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LAR II SA Laboratoire Application Réseaux Intelligence Intégration Santé

LAR II SA Laboratoire Application Réseaux Intelligence Intégration Santé. LARI I SA Laboratoire Application Réseaux Intelligence Intégration Santé.

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LAR II SA Laboratoire Application Réseaux Intelligence Intégration Santé

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  1. LARIISA Laboratoire Application Réseaux Intelligence Intégration Santé

  2. LARIISA Laboratoire Application Réseaux Intelligence Intégration Santé LARIISA, a context-aware intelligent framework for a governance model supporting decision making in public health care system, based on the “Framework 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 Applayed to the Digital Belt / Brazilian Digital TV

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

  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 Knowledege to Action for healthcare system 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.

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

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

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

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

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

  14. LARIISA Applying on the Digital Belt and Brazilian DTV 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. The LARIISA framework uses three conceptual models: The Integration of Health Care, Knowledge To Action and Unified Service Delivery Platform. LARIISA uses the middleware (GINGA) developed for the Brazilian Digital TV, which full access will be country-wide in 2015. LARISSA relies on a Digital Belt project, an Optical-WiMAX communication framework, which will reach 82% of urban population of Ceará State in Brazil.

  15. LARISSA FRAMEWORK Context-Aware Health Agent APPLICATION Decision Making in Governance Shared Management Knowledge Management Systemic Normative Clinical Governance Administration Digital Belt Infrastructure Context-Aware Health’s Users

  16. LARISSA FRAMEWORK Decision Making in Governance Agent Personalized message Agent Personalized Information Context Detection 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.

  17. LARISSA FRAMEWORK Context-Aware Health Agent APPLICATION Decision Making in Governance Decision MakingApplication Context-Aware Health Agent PERSONALIZATION Context-aware Services Agent Personalized message Agent Personalized Information (3,4) • IF-THEN RULE-BASED APPROACH • IF blood sugar exceeds a threshold, THEN should not take certain food. • IF the room is too dry, THEN turn on the humidity generator • IF the user is at lunch, THEN send the message later. • 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. (5) (2) Context Detection 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)

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

  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 2005. • 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 • Decision: Creating an Emergency (ER) for the clinical management of severe cases (ER-SC) Decision Making in Administration Administration Case • 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

  21. LARIISALaboratoire Application Réseaux Intelligence Intégration Santé • RECHERCHE: La création d’un axe de recherche multicentric. • - Actions: ? 2) COOPERATION: Formulation d’un projet de colaboration international entre les partenaires existents et d’outres. - Actions: ? 3) PRODUIT: Business Plan pour la fabrication d’un produit Health Care. - Actions: ?

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