Wondyifraw Yeshitila Tesfaye, Bekelu Teka Worku
Early postnatal discharge during COVID-19: A cross-sectional study
Women's health (London, England)
undergraduate medical studies represent wide range learning opportunities served form various teachinglearning modalities medical learners clinical scenario frequently used modality followed multiplechoice openended questions among learning teaching methods script concordance tests scts used promote higher level clinical reasoning recent technological developments made generative artificial intelligence aibased systems chatgpt openai available assist clinicianeducators creating instructional materials main objective project explore scts generated chatgpt compared scts produced clinical experts 3 major elements scenario stem clinical questions expert opinion mixed method study evaluated 3 chatgptgenerated scts 3 expertcreated scts using predefined framework clinicianeducators well resident doctors psychiatry involved undergraduate medical education quebec canada evaluated via webbased survey 6 scts 3 criteria scenario clinical questions expert opinion also asked describe strengths weaknesses scts total 102 respondents assessed scts significant distinctions 2 types scts concerning scenario p84 clinical questions p99 expert opinion p07 interpretated respondents indeed respondents struggled differentiate chatgpt expertgenerated scts chatgpt showcased promise expediting sct design aligning well diagnostic statistical manual mental disorders fifth edition criteria albeit tendency toward caricatured scenarios simplistic content study first concentrate design scts supported ai period medicine changing swiftly technologies generated ai expanding much faster study suggests chatgpt valuable tool creating educational materials validation essential ensure educational efficacy accuracy