Improving readability in AI-generated medical information on fragility fractures: the role of prompt wording on ChatGPT's responses.

Journal: Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA

PMID: 39777491

Abstract

UNLABELLED: Understanding how the questions used when interacting with chatbots impact the readability of the generated text is essential for effective health communication. Using descriptive queries instead of just keywords during interaction with ChatGPT results in more readable and understandable answers about fragility fractures.

Authors

Hakan Akkan

Department of Therapy and Rehabilitation, Tavsanli Vocational School of Health Services, Kutahya Health Sciences University, Yeni Mah. Sehit Gaffar Okkan Cd. No: 2 43300, Tavsanli, Kutahya, Turkey. hakan.akkan@ksbu.edu.tr.
Gulce Kallem Seyyar

Division of Occupational Therapy, Faculty of Health Sciences, Kutahya Health Sciences University, Kutahya, Turkey.

Keywords

Artificial Intelligence Comprehension Consumer Health Information Generative Artificial Intelligence Health Communication Health Literacy Humans Osteoporotic Fractures Patient Education as Topic

External Resources

View on PubMed Access via DOI PubMed (39777491)

Improving readability in AI-generated medical information on fragility fractures: the role of prompt wording on ChatGPT's responses.

Abstract

Authors

Keywords

External Resources

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