三级医院数据管理现状及关键问题——以首尔大学医院为例

IF 2.3 Q3 MEDICAL INFORMATICS
Jinwook Choi, Hyeryun Park, Eui Kyu Chie, Sae Won Choi, Ho-Young Lee, Sooyoung Yoo, Byoung Jae Kim, Borim Ryu
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引用次数: 0

摘要

目标:在第四次工业革命时代,正在开发一个生态系统,通过应用信息和通信技术来提高医疗保健服务的质量,系统和可持续的数据管理对医疗机构至关重要。在本研究中,我们评估了三家医疗机构的数据管理现状和新出现的问题,同时也探讨了无缝数据管理的未来方向。方法:为了评估数据管理状况,我们考察了数据类型、容量、基础设施、备份方法和相关组织。我们还讨论了挑战,例如资源和基础设施问题、与政府法规相关的问题以及对未来数据管理的考虑。结果:医院正面临着数据存储空间不断增大,管理人员因成本和项目终止而短缺的问题,需要相应的对策和支持。需要制定关于医疗记录销毁或保存的数据管理条例,并需要机构考虑二次利用,如长期治疗或研究。应制定政府层面的指导方针,促进医院数据共享和移动病人服务。此外,医院管理人员在组织层面需要努力促进人工智能软件的临床验证。结论:本文对数据管理的现状和新出现的问题进行了分析,揭示了潜在的解决方案,并为未来的组织和政策方向奠定了基础。如果对医疗大数据进行系统管理、长期积累并战略性货币化,它就有可能创造新的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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

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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来源期刊
Healthcare Informatics Research
Healthcare Informatics Research MEDICAL INFORMATICS-
CiteScore
4.90
自引率
6.90%
发文量
44
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