What do individuals with visual impairment need and want from a dialogue-based digital assistant?

Taylor, John; Subramanian, Ahalya; Freitas, André; Ferreira, Deborah; Dickinson, Christine

doi:10.1080/08164622.2022.2159791

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…The availability of affordable translation and support services, and the provision of adequate appointment durations, inevitably incurs costs that are balanced with broader considerations about health economics, sustainable healthcare models and changing demographics 70–72 . Recent advances in digital healthcare, such as dialogue‐based digital assistants and generative artificial intelligence, also present as promising considerations 73,74 …”

Section: Discussionmentioning

confidence: 99%

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Effective health communication for age‐related macular degeneration: An exploratory qualitative study

Wang

Kalloniatis

2023

Ophthalmic Physiologic Optic

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PurposeAge‐related macular degeneration (AMD) is a major cause of vision loss globally. Patients with AMD may not always understand or retain the information about AMD communicated by their eyecare practitioner. This study aims to explore the characteristics of effective health communication for AMD, from both patients' and eyecare practitioners' perspectives. The purpose is to provide a foundation for understanding how health communication for AMD could potentially be improved in the future.MethodsA total of 10 focus groups involving 17 patients with AMD and 17 optometrists were conducted via web conferencing. Each session was audio‐recorded, transcribed and analysed using the Grounded Theory Methodology.ResultsThe five themes identified are as follows: (1) materials' quality, (2) materials' relevance, (3) contextualising for the individual, (4) contextualising for the disease and (5) support network. Participants expressed concern about the unrealistic yet common depiction of vision loss in AMD as a black patch overlying common visual scenes. They also preferred education materials tailored to a specific disease stage and the regular opportunity to ask or answer questions. Longer appointment durations and peer support (from family, friends or others with AMD) were also valued.ConclusionOptometrists are encouraged to focus on three over‐arching dimensions when counselling patients with AMD in routine clinical practice: (1) curating and using disease and stage‐specific, impactful education materials, (2) their chairside verbal communication techniques and (3) AMD‐specific opportunities for care coordination among patient family and friends, peers and other multidisciplinary members of the care support team.

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Section: Discussionmentioning

confidence: 99%

“…[70][71][72] Recent advances in digital healthcare, such as dialoguebased digital assistants and generative artificial intelligence, also present as promising considerations. 73,74…”

Section: Care Coordinationmentioning

confidence: 99%

Effective health communication for age‐related macular degeneration: An exploratory qualitative study

Wang

Kalloniatis

2023

Ophthalmic Physiologic Optic

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Will artificial intelligence render optometrists redundant?

Efron

2023

Clinical and Experimental Optometry

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Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review

Laymouna,

Ma,

Lessard

et al. 2024

J Med Internet Res

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Background Chatbots, or conversational agents, have emerged as significant tools in health care, driven by advancements in artificial intelligence and digital technology. These programs are designed to simulate human conversations, addressing various health care needs. However, no comprehensive synthesis of health care chatbots’ roles, users, benefits, and limitations is available to inform future research and application in the field. Objective This review aims to describe health care chatbots’ characteristics, focusing on their diverse roles in the health care pathway, user groups, benefits, and limitations. Methods A rapid review of published literature from 2017 to 2023 was performed with a search strategy developed in collaboration with a health sciences librarian and implemented in the MEDLINE and Embase databases. Primary research studies reporting on chatbot roles or benefits in health care were included. Two reviewers dual-screened the search results. Extracted data on chatbot roles, users, benefits, and limitations were subjected to content analysis. Results The review categorized chatbot roles into 2 themes: delivery of remote health services, including patient support, care management, education, skills building, and health behavior promotion, and provision of administrative assistance to health care providers. User groups spanned across patients with chronic conditions as well as patients with cancer; individuals focused on lifestyle improvements; and various demographic groups such as women, families, and older adults. Professionals and students in health care also emerged as significant users, alongside groups seeking mental health support, behavioral change, and educational enhancement. The benefits of health care chatbots were also classified into 2 themes: improvement of health care quality and efficiency and cost-effectiveness in health care delivery. The identified limitations encompassed ethical challenges, medicolegal and safety concerns, technical difficulties, user experience issues, and societal and economic impacts. Conclusions Health care chatbots offer a wide spectrum of applications, potentially impacting various aspects of health care. While they are promising tools for improving health care efficiency and quality, their integration into the health care system must be approached with consideration of their limitations to ensure optimal, safe, and equitable use.

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What do individuals with visual impairment need and want from a dialogue-based digital assistant?

Cited by 4 publications

References 26 publications

Effective health communication for age‐related macular degeneration: An exploratory qualitative study

Effective health communication for age‐related macular degeneration: An exploratory qualitative study

Will artificial intelligence render optometrists redundant?

Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review

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