treatment timeline, and to provide an alert relating to the effectiveness of the at least one treatment regime when a milestone on the timeline is reached. The alert may, for example, comprise a message of encouragement displayed on the patient interface device if an analysis of the patient parameter at a milestone indicates that the treatment regime is having a positive impact. The alert may also comprise a message displayed on the healthcare professional interface device and / or the patient interface device indicating that the treatment regime is not proving effective. The alert may include the suggestion of a clinical review or the suggestion of at least one alternative treatment regime. The selection of alternative treatment regimes for suggestion is carried out by the methodology selection module which uses information, including relating to the current treatment regime, to generate the proposed alternatives.
The treatment regime may comprise at least one medicament, for example a medicament for the control of glucose levels, blood pressure or cholesterol or for weight loss. Preferably, in the case of the selection of at least one medicament, the methodology selection module is configured such that the treatment regime may be selected via the healthcare professional interface device. If the treatment regime comprises at least one medicament, the patient parameter may be selected from parameters relevant to the clinical effect of the medicament. Patient parameters may, for example, be selected from at least one of weight, blood pressure, blood or plasma glucose levels, or HbA1c levels or any other surrogate parameter related to health and / or quality of life.
The treatment regime may comprise a dietary strategy, for example a dietary strategy matched to the health related data entered by the patient or from the healthcare professional interface device. This may for example include dietary strategies matched to a specific chronic disease, such as to be suitable for diabetics. The health related data entered by the patient may include responses to a questionnaire relating to eating habits and preferences, such as an emotional eating questionnaire. This enables the provision of an individualised selection of dietary strategies, which can lead to increasing patient compliance and therefore improved clinical outcomes. Patient parameters may, for example, be selected from at least one of weight, blood pressure, blood or plasma glucose levels, or HbA1 c levels or any other surrogate parameter related to health and / or quality of life.
The treatment regime may comprise an exercise plan, for example an exercise plan matched to the health related data entered by the patient or from the healthcare professional interface device. The health related data entered by the patient may include responses to a questionnaire relating to exercise habits and preferences. This enables the provision of an individualised selection of exercise plans, and can lead to increasing patient compliance and therefore improved clinical outcomes. Patient parameters may, for example, be selected from at least one of weight, blood pressure, blood or plasma glucose levels, or HbA1 c levels or any other surrogate parameter related to health and / or quality of life.
According to a third aspect of the invention there is provided a computer network suitable for use in a system for the management of disease as described herein, the network comprising a database of parameters relating to diseases and a plurality of treatment regimes; a methodology selection module which is configured to enable the selection of at least one individualised treatment regime comprising at least one medicament, the methodology selection module configured to provide treatment regimes for selection based on an analysis of the patient-related data and / or the health-related data; a target selection module which is configured to enable the selection of a treatment target relating to at least one patient parameter; a timeline module which is configured to generate a treatment timeline; a tracking module which is configured to track the or each patient parameter during the treatment timeline, and to provide an alert relating to the effectiveness of the at least one treatment regime 10 when a milestone on the timeline is reached.
According to a fourth aspect of the invention there is provided a system, and / or a computer network suitable for use in a system, for the management of disease as described herein, for use in the treatment of diabetes and / or obesity and / or for use in the 15 reduction of blood or plasma glucose levels or HbA1c levels.
The present invention will now be described, by way of example only, with reference to the accompanying drawings, in which: Figure 1 is a schematic diagram of an embodiment of a system for the management of disease.
Figure 2 is a flow chart showing general operations performed by an embodiment of the system.
Figure 3 is a flow chart showing an example of operations performed by an embodiment of the system for a patient with obesity and where the treatment regime is a dietary strategy.
Figure 4 is a flow chart showing an example of operations performed by an embodiment of the system for a patient with diabetes and where the treatment regime is a medicament.
Figure 1 shows an embodiment of a system 10 for the management of disease. The system 10 includes a patient interface device 12 and a healthcare professional interface device 14, which may be, for example, a personal computer or a portable electronic device, such as a tablet or a mobile phone.
The patient interface device 12 is configured to receive patient-related data, for 5 example through manual input by the patient. The patient interface device 12 may be configured to send to, and / or receive data from, other devices 16, such as a glucose meter, a weighing scales etc., for example through a Wi-Fi connection, or may be configured to send to, and / or receive data from, third party applications 18, such as mobile device apps, that are external to the system 10. The patient interface device 12 may also be configured to send to, and / or receive information from external data systems 20, such as the computer system of a local healthcare provider.
The healthcare professional interface device 14 is configured to receive health-related data relating to patient, which may be manually entered, for example by a healthcare professional, or may be received by the healthcare professional interface device through a connection to an external data system 20, such as the computer system of a local healthcare provider, such as that of primary care centre. The healthcare professional interface device 14 may be configured to send to, and / or receive data from, other devices 16, or software applications, such as mobile apps, that are external to the system 10.
The patient interface device 12 and the healthcare professional interface device 14 are connected, for example by an internet connection, to a computer network 22, which includes a database 24 for storing parameters relating to diseases and to a plurality of treatment regimes. The database may also be used to store patient information.
In use, a patient is provided with means to access the system 10. In the case of a patient with a chronic disease, this may be through a referral or prescription from a health care professional. The healthcare professional may enter health related data relating to a patient prior to the patient accessing the system. This data may include, for example, patient identification details, gender, age, ethnicity and current medications. This information may be entered manually and / or by a connection to the data system of the healthcare professional 20. The information received from the healthcare professional interface device 14 may be used to configure the information displayed on the patient interface device 12, for example to personalise the welcome screen and to provide relevant information to the patient.
Once the patient accesses the system 10, there are provided prompts to enter relevant patient-related data, such as height and weight details, etc. The patient is then able to access the system 10 and to explore the personalised content. The network 22 enables the patient and / or the healthcare professional to access the target selection module 26 and the methodology selection module 28. If a treatment target and a treatment regime have been selected then the network 22 enables the timeline module 30 and the tracking module 32 to provide relevant content to the patient interface device 12 and allows communications to be sent to the patient and / or the healthcare professional.
Figure 2 is a flow chart showing general operations performed by an embodiment of the system 10. The system 10 is provided with a current value 102 for a patient parameter, which may be obtained from the patient interface device 12 or the healthcare professional interface device 14 as described above. The system is also provided with information relating to guidelines for patient parameter ranges 104, such as optimal BMI ranges, which are stored in database 24, and other relevant personal information 106 relating to the current value 102, for example gender, age or ethnic group.
The system 10 determines whether the current value 102 of the patient parameter is within an optimal range at step 108, as defined by an interrogation by the system of the guidelines 104, in light of the other relevant information 106. If the system 10 determines that the current value 102 is within an optimal range then this status is displayed at step 110 on the patient interface device 12 and / or the healthcare professional interface device 14. The system 10 may be configured to provide ongoing prompts to the patient 112, for example to offer encouragement and maintain patient engagement. The system is configured to routinely re-assess the current patient status at step 114. This assessment may involve a prompt to enter a current value 102 for a patient parameter displayed on the patient interface device 12 and / or the healthcare professional interface device 14. The current value 102 is then assessed as described above.
If the system 10 determines that the current value is outside the optimal range at step 108, then the system 10 enables the selection of a treatment target relating to the patient parameter at step 115. Upon selection of a treatment target, the system 10 defines a treatment timeline at step 116 including a time period for the patient parameter to reach the selected target value or target range and one or more milestones at points along the timeline. The system 10 may be configured to allow a health-care professional to over-ride the treatment target or the treatment timeline 118, for example by altering the target or the rate of progress towards the target.
The system 10 provides the patient and / or the healthcare professional with at least one individualised treatment regime for selection at step 120, for example an exercise plan or a dietary strategy. The selection of a treatment regime at step 122 prompts the system to reconfigure and for the system to deliver information and advice 124 specific to the treatment regime selected to the patient interface device 12. The system 10 also provides a visual display of progress with regards to changes in the patient parameter over time 126 and may provide automated messaging to the patient and / or the healthcare professional, for example relating to progress towards the target 128.
The treatment timeline includes milestones along the treatment timeline at which the progress towards the target is assessed at step 130. The system may, for example, check whether the parameter value falls within a predefined range for a particular milestone step 132. If a milestone parameter range has been reached then the system may provide an alert to the patient 128 to indicate the progress made and / or to the healthcare professional 134. If the system 10 identifies that a milestone parameter range has not been reached then remedial action is taken at step 136. An alert to a healthcare professional may be delivered 138 and the system 10 re-assesses and defines a modified treatment timeline. As appropriate, alternative treatment regimes are offered 120 which are selected taking into account the failure of the previous treatment regime.
Figure 3 is a flow chart showing an example of operations performed an embodiment of the system 10 for a patient with obesity. The system 10 is provided the patient's current body-mass index 202, which may, for example, be entered by the patient via the patient interface device 12 in the form of height and weight measurements. If the system 10 is missing a height value for the patient then the system will prompt the user to enter this value before any further action is taken. The system is also provided with information relating to guidelines for optimal BMI ranges 204 and other relevant personal information 206 such as details of previous weight loss attempts and strategies used, eating preferences, personality typing for emotional eating (which may be defined using an emotional eating questionnaire), ethnic group, medical history etc. The system 10 determines whether the current value of the BMI 202 is within an optimal range as defined by an interrogation of the guidelines 204 and the other relevant information 206. If the system 10 determines that the current value of the BMI 202 is within an optimal range at step 208 then the patient is informed of the current optimal status 210. The system 10 may be configured to provide ongoing prompts to the patient 212, for example to offer encouragement and maintain engagement with the system 10. The system 10 is configured to routinely re-assess the current patient status at step 214. This assessment may involve a prompt to enter a current weight value displayed on the patient interface device 12. The result of the assessment of the current patient status at step 214 may be communicated to a healthcare professional 216. The current BMI value 202 is then assessed as described above.
If the system 10 determines that the current BMI value 202 is outside the optimal range 208, then the system 10 defines a treatment timeline at step 218. The system 10 determines a target BMI range, a suitable rate of progress towards the BMI target, and defines milestones along the treatment timeline. The system 10 may be configured to allow a health-care professional to over-ride the treatment timeline 220, for example by altering the BMI target range or the rate of progress towards the target.
The system 10 provides the patient with at least one weight loss challenge for selection step 222. The weight loss challenges may be linked to clinical outcomes -such as a reduction in heart attack risk or a risk of stroke. The selection of a weight loss challenge at step 224 sets a treatment target within the defined BMI range, and the system 10 is reconfigured to deliver information to the patient interface device 12 of relevance to the selected weight loss challenge 226.
The system 10 provides the patient with at least one dietary strategy for selection at step 228. The system is configured to provide dietary strategies for selection based on the weight loss target and relevant personal information, such as ethnic group, eating preferences, personality typing for emotional eating, medical history etc. The patient selects a dietary strategy at step 230, and the system 10 is reconfigured to deliver information to the patient interface device 12 of relevance to the selected dietary strategy 232.
After selection of the dietary strategy, the system 10 also provides a visual display of progress with regards to changes in BMI over time 234 and may provide automated messaging to the user relating towards target progress 236. The system 10 also provides advice delivered to the patient interface device 12 to support change and enhance patient engagement 238.
The treatment timeline includes milestones along the treatment timeline at which the progress towards the target is assessed at step 240. The system may, for example, check whether the BMI value falls within a predefined range for a particular milestone step 242. If the BMI value falls within the desired BMI range at a milestone on the timeline then the system may provide an alert to the patient 236 to indicate the progress made and / or to the healthcare professional 244. If the system 10 identifies that a milestone parameter range has not been reached and / or that there has been repeated failure 246 to reach a milestone then remedial action is taken 248. A communication to a health care professional may be delivered and the system 10 re-assesses and defines a modified treatment timeline at step 218. As appropriate the dietary strategies which are offered for selection at step 228 are selected based on parameters, including details of the previously tried dietary strategy.
Figure 4 is a flow chart showing an example of operations performed by an embodiment of the system 10 for a patient with diabetes and where the treatment regime is a medicament. The system 10 is provided with a current HbA1 c value for the patient 302. This value may, for example, be entered by a health care professional via the healthcare professional interface device 14. The system 10 is also provided with a target HbA1 c value 304 for the patient, for example based on a % reduction in HbA1c level. This may be set following a prompt from the target selection module 26 to the healthcare professional, or may be determined automatically by the target selection module 26, for example by interrogation of clinical guidelines 306 for the current patient medication 308.
The system 10 uses the target value 304, the information on the current patient medication 308 and the clinical guidelines 306 to define a treatment timeline at step 310, and defines milestones along the treatment timeline. The system 10 may be configured to allow a healthcare professional to over-ride the treatment timeline 312, for example by altering the rate of progress towards the target.
The system 10 displays at step 314 the current HbA1c level 302 on the patient interface device 12 and / or the healthcare professional interface device 14. This display 314 may, for example, be in the form of a graph plotting the current HbA1c against the time period of treatment and indicating the current treatment target and / or the current medications.
The system 10 defines points along the treatment timeline at which the progress towards the target is analysed step 316. The system 10 checks whether milestones on the treatment timeline have been reached. If a milestone has been met then the system may provide a message to the patient at step 318 to indicate current optimal status. The system may also provide ongoing prompts to the patient, for example to encourage compliance with a medicine dosage regime. The system is configured to routinely re-assess the current patient status at step 322. This assessment may involve a prompt to enter a current value 302 for a patient parameter displayed on the patient interface device 12 and / or the healthcare professional interface device 14. The current value 302 is then assessed as described above.
If the system 10 identifies that a milestone has not been reached then a communication may be sent to a health care professional 324 and / or the patient 326. The system 10 analyses the status of the patient at step 328, for example including an analysis of current medicines, past medicines and the response to these medicines, patient allergies, alternative medicines etc. The system 10 is then reconfigured to deliver information specific to the patient parameter and displays options to the patient and / or the healthcare professional for alternative interventions available.
Claims (16)
- Claims 1. A system for the management of disease, the system comprising: a patient interface device which is configured to receive patient-related data; a healthcare professional interface device which is configured to receive health-related data relating to the patient a computer network which comprises a database of parameters relating to diseases and a plurality of treatment regimes, the computer network being adapted to receive data from the patient interface device and / or the healthcare professional interface device; a methodology selection module which is configured to enable the selection of at least one individualised treatment regime comprising at least one medicament, the methodology selection module configured to provide treatment regimes for selection based on an analysis of the patient-related data and / or the health-related data; a target selection module which is configured to enable the selection of a treatment target relating to at least one patient parameter; a timeline module which is configured to generate an individualised treatment timeline; a tracking module which is configured to track the or each patient parameter during the treatment timeline, and to provide an alert relating to the effectiveness of the at least one treatment regime when a milestone on the timeline is reached.
- 2. A system according to claim 1 in which the methodology selection module is configured to provide treatment regimes for selection based on an additional analysis of at least one of; (i) current clinical guidelines; (ii) information on previously tried treatment regimes.
- 3. A system according to claim 1 or claim 2 in which the plurality of treatment regimes includes treatment regimes comprising medicaments, exercise plans and dietary strategies.
- 4. A system according to any preceding claim in which the alert comprises an 30 indication that the treatment regime is not proving effective.
- 5. A system according to any preceding claim wherein the timeline module is configured to generate a treatment timeline based on an analysis of (i) the patient-related data and / or the health-related data and (ii) current clinical guidelines.
- 6. A system according to any preceding claim wherein the at least one treatment regime additionally comprises a dietary strategy.
- 7. A system according to claim 6 wherein the patient-related data includes responses to an emotional eating questionnaire.
- 8. A system according to any preceding claim wherein the at least one treatment regime additionally comprises an exercise plan.
- 9. A system according to any one of claims 6 to 8 in which the target selection module 15 is configured to provide options for treatment targets based on clinical outcomes.
- 10. A system according to any preceding claim wherein the patient parameter is selected from at least one of weight, blood pressure, blood or plasma glucose levels, or HbA1c levels.
- 11. A system according to any preceding claim in which the alert includes the suggestion of at least one alternative treatment regime.
- 12. A system according to any preceding claim in which the disease is a chronic 25 condition.
- 13. A system according to any preceding claim in which the disease is diabetes or obesity.
- 14. A system according to any one of claims 1 to 12 in which the disease is a cancer.
- 15. A computer network suitable for use in the system of claims 1 to 14, the network comprising: a database of parameters relating to diseases and a plurality of treatment regimes; a methodology selection module which is configured to enable the selection of at least one individualised treatment regime comprising at least one medicament, the methodology selection module configured to provide treatment regimes for selection based on an analysis of the patient-related data and / or the health-related data; a target selection module which is configured to enable the selection of a treatment target relating to at least one patient parameter; a timeline module which is configured to generate an individualised treatment timeline; a tracking module which is configured to track the or each patient parameter during the treatment timeline, and to provide an alert relating to the effectiveness of the at least one 10 treatment regime when a milestone on the timeline is reached.
- 16. A system substantially as described herein and with reference to the accompanying drawings.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB201422985 | 2014-12-22 |
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| Publication Number | Publication Date |
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| GB201522492D0 GB201522492D0 (en) | 2016-02-03 |
| GB2534685A true GB2534685A (en) | 2016-08-03 |
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| Application Number | Title | Priority Date | Filing Date |
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| GB1522492.6A Withdrawn GB2534685A (en) | 2014-12-22 | 2015-12-21 | Disease management system |
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| GB (1) | GB2534685A (en) |
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- 2015-12-21 GB GB1522492.6A patent/GB2534685A/en not_active Withdrawn
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| None * |
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| GB201522492D0 (en) | 2016-02-03 |
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