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23 setembre 2014 fundacio idiap jordi gol health consensus reduced

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Presentation of Health Consensus

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23 setembre 2014 fundacio idiap jordi gol health consensus reduced

  1. 1. 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
  2. 2. Health & Collective Intelligence Summary Collective intelligence in the context of health The “Health Consensus” system. • Fields of applications • Models & methodologies
  3. 3. Health & Collective Intelligence 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)
  4. 4. Applications and modalities Health Consensus is a system developed by Onsanity Solutions Health & Collective Intelligence based on the research done at UPC. The research project began in 2006 when the original idea was applied to "design research“ thepracticeofinnovation.net
  5. 5. Participative assessment Health & Collective Intelligence Case Assessment of the CAT Health Plan 2011 -15
  6. 6. Participants 3.616 Health professions 18 Health & Collective Intelligence Assessment of the CAT Health Plan 2011 -15
  7. 7. Health & Collective Intelligence Assessment of the CAT Health Plan 2011 -15 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
  8. 8. Health & Collective Intelligence Assessment of the CAT Health Plan 2011 -15 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.
  9. 9. Assessment of the CAT Health Plan 2011 -15 Avui 2015 On som On serem On podem ser 1 2 3 4 5 6 Health & Collective Intelligence PRONÒSTIC HORITZÓ POTENCIAL RECORREGUT
  10. 10. Publication Paper persented at the … Collective Intelligence MIT Boston 2014 Link Health & Collective Intelligence Assessment of the CAT Health Plan 2011 -15
  11. 11. Collaborative design of models Health & Collective Intelligence Case Selection of chronic care indicators Programa de Prevenció i Atenció a la Cronicitat
  12. 12. Health Consensus 215 85 52 36 18 Health & Collective Intelligence 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
  13. 13. Health & Collective Intelligence Selection of chronic care Indicators
  14. 14. Health & Collective Intelligence Selection of chronic care Indicators
  15. 15. Health & Collective Intelligence Selection of chronic care Indicators
  16. 16. Health & Collective Intelligence Selection of chronic care Indicators
  17. 17. Health & Collective Intelligence Selection of chronic care Indicators
  18. 18. Health & Collective Intelligence Selection of chronic care Indicators
  19. 19. Health & Collective Intelligence Selection of chronic care Indicators 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
  20. 20. Health & Collective Intelligence Selection of chronic care Indicators Publication Paper in press …
  21. 21. Innovation participative space Health & Collective Intelligence Case Primary Care Innovation
  22. 22. Health & Collective Intelligence Primary Care Innovation
  23. 23. Health & Collective Intelligence Primary Care Innovation
  24. 24. Health & Collective Intelligence Primary Care Innovation
  25. 25. Health & Collective Intelligence Primary Care Innovation
  26. 26. Health & Collective Intelligence Primary Care Innovation
  27. 27. Consensus on clinical cases. Health & Collective Intelligence Case Training on mental health
  28. 28. Health & Collective Intelligence Training on mental health
  29. 29. Health & Collective Intelligence Training on mental health
  30. 30. Health & Collective Intelligence Training on mental health
  31. 31. Methods of application Delphi Express Continuous Health & Collective Intelligence
  32. 32. Model agreement Stratification of agreement by attributes of participants Health & Collective Intelligence Methods of application 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
  33. 33. Health & Collective Intelligence Methods of application Express Health Consensus Case type: - One or two days - Shared construct definition - Open online consensus and discussion - Direct publication of results on a blog.
  34. 34. Health & Collective Intelligence Methods of application 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.
  35. 35. Health & Collective Intelligence Methods of application 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
  36. 36. Health & Collective Intelligence Methods of application Continuous Health Consensus
  37. 37. Health & Collective Intelligence Methods of application Continuous Health Consensus “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
  38. 38. Health & Collective Intelligence 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.
  39. 39. Health & Collective Intelligence 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
  40. 40. Health & Collective Intelligence Real Time Delphi Participation Decision making Collaboration Learning Consensus
  41. 41. Health & Collective Intelligence Thank you
  42. 42. Health & Collective Intelligence Health & Collective Intelligence Tino Martí, Josep Mª Monguet , Alex Trejo jm.monguet@upc.edu

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