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Supporting Grounding with Objective Medication-taking Data

Supporting Grounding with Objective Medication-taking Data. Matthew L. Lee Philips Research Anind K. Dey Carnegie Mellon University. How would having objective account of medication-taking affect communication?. c losure switches. w ireless radio. accelerometer. microprocessor.

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Supporting Grounding with Objective Medication-taking Data

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  1. Supporting Grounding with Objective Medication-taking Data Matthew L. Lee Philips Research Anind K. Dey Carnegie Mellon University

  2. How would having objective account of medication-taking affect communication?

  3. closure switches wireless radio accelerometer microprocessor

  4. 14 older adults 10 months

  5. Presented data to six doctors Interviewed them about how these data would affect their practice Prompt: “If you the patient were sitting here right now, what would you say?”

  6. Age 66, F Diabetes Cancer Bipolar disease Participant E.S. “I see that her meds are pretty good, so I would talk to her more about her diet and sleep hygiene instead.” - PCP

  7. Age 55, F COPD Depression Participant S.K. “I was worried about her more psychologically than physically, but this shows me that she is paying attention and this matches what she tells me. ” - Geriatrician

  8. Age 70, M Cancer (brain) High cholesterol Participant E.N. “If I had this, I would have had my nurse give him a call and schedule an appointment to find out what’s going on.” – PCP “If I had the time to look at this, I would have asked him about it when he was in my office in December.” - Oncologist

  9. Objective sensor data can… • focus attention on the right behaviors • build trust (or distrust) in the patient’s self-reports • act as a trigger for the optimal level of contact • make the office encounter more collaborative

  10. Considerations for designing “data interventions” • Different stakeholders need different views of data • Timeliness of data is critical • Show data that is interpretable & actionable

  11. Supporting Grounding with Objective Medication-taking Data Matthew L. Lee Philips Research Anind K. Dey Carnegie Mellon University

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