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All Journal Devotion: Journal of Research and Community Service Jurnal Locus Penelitian dan Pengabdian Jurnal Pendidikan Indonesia (Japendi)
Sebastian, Rommy
Unknown Affiliation
Aerospace Engineering Automotive Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics

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Feasibility of Automated Prescription by Artificial Intelligence in Telemedicine Based on Health Law Sebastian, Rommy; Arifin Hoesein, Zainal
Jurnal Pendidikan Indonesia Vol. 6 No. 7 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i7.8367

Abstract

Telemedicine as part of digital health services is officially regulated in Law No. 17 of 2023 concerning Health and implemented through Government Regulation No. 28 of 2024, but has not yet discussed the role of artificial intelligence as a prescription issuing entity. Meanwhile, Law No. 1 of 2024 concerning Electronic Information and Transactions recognizes the validity of electronic documents and digital signatures, opening up legal opportunities for the digitization of medical files. The aim of this study was to evaluate the legal feasibility of automated prescribing by artificial intelligence systems in Telemedicine, in particular reviewing the void of norms governing the "signer" status of prescriptions by artificial intelligence. The research method used is normative legal research; includes the study of national legislative texts, the interpretation of key articles, as well as comparisons with international practices from the FDA (US) and EMA (European Union). The analysis shows that the current national legal regime only recognizes licensed doctors as the authorized parties to sign electronic prescriptions, so artificial intelligence can only function as a "Clinical Decision Support System" without the legal right to issue prescriptions independently. The results of the study also highlight the legal risks for artificial intelligence platform organizers and developers if automatic prescriptions are not verified by medical personnel, including potential malpractice lawsuits and violations of the Consumer Protection Law. In conclusion, to realize the issuance of prescriptions carried out by artificial intelligence, it is necessary to amend the Health Law and/or sectoral regulations that formalize algorithm certification standards, periodic audit mechanisms, and a scheme for the division of legal responsibilities between artificial intelligence developers, platform providers, and supervising doctors.
Legal Implications Of Ai-Assisted Medical Waste Management In Healthcare Facilities Sebastian, Rommy; Sara, Rineke
Jurnal Locus Penelitian dan Pengabdian Vol. 3 No. 11 (2024): JURNAL LOCUS: Penelitian & Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v3i11.3276

Abstract

Medical waste management in healthcare facilities is critical to protecting public health and the environment. Improper handling of medical waste can lead to environmental pollution and pose serious health risks. In Indonesia, Permenkes No. 2 of 2023 provides a regulatory framework for managing medical waste, but its implementation needs to be improved, especially in remote healthcare facilities with limited infrastructure and resources. Technological advances, especially artificial intelligence (AI), offer potential solutions to optimize medical waste management through real-time tracking, sorting, and monitoring. This study aims to evaluate the role of AI in supporting the implementation of Permenkes No. 2 of 2023 in several health facilities and identify barriers to AI adoption. Using a normative legal approach combined with case studies from health facilities in Indonesia, this study highlights the effectiveness of AI implementation in medical waste management. The results show that AI has the potential to improve compliance with medical waste management standards, optimize waste processing, and strengthen supervision through real-time data collection. However, AI adoption faces high costs, a lack of infrastructure, and limited technical expertise, especially in remote areas. The implications of this study emphasize the need for investment in technological infrastructure, health workforce training, and supportive policies to address barriers to AI adoption. This would maximize the potential of this technology in more effective medical waste management for public health and a safer environment.
Feasibility of Automated Prescription by Artificial Intelligence in Telemedicine Based on Health Law Sebastian, Rommy; Arifin Hoesein, Zainal
Jurnal Pendidikan Indonesia Vol. 6 No. 7 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i7.8367

Abstract

Telemedicine as part of digital health services is officially regulated in Law No. 17 of 2023 concerning Health and implemented through Government Regulation No. 28 of 2024, but has not yet discussed the role of artificial intelligence as a prescription issuing entity. Meanwhile, Law No. 1 of 2024 concerning Electronic Information and Transactions recognizes the validity of electronic documents and digital signatures, opening up legal opportunities for the digitization of medical files. The aim of this study was to evaluate the legal feasibility of automated prescribing by artificial intelligence systems in Telemedicine, in particular reviewing the void of norms governing the "signer" status of prescriptions by artificial intelligence. The research method used is normative legal research; includes the study of national legislative texts, the interpretation of key articles, as well as comparisons with international practices from the FDA (US) and EMA (European Union). The analysis shows that the current national legal regime only recognizes licensed doctors as the authorized parties to sign electronic prescriptions, so artificial intelligence can only function as a "Clinical Decision Support System" without the legal right to issue prescriptions independently. The results of the study also highlight the legal risks for artificial intelligence platform organizers and developers if automatic prescriptions are not verified by medical personnel, including potential malpractice lawsuits and violations of the Consumer Protection Law. In conclusion, to realize the issuance of prescriptions carried out by artificial intelligence, it is necessary to amend the Health Law and/or sectoral regulations that formalize algorithm certification standards, periodic audit mechanisms, and a scheme for the division of legal responsibilities between artificial intelligence developers, platform providers, and supervising doctors.
The Role of Artificial Intelligence in Telemedicine: Legal Considerations under Indonesian Health Laws Sebastian, Rommy
Devotion : Journal of Research and Community Service Vol. 5 No. 12 (2024): Devotion: Journal of Community Research
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/devotion.v5i12.20694

Abstract

The integration of Artificial Intelligence (AI) in Indonesia’s healthcare system, particularly in telemedicine, presents both opportunities and challenges. AI enhances healthcare delivery by improving diagnostics and patient management, especially in underserved areas. However, its adoption raises legal concerns, particularly around data privacy, security, and professional accountability. Indonesia's regulatory framework, including the Personal Data Protection Law (UU PDP) and Health Ministerial regulations, governs healthcare and data use but has not fully adapted to the complexities of AI. This study aims to analyse the adequacy of Indonesia’s legal framework in addressing the challenges posed by AI in telemedicine. A qualitative method was used, involving a comprehensive review of existing laws and case studies of AI application in healthcare both locally and globally. The results reveal that while Indonesian health laws provide a foundation for telemedicine regulation, they lack specific provisions for AI-related issues, such as algorithm transparency, liability for AI errors, and real-time data handling. The conclusion emphasizes the need for updated regulations that account for AI’s unique characteristics, ensuring that its benefits in healthcare are fully realized while protecting patient rights and aligning with international legal standards. This research highlights the importance of legal reform to create a safer, more efficient, and ethically sound AI-driven healthcare system in Indonesia.
Co-Authors Sara, Rineke Zainal Arifin Hoesein