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Present healthcare systems:Organised around acute catastrophic illnessesPatients treated until they are wellEpisodic, fragmentedMany countries:Health financing based on casualty" approach of health insuranceBased on fundamental unpredictability of disease
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1. Developing the Potential of the Life-time Health Plan (LHP)Managing population health, early warning systems, disease surveillance, etc
2. Present healthcare systems:
Organised around acute catastrophic illnesses
Patients treated until they are well
Episodic, fragmented
Many countries:
Health financing based on casualty
approach of health insurance
Based on fundamental unpredictability of
disease & injuries
Expensive health systems developed based
on acute care model.
3. In coming decades:
Increased predictability of risks of disease
(Lots of research still to be done)
Major advances in:
Immunology
Predictive genetics & human genome
project
? enable to predict disease long before
symptoms occur.
4. Concept of illness
Not all are unpredictable or Acts of God
Trauma, infections ? remain unpredictable
? smaller part of burden of illness
Predictive genetics ? illnesses that can be predicted
Implications: responsibility for dealing with avoidable or manageable illnesses. Paradigm Change for Healthcare
5.
Early warning systems- individual &
population health
Managed care ? improving: ? health status
? health outcomes
Community-based healthcare systems
hospital- back up
supports primary care ?engine of health service delivery
Patient-centred healthcare system.
(Note: 8 goals of health system in Telehealth blueprint changing roles of: hospitals, healthcare providers, patients) Paradigm Change for Healthcare
6. Move from: diagnosis & treat, salvage
to predict & early management of:
health risk factors
illness
Major implications: ?Acute care model of healthcare delivery
?Casualty model of health insurance.
Paradigm Change for Healthcare
7. Focus on:
Developing full potential in health- wellness
Manage individual health while still in state of
wellness
Screen for health risk factors
Early management of identified health risk factors
Early management of illness. Paradigm Change for Healthcare
8. Technology enabler to realise the vision for health Emphasis on :
Health promotion
Disease prevention
Health risk assessment in
management of individual, community health
Empowerment of individuals, families,
communities.
9. Telehealth Blueprint Lifetime Health Plan
To facilitate continuum of care for the lifetime
health data in state of wellness & illness systematically captured and available to healthcare providers
Ensures patient focused, continuous,
coordinated, integrated care throughout life
Lifetime Health Record to be created
10. Telehealth Blueprint Promoting the Health Paradigm
Essential health services :
information and education for
individuals to support the
wellness paradigm
consultations to maintain health or to provide early treatment of illness,
all underpinned by a lifetime health plan
and lifetime health record.
11. Telehealth Integration of information, communications, human-machine interface technologies with health and medical technologies to provide services to promote health and provide healthcare
National enterprise-wide health information system, which includes person management and health information, and which facilitates the sharing of health information and knowledge in healthcare settings, and which facilitates the management of health from the beginning to the end of life.
12. National Health Information System Total Health Information System allows information sharing to facilitate the implementation of a National Health System to proactively manage wellness and illness with adequate and appropriate support for healthcare planning and financing system.
Such an infostructure will be : goal focus, clinical outcomes, clinical eficiency, cost efficiency, episode and facility costs, condition specifics and risk related costs, total consumer-based costs
National Health Information System :
Strategic Approach.
13. National Enterprise-wide Health Information Network Potential of IT to improve quality:
automation of same types of clinical data
Automated clinical data required in many promising IT applications:
Computer-aided decision support system linked to evidence based with patient-specific clinical data
Diagnosis and treatment options treatment
Clinical trials collect, pool, analyse & disseminate data to all participants
Health service research applications:
assessment of clinical outcomes, identification of best practices, evaluation of methods for financing, service delivery
Etc
14. Lifetime Health Plan (LHP)Summary of Features National Enterprise-wide Master Person Index (MPI)
Integration to MyKAD
TELEHEALTH Data Dictionary
Lifetime Health Record
Enterprise Wide Order Management
Standard Documents
(Visit Summary, Referral Form, Lab Test Request etc)
7. Lifetime Health Summary Browser
8. Customization of Dataset For Clinical Clerking
9. GDS For Hospital And Health Care Facility Management.
15. Some Issues to be Addressed Lifetime Health Record (LHR)
Potential of LHR repository:
Surveillance
Registries
Early Warning Systems
Health Planning
Risk Projections
Population Health
- management of health risk factors
etc
16. Telehealth Platform to deliver various services:
Wellness, health promotion
Disease prevention individual, community
early warning systems
disease forecasting
Healthcare services
elearning
Health financing, insurance, etc.
20. Potential for early warning systems Immunisation rates:
countries, regions, districts
Australia:
- lack of knowledge of immunisation status of population, result in urgent steps to be taken when immunisation rate was estimated to be low.
21. Potential for early warning systems USA: estimated 46% of adult population (60 million)
functionally illiterate in dealing with health
?health literacy:
?levels of: mortality, morbidity, inequality, cost
Study (1997): poor literacy - x5 mistakes interpreting prescriptions
x2 visits to doctors
high literacy - ?mortality, morbidity,
inequality, cost
?health, well-being.
22. Potential for early warning systems Health risk management:
ˇ proactive management of wellness
ˇ early detection of disease
Health-testing ? identification of health risk factors
Pooling of health risk of individuals in the community
Health risks of the community
Intervention strategies at community/district levels, implemented by targeting individuals identified at risk.
23. Potential for early warning systems Disease reporting systems
Communicable disease reporting
electronic maps
New York City: SARS outbreak
Syndromic approach
Network of electronic health records
Web-crawler identified 3 individuals with symptoms consistent with SARS in 48 hours.
24. Potential for early warning systems Clinical practice
Monitoring of outcomes of clinical interventions
(QOC, functional status, clinical outcome)
Possible to identify trends of less than optimum results
by districts, hospitals, teams
In time, ability to project risk of particular intervention
(e.g. treatment to improve visual acuity, icu care,
cardiac surgery, etc).
25. Potential for early warning systems
Disease Registries
Disease electronic surveillance system
Patient safety
etc.
26. Challenge of Genomics & Health Information Systems
27. Challenge of Genomics & Health Information Systems
28. Health Information levels, systems, adaptation to genetic, genomic data