LARIISA
Laboratoire Application Réseaux Intelligence Intégration Santé
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
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
Governance Model for
Making Decision on Healt Care Systems
Denis (2005): A Framework for the Analysis of Governance in Health Care Organizations
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
Systemic Normative
Clinical and
Epidemiology
Administration
Share Management
INTELLIGENCE &
CONTEXT REASONING
TO
HEALTCARE
GOVERNANCE/
DECISION MAKING
Decision Making in
Systemic Normative
Decision Making in
Clinical and Epidemiology
Decision Making in
Administration
Decision Making in
Share Management
Andrade (2009): RIISO Project, Intelligence Governance for Decision Making
Conceptual models for LARIISA Framework
Contandrioulos, Denis and all (2001): Integration of Health Care: Dimensions and implementations
Conceptual models for LARIISA Framework
Karmouch (2008): Unified Platform Service Delivery
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.
LARISSA FRAMEWORK
Knowledge
Creation
Knowledge to Action Process (KAP)
Action Cycle (Application)
Tailoring
Knowledge
(Context-awareness)
…
Context-aware Service 1
Context-aware Service 2
Context-aware Service N
Adaptation - Query
Service
Adaptation
(Real-time
Information)
Context
Reasoning
Ontology
Base
Adaptation - Aggregation
Context Provider 1
Context Provider 2
…
Context Provider N
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
Systemic Normative
Clinical and
Epidemiology
Administration
Share Management
INTELLIGENCE &
CONTEXT REASONING
TO
HEALTCARE
GOVERNANCE/
DECISION MAKING
Decision Making in
Systemic Normative
Decision Making in
Clinical and Epidemiology
Decision Making in
Administration
Decision Making in
Share Management
Andrade (2009): RIISO Project, Intelligence Governance for Decision Making
LARISSA FRAMEWORK
Context-Aware Health Agent APPLICATION
Decision Making in Governance
Knowledge
Management
Systemic
Normative
Clinical
Governance
Administration
Shared
Management
Context-Aware Health’s Users
LARISSA FRAMEWORK
Decision
MakingApplication
Knowledge to Action Process (KAP)
Knowledge
Creation
(Context-awareness)
Context-aware Services
…
Context-aware Services
Action Cycle (Application)
Context-aware Services
Adaptation - Query
Service
Adaptation
Context
Reasoning
Ontology
Base
Adaptation - Aggregation
Context Provider 1
Context Provider 2
LARISSA framework v2.1
…
Context Provider N
LARISSA FRAMEWORK
KNOWLEDGE7)
TOPROPOSAL:
ACTION (KTA)
LARISSA FRAMEWORK
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
Service
Adaptation
Context
Reasoning
Ontology
Base
Adaptation - Aggregation
(Information for the
Knowledge Creation)
Context Provider 1
Context Provider 2
…
LARISSA framework v2.1
Context Provider N
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.
LARISSA FRAMEWORK
Context-Aware Health Agent APPLICATION
Decision Making in Governance
Knowledge
Management
APL1
Systemic
Normative
...
...
APL2
Clinical
Governance
Administration
Shared
Management
APLn
Ginga
Rede
Externa
API SO
MPEG - 4 HE-AAC@L4
MPEG - 4 HE-AAC@L3
H.264 [email protected]
H.264 [email protected]
CPU
Memória
RF in
Demodulador
Decod. do Canal
MPEG-2 System
D
ux
em
.
Dec. Vídeo
Dec. Áudio
IR
CR
Video out
VC
RF
RF out
Audio out
Audio
Surround
BST-OFDM
Digital Belt Infrastructure
Context-Aware Health’s Users
LARISSA FRAMEWORK
Decision Making
in Governance
Agent
Personalized
message
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.
Agent
Personalized
Information
LARISSA FRAMEWORK
Context-Aware Health
Agent APPLICATION
Decision Making
in Governance
Decision
MakingApplication
Context-Aware Health
Agent PERSONALIZATION
Context-aware Services
IF-THEN RULE-BASED APPROACH
Agent
Personalized
message
(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.
Agent
Personalized
Information
(5)
(2)
Context
Detection
CONTEXT CATEGORIES (Zhang and all.):
(1)
(2)
(3)
(4)
(5)
Personal Health Context : physiological and mental context
Environment Contex: temperature, light, humidity, noise, etc.
Task Context: goals, task, actions, activities, events, etc.
Spatio-temporal Context: time and location
Terminal Context: terminal type, interface, media supported, etc.
(3,4)
(1)
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
Systemic Normative
Clinical and
Epidemiology
Administration
Share Management
INTELLIGENCE &
CONTEXT REASONING
TO
HEALTCARE
GOVERNANCE/
DECISION MAKING
Decision Making in
Systemic Normative
Decision Making in
Clinical and Epidemiology
Decision Making in
Administration
Decision Making in
Share Management
Andrade (2009): RIISO Project, Intelligence Governance for Decision Making
LARISSA FRAMEWORK
Applying DENGUE Study Case to LARIISA
Decision Making in Knowledge Management
Decision: mapeamento de todos os profissionais da rede
Decision Making in Systemic Normative
capacitados para o caso, reforçando a formação e
Making in Clinical and Epidemiology
adequando-aDecision
ao contexto.
Decision: Reavaliar o valor e a aplicação das multas e
Rule: IF a quantidadeDecision
de profissionais
treinados
<Management
Making
in Share
sansões
preconizadas
na
Lei
8966
de
14
de
setembro
de
Decision:
Implantação da
Venosa
quantidade
de estabelecimentos
de Hidratação
saúde OR turnos
deem todas as
2005.unidades de Saúde
plantões em
hospitais
ouMobilização
Clínicas
THEN
contratar
KCivil
novos
Decision
Making
in Administration
Decision:
da
Sociedade
Organizada
profissionais e capacitar L profissionais em competências X,
Rule:Rule:
IF o depósito
dede
lixoreinfecção
não obedeceu
art M da lei
ANDcriar
é
IF há
caso
AND
epidemia
THEN
Y, Z
Decision:
Creating
an
Emergency
for
the
clinical
Rule:
IF multar
canteiro
de obras
pertence a um construção com
reincidente
THEN
e fechar
o para
estabelecimento
no
Posto
de
Saúde
condições
Hidratação
Venosa
Results: Mobilização
Sistema
Municipal
de
Saúde
management
of severe
cases
mais de do
X meses
AND
está
localizado
em(ER-SC)
uma área de
Escola e realocação
de recursos
entãohad
destinados
amore
outros
Rule:
IF0,5%
the patient
Dengue
than
infestação
>
esse
canteiro
deve
seronce
incluído na
Results:
Vários
depósitos
deTHEN
lixo foram
advertidos,
alguns
Results:
Melhoria
do
manejo
de
Casos
Graves
e
setores menosrelação
prioritários.
AND
lives
in an areapara
with monitoramento
high infestation indice
de
pontos
estratégicos
fechados
e
muitos
melhoraram
sensivelmente.
descongestionamento
dossymptoms
Hospitais.,A,B
invertendo
AND has
and C, o fluxo dos
atendimento do THEN
Hospital
para
o Posto dethe
Saúde. about this case
you
must
Results: Diminuição
em
X%consult
o índice deER-SC
infestação e
Results:
Fortaleza was
one of thecivil.
capitals with lower
reforçou
o envolvimento
da sociedade
mortality due to a series of actions, in special the
use of the rule above.
LARISSA FRAMEWORK
Applying DENGUE Study Case to LARIISA
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
Decision: Creating an Emergency
(ER) for the clinical management of
severe cases (ER-SC)
LARIISA
Laboratoire Application Réseaux Intelligence Intégration Santé
1) 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:
?