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[医疗保健的数字化及其对医疗质量的影响]

[Digitalization of healthcare and its effects on quality of care].

作者信息

Brönneke Jan Benedikt, Debatin Jörg Felix

机构信息

health innovation hub (hih), Bundesministerium für Gesundheit, Torstr. 223, 10115, Berlin, Deutschland.

出版信息

Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2022 Mar;65(3):342-347. doi: 10.1007/s00103-022-03493-3. Epub 2022 Feb 18.

Abstract

Ensuring the quality of healthcare services is a core concern of the statutory health insurance system. It is therefore not surprising that recent initiatives to (further) digitalize the healthcare system, specifically to introduce the electronic patient record and other applications in the telematics infrastructure, with the Patient Data Protection Act ("Patientendaten-Schutz-Gesetz", PDSG) of digital health applications with the Digital Care Act ("Digitale-Versorgung-Gesetz", DVG), or to strengthen hospital IT with the Hospital Future Act ("Krankenhauszukunftsgesetz", KHZG), are justified by ensuring or even increasing the quality-of-service provision.This article sheds light on the question of how the use of various digital solutions relates to the classic goals of quality assurance in healthcare, in particular, whether digital solutions are suitable for promoting quality assurance.It is shown that digital solutions are fundamentally suitable for ensuring quality. This is due to two characteristics of digital solutions: the possibility of comprehensive data collection and the possibility of making data available independent of time and place. However, it is also apparent that the benefits associated with digital solutions are highly dependent on the specific use cases.

摘要

确保医疗服务质量是法定医疗保险系统的核心关注点。因此,近期旨在(进一步)使医疗系统数字化的举措,特别是在远程信息处理基础设施中引入电子病历和其他应用程序,通过《数字健康应用程序患者数据保护法》(“Patientendaten-Schutz-Gesetz”,PDSG)以及《数字护理法》(“Digitale-Versorgung-Gesetz”,DVG)来规范数字健康应用程序,或者通过《医院未来法》(“Krankenhauszukunftsgesetz”,KHZG)来加强医院信息技术,都以确保甚至提高服务质量为依据,这并不令人惊讶。本文探讨了各种数字解决方案的使用与医疗保健质量保证的经典目标之间的关系问题,特别是数字解决方案是否适合促进质量保证。结果表明,数字解决方案从根本上适合确保质量。这归因于数字解决方案的两个特点:全面数据收集的可能性以及数据不受时间和地点限制的可用性。然而,同样明显的是,与数字解决方案相关的益处高度依赖于具体的用例。

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