ArticleJMIR aging2022
Benefits of, Barriers to, and Needs for an Artificial Intelligence-Powered Medication Information Voice Chatbot for Older Adults: Interview Study With Geriatrics Experts.
Article in JMIR aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 59 citations in OpenAlex.
- The Challenges of AI Applications in Health Care: Qualitative Study.Journal of medical Internet research · 2026Article
- Conversational Artificial Intelligence as a Source of Oral Health Information: A Cross-Sectional Study in a Romanian Population.Dentistry journal · 2026Article
- Article
- Exploring Patient Perspectives on the Use of Artificial Intelligence to Inform Joint Decision-Making for Patients With Multiple Conditions in Primary Care in the United Kingdom: Qualitative Study.Journal of medical Internet research · 2026Article
- The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review.Aging medicine (Milton (N.S.W)) · 2026Review
- From Hospital to Home: Enhancing Family Support with MIGYN (Mitra Interaktif Ginekologi), an AI-Based Discharge Planning Chatbot.Journal of multidisciplinary healthcare · 2026Article
- Medication adherence in older adults with chronic diseases: a scoping review of barriers, facilitators, and effective interventions.Frontiers in aging · 2026Review
- Artificial Intelligence in Medication Management for Older Adults in Low- and Middle-Income Countries: A Narrative Review.Aging medicine (Milton (N.S.W)) · 2025Review
- Caregiving Artificial Intelligence Chatbot for Older Adults and Their Preferences, Well-Being, and Social Connectivity: Mixed-Method Study.Journal of medical Internet research · 2025Article
- The effects of response time on older and young adults' interaction experience with Chatbot.BMC psychology · 2025Article
- Artificial Intelligence in the Management of Asthma: A Review of a New Frontier in Patient Care.Journal of asthma and allergy · 2025Review
- Article
- Attitudes Toward Use of an APOL1 Genetic Testing Chatbot in Living Kidney Donor Evaluation: A Focus Group Study.Clinical transplantation · 2024Article
- Leveraging Chatbots to Combat Health Misinformation for Older Adults: Participatory Design Study.JMIR formative research · 2024Article
- AI Hesitancy and Acceptability-Perceptions of AI Chatbots for Chronic Health Management and Long COVID Support: Survey Study.JMIR human factors · 2024Article
- Voice Assistants for Mental Health Services: Designing Dialogues with Homebound Older Adults.DIS. Designing Interactive Systems (Conference) · 2024Article
- Advancing Glaucoma Care: Integrating Artificial Intelligence in Diagnosis, Management, and Progression Detection.Bioengineering (Basel, Switzerland) · 2024Review
- Understanding older adults' acceptance of Chatbots in healthcare delivery: an extended UTAUT model.Frontiers in public health · 2024Article
- Preparing for aging: Understanding middle-aged user acceptance of AI chatbots through the technology acceptance model.Digital healthArticle
- Artificial Intelligence Challenges in the Healthcare Industry: A Systematic Review of Recent Evidence.Healthcare technology lettersReview
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOne of the most complicated medical needs of older adults is managing their complex medication regimens. However, the use of technology to aid older adults in this endeavor is impeded by the fact that their technological capabilities are lower than those of much of the rest of the population. What is needed to help manage medications is a technology that seamlessly integrates within their comfort levels, such as artificial intelligence agents.
objectiveThis study aimed to assess the benefits, barriers, and information needs that can be provided by an artificial intelligence-powered medication information voice chatbot for older adults.
methodsA total of 8 semistructured interviews were conducted with geriatrics experts. All interviews were audio-recorded and transcribed. Each interview was coded by 2 investigators (2 among ML, PR, METR, and KR) using a semiopen coding method for qualitative analysis, and reconciliation was performed by a third investigator. All codes were organized into the benefit/nonbenefit, barrier/nonbarrier, and need categories. Iterative recoding and member checking were performed until convergence was reached for all interviews.
resultsThe greatest benefits of a medication information voice-based chatbot would be helping to overcome the vision and dexterity hurdles experienced by most older adults, as it uses voice-based technology. It also helps to increase older adults' medication knowledge and adherence and supports their overall health. The main barriers were technology familiarity and cost, especially in lower socioeconomic older adults, as well as security and privacy concerns. It was noted however that technology familiarity was not an insurmountable barrier for older adults aged 65 to 75 years, who mostly owned smartphones, whereas older adults aged >75 years may have never been major users of technology in the first place. The most important needs were to be usable, to help patients with reminders, and to provide information on medication side effects and use instructions.
conclusionsOur needs analysis results derived from expert interviews clarify that a voice-based chatbot could be beneficial in improving adherence and overall health if it is built to serve the many medication information needs of older adults, such as reminders and instructions. However, the chatbot must be usable and affordable for its widespread use.
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