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KMID : 1100520230290030209
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Healthcare Informatics Research
2023 Volume.29 No. 3 p.209 ~ p.217
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Current Status and Key Issues of Data Management in Tertiary Hospitals: A Case Study of Seoul National University Hospital
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Choi Jin-Wook
Park Hye-Ryun
Chie Eui-Kyu
Choi Sae-Won
Zhijie Chen
Yoo Soo-Young
Kim Byoung-Jae
Ryu Bo-Rim
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Abstract
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Objectives: In the era of the Fourth Industrial Revolution, where an ecosystem is being developed to enhance the quality of healthcare services by applying information and communication technologies, systematic and sustainable data management is essential for medical institutions. In this study, we assessed the data management status and emerging concerns of three medical institutions, while also examining future directions for seamless data management.
Methods: To evaluate the data management status, we examined data types, capacities, infrastructure, backup methods, and related organizations. We also discussed challenges, such as resource and infrastructure issues, problems related to government regulations, and considerations for future data management.
Results: Hospitals are grappling with the increasing data storage space and a shortage of management personnel due to costs and project termination, which necessitates countermeasures and support. Data management regulations on the destruction or maintenance of medical records are needed, and institutional consideration for secondary utilization such as long-term treatment or research is required. Government-level guidelines for facilitating hospital data sharing and mobile patient services should be developed. Additionally, hospital executives at the organizational level need to make efforts to facilitate the clinical validation of artificial intelligence software.
Conclusions: This analysis of the current status and emerging issues of data management reveals potential solutions and sets the stage for future organizational and policy directions. If medical big data is systematically managed, accumulated over time, and strategically monetized, it has the potential to create new value.
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KEYWORD
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Data Managemen, Big Data, Health Information Systems, Electronic Health Records, Medical Records
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