Search Articles

View query in Help articles search

Search Results (1 to 10 of 15 Results)

Download search results: CSV END BibTex RIS


Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study

Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study

Additionally, 4 MTS-untrained resident doctors regularly working in the ED were given these cases to assess according to MTS triage categories, albeit without access to the precise algorithm diagrams underlying the MTS. These 4 doctors all had no formal MTS training and worked in the ED regularly throughout their residency, with 2 in the second year of residency and 2 in the third year of residency.

Lars Masanneck, Linea Schmidt, Antonia Seifert, Tristan Kölsche, Niklas Huntemann, Robin Jansen, Mohammed Mehsin, Michael Bernhard, Sven G Meuth, Lennert Böhm, Marc Pawlitzki

J Med Internet Res 2024;26:e53297

Embracing ChatGPT for Medical Education: Exploring Its Impact on Doctors and Medical Students

Embracing ChatGPT for Medical Education: Exploring Its Impact on Doctors and Medical Students

Through training in the Chat GPT model, medical students and doctors can enhance their clinical reasoning and decision-making capabilities, consequently leading to improved performance in case analysis and diagnosis. Moreover, Chat GPT offers personalized and efficient learning experiences for medical learners by facilitating simulated dialogues, providing intelligent tutoring, and offering automated question-answering, thereby deepening students’ comprehension of medical knowledge [3].

Yijun Wu, Yue Zheng, Baijie Feng, Yuqi Yang, Kai Kang, Ailin Zhao

JMIR Med Educ 2024;10:e52483

Measuring e-Professional Behavior of Doctors of Medicine and Dental Medicine on Social Networking Sites: Indexes Construction With Formative Indicators

Measuring e-Professional Behavior of Doctors of Medicine and Dental Medicine on Social Networking Sites: Indexes Construction With Formative Indicators

Nevertheless, from the perspective of the professions themselves, although professionalism is taught and transferred through socialization into the profession as a value, for assessing the level of e-professionalism of doctors of medicine (MDs) and doctors of dental medicine (DMDs) the behavioral component is of greater interest. Professional behavior, rather than just attitude, constitutes a visible aspect of professionalism.

Marko Marelić, Ksenija Klasnić, Tea Vukušić Rukavina

JMIR Med Educ 2024;10:e50156

Patients, Doctors, and Chatbots

Patients, Doctors, and Chatbots

Concerning the interaction between patients, doctors, and chatbots, I describe what lies ahead when using chatbots and identify many questions for the daily work of doctors. I conclude with a gloomy outlook, expectations for urgently needed ethical discourse [5,6], and a hope in relation to humans and machines [3,7]. How Chat GPT describes its role [1]—“I am not a substitute for medical advice”—should be a fact.

Thomas C Erren

JMIR Med Educ 2024;10:e50869

Assessing the Well-Being at Work of Nurses and Doctors in Hospitals: Protocol for a Scoping Review of Monitoring Instruments

Assessing the Well-Being at Work of Nurses and Doctors in Hospitals: Protocol for a Scoping Review of Monitoring Instruments

Well-being at work for nurses and doctors employed in hospitals is an important condition for achieving effective, safe, and good patient care [1-3]. Moreover, well-being at work is strongly associated with serious consequences at an individual level, such as poor work-life balance [3,4], obesity [3], reduced quality of life of the health care worker [3,5], substance abuse, and suicide [3,6].

Amber Boskma, Kim van der Braak, Neda Ansari, Lotty Hooft, Götz Wietasch, Arie Franx, Maarten van der Laan

JMIR Res Protoc 2023;12:e43692

Peer Review of “Medical Brain Drain from Southeastern Europe: Using Digital Demography to Forecast Health Worker Emigration”

Peer Review of “Medical Brain Drain from Southeastern Europe: Using Digital Demography to Forecast Health Worker Emigration”

It would greatly strengthen your paper if you had stronger secondary/official data on the migration of nurses/doctors from Croatia/Bosnia and Herzegovina (B&H)/Serbia to Germany/Austria. Can you get data on the number of Croatian/Bosnian/Serbian–trained nurses/doctors who have joined a nursing/medical register in Germany/Austria? Can you get data on the number of Bosnian/Serbian citizens who have obtained visas to work in Germany/Austria?

Niamh Humphries

JMIRx Med 2021;2(4):e34078