Submitted:
19 February 2023
Posted:
23 February 2023
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Data collection
2.3. Data Analysis
2.4. Ethics Consideration
3. Results
- Theme 1. The ability of ChatGPT to design the integrated pharmacotherapy of infectious disease module curriculum
- Step 1: Problem Identification and General Needs Assessment
- Potential benefits
- Potential risks
- Recommendations
- Step 2: Targeted Needs Assessment
- Potential benefits
- Potential risks
- Recommendations
- Step 3: Goals and Objectives
- Potential benefits
- Potential risks
- Recommendations
- Step 4: Educational Strategies
- Potential benefits
- Potential risks
- Recommendations
- Step 5: Evaluation and Feedback
- Potential benefits
- Potential risks
- Recommendations
- Theme 2. Questions related to the syllabus for each topic, such as integrated pharmacotherapy of respiratory tract infections.
- Potential benefits
- Potential risks
- Recommendations
- Theme 3. Questions related to the preparation of lecture notes related to each topic, such as integrated pharmacotherapy of respiratory tract infections.
- Potential benefits
- Potential risks
- Recommendations
- Theme 4. Questions related to the preparation of exams with model answers related to each topic, such as integrated pharmacotherapy of respiratory tract infections.
- Potential benefits
- Potential risks
- Recommendations
4. Discussion
4.1. Theme 1. Potential benefits of using ChatGPT in the integrated pharmacotherapy of infectious disease curriculum
4.2. Theme 2. Potential risks of using ChatGPT in the integrated pharmacotherapy of infectious disease curriculum
4.3. Theme 3. Recommendations for using ChatGPT in the integrated pharmacotherapy of infectious disease curriculum
5. Conclusion
Authors Contributions
Conflicts of Interest
References
- Ahuja, AS. The impact of artificial intelligence in medicine on the future role of the physician. PeerJ. 2019;7:e7702.
- Bohr A, Memarzadeh K. The rise of artificial intelligence in healthcare applications. InArtificial Intelligence in healthcare 2020; 1 (pp. 25-60). Academic Press.
- Secinaro S, Calandra D, Secinaro A, et al. The role of artificial intelligence in healthcare: a structured literature review. BMC medical informatics and decision making. 2021;21:1-23.
- Davenport TH, Ronanki R. Artificial intelligence for the real world. Harvard business review. 2018 1;96(1):108-16.
- Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJ. Artificial intelligence in radiology. Nature Reviews Cancer. 2018;18(8):500-10.
- Roll I, Wylie R. Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education. 2016;26:582-99.
- McCarthy J. What is artificial intelligence. Available from : https://cse.unl.edu/~choueiry/S09-476-876/Documents/whatisai.pdf . 2007.
- Shapiro, SC. Encyclopedia of artificial intelligence second edition. New Jersey: A Wiley Interscience Publication. 1992.
- OPEN AI. https://openai.com/blog/chatgpt/ 2023.
- Thomas PA, Kern DE, Hughes MT, Tackett SA, Chen BY, editors. Curriculum development for medical education: a six-step approach. JHU press; 2022.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).