Generating Fast and Slow for Entree Level Medical Knowledge

NCT06247475 | Unknown

• 1 other identifier: 202308059RINB
• Study Type: observational
• Target: 120
• Locations: 1 country
• Sites: 1

Brief Summary

The generative artificial intelligence tool, ChatGPT, has garnered widespread interest since its launch. This innovative multimedia platform has the potential to enhance medical communication and health education, thereby improving medical accessibility and reducing the burden on healthcare professionals. Some studies have indicated that ChatGPT achieves higher levels of satisfaction in counseling compared to human healthcare professionals. Additionally, research has shown that ChatGPT's performance in answering objective structured clinical examination questions is comparable to that of typical medical students. However, in both scenarios, it still requires editing by professionals before being used. Moreover, a recent meta-analysis evaluating ChatGPT's ability in various types of medical exams revealed inconsistent results. Before its application and actual integration into clinical practice, the investigators need to comprehend the advantages, disadvantages, and relevant limitations of ChatGPT in the field of medical communication. This study aims to simulate virtual consultations between ChatGPT, acting as a health professional, and study participants, serving as patients. It will evaluate the participants' satisfaction with the virtual consultation questions, categorized by different levels of cognition through Bloom's Taxonomy. This study plans to recruit medical professionals, healthcare-related professionals, medical students from National Taiwan University Hospital, and the general public. Two researchers will select 20 questions from the USMLE step 3 practice tests and the second stage of the Taiwan Medical Licensing Examination. These questions will be categorized into different levels of cognition based on knowledge, comprehension, application, analysis, synthesis, or evaluation. ChatGPT 3.5 and 4.0 will answer these 20 questions without specifying the question's level of cognition. Each participant will review the answers to these 20 questions and assign a satisfaction score based on the appropriateness of each answer.

Conditions

Patient Satisfaction

Keywords

Artificial Intelligence; Decision Making, Shared

Outcome Measures

Primary Outcomes (1)

• Correlation between satisfaction and Bloom's taxonomy

  Divided by the four participant groups

  baseline (at completion of study questionnaire)

Secondary Outcomes (1)

• Correctness of answers

  baseline (at completion of study questionnaire)

Study Arms (4)

Medical professionals

Attending physicians of National Taiwan University Hospital

Other: Answers generated by ChatGPT

Healthcare-related professionals

Medical Radiation Technologist of National Taiwan University Hospital

Other: Answers generated by ChatGPT

Medical students

Medical students of National Taiwan University College of Medicine who have passed the first stage of Taiwan Medical Licencing Exam.

Other: Answers generated by ChatGPT

General public

Volunteers from Taiwan Emergency Medical Technician Association

Other: Answers generated by ChatGPT

Interventions

Answers generated by ChatGPT OTHER

Participants will assign a satisfaction score based on the appropriateness of each answer.

General public; Healthcare-related professionals; Medical professionals; Medical students

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

The medical professionals, healthcare-related professionals, and medical students refer to attending physician, medical radiation technologist from National Taiwan University Hospital, and medical students from National Taiwan University College of Medicine, respectively. The general public refer to volunteers from Taiwan Emergency Medical Technician Association.

You may qualify if:

• National Taiwan University Hospital
• Medical professionals
• Healthcare-related professionals
• Medical students
• Taiwan Emergency Medical Technician Association.
• Volunteers

You may not qualify if:

• N/A.

Sponsors & Collaborators

• National Taiwan University Hospital: lead
• Taiwan Emergency Medical Technician Association: collaborator

Study Sites (1)

National Taiwan University

Taipei, 100, Taiwan

Location

MeSH Terms

Conditions

Patient Satisfaction

Condition Hierarchy (Ancestors)

Treatment Adherence and Compliance; Health Behavior; Behavior

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: January 29, 2024
• First Posted: February 8, 2024
• Study Start: February 1, 2024
• Primary Completion: June 1, 2024
• Study Completion: June 1, 2024
• Last Updated: February 16, 2024

Record last verified: 2024-01

Data Sharing

• IPD Sharing: Will not share

Locations

TW (1)