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All Journal Journal of Novel Engineering Science and Technology Journal of Public Health Sciences Journal of Pedagogy and Education Science
Urfa Khairatun Hisan
Faculty of Medicine, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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ChatGPT and Medical Education: A Double-Edged Sword Urfa Khairatun Hisan; Muhammad Miftahul Amri
Journal of Pedagogy and Education Science Vol 2 No 01 (2023): Journal of Pedagogy and Education Science
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jpes.v2i01.302

Abstract

ChatGPT has gained attention worldwide. In the medical education field, ChatGPT, or any similar large language model, provides a convenient way for students to access information and practice their skills. ChatGPT can simulate patient interactions, allowing students to practice their diagnostic and communication skills in a safe and controlled environment. ChatGPT can also answer questions and provide explanations for complex medical concepts. There have been attempts involving ChatGPT to assist researchers in writing journal articles. Due to its capabilities, ChatGPT has the potential to be abused and sparking ethical concerns. Unwise researchers can now employ ChatGPT to write academic articles. Similarly, irresponsible students, might utilize ChatGPT to cheat during exams. We investigated whether ChatGPT, in its current state, can answer Indonesian medical doctor examination problems. Among the 3 problems that we have picked, ChatGPT can only correctly answer 1 question. We also examine whether ChatGPT-generated abstracts can fool professionals and educators. We have brought 6 abstracts, 3 of which are taken from actual published papers, while the other 3 were generated by ChatGPT. We recruited 12 participants with either a medical doctor (M.D.), a doctorate (Ph.D.), or an M.D., Ph.D. degree from various institutions in Indonesia. Surprisingly, 4 of the participants couldn't guess a single abstract correctly, 6 could only identify 1 abstract accurately, one correctly guessed 2 abstracts, and one correctly identified 3 abstracts. Therefore, it is safe to say that ChatGPT, in its current state, has been able to fool professionals and educators.
Incorporating AI Tools into Medical Education: Harnessing the Benefits of ChatGPT and Dall-E Muhammad Miftahul Amri; Urfa Khairatun Hisan
Journal of Novel Engineering Science and Technology Vol. 2 No. 02 (2023): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v2i02.315

Abstract

Artificial intelligence (AI) has shown promising potential to transform various fields, including medical education. Recently, the rapid advancement of AI has led to many ``new'' discoveries that caught everyone's attention. Among those discoveries are introduced by OpenAI (e.g., ChatGPT, Dall-E, and the most recent, GPT-4). The integration of AI tools, such as ChatGPT and Dall-E, can offer a new dimension to medical education by creating an interactive and engaging learning experience. In this article, we explore the potential benefits of ChatGPT and Dall-E in medical education and provide practical utilization examples of those tools. For starters, ChatGPT, or in this sense, any other similar large language models, can simulate patient interactions in a safe environment, allowing medical learners to practice their communication skills and diagnosis techniques. Furthermore, it can assist medical students and researchers in reading and writing academic articles by accurately summarizing the key points of a given topic and generating an indistinguishable abstract. In addition, ChatGPT can also create problems for medical assignments and exam practice. In this article, we also discussed ChatGPT's capability to answer standard medical assignment problems. Dall-E, on the other hand, can generate dummy copyright-free and consent-free medical images (e.g., x-ray and electrocardiogram (ECG) graphs), allowing medical learners to practice and enhance their interpretation skills. Incorporating AI-based tools into medical education can provide a new approach to teaching and learning, bridging the gap between theory and practice, and unlocking new avenues for learning and discoveries for both, the students and the instructors. It can also offer a cost-effective solution to simulate real-world scenarios that would otherwise require significant resources and time. In summary, this article concludes that AI-based tools have the potential to revolutionize medical education, empowering medical learners with the skills and knowledge necessary to excel in their field.
Stress and Burnout among Medical Workers in Indonesia: A Study during COVID-19 Pandemic Urfa Khairatun Hisan; Muhammad Miftahul Amri
Journal of Public Health Sciences Vol. 2 No. 02 (2023): Journal of Public Health Sciences
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jphs.v2i02.346

Abstract

The COVID-19 pandemic has infected at least half a billion people around the world. As frontline workers, medical professionals inevitably experienced significant workloads and pressure. Adding to the common causal of COVID-19 mental issues such as economic, fears, and anxiety, these factors make medical workers more vulnerable to stress and burnout. This manuscript aims to investigate stress and burnout levels among medical workers during the COVID-19 pandemic. In this study, we include medical workers in Indonesia (n=161). We used the coronavirus stress measure (CSM) and COVID-19 burnout scale (COVID-19-BS) to measure the variables of interest. The data is collected through an anonymous online survey from November 2021 to January 2022. The result shows that the majority of the participants experienced a high intensity of stress and mild burnout during the third wave of COVID-19 infection in Indonesia (June 2021-August 2021). In addition, the regression test shows that there is a significant relationship between stress and burnout caused by COVID-19. When the stress intensity increases, it is likely that the burnout risk also increases. Considering that medical workers play important roles in mitigating diseases such as the COVID-19 pandemic, the medical workers and healthcare stakeholders must pay attention to these factors in order to maintain the medical worker's mental health and healthcare service quality.
Preparing Pharmacists for The Era of AI-driven Pharmacological Sciences: An Opinion Article Urfa Khairatun Hisan; Rizqi Dinni Fauzia; Muhammad Miftahul Amri
Journal of Pedagogy and Education Science Vol 2 No 02 (2023): Journal of Pedagogy and Education Science
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jpes.v2i02.347

Abstract

Due to its rapid development, artificial intelligence (AI) has gained a lot of popularity in many sectors, including pharmacological sciences. In pharmacological sciences, AI has been applied in various areas, from AI-driven drug discovery and genomic sequencing to the development of personalized medicine. Subsequently, the need for pharmacists with adequate AI-related skills and knowledge increases. However, the current traditional curriculum of pharmacy education does not cover AI courses. To elaborate on the current developments in AI-driven pharmacology and present the discussion of the possibility of whether AI-related courses should be included in the current curriculum. We have gathered 32 references on AI-driven pharmacological applications, pharmacy curricula, and the future trends of pharmacological sciences. The literature is obtained from online databases such as Scopus, PubMed, IEEE, and Google Scholar. Based on the literature reviews, we presented the discussion and scientific-based opinion on the need for AI-related courses in the school of pharmacy. We believe that AI will be the basis of future pharmacological development. Hence, we consider that it is the right time to include AI-related courses in the student's curriculum to prepare future-proof pharmacists.
Co-Authors Muhammad Miftahul Amri Muhammad Miftahul Amri Muhammad Miftahul Amri Rizqi Dinni Fauzia