Ministry of Science and ICT Holds Performance Report Meeting on Precision Medicine Hospital Information System View original image

[Asia Economy Reporter Eunmo Koo] The Ministry of Science and ICT (MSIT) and the Ministry of Health and Welfare (MOHW) held a performance report meeting on the 22nd for the 'Precision Medicine Hospital Information System (P-HIS),' developed through collaboration among 14 medical institutions and ICT companies centered on Korea University Medical Center.


P-HIS was developed in 38 standard module units (8 modules for primary hospitals) covering various hospital tasks such as outpatient care, inpatient care, and administration, enabling rapid and economical service provision tailored to hospitals of various sizes. Notably, P-HIS received the highest global score in interoperability, heralding a bright future for building medical big data and exchanging and utilizing medical data.


Besides Korea University Medical Center, P-HIS has been distributed to approximately 90 primary medical institutions nationwide, providing high security, reliability, and rapid service innovation, while paving the way for several domestic companies to develop and launch various cloud-based hospital information systems.


Building on this, the government plans to support the distribution and expansion of cloud-based hospital information systems centered on primary and secondary medical institutions over the next four years starting next year, aiming to provide an innovative medical service environment where medical staff can focus on patient care and improve the quality of medical services.


Lee Sang-heon, head of the P-HIS project group, stated, "Building and utilizing medical big data is crucial to providing personalized precision medical services in the future." He expressed his ambition, saying, "Starting with the 'Precision Medicine Big Data Hospital Council,' which involves about 20 medical institutions nationwide, we will lead the digital transformation in the medical field through building and utilizing medical big data."





This content was produced with the assistance of AI translation services.

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