Improving Patient and Caregiver Engagement Through the Application of Data Science Methods to Audio Recorded Clinic Visits Stored in Personal Health Libraries

Providing digital recordings of clinical visits to patients has emerged as a new strategy to promote patient and family engagement in care. With advances in natural language processing, an opportunity exists to maximize the value of visit recordings for patients by automatically annotate key visit information (e.g., medications, tests & imaging) with linkages to trustworthy online resources. These resources can be curated in an audio-based personal health library (PHL). In this project, the investigators will conduct a three-arm patient-randomized pilot trial in older adults with multimorbidity in ambulatory care settings to determine the feasibility, usability, and acceptability of an audio-based PHL developed with older adults and caregivers, HealthPAL. Participants in the intervention arms will receive access to an audio-based PHL with either 1) a clinic visit recording where key information is annotated and hyperlinks to trustworthy health information are provided (HealthPAL), 2) a clinic visit recording without annotations or hyperlinks, or 3) the third group of participants will receive usual care (control) with no recordings. Usability metrics and satisfaction will be assessed at two weeks. Preliminary data on the impact of HealthPAL on patient ability to seek, find and use health information with high confidence and patient activation, as well caregiver preparedness will also be gathered.