WO2020053759A2 - Procédé et système pour aider un fournisseur de soins de santé - Google Patents

Procédé et système pour aider un fournisseur de soins de santé Download PDF

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Publication number
WO2020053759A2
WO2020053759A2 PCT/IB2019/057619 IB2019057619W WO2020053759A2 WO 2020053759 A2 WO2020053759 A2 WO 2020053759A2 IB 2019057619 W IB2019057619 W IB 2019057619W WO 2020053759 A2 WO2020053759 A2 WO 2020053759A2
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WIPO (PCT)
Prior art keywords
patient
medical
care
diagnosis
health
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PCT/IB2019/057619
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English (en)
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WO2020053759A3 (fr
Inventor
Nao Norman SIPULA
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Karega Mombe Family Trust
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Application filed by Karega Mombe Family Trust filed Critical Karega Mombe Family Trust
Publication of WO2020053759A2 publication Critical patent/WO2020053759A2/fr
Publication of WO2020053759A3 publication Critical patent/WO2020053759A3/fr
Priority to ZA2021/01876A priority Critical patent/ZA202101876B/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Definitions

  • This invention relates to a method of and system for aiding a health care provider. More specifically, but not exclusively, this invention relates to a method of and system for providing automated care coordination for integrated active chronic diseases management.
  • LMICs Low to Middle Income countries
  • NCDs Non-Communicable Diseases
  • NCDs Non-Communicable Diseases
  • Their greatest impediment is not only due to poor socio-economic conditions and lack of resources, but also due to their inability to share the little that they have in increased simultaneous coverage by:
  • Treatment of HIV/AIDS sufferers is a complex process that requires a special knowledge and proficiency in chronic disease management, a situation compounded by the fact that the disease tends to occur in association with other comorbidities such as TB and NCDs. Medicines used for the treatment of these conditions also add to its complexity from drug interactions and side effects that tend to cause or worsen one or more of the comorbidities dealing with these complex cases is more often than not an almost unattainable task for most LMICs with limited resources.
  • NCDs fall within specialised disciplines of medicine such as Diabetology, Endocrinology, Cardiology, Nephrology and Cardio-oncology, making it extremely difficult for primary health care workers to deal with, hence the high mortality and morbidity rate that is associated with the ever-worsening global burden of disease, a situation that has left resource constraint LMICs struggling to cope.
  • HIV testing programmes show that certain groups are tested much less than the recommended frequency, for example, a significant proportion of men go untested as do adolescents young people and men-who-have-sex-with-men.
  • the world is on a drive to strengthen community and workplace-based HIV testing and counseling involving all of government and all of society to narrow this gap.
  • Districts are struggling to make head or tail of people that are lost to follow; they are battling with data collection, data quality and even verifiability of the little data they are able to access they are unable to seamlessly integrate Ward-Based Outreach Teams (“WBOT”) and Primary Health Clinics’ (“PHC”) outcome indicators to the district health information system that would give government a sense of its people’s health status and needs.
  • WBOT Ward-Based Outreach Teams
  • PHC Primary Health Clinics
  • the world could be short of as much as 12.9 million health-care workers by 2035.
  • the situation looks even bleaker for Sub-Saharan Africa, with about 1 1 % of the world’s population while bearing over 24% of the global disease burden, but it is home to only 3% of the global health workforce, and spends less than 1 % of the world’s financial resources on health. (Anyangwe and Mtonga, 2007).
  • the doctor-to-population ratio is currently 0.8 per 1 000, where up to 80% of doctors prefer not to work for the state. It is inconceivable that this situation will be corrected in the near future, considering that it takes an average of six years to train a junior doctor and approximately ten years to train a specialist.
  • HIV/AIDS and TB are diseases that do not occur in isolation, when HIV/AIDs and TB patients die, they more often than not die from multiple other comorbidities such as diabetes, hypertension, kidney failure, coronary artery disease, and stroke. HIV/AIDS and TB patients tend to have one or more comorbidities such as side effects from treatment, hypertension, diabetes, mental illness, peripheral vascular diseases, metabolic syndrome, high cholesterol and cancer that cry for integrated, cost sharing approach to care, in keeping with a strong body of scientific evidence that supports epidemiological, clinical and management rationale for the integration of health system responses to HIV/AIDS, TB and NCDs.
  • LMIC Low to Middle Income countries
  • death is usually related to poverty, poor education and inadequate access to good health care services.
  • LMIC maternal mortality ratio is usually above 50 per 100 000 deliveries.
  • the maternal mortality ratio varies widely between LMIC with some very poorly resourced communities having a ratio as high as 1000 per 100 000.
  • South Africa the estimated maternal mortality ratio is 200 / 100 000, the deaths are usually due to lack of knowledge on how to manage ill pregnant women as well as a result of poor quality of integrated care in an environment where there is high prevalence of comorbidity with chronic diseases, especially so in rural areas of South Africa.
  • a method of aiding a health care provider including the steps of:
  • the captured data is captured on the database by a user.
  • the user may be associated with any one or more selected from the group consisting of:
  • the patient’s medical information may include any one or more selected from the group consisting of:
  • any one or more of the following may be determined and displayed:
  • the level of therapy administered to the patient such as first line or second line therapy
  • o is provided at optimal or sub-optimal dose
  • o is appropriate based on disease classification, diagnosis, age, gender and ethnicity as well as health risk profile,
  • any one or more of the following may be determined and displayed:
  • the patient's risk of developing a new disease or complications from current conditions by comparing the medical laboratory test results with any one or both of the captured data and pre-stored data.
  • new disease could include, but is not necessarily limited to diabetes or hypertension.
  • risk of developing complications from current conditions could include, but is not necessarily limited to risk of developing a heart attack, stroke or chronic progressive kidney disease.
  • patient’s medical information includes the pharmacy prescription and medical laboratory test results
  • new care plans that automates patient schedules for future consultations, repeat laboratory investigations, medical procedures and prescription refills to be collected may be determined and displayed by way of clinical actionable clinical output statements and decision support using a patient and health care service provider reminder system.
  • a system for aiding a health care provider comprising:
  • - a database configured to store captured data relating to a patient’s medical information
  • processing module in communication with the database, and configured to process the captured data by comparing it against pre-stored data relating to pre-set clinical guidelines, protocols, or care pathways to accordingly determine an appropriate diagnosis and treatment procedure or care pathway associated with the diagnosis;
  • an interface in communication with the processing module, and configured to display the diagnosis or treatment procedure.
  • the interface may be further configured to retrieve from the database the captured data and to display the patient’s medical information.
  • the interface may be in communication with the processing module by means of a data communications network being in the form of any one or both of a wired and wireless network.
  • the interface is further configured to allow a user to capture the captured data on the database.
  • the user may be associated with any one or more selected from the group consisting of:
  • the patient’s medical information may include any one or more selected from the group consisting of:
  • the processing module may be configured to determine, for display on the interface, any one or more of the following:
  • the level of therapy administered to the patient such as first line or second line therapy
  • o is provided at optimal or sub-optimal dose
  • o is appropriate based on disease classification, diagnosis, age, gender and ethnicity as well as health risk profile,
  • the processing module may be configured to determine, for display on the interface, any one or more of the following:
  • Such new disease could include, but is not necessarily limited to diabetes or hypertension.
  • the risk of developing complications from current conditions could include, but is not necessarily limited to risk of developing a heart attack, stroke or chronic progressive kidney disease.
  • the processing module may be configured to determine, for display on the interface, new care plans that automates patient schedules for future consultations, repeat laboratory investigations, medical procedures and prescription refills to be collected may be determined and displayed by using a health care service provider and patient reminder system.
  • the interface may include a suitable electronic device.
  • Figure 1 is a schematic diagram of a system for aiding a health care provider, in accordance with the invention
  • Figure 2 is a first example page that an interface, forming part of the system, is configured to display;
  • Figure 3 is a second example page that the interface is configured to display.
  • Figure 4 is a third example page that the interface is configured to display.
  • a system for aiding a health care service provided in accordance with a first embodiment of the invention is generally indicated by reference numeral 10.
  • the system 10 comprises a database 12 that is configured to store captured data 14 relating to a patient’s 26 medical information and clinical condition.
  • the system 10 also includes a processing module 16 that is in data communication with the database 12 and configured to process the captured data 14 by comparing it against pre-stored data 18 relating to any one or more selected from the group consisting of pre-set clinical guidelines, protocols, and care pathways, and to accordingly determine an appropriate diagnosis and any one or both of a treatment procedure and care pathway associated with the diagnosis.
  • the system 10 also includes an interface 20 that is in data communication with the processing module 16 and configured to display any one or more selected from the group consisting of the determined diagnosis, treatment procedure and care pathway.
  • the pre-stored data 18 are also stored on the database 12.
  • the pre-set clinical guidelines, protocols, and care pathways are defined pre-set medical input information.
  • the determined diagnosis, treatment procedure and care pathway are also herein refereed to as medical output information.
  • the processing module 16 is further configured to determine, for display on the interface 20, any one or more selected from the group consisting of:
  • a symptom is within a pre-determined acceptable threshold, or not (i.e. if the symptom is controlled, or not);
  • the processing module 16 is configured to determine, for display on the interface 20, whether the medicine prescribed by the pharmacy prescription:
  • the interface 20 is in communication with the processing module 16 by means of a data communications network 22 being in the form of any one or both of a wired and wireless network.
  • the interface 20 is further configured to allow a user to capture or feed the captured data 14 on the database 12.
  • a user could be associated with any one or more selected from the group consisting of:
  • the patient’s medical information 14 could include any one or more selected from the group consisting of:
  • the interface 20 could be further configured to retrieve from the database 12 the captured data 14 and process it to generate meaningful use, clinical output statements that form part of a free text based, detailed narrative of the patient’s clinical condition and health risk status.
  • the interface 20 could also be configured to display the diagnosis or treatment procedure, care coordination and a system generated clinical decision support that is shared with providers of care.
  • the captured data 14 could be fed to the database 12 either manually, for example, by entering the information on the interface 20, or automatically.
  • the pharmacy 28, laboratory 30, and/or peripheral device 32 could interface with the database 12 whereby data generated by the same is automatically fed to the database 12.
  • the pharmacy 28 once a prescription has been captured for a particular patient by the pharmacy 28, it could automatically be captured on the database 12 as part of the medical information 14 of a corresponding patient.
  • the medical laboratory 30 once a test result has been captured or becomes available for a particular patient by the laboratory 30, it could automatically be captured on the database 12 as part of the medical information 14 of a corresponding patient.
  • peripheral medical device 32 once a test result has been generated by the device 32 for a particular patient, it could automatically be captured on the database 12 as part of the medical information 14 of a corresponding patient.
  • Each of the health care provider 24, patient 26, pharmacy 28, laboratory 30, and peripheral device 32 are capable of loading different specific datasets onto the database 1 2 as part of the captured data 14.
  • system 10 and method are able to accommodate any number of health care providers 24, patients 26, pharmacies 28, laboratories 30, and peripheral devices 32, and the database 12 could include data relating to the medical information of any number of patients 26.
  • Medical peripheral devices 32 are well known and widely used, and include, but is not limited to digital ECG, ultrasound, eye test machine, blood pressure machine, a weighing scale a pulse oximeter mid upper arm circumference (MUC), height and abdominal circumference measuring tapes, spirometer, digital tools for capturing a diabetic foot assessment and prescribed medicine and the like.
  • Figures 2-4 there is shown example pages that the interface is configured to display.
  • the interface is configured to display.
  • Figure 3 for the example medical condition entitled “Blood Pressure Flomeostasis” there is shown a previously determined diagnosis and treatment procedure which a particular patient is on, based on input medical data that has been previously captured on the database 12.
  • the current suggestive determined diagnosis, treatment procedure or care pathway is displayed based on the current captured data 14.
  • the method includes the steps of:
  • - processing the captured medical information will form the basis of integrating laboratory test results with patient clinical information to compute real-time clinical decision support information that will standardise care coordination and influence clinical outcomes by combining such processed data with pre-stored augmented artificial medical knowledge system capable of correlating pre-set clinical guidelines, care pathways and/or protocols to laboratory test results.
  • the user is further guided in by the system in real-time on the most current patient and disease specific clinical best practice requirements for fulfilling a desired ideal comprehensive integrated approach of care, when ordering laboratory investigations.
  • patient-specific clinical output statements that describe the patient’s clinical condition and health risk status will be generated by the system, providing meaningful use, actionable clinical decision support information and care coordination plans that are integrated into an automated disease and or patient-based care coordination of future consultations, repeat laboratory investigations, medical procedures and prescription refills that may be fed to a patient and health care provider reminder service.
  • a knowledge equalizer that gives users the capability to deliver integrated chronic disease management with minimal variability of care independent of the health professional’s level of knowledge or proficiency in the application of recommended clinical guidelines and care pathways in the day to day treatment of chronic patients.
  • the methodology requires very minimal direct input of clinical information from physical examination by a healthcare professional, such as: patient family and medical history, weight, height and blood pressure, to produce an automated, intuitive expert system for the management of chronic diseases, designed for ease of use by primary healthcare workers in resource constraint settings.
  • a pharmacy prescription for a chronic disease to extrapolate patient diagnosis, level of care such as first line or second line therapy, and whether the medicine selection is provided at optimal or suboptimal dose, appropriate for age, gender, ethnicity and health risk profile compare the prescribed medicine with clinical data derived from personal and family medical history or recorded physical observations to figure out if the treatment has achieved the intended therapeutic goal or is in adherence to clinical guidelines and treatment protocols.
  • Interrogate medical laboratory test results to further extrapolate and confirm patient diagnosis even for conditions that are not easily identifiable through a prescription and cross reference this data with all other available data sets to generate disease classification, staging and conduct a risk cross stratification to determine the patient's risk of developing new disease or complications from current condition, such as risk of heart attack, stroke, chronic progressive kidney disease.
  • the integrated approach allows the methodology to deliver a life-long longitudinal single view of the patient's health status and risk profile and monitors patient and healthcare worker’s adherence to clinical guidelines, treatment protocols and care pathways with the ability to flag anomalies. Poor adherence to guidelines may occur because doctors are not aware of or do not understand the reasoning behind the Guidelines, or because patients do not comply with recommended interventions.
  • the innovation seeks to alleviate the global shortage of a health work force by taking over the entire patient clinical management in support of less knowledgeable healthcare workers treating a selected group of chronic diseases such as NCDs,
  • the methodology When combined with ICT, the methodology allows for the automation of the patient care process by generating patient specific clinical notes and actionable, meaningful use clinic decision support statement, takes over patient appointment scheduling, reminders, tracking of patient and health care professionals’ compliance with recommended treatment and guideline-based, periodic laboratory test scheduling, to flag any anomalies and deviations from standardized treatment protocols and care pathways.
  • an Artificial Intelligence (“Al”) system the methodology forms the basis for enhanced machine learning and supervised autonomous Al-driven patient care amenable to human oversight.
  • the innovation allows for task shifting within the current primary healthcare work-flow.
  • nurses and doctors are up-skilled to perform work previously reserved for specialists using patient specific clinical records and disease management decision support statements generated through this innovation. They require minimal training on the principles of managing complex chronic diseases such as diabetes, hypertension, cardiac diseases, high cholesterol, kidney disease, HIV/AIDS, TB, Maternal and Child care and on how to interact with system generated, actionable, clinical decision support output statements.
  • Integrated response requires well-aligned intervention packages. Therefore, connection between TB,HIV and NCDs could be considered as an important driver of integrated response.
  • Co-occurrence Due to the connection between TB, HIV/AIDS and NCDs, co occurrence of the diseases in an individual, comorbidity, is common. Evidence about levels of comorbidity is essential for planning and management of multi- morbid cases. Because of the effects of HIV disease itself, HIV treatment effects and increasing age, the HIV positive population is at a higher risk of NCDs than the general population. HIV patients having NCDs need comprehensive services that have integrated continuity.
  • ICT Information and Communications Technologies
  • AAMKS Augmented Artificial Medical Knowledge Systems
  • the innovation is in support of this current global need for novel approaches to innovative ways that will have an impact on the global burden of disease caused by Maternal and Childhood diseases, HIV/AIDs, TB and NCDs (Diabetes, hypertension, kidney diseases, high cholesterol, cardiovascular diseases, thyroid disease and chronic respiratory diseases and cancer). It provides a meaningful-use, integrated single view approach to treatment and care of patients living with these diseases and their comorbidities, in pursuit of equitable universal health coverage and sustainable development goals for health.
  • the disclosed methodology is designed to address the disease burden that LMICs face - especially in so far as NCDs are concerned - at a systemic level, by offering cost sharing with a labour pool diagonal approach to care. It is a unique clinical integration method for chronic disease management, in a re-imagined primary healthcare environment, built on current acute and infectious disease model, but with its arch bent towards excellence in integrated care for HIV/AIDS, TB, and NCDs delivered through laboratories. It seamlessly utilises a non-traditional approach of laboratories as centres of excellence and care coordinators that integrates NCDs, HIV/AIDS, TB, Maternal and Child care to provide users with a life-long longitudinal single view of patient clinical health records, and a source of interactive clinical decision support that serves as an integrated education platform for chronic disease management .
  • the disclosed invention closes the current global gap of a doctor-to-population shortage by providing a scalable expert medical knowledge and a chronic disease management system. It is a health workforce multiplier that reduces society's dependence on few available doctors and specialists when dealing with the current epidemics by addressing three fundamental systemic problems that are characteristic of LMIC, namely: - A global shortage of a health work force that continues to diminish with each passing year;
  • This invention teaches a method of and system for converting medical laboratories and/or point of care facilities into centres of excellence for automation of outcome based, real-time, clinical decision support and care coordination for the management of patients suffering from chronic diseases such as Noncommunicable Diseases (NCD), HIV/AIDS and TB.
  • NCD Noncommunicable Diseases
  • existing medical laboratory analysers and peripheral medical devices are utilised as instruments for measuring human homeostasis to determine the risk, presence, absence or severity of disease processes in a human body, which is performed in isolation from the clinical presentation, family and medical history of the patient as recorded and observed by an investigating health worker.
  • the invention provides a new approach where peripheral medical devices, laboratory analysers and/or point of care facilities treat the patient as a single indivisible being whose homeostasis informs and is in turn informed by the patient’s clinical presentation presence and or absence of comorbidities as well as patient demographic information personal and family medical history that provides a holistic sum total of the patient’s health status and risk profile.
  • the invention assumes a new overarching active role of a patient care coordinator and provider of real-time clinical decision support to health care providers, aiding a health care provider to provide a standardised, explainable, predictable and reproducible methodology for managing chronic diseases with minimal variability of care across a network of service providers irrespective of their level of medical knowledge.
  • the invention further assists in addressing the global shortage of a health workforce by cascading tertiary level clinical knowledge to primary health care workers and ward- based community outreach teams (WBOT) regarding a new integrated approach to chronic disease management and care it will facilitate the incorporation of WBOT into mainstream clinical work while upskilling nurses to perform complex clinical work previously reserved for doctors and specialists in pursuit of sustainable development goal for health and equitable access to universal health coverage for low to middle income countries (LMIC).
  • WBOT tertiary level clinical knowledge to primary health care workers and ward- based community outreach teams
  • this invention provides for the conversion of medical laboratories and/or point of care facilities into non- traditional centres of excellence for the delivery of automated, outcome based, real time, clinical decision support and care coordination methodology in the management of patients suffering from chronic diseases such as NCD, HIV/AIDS and TB
  • the laboratory will assume a new overarching active role as a care coordinator and provider of real-time clinical decision support to health care providers, aiding a health care provider to deliver a scalable, standardised predictable and reproducible chronic disease management service that is delivered with minimal variability of care across a network of service providers.
  • the invention When provided with the required preliminary minimum basic information, such as patient demographics, personal and medical history, various vital signs, and presenting symptoms, the invention is capable of providing capacity and capability for laboratories to take over the entire chronic patient disease management process and care coordination with very minimal input required from a health care provider.
  • the laboratory assumes a new and central role as fist point of care contact in a primary healthcare work-flow setting.
  • the laboratory and/or point of care facility forms an integral part of a chronic disease management methodology, where patient demographic information, family and personal medical history and/or prescribed medicines together with clinical findings such as blood pressure, weight, height, diabetic foot assessment, diabetic retinal assessment and ECG pulmonary function test results are intertwined to and are inseparable from the laboratory test requests and results thereof.
  • the laboratory test results are seamlessly incorporated directly into the patient’s clinical health records and/or are written into the patient clinical notes presented as clinical output statements that gives the laboratory the ability to provide automated coordination of active chronic disease management with real-time actionable clinical decision support statements for health care providers and patients, aiding a health care provider to provide standardized predictable chronic disease management services with minimal variability of care across a network of service providers irrespective of their level of medical knowledge aiding a health care provider with which the aforesaid disadvantages can be overcome or at least minimized, and/or which provides a useful alternative to known methods of and systems for aiding health care providers in care coordination diagnosing and/or patients treatment and scheduling and the capability to almost take over the entire chronic patient disease management process with minimal input from the care giver.
  • the invention departs from the current primary healthcare work-flow as we know it to one where the laboratory becomes the fulcrum around which the clinical workflow and care coordination revolves where a typical visit to a healthcare facility will start the patient’s clinical work-flow journey from a laboratory work station that will have as a minimum requirement a patient weighing scale, a height measure, a blood pressure machine, thermometer, pulse oximeter and mid upper arm circumference (MUAC) tape supported by health screening tools for mental health cancer of the cervix prostate and breast including but not limited to cardio-oncology risk assessment tools.
  • MUAC mid upper arm circumference
  • the invention is designed to turn laboratories and/or point of care facilities into centres for clinical surveillance and care coordination gap analysis for health screening prevention and early detection of disease and or risk thereof.
  • the invention differs materially from current laboratory services on offer which are geared towards providing laboratory test results in PDF or digitised format that indicates test results and expected normal ranges that are presented in isolation from the overall patient health status and are uncorrelated to the patient family and medical history or current clinical findings level of health risk and or current treatment and/or existence of comorbidities such as may be the case in a diabetic patient who has a kidney problem is pregnant, HIV positive has TB and is on treatment with medicine that may exacerbate one or both conditions.
  • EMR electronic health record

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Abstract

La présente invention concerne un procédé et un système (10) pour aider un fournisseur de soins de santé. Le système (10) comprend une base de données (12) qui est configurée pour stocker des données capturées (14) en lien avec des informations médicales (26) d'un patient ; un module de traitement (16) qui est configuré pour traiter les données capturées (14) en les comparant à des données préstockées (18) et pour déterminer en conséquence un diagnostic approprié et l'un et/ou l'autre parmi un acte de traitement et un plan d'intervention associés au diagnostic ; et une interface (20) qui est configurée pour afficher un ou plusieurs éléments sélectionnés dans le groupe constitué par le diagnostic déterminé, l'acte de traitement et le plan d'intervention.
PCT/IB2019/057619 2018-09-10 2019-09-10 Procédé et système pour aider un fournisseur de soins de santé WO2020053759A2 (fr)

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Application Number Priority Date Filing Date Title
ZA2021/01876A ZA202101876B (en) 2018-09-10 2021-03-19 Method of and system for aiding a health care provider

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Application Number Priority Date Filing Date Title
ZA201806031 2018-09-10
ZA2018/06031 2018-09-10

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WO2020053759A2 true WO2020053759A2 (fr) 2020-03-19
WO2020053759A3 WO2020053759A3 (fr) 2020-06-11

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