Understanding Barriers to Medical Instruction Access for Older Adults: Implications for AI-Assisted Tools

dc.contributor.authorKarimi, Pegah
dc.contributor.authorMartin-Hammond, Aqueasha
dc.contributor.departmentHuman-Centered Computing, School of Informatics and Computingen_US
dc.date.accessioned2022-01-24T20:27:59Z
dc.date.available2022-01-24T20:27:59Z
dc.date.issued2020-09
dc.description.abstractRecalling medical instructions provided during a doctor's visit can be difficult due to access barriers, primarily for older adults who visit doctors multiple times per year and rely on their memory to act on doctor's recommendations. There are several interventions that aid patients in recalling information after doctors' visits; however, some have been proven ineffective, and those that are effective can present additional challenges for older adults. In this paper, we explore the challenges that older adults with chronic illnesses face when collecting and recalling medical instructions from multiple doctors' visits and discuss implications for AI-assisted tools to enable older adults better access medical instructions. We interviewed 12 older adults to understand their strategies for gathering and recalling information, the challenges they face, and their opinions about automatic transcription of their conversations with doctors to help them recall information after a visit. We found that participants face accessibility challenges such as hearing information and recalling medical instructions that require additional time or follow-up with the doctor. Therefore, patients saw potential value for a tool that automatically transcribes and helps with recall of medical instructions, but desired additional features to summarize, categorize, and highlight critical information from the conversations with their doctors.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationKarimi, P., & Martin-Hammond, A. (2020). Understanding barriers to medical instruction access for older adults: Implications for AI-assisted tools. Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 42–45. https://doi.org/10.1145/3410530.3414412en_US
dc.identifier.urihttps://hdl.handle.net/1805/27561
dc.language.isoenen_US
dc.publisherACMen_US
dc.relation.isversionof10.1145/3410530.3414412en_US
dc.relation.journalProceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computingen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectpatient-physician communicationen_US
dc.subjectrecallen_US
dc.subjectAIen_US
dc.subjectolder adultsen_US
dc.titleUnderstanding Barriers to Medical Instruction Access for Older Adults: Implications for AI-Assisted Toolsen_US
dc.typeConference proceedingsen_US
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