Saria Khalid, Fatima Sikander, Aqsa Shafique, Laraib Qamar
{"title":"Artificial Intelligence in Healthcare Education: Investigating ChatGPT's Acceptance","authors":"Saria Khalid, Fatima Sikander, Aqsa Shafique, Laraib Qamar","doi":"10.53708/hpej.v6i2.2575","DOIUrl":"https://doi.org/10.53708/hpej.v6i2.2575","url":null,"abstract":"This study explores the acceptance and awareness of ChatGPT, an AI chatbot, among healthcare students and professionals. Data was collected from 370 participants through a questionnaire, revealing that while most participants were aware of ChatGPT and its potential in healthcare, many had not used it. Participants expressed a desire for training and identified barriers such as technical limitations, lack of personalization, and ethical concerns. Challenges associated with ChatGPT usage included concerns about replacing teachers, ethical issues, cybercrime, and increased plagiarism rates. Despite these challenges, participants recognized the potential of AI in healthcare, including augmented reality, machine learning, robotic surgery, and teaching strategies. The study emphasizes the need for continuous improvement and ethical considerations in developing AI chatbots like ChatGPT. These findings offer valuable insights for the future development and implementation of AI chatbot technologies in healthcare education.","PeriodicalId":487986,"journal":{"name":"Health professions educator journal","volume":"25 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140450442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Availability bias on learning and decision making of medical students","authors":"Rehan Ahmed Khan","doi":"10.53708/hpej.v6i2.3002","DOIUrl":"https://doi.org/10.53708/hpej.v6i2.3002","url":null,"abstract":"The learning and decision-making abilities of medical students are affected by cognitive bias. One of its types, availability bias, has an impact on medical students in their clinical years. In this type of bias, learning is affected by the limited available information and experience gained by students. This refers to the tendency to overestimate the likelihood of events or conditions based on how easily they come into mind. In medical students, this happens specifically when they are exposed to clinical information in their earlier years. In the discipline-based curriculum, this bias is more evident in the fourth year of MBBS; however, in the integrated curriculum, this bias may arise during the first three years of medical education.","PeriodicalId":487986,"journal":{"name":"Health professions educator journal","volume":"160 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140451530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}