The Prospects of Central Pertamina Hospital MIS-AI Based in Indonesia 2030 Onwards
Abstract
The development of Artificial Intelligence (AI) technology and Hospital Management Information Systems (HMI) offers significant opportunities to revolutionize healthcare services in Indonesia. This paper aims to explore the prospects for implementing AI-based MIS in Indonesian hospitals post-2030, using a qualitative approach through literature studies, semi-structured interviews, and trend analysis. The results show that although most major hospitals worldwide have begun to adopt digital systems, the use of AI is still limited and faces challenges such as infrastructure, limited human resources, and the absence of specific regulations governing AI in the healthcare sector. However, with the support of national policies, collaboration between stakeholders, and investment in technology and education, the transformation towards an intelligent and integrated MIS-AI system has the potential to be realized starting in 2030. The investigation also included interviews with specialist doctors, Ministry of Health officials, hospital IT experts, Health Tech CEOs, and academics and researchers. This paper recommends the need for a national roadmap and strengthening of national infrastructure, human resources, and the hospital digital ecosystem to welcome the era of smart hospitals in Indonesia. The results of the investigation concluded that the Type A Pertamina Central Hospital (RSPP) is capable of meeting the challenge of becoming an AI- and SIM- based hospital by 2030.
Keyword: Hospital, Management Information System, Artificial Intelligence, Digital Transformation, Indonesia 2030.
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HUMANIS (Humanities, Management and Science Proceedings) is a national peer reviewed and open access journal that publishes significant and important research from all area of agroindustry.
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