Patient Satisfaction
Conditions
Keywords
Artificial Intelligence, Decision Making, Shared
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.
Interventions
OTHERAnswers generated by ChatGPT
Participants will assign a satisfaction score based on the appropriateness of each answer.
Sponsors
Taiwan Emergency Medical Technician Association
National Taiwan University Hospital
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
1. National Taiwan University Hospital * Medical professionals * Healthcare-related professionals * Medical students 2. Taiwan Emergency Medical Technician Association. * Volunteers
Exclusion criteria
* N/A.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between satisfaction and Bloom's taxonomy | baseline (at completion of study questionnaire) | Divided by the four participant groups |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Correctness of answers | baseline (at completion of study questionnaire) | Answers from ChatGPT 3.5/4.0 and the answers provided by Medical Licencing Exam institutions |
Countries
Taiwan
Outcome results
None listed