A nationwide digital maturity assessment of hospitals – Results from the German DigitalRadar

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Health Policy and Technology Pub Date : 2024-09-01 DOI:10.1016/j.hlpt.2024.100904
Alexander Geissler , Johannes Hollenbach , Malte Haring , Volker Eric Amelung , Sylvia Thun , Alexander Haering
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Abstract

Objectives

In 2019, the German government established the Hospital Future Fund, allocating 4.3 billion Euros, to support investments in the digital infrastructure of hospitals. The DigitalRadar consortium was commissioned by the German Ministry of Health in 2020 to develop a holistic digital maturity model and evaluate the current state of digitalization and the impact of the funding program. To date, the nationwide digitalization of German hospitals has remained a relatively understudied phenomenon. This study aims to address this gap in knowledge by examining the influence of various factors identified by the DigitalRadar maturity model on the digital maturity of hospitals in Germany. In doing so, it seeks to elucidate the implications these findings have for the development of a digital, patient-centred, safe, and high-quality hospital landscape in the country.

Methods

The model was developed through a scoping review of digital maturity models, requirements set forth in the Hospital Future Act, analysis of components from existing models and feedback from a sounding board. Ultimately, the model includes 234 questions (items) categorized into 7 dimensions of digitalization. It was piloted in 12 hospitals and revised accordingly. 1,624 hospitals (91% of all German hospitals) participated in this self-assessment, as participation was mandatory to receive funding.

Results

The average DigitalRadar score on a 100-point scale is 33. Maturity is comparatively high in the structures and systems dimension, but low in the clinical processes, exchange of information, telemedicine and patient participation dimensions, suggesting that data exchange is hampered by a lack of interoperability. Drivers of digital maturity are teaching status, size, connectivity, and level of emergency services.

Conclusions

The transparency gained allows hospitals and regulators to identify areas for improvement and develop digital strategies. Additionally, it enables researchers to analyse, for example, the correlation between digitalization and the quality of care, as well as the mechanisms of action of large-scale funding programs for hospital digitization.

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全国医院数字化成熟度评估 - 德国数字雷达的结果
目标2019年,德国政府设立了医院未来基金,拨款43亿欧元,用于支持对医院数字化基础设施的投资。2020 年,德国卫生部委托 DigitalRadar 财团开发一个全面的数字化成熟度模型,并对数字化现状和该基金项目的影响进行评估。迄今为止,德国全国范围内的医院数字化仍是一个研究相对不足的现象。本研究旨在通过考察 DigitalRadar 成熟度模型所确定的各种因素对德国医院数字化成熟度的影响,弥补这一知识空白。方法该模型是通过对数字化成熟度模型、《医院未来法案》中提出的要求、对现有模型组成部分的分析以及咨询委员会的反馈意见进行范围审查后开发出来的。最终,该模型包括 234 个问题(项目),分为数字化的 7 个方面。该模型在 12 家医院进行了试点,并进行了相应的修订。1624家医院(占德国医院总数的91%)参与了此次自我评估,因为参与评估是获得资助的必要条件。在结构和系统方面的成熟度相对较高,但在临床流程、信息交换、远程医疗和患者参与方面的成熟度较低,这表明数据交换因缺乏互操作性而受到阻碍。数字化成熟度的驱动因素包括教学状况、规模、连通性和急救服务水平。此外,它还能让研究人员分析数字化与医疗质量之间的相关性,以及医院数字化大型资助项目的作用机制等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health Policy and Technology
Health Policy and Technology Medicine-Health Policy
CiteScore
9.20
自引率
3.30%
发文量
78
审稿时长
88 days
期刊介绍: Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics
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