Healthc Inform Res.  2023 Jul;29(3):209-217. 10.4258/hir.2023.29.3.209.

Current Status and Key Issues of Data Management in Tertiary Hospitals: A Case Study of Seoul National University Hospital

Affiliations
  • 1Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea
  • 2Interdisciplinary Program for Bioengineering, Graduate School, Seoul National University, Seoul, Korea
  • 3Office of Hospital Information, Seoul National University Hospital, Seoul, Korea
  • 4Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea
  • 5Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, Korea
  • 6Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
  • 7Information Systems and Technology, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, Seoul, Korea
  • 8Center for Data Science, Biomedical Research Institute, Seoul Metropolitan Government-Seoul National University Hospital Boramae Medical Center, Seoul, Korea

Abstract


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.

Keyword

Data Management, Big Data, Health Information Systems, Electronic Health Records, Medical Records

Figure

  • Figure 1 Schematic diagram of the computer center of Seoul National University Hospital. HIS, hospital information system; PACS, picture archiving and communication system; IDC, internet data center; SDDC, software-defined data center.

  • Figure 2 Big data analysis platform at Seoul National University Bundang Hospital. AWS: Amazon Web Services.

  • Figure 3 Picture archiving and communication systems (PACS) volume growth at Seoul National University Hospital.

  • Figure 4 Storage growth over time.

  • Figure 5 Details of Article 15 of the Enforcement Rule of the Medical Service Act (preservation of medical records).


Reference

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