23 setembre 2014 fundacio idiap jordi gol health consensus reduced

Health &
Collective Intelligence
Health & Collective Intelligence
Tino Martí, Josep Mª Monguet , Alex Trejo
23 de setembre de 2014 a IDIAP Jordi Gol
jm.monguet@upc.edu
thepracticeofinnovation.net

Summary
Collective intelligence in the context of health
The “Health Consensus” system.
• Fields of applications
• Models & methodologies

Knowledge approach to CI
Tacit Knowledge
Explicit knowledge
i
i
i i g
i
i
i
i
i
o
g
g
g o
g
g
Socialization
Externalisation
Internalisation combination
The Modes of Conversion – SECI Model (Nonaka,1994)

Applications and modalities
Health Consensus is a system developed by Onsanity Solutions
based on the research done at UPC.
The research project began in 2006 when the original idea was applied to "design research“
thepracticeofinnovation.net

Participative assessment
Case
Assessment of the CAT Health Plan 2011 -15

Participants
3.616
Health professions
18

Question - example
Respecte al nivell
de detecció de
necessitats de salut
comunitària:
Level of detection of health
community needs.
On som avui?
Current
On serem al
2015?
Expected in 2015
On podríem ser
al 2015?
Potential in 2015

On som avui?
Current
On serem al
2015?
Expected in 2015
On podríem ser
al 2015?
Potential in 2015
Question - example
Respecte al nivell
de detecció de
necessitats de salut
comunitària:
Level of detection of health
community needs.

Avui 2015
On som On serem On podem ser
1 2 3 4 5 6
PRONÒSTIC
HORITZÓ POTENCIAL
RECORREGUT

Publication
Paper persented at the … Collective Intelligence MIT Boston 2014
Link

Collaborative design of models
Case
Selection of chronic care indicators
Programa de Prevenció i Atenció a la Cronicitat

Health Consensus
215 85 52 36 18
Selection of chronic care Indicators
100 25 96 415
Rounds
Indicators
Participants
Meetings
& Focus g.
Pilot
1st
Round
2o
Round
First
Approach
Consensus
Express
Asynchronous
Consensus
Initial number of
indicators
Relevant and feasible indicators
obtained by consensus

Meta results
Communicating the strategy chronic (Learning)
Alignment of the system via consensus (Decision Making)
Collaboration for the establishment of priority indicators.
Broad participation of healthcare professionals in identifying
needs and opportunities

Publication
Paper in press …

Innovation participative space
Case
Primary Care Innovation

Primary Care Innovation

Consensus on clinical cases.
Case
Training on mental health

Training on mental health

Methods of application
Delphi Express Continuous

Model
agreement
Stratification of
agreement by
attributes of
participants
Delphi Health Consensus
Components
& Structure of
the model
Based on a set
of Drivers
Presented as lists
of Questions
Rounds of participation
to assess the model
Answering
assessing
Weighting
Self
People participating in consensus
Understanding
the Model
Deciding &/or
concluding about
the model
1 2 n
2 1
3
Leading team
pi participants in each round

Express Health Consensus
Case type:
- One or two days
- Shared construct
definition
- Open online consensus
and discussion
- Direct publication of
results on a blog.

Express Health Consensus
The management
and the
understanding of
people in a team
depends in great
part on how well
one knows weakness
and strong points of
each other.

Continuous Health Consensus
Stable users of a real time data
system provided by people.
Territorial distribution of users.
Users introducing new questions
with certain periodicity.
Frequently updated measures,
opinions or perceptions about
any relevant aspect.
Real time consensus visualization

“Guesscore”
This graphic
shows how good
or bad is the
assessment I do
of he projects
reviewed in the
class in relation
to the scores of
expert and
average of group
Practice number 1 2 3 4 5 6
(Me - Expert) 1,1 1,2 0,6 0,4 0,6 0,3
(My Group - Expert) 1,4 1,5 0,5 0,9 0,4 0,6
(Big Group - Exert) 1,3 0,9 0,4 0,6 0,3 0,9

Conclusions
1. In the health area, professionals respond
positively to the model of HC participation
2. The HC process is efficient and operational as
shown by satisfaction levels and perception of
involvement.
3. Professionals perceive that they provide value with
their participation.
4. The results of participation are considered
useful and relevant contributions.

Conclusions
Contributing to health system challenges:
• Improve the management of the system
• Validation of clinical practices
• Efficient use and meaning of information
• Integration of health services
• Efficiency of treatment
• Facilitate the adoption of innovation
• Doctor-patient relationship

Real Time
Delphi
Participation
Decision making
Collaboration
Learning
Consensus

Thank you

Health &
Collective Intelligence
Tino Martí, Josep Mª Monguet , Alex Trejo
jm.monguet@upc.edu

23 setembre 2014 fundacio idiap jordi gol health consensus reduced

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23 setembre 2014 fundacio idiap jordi gol health consensus reduced

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