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ChatGPT's Attitude, Knowledge, and Clinical Application in Geriatrics Practice and Education: Exploratory
1Minneapolis VA Health Care System, Minneapolis, MN, United States.
JMIR Formative Research
|January 3, 2025
Summary
ChatGPT shows promise as a geriatrics tool, demonstrating strong knowledge and less age bias in managing polypharmacy and falls. Further research is needed before widespread adoption in clinical practice and education.
Area of Science:
- Artificial Intelligence in Medicine
- Geriatric Medicine
- Clinical Decision Support
Background:
- Growing use of ChatGPT in clinical settings and medical education.
- Necessity to evaluate AI reliability, especially in geriatrics.
Purpose of the Study:
- Assess ChatGPT's trustworthiness in geriatrics.
- Evaluate attitude, knowledge, and clinical application for polypharmacy and falls.
Main Methods:
- Utilized validated UCLA geriatrics attitude and knowledge instruments.
- Compared ChatGPT performance against medical trainees from literature.
- Assessed clinical application via polypharmacy and falls vignettes.
Main Results:
- ChatGPT exhibited lower overall geriatrics attitude scores but higher positive attitude subscores.
- Outperformed trainees on geriatrics knowledge tests.
- Demonstrated comprehensive management for polypharmacy and falls, with some missed interactions and hallucinations.
Conclusions:
- ChatGPT can be a valuable supplemental tool in geriatrics, offering reliable information with reduced age bias.
- Potential benefits for trainees, healthcare providers, and laypeople in education and clinical resources.
- Further research with advanced models and broader scope is recommended before widespread implementation.
Keywords:
ChatGPTageismaging, older adultsfallsgeriatric syndromesgeriatrics attitudegeriatrics competencepolypharmacyMore Related Videos
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