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Similaire à EIT/ACM SIGCHI Summer School 2017
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EIT/ACM SIGCHI Summer School 2017
- 1. 2017 EIT Health/ACM SIGCHI Summer School Partners Dorota Filipczuk, University of Southampton Clair Kelly, IPPOSI Gillian O’Neill, University College Dublin Beth J. Bollinger, University of Washington Stefanie Broes, KU Leuven Kathleen Ryan, University College Cork Experts Kristen Miller, MedStar Health Ryan Arnold, MedStar Health
- 2. Background Clinical decision making clinician Patient Traditional Health Summer School ‘17
- 4. She is totally lying…. Hmm…forgot on Saturday …and Monday …and Thursday Medication compliance..
- 8. Background Improved informed clinical decision making? clinician Patient Today Health Summer School ‘17
- 14. Health Summer School ‘17 What do we propose? clinician Patient Tomorrow Improved informed clinical decision making
- 15. User-centered process Vision and business plan UCSD Construct and deploy Implementation strategy User needs and requirement analysis interviews Design for usability by prototyping Evaluation in use context Feedback plan Iterative design process Based on Key principles for user-centred systems design, Gulliksen J, 2003 Health Summer School ‘17
- 16. Specific methods used - Learn: Activity Analysis - Look: Day in the Life - Ask: Surveys & Questionnaires - Try: Quick-and-dirty prototyping Health Summer School ‘17
- 17. Connected Health Patient Dashboard
- 18. “Widgets” Physical Activity Nutrition Sleep Mental Health Stress, Anxiety, Mood Women’s Health Social Well-being Home Violence Medical Adherence Illicit Drug Use
- 19. Evaluation Strategy Outcome measures of Success for Usable and Effective Clinical Decision Support Health Summer School ‘17 Proximal Outcomes DISTAL OUTCOMES Mix of objective and subjective measures Usability Acceptability Quality of encounter Appointment efficiency Satisfaction with provision of care Mix of objective and subjective measures Clinician decision making Patient health
- 20. Selection of participants Self-mon App+ Self-mon App- Control App+ Control App- - Data collection - Analysis - outcomes Self-mon Control Randomization Randomization Evaluation Strategy Health Summer School ‘17
- 21. Ideal Scenario • Jenny’s Doctor now has access to her lifestyle information • He sees issues with her diet and exercise • He then focuses the consultation towards lifestyle choices • He doesn’t increase Jenny’s medication on this occasion
- 22. Thank you Dorota, Clair, Gillian, Beth, Stefanie, Kathleen, Kristen, Ryan
- 23. Security and privacy, diverging data standards, artificial intelligence techniques… Challenges Technical Informed consent, data protection, liability, cross-border healthcare, non-discrimination… Divergent patient population (diabilities, elderly, children…)... Informed consent, trust, autonomy, privacy, dignity, ownership… Legal HCI Ethical Health Summer School ‘17
- 24. Scoping the market • Medical errors in prescription and medication dosing were named the third leading cause of death in the US in 2013 • In 2008, medical errors cost the United States $19.5 billion1 • Giving clinicians access to the right information at the right time through evidence-based clinical decision support can prevent these errors and reduce instances of patient harm 1 The economics of health care quality and medical errors, Andel C., J Healthcare Finance, 2012 Health Summer School ‘17
Notes de l'éditeur
- 58% of people have downloaded a health-related app and 41% have downloaded more than 5. This can track health data actively and passively. This is an untapped resource by the clionician. We propose to facilitate medical consul,tations by developing a platform to automatically integrate health lifestyle information thaqt the clinician has access to.
- 58% of people have downloaded a health-related app and 41% have downloaded more than 5. This can track health data actively and passively. This is an untapped resource by the clionician. We propose to facilitate medical consul,tations by developing a platform to automatically integrate health lifestyle informati
- Stakeholders: both patients and clinicians Find out about current experiences Surveys and questionnaires with patients to find out about their health-related app use Clinicians: perceptions of the clinical exchange and also Quick and dirty prototyping
- To be taken into account for the design