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Kepastian Hukum dalam Penerapan Teknologi Kesehatan: Perlindungan Data Pasien dan Malpraktik Rayga Rayyan; Abdul Rahman Maulana Siregar
Politika Progresif : Jurnal Hukum, Politik dan Humaniora Vol. 2 No. 1 (2025): Maret: Politika Progresif : Jurnal Hukum, Politik dan Humaniora
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/progres.v2i1.1230

Abstract

The rapid development of health technology has significantly contributed to healthcare services. Technologies such as Electronic Medical Records (EMR), telemedicine, and Artificial Intelligence (AI) have improved healthcare accessibility. However, these advancements also present legal challenges, particularly regarding patient data protection and liability for medical errors (malpractice). Patients have the right to data privacy, and data breaches can have serious consequences. In Indonesia, regulations such as the Ministry of Health Regulation No. 24 of 2022 on Medical Records have been implemented to strengthen patient data security. However, legal gaps still exist, particularly concerning the responsibility of third-party technology providers. Additionally, the application of technology increases the risk of malpractice, especially in the use of AI and telemedicine, where diagnostic errors can occur. Current regulations, including Law No. 17 of 2023 on Medical Health, do not fully address liability for errors involving technology. Therefore, stronger legal certainty and more comprehensive regulations are needed to keep pace with the rapid development of health technologies.
Kepastian Hukum Penggunaan Artificial Intelligence (AI) dalam Pelayanan Kesehatan dan Diagnosa Medis di Indonesia Rayga Rayyan; Marice Simarmata
Demokrasi: Jurnal Riset Ilmu Hukum, Sosial dan Politik Vol. 2 No. 3 (2025): Demokrasi: Jurnal Riset Ilmu Hukum, Sosial dan Politik
Publisher : Asosiasi Peneliti dan Pengajar Ilmu Hukum Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/demokrasi.v2i3.1156

Abstract

The utilization of Artificial Intelligence (AI) in healthcare services and medical diagnosis in Indonesia has grown rapidly alongside the digital transformation of the health sector. AI technology has been employed to improve service efficiency, accelerate diagnostic processes, and enhance disease detection accuracy, particularly through medical imaging and ECG data analysis. Algorithms such as K-Nearest Neighbor (KNN) and Chi-Square have shown effectiveness in heart disease classification. However, despite its benefits, AI implementation presents legal challenges. The absence of specific regulations regarding legal liability in cases of AI-based diagnostic errors creates uncertainty for both medical professionals and patients. Additionally, the lack of national standards, weak patient data protection, and digital literacy gaps present significant obstacles. Adaptive policies, the establishment of dedicated regulations, and collaboration between government, medical practitioners, technology developers, and academics are essential to develop a legal framework that accommodates AI advancements responsibly. With clear legal certainty, AI technology can be optimally utilized to support more inclusive and high-quality healthcare services.