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E health opportunities monguet oct 2014 vilnius

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eHealth opportunities
ICT and health

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E health opportunities monguet oct 2014 vilnius

  1. 1. EHealthopportunities Josep Mª Monguet / Vilnius, Oct 28th 2014. jm.monguet@upc.edu http://thepracticeofinnovation.net thepracticeofinnovation.net eHealth Opportunities
  2. 2. EHealthopportunities Data/Time/Space Management Augmented Learning services communities Accelerated Collective Knowledge intelligence Health land thepracticeofinnovation.net eHealth Opportunities
  3. 3. Data/Time/Space Management Health land Ehealth opportunities Augmented Learning services communities Accelerated Collective Knowledge intelligence thepracticeofinnovation.net eHealth Opportunities
  4. 4. Health land Expenditure Inefficiencies thepracticeofinnovation.net eHealth Opportunities
  5. 5. Health land expenditure OECD average 2000 2010 18 16 14 12 10 8 6 4 2 0 % of GDP OECD Health Data 2013 thepracticeofinnovation.net eHealth Opportunities
  6. 6. Health land expenditure 1 2 3 4 5 6 7 0 CC (no chronic conditions ) 8 CC 0 10 20 30 40 50 60 70 80 +85 100 75 50 25 0 % of people by age Data for Southampton city 2012 thepracticeofinnovation.net eHealth Opportunities
  7. 7. Health land expenditure 100 90 80 70 60 50 40 30 20 1850 1900 1950 2000 2050 Life expentancy OECD Health Data 2013 thepracticeofinnovation.net eHealth Opportunities
  8. 8. 30% of health spending is intended to be ineffective or unnecessary care, resulting from the impact of medical errors & redundancy procedures* inefficiencies Health land * Elliott Fisher & John E. Wennberg thepracticeofinnovation.net eHealth Opportunities
  9. 9. Ehealth opportunities Augmented Learning services communities Data/Time/Space Management Health land Accelerated Collective Knowledge intelligence thepracticeofinnovation.net eHealth Opportunities
  10. 10. DTS management Adena Regional Medical Center distances thepracticeofinnovation.net eHealth Opportunities
  11. 11. DTS management TRHLAB time thepracticeofinnovation.net eHealth Opportunities
  12. 12. DTS management ubiquity thepracticeofinnovation.net eHealth Opportunities
  13. 13. DTS management not enough thepracticeofinnovation.net eHealth Opportunities
  14. 14. Ehealth opportunities Augmented Learning services communities Data/Time/Space Management Health land Accelerated Collective Knowledge intelligence thepracticeofinnovation.net eHealth Opportunities
  15. 15. Augmented services Monitoring “your pill is watching you“ thepracticeofinnovation.net eHealth Opportunities
  16. 16. Augmented services Integrating user therapist Primary care families eTona 2008 thepracticeofinnovation.net eHealth Opportunities
  17. 17. eHealth Opportunities Learning communities Augmented services Data/Time/Space Management Health land Accelerated Collective Knowledge intelligence thepracticeofinnovation.net eHealth Opportunities
  18. 18. Learning communities sharing e-fer. IPL / UPC 2008 thepracticeofinnovation.net eHealth Opportunities
  19. 19. Learning communities participating TRHLAB. Living Learning Community for Spasticity thepracticeofinnovation.net eHealth Opportunities
  20. 20. eHealth Opportunities Augmented Learning services communities Data/Time/Space Management Health land Accelerated Collective Knowledge intelligence thepracticeofinnovation.net eHealth Opportunities
  21. 21. Accelerated knowledge GDP World Patenet filling Global Patent. Andrei Ionescu production thepracticeofinnovation.net eHealth Opportunities
  22. 22. eHealth Opportunities Augmented Learning services communities Data/Time/Space Management Health land Accelerated Collective Knowledge intelligence thepracticeofinnovation.net eHealth Opportunities
  23. 23. Collective intelligence networks thepracticeofinnovation.net eHealth Opportunities
  24. 24. Collective intelligence big data Detecting influenza epidemics using search engine query data. Google & C. Disease Control & Prevention. Nature 2009 thepracticeofinnovation.net eHealth Opportunities
  25. 25. Collective intelligence sharing thepracticeofinnovation.net eHealth Opportunities
  26. 26. Collective intelligence brilliant thepracticeofinnovation.net eHealth Opportunities
  27. 27. Collective intelligence Applications & modalities thepracticeofinnovation.net eHealth Opportunities
  28. 28. Collaborative design of health models Case Selection of chronic care indicators thepracticeofinnovation.net eHealth Opportunities
  29. 29. Selection of chronic care Indicators 1 Model Revision of the proposed model of indicators 2 Profile Personal experience and knowledge 3 Round Votes and opinions for consensus 4 Evaluation Usability and utility of the consensus thepracticeofinnovation.net eHealth Opportunities
  30. 30. Selection of chronic care Indicators We ask you to answer for each indicator the questions proposed. 1/36 % of patients enrolled in “Adherence to the pharmacological treatment” Program Which is the level of relevance of this indicator Low High 1 2 3 4 5 6 Capacity to calculate affectively this indicator? 1 2 3 4 5 6 Very limited Feasible Is this indicator important for the patient? Not at all To much 1 2 3 4 5 6 thepracticeofinnovation.net eHealth Opportunities
  31. 31. N: 37 1 2 3 4 5 6 Selection of chronic care Indicators We ask you to answer for each indicator the questions proposed. 1/36 % of patients enrolled in “Adherence to the pharmacological treatment” Program Which is the level of relevance of this indicator Low High 1 2 3 4 5 6 Capacity to calculate affectively this indicator? 1 2 3 4 5 6 Very limited Feasible Is this indicator important for the patient? 1 2 3 4 5 6 Not at all To much thepracticeofinnovation.net eHealth Opportunities
  32. 32. N: 37 1 2 3 4 5 6 Selection of chronic care Indicators We ask you to answer for each indicator the questions proposed. 1/36 % of patients enrolled in “Adherence to the pharmacological treatment” Program Which is the level of relevance of this indicator Low High 1 2 3 4 5 6 Capacity to calculate affectively this indicator? 1 2 3 4 5 6 Very limited Feasible Is this indicator important for the patient? Not at all To much 1 2 3 4 5 6 N: 37 1 2 3 4 5 6 thepracticeofinnovation.net eHealth Opportunities
  33. 33. N: 37 1 2 3 4 5 6 Selection of chronic care Indicators We ask you to answer for each indicator the questions proposed. 1/36 % of patients enrolled in “Adherence to the pharmacological treatment” Program Which is the level of relevance of this indicator Low High 1 2 3 4 5 6 Capacity to calculate affectively this indicator? 1 2 3 4 5 6 Very limited Feasible Is this indicator important for the patient? Not at all To much 1 2 3 4 5 6 N: 37 1 2 3 4 5 6 N: 37 1 2 3 4 5 6 thepracticeofinnovation.net eHealth Opportunities
  34. 34. Selection of chronic care Indicators Clinic Management Planning Weighting of your answers according to your personal profile of knowledge and experience Clinic Management Planning 1 2 3 1 2 3 1 2 3 thepracticeofinnovation.net eHealth Opportunities
  35. 35. Selection of chronic care Indicators Meta results Communicating chronic management strategy (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. thepracticeofinnovation.net eHealth Opportunities
  36. 36. Selection of chronic care Indicators Publication Paper in press … thepracticeofinnovation.net eHealth Opportunities
  37. 37. Collaborative design of health models Innovation participative space Case Primary Care Innovation thepracticeofinnovation.net eHealth Opportunities
  38. 38. Primary Care Innovation thepracticeofinnovation.net eHealth Opportunities
  39. 39. Primary Care Innovation thepracticeofinnovation.net eHealth Opportunities
  40. 40. Collaborative design of health models Innovation participative space Consensus on clinical cases. Case Training on mental health thepracticeofinnovation.net eHealth Opportunities
  41. 41. Training on mental health thepracticeofinnovation.net eHealth Opportunities
  42. 42. Training on mental health thepracticeofinnovation.net eHealth Opportunities
  43. 43. Methods of application Delphi Express Continuous thepracticeofinnovation.net eHealth Opportunities
  44. 44. 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. thepracticeofinnovation.net eHealth Opportunities

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