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Understanding barriers to medical instruction access for older adults: implications for AI-assisted tools

Authors:

Aqueasha Martin-HammondAuthors Info & Claims

UbiComp/ISWC '20 Adjunct: 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

Pages 42 - 45

https://doi.org/10.1145/3410530.3414412

Published: 12 September 2020 Publication History

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Abstract

Recalling 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.

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Karimi PBallard KVazirani PJorigay RMartin-Hammond A(2022)Designing Conversational Assistants to Support Older Adults’ Personal Health Record AccessPervasive Computing Technologies for Healthcare10.1007/978-3-030-99194-4_17(253-271)Online publication date: 23-Mar-2022
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Index Terms

Understanding barriers to medical instruction access for older adults: implications for AI-assisted tools
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
2. Social and professional topics
  1. User characteristics
    1. Age
      1. Seniors

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Information & Contributors

Information

Published In

September 2020

732 pages

ISBN:9781450380768

DOI:10.1145/3410530

General Chairs:
Monica Tentori
CICESE, Mexico
,
Nadir Weibel
UC San Diego
,
Kristof Van Laerhoven
University of Siegen, Germany
,
Program Chairs:
Gregory Abowd
Georgia Tech
,
Flora Salim
RMIT, Australia

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2020

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UbiComp/ISWC '20

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UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers

September 12 - 17, 2020

Virtual Event, Mexico

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

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Bondu MBaseman CArriaga RKostakos VKay JHoang T(2024)Accessible Design for Diabetic Foot Ulcer Self-Monitoring: Insights into mHealth Application DesignCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3677580(35-40)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3677580
He CHe LLu ZLi B(2023)Seeking Love and Companionship through Streaming: Unpacking Livestreamer-moderated Senior Matchmaking in ChinaProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581195(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581195
Karimi PBallard KVazirani PJorigay RMartin-Hammond A(2022)Designing Conversational Assistants to Support Older Adults’ Personal Health Record AccessPervasive Computing Technologies for Healthcare10.1007/978-3-030-99194-4_17(253-271)Online publication date: 23-Mar-2022
https://doi.org/10.1007/978-3-030-99194-4_17
Karimi PBora PMartin-Hammond AVazquez SDrake TAhmetovic DYaneva V(2021)ScribeProceedings of the 18th International Web for All Conference10.1145/3430263.3452420(1-11)Online publication date: 19-Apr-2021
https://dl.acm.org/doi/10.1145/3430263.3452420

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