Article Per Year (5 Year)
p-Index From 2021 - 2026
1.318
P-Index
This Author published in this journals
All Journal Syntax Idea Cakrawala Repositori Imwi Journal Of World Science Jurnal Indonesia Sosial Teknologi Journal of Business, Social and Technology Eduvest - Journal of Universal Studies Lentera: Multidisciplinary Studies Lentera: Multidisciplinary Studies Journal of Digital Marketing and Search Engine Optimization Journal of Applied Econometric Journal of Artificial Intelligence Research
Farizki, Rafi
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Neuroscience Public Health Social Sciences

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Artificial Intelligence Research

 1 
ETHICAL ANALYSIS OF THE USE OF AI IN MEDICAL DATA MANAGEMENT: PRIVACY CHALLENGES IN THE DIGITAL AGE Farizki, Rafi
Journal of Artificial Intelligence Research Vol. 1 No. 1 (2025): Journal of Artificial Intelligence Research
Publisher : Asosiasi Persatuan Pengusaha Muda Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64910/jouair.v1i1.10

Abstract

The use of artificial intelligence (AI) in medical data management has improved efficiency and accuracy in healthcare, but it presents significant ethical challenges, especially when it comes to patient privacy. Along with the rapid development of technology, concerns over the security and privacy violations of medical data are increasing, which can impact public trust in AI-based healthcare systems. The study aims to analyze the ethical challenges in the use of AI in medical data and identify strategies to strengthen patient safety and privacy. Using a qualitative method with a case study approach, this study involves in-depth interviews and analysis of policy documents from several health institutions. The results of the study reveal three main themes: (1) ethical challenges related to transparency and patient consent, (2) the risk of medical data leakage due to the lack of AI security standards, and (3) barriers to ethical AI implementation in the health environment, especially in developing countries. The recommendations of this study include the implementation of the latest encryption protocols, increased ethical awareness among medical personnel, and policy transparency to patients. These findings contribute to the development of medical data privacy policies in the digital era, as well as increasing public trust in AI technology in the health sector.
Co-Authors Ahmad Jamal Antonius Alijoyo, Frasciskus Azis, Irfan Juliana, Christine Ramdhani, Adhitya Ilham Santika, Rani Siti Khasanah Supriatna, Nano