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A. Weiler



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    OS27 - Disrupting Technology into the Next Decade (ID 43)

    • Event: e-Health 2018 Virtual Meeting
    • Type: Oral Session
    • Track: Technical/Interoperability
    • Presentations: 1
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      OS27.03 - The Power of Patient/Provider Messaging: From Human to AI (ID 232)

      A. Weiler, Wellpepper, Inc; Seattle/US

      • Abstract
      • Slides

      Purpose/Objectives: Patients love being able to message with their providers, and messaging between in-clinic visits can improve adherence and outcomes. However, many providers are concerned about the extra time that may be associated with patient messaging. This session explores best practices for managing remote patients and driving adherence based two clinical studies of interactive care plans, with people with Parkinson's disease and for seniors at risk of falls. In both studies, patients were accessed in person, and then assigned a personalized mobile care plan, that included the ability to message remotely with a care provider. Providers used this communication and also analysis of patient-reported outcomes to advance the care plans without in-person visits, and improve patient adherence remotely. We will also explore insights from machine learning classification applied to over 80,000 messages between patients and providers, and discuss how artificial intelligence when combined with caregiver interactions can be used to scale care. The session will debunk common myths about patient messaging, and show an opportunity that combines both technology and a human touch.

      Methodology/Approach: Study protocol for Falls Study: https://bmcgeriatr.biomedcentral.com/articles/10.1186/s12877-017-0618-x Study Protocol for Parkinson's Study: screen shot 2017-10-19 at 7.19.31 pm.png Study goals -Provide safe and challenging exercise intervention via mobile -Enable patient and provider messaging -Decrease in-person patient visits without impacting outcomes Methodology for ML message classifer: -Trained on 80,000 patient provider messages and keywords that may indicate adverse event -Initial input, manual classification of messages into categories of "informational, questions, urgent"

      Finding/Results: Findings are still being collected for REACH study and will be presented at ACRM at end of October 2017. Initial indicators are positive. Patients in the Parkinson's study were 81% adherent to their care plan and reported 9/10 patient satisfaction with the program. Lower activated patients saw 2 times greater increase in activity with mobile intervention than those in control group. Analysis of 80,000 patient messages, 70% informational, 28% questions, and 2% urgents. Benefits of patient messaging can outweigh the perceived costs. Note that we expect to have further analysis of messaging, and the outcomes from the REACH study available to present by the conference in May 2018.

      Conclusion/Implications/Recommendations: This session explores both qualitative feedback from remote messaging, and compare messaging styles to the theoretical framework for behavior change, and identify how messaging and adherence to interactive care plans fulfill the targets of self-efficacy, outcome expectations, motivation, knowledge, and social persuasion. Digital interventions that connect patients with providers outside the clinic can have positive impact on patient outcomes, without increasing the costs of care. Patients can benefit from remote interactions with providers, and these can either replace other forms of communication.

      140 Character Summary: Patient and provider communication backed by machine learning can improve patient outcomes and satisfaction, without increasing costs of care.

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