Changes in patient perceptions regarding ChatGPT-written explanations on lifestyle modifications for preventing urolithiasis recurrence.
Seong Hwan KimJong Hyun TaeIn Ho ChangTae-Hyoung KimSoon Chul MyungTuan Thanh NguyenJoongwon ChoiJung Hoon KimJin Wook KimYong Seong LeeSe Young ChoiPublished in: Digital health (2023)
The negative perception change among urolithiasis patients after receiving the explanatory note provided by the AI chatbot program was observed, evidencing that patients with lower education levels expressed a more negative response. The explanatory note provided by the AI chatbot program could provoke an adverse change in AI perception. Negative human responses must be considered to improve and adapt new technology in health care. Only through changing patient perspectives will upgraded AI technology integrate into medical healthcare.
Keyphrases
- healthcare
- artificial intelligence
- quality improvement
- end stage renal disease
- case report
- endothelial cells
- ejection fraction
- newly diagnosed
- chronic kidney disease
- machine learning
- cardiovascular disease
- metabolic syndrome
- peritoneal dialysis
- physical activity
- prognostic factors
- emergency department
- type diabetes
- health information
- patient reported outcomes