信息质量对芬兰国家医疗保健质量登记信息二次利用的重要性。

IF 1.3 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Methods of Information in Medicine Pub Date : 2025-01-29 DOI:10.1055/a-2511-7866
Anna Frondelius, Ulla-Mari Kinnunen, Vesa Jormanainen
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引用次数: 0

摘要

背景:国家卫生保健质量登记的目的是监测、评估和提高卫生保健质量。在质量寄存器中使用的信息必须是高质量的,以确保由寄存器产生的信息是可靠和有用的。在芬兰,质量登记信息的主要来源之一是国家坎塔服务。本研究的目的是提高对信息质量对国家卫生保健质量登记册中信息二次使用的重要性的认识,并提供关于国家Kanta服务的信息质量是否支持国家质量登记册的信息需求以及应如何开发信息质量的信息。方法通过对6名国家卫生保健质量登记机构专家的访谈收集研究数据,采用基于DeLone和McLean模型的理论驱动定性内容分析方法进行分析。结果调查结果表明,坎塔服务信息的相关性满足了国家质量登记机构的信息需求。然而,由于结构化信息的数量有限,信息的完整性不足,相关信息不能得到充分利用。信息质量的不足给信息检索带来了挑战,也阻碍了报告结论的得出。信息质量方面的挑战并没有削弱人们在认为信息相关时使用这些信息的意愿。改善信息质量的解决方案包括结构、文档实践的开发、患者信息系统和质量保证,以及利益相关者之间的合作。结论Kanta服务信息与国家卫生保健质量登记相关,但提高信息质量,特别是信息结构和完整性,是充分利用这些信息的关键。
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The Significance of Information Quality for the Secondary Use of the Information in the National Health Care Quality Registers in Finland.

Background:  The aim of the national health care quality registers is to monitor, assess, and improve the quality of care. The information utilized in quality registers must be of high quality to ensure that the information produced by the registers is reliable and useful. In Finland, one of the key sources of information for the quality registers is the national Kanta services.

Objectives:  The objective of the study was to increase understanding of the significance of information quality for the secondary use of the information in the national health care quality registers and to provide information on whether the information quality of the national Kanta services supports the information needs of the national quality registers, and how information quality should be developed.

Methods:  The research data were collected by interviewing six experts responsible for national health care quality registers, and it was analyzed using theory-driven qualitative content analysis based on the DeLone and McLean model.

Results:  Based on the results, the relevance of the information in the Kanta services met the information needs of the national quality registers. However, due to the limited amount of structured information and deficiencies in the completeness of the information, relevant information could not be fully utilized. Deficiencies in information quality posed challenges in information retrieval and hindered drawing conclusions in reporting. Challenges in information quality did not diminish the intention to use the information when information was considered relevant. Solutions to improve information quality included structuring, development of documentation practices, patient information systems and quality assurance, as well as collaboration among stakeholders.

Conclusion:  The Kanta services' information is relevant for the national health care quality registers, but developing the quality of the information, especially in terms of structures and completeness, is the key to fully enabling the secondary use of this information.

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来源期刊
Methods of Information in Medicine
Methods of Information in Medicine 医学-计算机:信息系统
CiteScore
3.70
自引率
11.80%
发文量
33
审稿时长
6-12 weeks
期刊介绍: Good medicine and good healthcare demand good information. Since the journal''s founding in 1962, Methods of Information in Medicine has stressed the methodology and scientific fundamentals of organizing, representing and analyzing data, information and knowledge in biomedicine and health care. Covering publications in the fields of biomedical and health informatics, medical biometry, and epidemiology, the journal publishes original papers, reviews, reports, opinion papers, editorials, and letters to the editor. From time to time, the journal publishes articles on particular focus themes as part of a journal''s issue.
期刊最新文献
Harnessing Advanced Machine Learning Techniques for Microscopic Vessel Segmentation in Pulmonary Fibrosis Using Novel Hierarchical Phase-Contrast Tomography (HiP-CT) Images. Deciphering Abbreviations in Malaysian Clinical Notes Using Machine Learning. The Significance of Information Quality for the Secondary Use of the Information in the National Health Care Quality Registers in Finland. Leveraging Guideline-Based Clinical Decision Support Systems with Large Language Models: A Case Study with Breast Cancer. Cross-lingual Natural Language Processing on Limited Annotated Case/Radiology Reports in English and Japanese: Insights from the Real-MedNLP Workshop.
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