Acute arthritis Acute monoarthritis Septic arthritis Clinical reasoning Medical education Artificial intelligence in medical education Acute Arthritis Monoarthritis Septic Arthritis Clinical Reasoning Decision Making Medical Education Students, Medical Artificial Intelligence Diagnostic Errors Arthrocentesis Educational Measurement Case-Based Learning
Conditions
Interventions
Participants review acute arthritis case scenarios using AI support to assist diagnosis and arthrocentesis decision-making, then complete the structured clinical reasoning response form.,Participants
Experimental Behavioral,Active Comparator Behavioral
AI assisted clinical reasoning,Human first clinical reasoning
Sponsors
Faculty of Medicine, Kasetsart University 50 Ngamwongwan Road, Lat Yao Subdistrict, Chatuchak District, Bangkok 10900, Thailand
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Second-year medical students enrolled in the acute arthritis workshop at the Faculty of Medicine, Kasetsart University 2. Able to participate in the full 3-hour study session 3. Able to access and complete the study materials and online response forms 4. Willing to participate voluntarily and provide informed consent
Exclusion criteria
Exclusion criteria: 1. Students who decline to provide informed consent 2. Students unable to complete the study activities during the workshop session 3. Students who arrive late or leave before completing all study procedures 4. Students who are unable to access or complete the online response forms 5. Students who withdraw from the study at any time during the session
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Arthrocentesis decision accuracy Immediately after completion of each of the three case scenarios during the study session Proportion of participants making correct arthrocentesis decisions across three acute arthritis scenarios using a structured clinical reasoning scoring form | — |
Secondary
| Measure | Time frame |
|---|---|
| Diagnostic accuracy Immediately after completion of each of the three case scenarios during the study session Proportion of participants selecting the correct most likely diagnosis in three acute arthritis scenarios using a structured clinical reasoning scoring form,Confidence level in clinical decision making Immediately after completion of each of the three case scenarios during the study session Proportion of participants selecting the appropriate initial investigation in three acute arthritis scenarios using a structured clinical reasoning scoring form,Response change after AI exposure Immediately after AI review in each of the three case scenarios during the study session Proportion of participants in the Human-first group who changed their diagnosis or arthrocentesis decision after reviewing AI suggestions, based on pre- and post-AI response forms | — |
Countries
Thailand
Contacts
Public ContactPinkawas Kongmalai
Faculty of Medicine, Kasetsart University
Outcome results
None listed