Generative AI as Virtual Healthcare Assistant for Enhancing Patient Care Quality

Agariadne Dwinggo Samala; Soha Rawas

doi:10.3991/ijoe.v20i05.45937

Authors

Agariadne Dwinggo Samala Universitas Negeri Padang https://orcid.org/0000-0002-4425-0605
Soha Rawas Faculty of Science, Department of Mathematics and Computer Science, Beirut Arab University, Beirut, Lebanon https://orcid.org/0000-0001-5128-6529

DOI:

https://doi.org/10.3991/ijoe.v20i05.45937

Keywords:

generative AI, chatGPT, patient care quality, virtual healthcare assistant, healthcare applications

Abstract

This study investigates the potential of Chat Generative Pre-Trained Transformer (ChatGPT) as a virtual healthcare assistant to enhance the quality of patient care. Inadequate patient care within healthcare systems is a key issue that has resulted in lower satisfaction and medical errors. Virtual healthcare assistants, exemplified by ChatGPT, have emerged as a promising solution to mitigate these challenges. A comprehensive literature review compares the benefits and drawbacks of using virtual healthcare assistants with those of human healthcare providers to assess their effectiveness in enhancing patient care. The article discusses the ChatGPT development process, including the data sources used, training and validation, and the integration of this technology into healthcare systems. The results of testing ChatGPT in patient care, including patient feedback, are provided. The study interprets these findings and indicates that ChatGPT can significantly enhance patient care. The implications of implementing virtual healthcare assistants in the healthcare sector are also explored, along with potential future research areas for enhancing ChatGPT. This study provides important new insights into how virtual healthcare assistants might enhance patient care and offers recommendations for healthcare organizations and legislators on leveraging ChatGPT. It shows that the astonishing development in patient care, known as ChatGPT, has the potential to revolutionize the healthcare industry.

Author Biographies

Agariadne Dwinggo Samala, Universitas Negeri Padang

Agariadne Dwinggo Samala is a professional educator, futurologist, and dedicated researcher, currently an Assistant Professor at the Faculty of Engineering, Universitas Negeri Padang (UNP), Indonesia. His academic journey began with his bachelor’s degree (S1) from the Department of Computer Engineering, Faculty of Information Technology, Universitas Andalas, Indonesia, in 2015. Additionally, he completed a master’s degree (S2) in Technology and Vocational Education from the Faculty of Engineering at UNP, focusing on Informatics Engineering Education in 2018. In 2023, he achieved his doctoral degree (S3) from UNP, Indonesia, with his research focusing on exploring innovative intersections of technology and education. Moreover, Dr. Samala actively contributes to the academic community as a member of EMERGE (Emerging Technologies, Multimedia, and Education Research Group Env.) at Digital Society Lab, advancing research initiatives. He is also an external collaborator of the Digital Society Lab at the Institute for Philosophy and Social Theory (IFDT), University of Belgrade, Serbia. Additionally, he extends his collaborative efforts as an external collaborator at Technology, Instruction, and Design in Engineering and Education Research (TiDEE.rg), Universidad Católica de Ávila, Spain. His global engagement continues as a member of the International Society for Engineering Pedagogy (IGIP) in Austria. With a deep passion for education, Dr. Samala has conducted impactful research on technology-enhanced learning (TEL), emerging technologies in education, flexible learning, 21st-century learning, technology, and vocational education and training (TVET). His commitment extends beyond research, actively contributing to the academic community by serving as an editorial board member for J-HyTEL, Elektif, Voteteknika, JTIP, JITCE, AMLER, JPTK, JEREL, and JCIM. With more than 40 published scientific papers, he has significantly contributed to the scientific community. Dr. Samala has also fostered collaborative partnerships with experts worldwide to drive progress in education. Additionally, he holds certifications as a Microsoft Certified Educator (21st Century Learning), Microsoft Certified: Power BI Data Analyst Associate, and Google Certified Educator (Lv.1), underscoring his commitment to innovative teaching and learning practices by integrating technology to enhance education.

Soha Rawas, Faculty of Science, Department of Mathematics and Computer Science, Beirut Arab University, Beirut, Lebanon

Soha Rawas, holding a Doctor of Philosophy degree (Ph.D.) in Mathematics and Computer Science, graduated from Beirut Arab University (BAU) in 2019. Dr. Rawas possesses a broad spectrum of expertise spanning several domains, notably artificial intelligence, deep learning, internet of medical things (IOMT), cloud computing, and image processing. With unwavering dedication to her research pursuits, she currently serves as an Assistant Professor within the Faculty of Science, Department of Computer Science, at Beirut Arab University (BAU). In addition, she holds a directorial role at the Center for Continuing Education (CEC) at BAU.