Kolukısa Tarhan Ayça, Garousi Vahid, Turetken Oktay, Söylemez Mehmet, Garossi Sonia
Department of Computer Engineering, Hacettepe University, Turkey.
School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, UK.
Digit Health. 2020 Apr 1;6:2055207620914772. doi: 10.1177/2055207620914772. eCollection 2020 Jan-Dec.
The maturity of practices and infrastructure in the health care domain directly impacts the quality and efficiency of health care services. Therefore, various health care administrations (e.g. from hospital management to the nationwide health authority) need to assess and improve their operational maturity.
This study aimed to review and classify studies that propose/use maturity assessment or maturity models (MMs) as a vehicle to achieve operational excellence in the health care domain.
To achieve this objective, we performed a multivocal literature review (MLR) - a form of systematic review that includes data from the grey literature (e.g. white papers and online documents) in addition to formal, peer-reviewed literature.
Based on 101 sources, 80 from peer-reviewed literature and 21 from the grey literature, we identified 68 different MMs on, for example, telemedicine, care pathways and digital imaging. We reviewed them with respect to various aspects, including types of research and contribution, list of MMs proposed/used with their subject areas, elements of maturity/capability and application scope or scale. In the synthesis of empirical benefits of using MMs, two were found to be significant: (a) identifying issues and providing guidance for improvement in health care contexts, and (b) improving efficiency, effectiveness, performance and productivity.
This MLR provides an overview of the landscape and serves as an index to the vast body of knowledge in this area. Our review creates an opportunity to cope with the challenges in obtaining an overview of the state-of-the-art and practice, choosing the most suitable models or developing new models with further specialties.
医疗保健领域实践和基础设施的成熟度直接影响医疗服务的质量和效率。因此，各类医疗保健管理部门（如从医院管理到全国性卫生机构）需要评估并提高其运营成熟度。
本研究旨在回顾和分类那些提出/使用成熟度评估或成熟度模型（MMs）作为在医疗保健领域实现卓越运营手段的研究。
为实现这一目标，我们进行了多源文献综述（MLR）——一种系统综述形式，除了正式的、经过同行评审的文献外，还包括来自灰色文献（如白皮书和在线文档）的数据。
基于101个来源，其中80个来自同行评审文献，21个来自灰色文献，我们识别出68种不同的成熟度模型，例如关于远程医疗、护理路径和数字成像的模型。我们从各个方面对它们进行了回顾，包括研究类型和贡献、所提出/使用的成熟度模型及其主题领域列表、成熟度/能力要素以及应用范围或规模。在综合使用成熟度模型的实证效益时，发现有两点显著：（a）识别问题并为医疗保健环境中的改进提供指导，（b）提高效率、效果、绩效和生产力。
本多源文献综述提供了该领域的概况，并作为这一广阔知识体系的索引。我们的综述创造了一个机会，以应对在获取最新技术水平和实践概况、选择最合适的模型或开发具有更多特色的新模型方面所面临的挑战。
