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LARIISA Laboratoire Application Réseaux Intelligence Intégration Santé

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Presentation on theme: "LARIISA Laboratoire Application Réseaux Intelligence Intégration Santé"— Presentation transcript:

1 LARIISA Laboratoire Application Réseaux Intelligence Intégration Santé

2 LARIISA, a context-aware intelligent framework for a governance model supporting decision making in public health care system, based on theFramework for the Analysis of Governance in Health Care Organizations. LARIISA encompasses and integrates family context in a New Intelligent Public Health Information System. LARIISA is based on five intelligent management domains knowledge, normative, clinical-epidemiological, administrative and shared LARIISA framework uses three conceptual models: The Integration of Health Care, Knowledge To Action and Unified Service Delivery Platform.. LARIISA Laboratoire Application Réseaux Intelligence Intégration Santé LARIISA Applayed to the Digital Belt / Brazilian Digital TV

3 LARIISA Laboratoire Application Réseaux Intelligence Intégration Santé 1)APPROACH: Governance Model for Making Decision on Healt Care Systems - Denis: A Framework for the Analysis of Governance in Health Care Organizations 2) OBJECTIVE: New Intelligent Public Health Information System - Andrade: Intelligence & Context Reasoning to Health care Governance 3) CONCEPT 1: Conceptual models for LARIISA Framework - Contandrioulos, Denis and all: Integration of Health care 4) CONCEPT 2: Conceptual models for LARIISA Framework - Graham: Knowledge To Action 5) CONCEPT 3: Conceptual models for LARIISA Framework - karmouch: Unified Service Delivery Platform 6) CHALLENGE: Framework to LARIISA - Oliveira & Andrade and Al. 7) APPLICATION: LARIISA to Digital Belt / Brazilian DTV

4 Governance Model for Making Decision on Healt Care Systems Denis (2005): A Framework for the Analysis of Governance in Health Care Organizations

5 Andrade (2009): RIISO Project, Intelligence Governance for Decision Making GOVERNANCE SETTING Of INTEGRATED HEALTH SYSTEM INTELLIGENCE & CONTEXT REASONING TO HEALTCARE GOVERNANCE/ DECISION MAKING Knowledge Management Systemic Normative Clinical and Epidemiology Administration Share Management DECISION MAKING in INTEGRATED HEALTH SYSTEM Decision Making in Knowledge Management Decision Making in Systemic Normative Decision Making in Clinical and Epidemiology Decision Making in Administration Decision Making in Share Management New Intelligent Public Health Information System

6 Conceptual models for LARIISA Framework Contandrioulos, Denis and all (2001): Integration of Health Care: Dimensions and implementations

7 Conceptual models for LARIISA Framework Karmouch (2008): Unified Platform Service Delivery

8 Conceptual models for LARIISA Framework I.D.Graham, J.Logan, M.B. Harrison, S.E.Straus, J.Tetroe, W.Caswell, N.Robinson The Journal of Continuing Education in the Health Professions, Vol 26 N°1, 2006 – Wiley InterScience. Knowledege to Action for healthcare system

9 Knowledge Creation Knowledge to Action Process (KAP) Tailoring Knowledge Action Cycle (Application) Context-aware Service 1Context-aware Service 2Context-aware Service N … Ontology Base Service Adaptation Adaptation - Query Adaptation - Aggregation Context Provider 1Context Provider 2Context Provider N … Context Reasoning LARISSA FRAMEWORK (Real-time Information) (Context-awareness)

10 Andrade (2009): RIISO Project, Intelligence Governance for Decision Making GOVERNANCE SETTING Of INTEGRATED HEALTH SYSTEM INTELLIGENCE & CONTEXT REASONING TO HEALTCARE GOVERNANCE/ DECISION MAKING Knowledge Management Systemic Normative Clinical and Epidemiology Administration Share Management DECISION MAKING in INTEGRATED HEALTH SYSTEM Decision Making in Knowledge Management Decision Making in Systemic Normative Decision Making in Clinical and Epidemiology Decision Making in Administration Decision Making in Share Management New Intelligent Public Health Information System

11 LARISSA FRAMEWORK Context-Aware Healths Users Context-Aware Health Agent APPLICATION Decision Making in Governance Knowledge Management Systemic Normative Clinical Governance Administration Shared Management

12 … Ontology Base Service Adaptation Adaptation - Query Adaptation - Aggregation Context Provider 1Context Provider 2Context Provider N … Context Reasoning LARISSA FRAMEWORK (Context-awareness) Knowledge to Action Process (KAP) Action Cycle (Application) Knowledge Creation LARISSA framework v2.1 Context-aware Services Decision MakingApplication

13 7) PROPOSAL: LARISSA FRAMEWORK KNOWLEDGE TO ACTION (KTA) Knowledge Creation (Process) Decision Making in Governance LARISSA framework v2.1 (Information for the Knowledge Creation) Action Cycle (Application) LARISSA FRAMEWORK … Ontology Base Service Adaptation Adaptation - Query Adaptation - Aggregation Context Provider 1Context Provider 2Context Provider N … Context Reasoning Context-aware Services Systemic Normative Clinical and Epidemiology Administration Share Management Knowledge Management Context-aware Services

14 LARIISA, a context-aware intelligent framework for a governance model supporting decision making in public health care system. LARIISA encompasses and integrates family context in a New Intelligent Public Health Information System. LARIISA uses the middleware (GINGA) developed for the Brazilian Digital TV, which full access will be country-wide in LARISSA relies on a Digital Belt project, an Optical-WiMAX communication framework, which will reach 82% of urban population of Ceará State in Brazil. The LARIISA framework uses three conceptual models: The Integration of Health Care, Knowledge To Action and Unified Service Delivery Platform. LARIISA Applying on the Digital Belt and Brazilian DTV

15 LARISSA FRAMEWORK Digital Belt InfrastructureContext-Aware Healths Users Context-Aware Health Agent APPLICATION Decision Making in Governance Knowledge Management Systemic Normative Clinical Governance Administration Shared Management

16 LARISSA FRAMEWORK CONTEXT CATEGORIES (Zhang and all.): (1)Personal Health Context : physiological and mental context (2)Environment Contex: temperature, light, humidity, noise, etc. (3)Task Context: goals, task, actions, activities, events, etc. (4)Spatio-temporal Context: time and location (5)Terminal Context: terminal type, interface, media supported, etc. Agent Personalized message Agent Personalized Information Context Detection Decision Making in Governance

17 LARISSA FRAMEWORK CONTEXT CATEGORIES (Zhang and all.): (1)Personal Health Context : physiological and mental context (2)Environment Contex: temperature, light, humidity, noise, etc. (3)Task Context: goals, task, actions, activities, events, etc. (4)Spatio-temporal Context: time and location (5)Terminal Context: terminal type, interface, media supported, etc. (1) (2) (3,4) (5) Agent Personalized message Agent Personalized Information Context Detection IF-THEN RULE-BASED APPROACH (1) IF blood sugar exceeds a threshold, THEN should not take certain food. (2) IF the room is too dry, THEN turn on the humidity generator (3) IF the user is at lunch, THEN send the message later. (4) IF the user is not at office, THEN send the call to the mobile. (5) IF a PC is accessible, THEN present the message as video. Context-aware Services Context-Aware Health Agent APPLICATION Context-Aware Health Agent PERSONALIZATION Decision Making in Governance Decision MakingApplication

18 Andrade (2009): RIISO Project, Intelligence Governance for Decision Making GOVERNANCE SETTING Of INTEGRATED HEALTH SYSTEM INTELLIGENCE & CONTEXT REASONING TO HEALTCARE GOVERNANCE/ DECISION MAKING Knowledge Management Systemic Normative Clinical and Epidemiology Administration Share Management DECISION MAKING in INTEGRATED HEALTH SYSTEM Decision Making in Knowledge Management Decision Making in Systemic Normative Decision Making in Clinical and Epidemiology Decision Making in Administration Decision Making in Share Management New Intelligent Public Health Information System

19 LARISSA FRAMEWORK Applying DENGUE Study Case to LARIISA Decision Making in Knowledge Management Decision: mapeamento de todos os profissionais da rede capacitados para o caso, reforçando a formação e adequando-a ao contexto. Rule: IF a quantidade de profissionais treinados < quantidade de estabelecimentos de saúde OR turnos de plantões em hospitais ou Clínicas THEN contratar K novos profissionais e capacitar L profissionais em competências X, Y, Z Results: Mobilização do Sistema Municipal de Saúde Escola e realocação de recursos então destinados a outros setores menos prioritários. Decision Making in Systemic Normative Decision: Reavaliar o valor e a aplicação das multas e sansões preconizadas na Lei 8966 de 14 de setembro de Rule: IF o depósito de lixo não obedeceu art M da lei AND é reincidente THEN multar e fechar o estabelecimento Results: Vários depósitos de lixo foram advertidos, alguns fechados e muitos melhoraram sensivelmente. Decision Making in Clinical and Epidemiology Decision: Implantação da Hidratação Venosa em todas as unidades de Saúde Rule: IF há caso de reinfecção AND epidemia THEN criar no Posto de Saúde condições para Hidratação Venosa Results: Melhoria do manejo de Casos Graves e descongestionamento dos Hospitais., invertendo o fluxo dos atendimento do Hospital para o Posto de Saúde. Decision Making in Share Management Decision: Mobilização da Sociedade Civil Organizada Rule: IF canteiro de obras pertence a um construção com mais de X meses AND está localizado em uma área de infestação > 0,5% THEN esse canteiro deve ser incluído na relação de pontos estratégicos para monitoramento Results: Diminuição em X% o índice de infestação e reforçou o envolvimento da sociedade civil. Decision Making in Administration Decision: Creating an Emergency for the clinical management of severe cases (ER-SC) Rule: IF the patient had Dengue more than once AND lives in an area with high infestation indice AND has symptoms A,B and C, THEN you must consult the ER-SC about this case Results: Fortaleza was one of the capitals with lower mortality due to a series of actions, in special the use of the rule above.

20 LARISSA FRAMEWORK Applying DENGUE Study Case to LARIISA Administration Case Decision Making in Administration IF the patient had Dengue more than once AND lives in an area with high infestation indice AND has symptoms A,B and C, THEN you must consult the ER-SC about this case Results: Fortaleza was one of the capitals with lower mortality due to a series of actions, in special the use of the rule above Decision: Creating an Emergency (ER) for the clinical management of severe cases (ER-SC)

21 LARIISA Laboratoire Application Réseaux Intelligence Intégration Santé 1)RECHERCHE: La création dun axe de recherche multicentric. - Actions: ? 2) COOPERATION: Formulation dun projet de colaboration international entre les partenaires existents et doutres. - Actions: ? 3) PRODUIT: Business Plan pour la fabrication dun produit Health Care. - Actions: ?


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