Sri Sunarti1, Ferry Fadzlul Rahman2, Muhammad Naufal1, Muhammad Risky1, Kresna Febriyanto1, Rusni Masnina3. 1. Department of Public Health, Universitas Muhammadiyah Kalimantan Timur, Indonesia. 2. Department of Public Health, Universitas Muhammadiyah Kalimantan Timur, Indonesia; Department of Healthcare Administration Asia University, Taiwan. Electronic address: ffr607@umkt.ac.id. 3. Department of Nursing, Universitas Muhammadiyah Kalimantan Timur, Indonesia.
Abstract
OBJECTIVE: This study aimed to find out the opportunity of artificial intelligence (AI) and the risk in health service. METHOD: A comprehensive literature search was collected from three databases (Web of Science, Google Scholar, and EBSCOhost) to identify articles studied Implementing AI in improving in health services. Two reviewers independently assessed the quality of studies using the Joanna Briggs Institute. RESULTS: The application will improve diagnostics, prevention, and treatment of patients, increasing cost efficiency and equality and equality in health services. For the challenge, there is no AI adoption in public sector, patients' privacy, patient autonomy rights become problems in AI applications. CONCLUSIONS: Implementation of AI is needed in the efficiency of health service management as well as making medical decisions. The challenge is facilitating early adoption and ongoing implementation in the health care system, and we consider some of the ethical problem lists faced by AI clinical application.
OBJECTIVE: This study aimed to find out the opportunity of artificial intelligence (AI) and the risk in health service. METHOD: A comprehensive literature search was collected from three databases (Web of Science, Google Scholar, and EBSCOhost) to identify articles studied Implementing AI in improving in health services. Two reviewers independently assessed the quality of studies using the Joanna Briggs Institute. RESULTS: The application will improve diagnostics, prevention, and treatment of patients, increasing cost efficiency and equality and equality in health services. For the challenge, there is no AI adoption in public sector, patients' privacy, patient autonomy rights become problems in AI applications. CONCLUSIONS: Implementation of AI is needed in the efficiency of health service management as well as making medical decisions. The challenge is facilitating early adoption and ongoing implementation in the health care system, and we consider some of the ethical problem lists faced by AI clinical application.
Authors: Sebastian J Fritsch; Andrea Blankenheim; Alina Wahl; Petra Hetfeld; Oliver Maassen; Saskia Deffge; Julian Kunze; Rolf Rossaint; Morris Riedel; Gernot Marx; Johannes Bickenbach Journal: Digit Health Date: 2022-08-08