Forsvik Heikki, Voipio Ville, Lamminen Johanna, Doupi Persephone, Hyppönen Hannele, Vuokko Riikka
Department of Signal Processing, Tampere University of Technology, P.O. Box 553, FI-33101, Tampere, Finland.
General Practice/Family Medicine, University of Turku, Turku, Finland.
J Med Syst. 2017 Feb;41(2):29. doi: 10.1007/s10916-016-0677-0. Epub 2016 Dec 27.
The Finnish Patient Data Repository is a nationwide electronic health record (EHR) system collecting patient data from all healthcare providers. The usefulness of the large amount of data stored in the system depends on the underlying data structures, and thus a solid understanding of these structures is in focus in further development of the data repository. This study seeks to improve that understanding by a systematic literature review. The review takes the physician's perspective to the use and usefulness of the data structures. The articles included in this review study data structures intended to be used in the actual care process. Secondary use and nursing aspects have been covered in separate reviews. After applying the predefined inclusion and exclusion criteria only 40 articles were included in the review. The research on widespread systems in everyday use was especially scarce, most studies concentrated on narrow fields. Majority of these studies were primarily developed for specialist use in secondary care units. Most structures or applications studied were at an early stage of development. In many applications the use of structured data was found to improve the completeness of the documented data and facilitate its automated use. However, there seem to be some applications where narrative text cannot be easily replaced by structured data. Usability results regarding structured representation were conflicting. The scattered nature and paucity of research hinders the generalizability of the findings, and from the system design or implementation point of view the practical value of the scientific literature reviewed is limited.
芬兰患者数据存储库是一个全国性的电子健康记录(EHR)系统,它从所有医疗服务提供者那里收集患者数据。系统中存储的大量数据的有用性取决于底层数据结构,因此,在数据存储库的进一步开发中,对这些结构的深入理解成为重点。本研究旨在通过系统的文献综述来增进这种理解。该综述从医生的角度探讨数据结构的使用和有用性。本综述纳入的文章研究的是打算在实际护理过程中使用的数据结构。二次使用和护理方面已在单独的综述中涵盖。在应用预定义的纳入和排除标准后,本综述仅纳入了40篇文章。对日常使用的广泛系统的研究尤其匮乏,大多数研究集中在狭窄领域。这些研究大多主要是为二级护理单位的专科使用而开发的。大多数研究的结构或应用尚处于开发的早期阶段。在许多应用中,发现使用结构化数据可提高记录数据的完整性并便于其自动化使用。然而,似乎有些应用中,叙述性文本不易被结构化数据取代。关于结构化表示的可用性结果相互矛盾。研究的分散性和匮乏性阻碍了研究结果的推广,并且从系统设计或实施的角度来看,所综述的科学文献的实用价值有限。