Evidence map›Paper›PMID 39036525›Full record

ArticleLearning health systems2024

Exploring the use of ChatGPT as a virtual health coach for chronic disease management.

Fahad M Al-Anezi

Registry-linked trialAbstract read
In one paragraph

Article in Learning health systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06798311 (Reducing Disparities in Urinary Control Symptoms for Minority Women), which is not on this map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06798311 narecruitingnot on this map

Reducing Disparities in Urinary Control Symptoms for Minority Women

TypeinterventionalSponsorUniversity of ChicagoRan2024 to 2027Enrolled80ConditionsUrinary Incontinence (UI), Lower Urinary Tract Symptoms (LUTS), Pelvic Floor DisorderArmsSUPPORT workbook
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  8. ChatGPT in precision medicine.APL bioengineering · 2026
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  17. Knowledge Engineering for Medical Vocabularies Using Large Language Models.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Fahad M Al-AneziDepartment of Management Information Systems Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: ChatGPT has been widely researched for its potential in gealthcare applications. However, its efficcy as a virtual health coach is one of the important areas, which can significantly contribute to the sustainablility in healthcare operations, especially in managing critical illnesses. Therefore, this study aims to analyze the use of ChatGPT as a virtual health coach for chronic disease managemet. Methods: This study used a quasi-experimental design because ChatGPT is a relatively new technology and few people have experience with it. Patients who were receiving care outside of the hospital were included. Semi-structured interviews were conducted after a 2-week period in which participants used ChatGPT to search for health information about chronic disease management. Thirty-nine outpatients were interviewed and thematic analysis was used to analyze the interview data. Results: The findings suggested both opportunities and challenges of using ChatGPT as a virtual health coach for chronic disease management. The major opportunities identified included life-long learning, improved health literacy, cost-effectiveness, behavioral change support, scalability, and accessibility. The major challenges identified included limited physical examination, lack of human connection, legal and ethical complications, and lack of accuracy and reliability. Conclusion: ChatGPT-based technologies may serve as a supplementary or intermediate support system. However, such applications for managing chronic diseases must protect privacy and promote both short- and long-term positive outcomes.

Indexed as

ChatGPTdisease managementheath informatics

Identifiers

PMID39036525
PMCPMC11257053

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.