Helmholtz Centre for Infection Research, Department of Epidemiology, Braunschweig, Germany.
Hannover Medical School (MHH), Hannover, Germany.
JMIR Public Health Surveill. 2020 Apr 29;6(2):e15860. doi: 10.2196/15860.
Digital health is a dynamic field that has been generating a large number of tools; many of these tools do not have the level of maturity required to function in a sustainable model. It is in this context that the concept of global goods maturity is gaining importance. Digital Square developed a global good maturity model (GGMM) for digital health tools, which engages the digital health community to identify areas of investment for global goods. The Surveillance Outbreak Response Management and Analysis System (SORMAS) is an open-source mobile and web application software that we developed to enable health workers to notify health departments about new cases of epidemic-prone diseases, detect outbreaks, and simultaneously manage outbreak response.
The objective of this study was to evaluate the maturity of SORMAS using Digital Square's GGMM and to describe the applicability of the GGMM on the use case of SORMAS and identify opportunities for system improvements.
We evaluated SORMAS using the GGMM version 1.0 indicators to measure its development. SORMAS was scored based on all the GGMM indicator scores. We described how we used the GGMM to guide the development of SORMAS during the study period. GGMM contains 15 subindicators grouped into the following core indicators: (1) global utility, (2) community support, and (3) software maturity.
The assessment of SORMAS through the GGMM from November 2017 to October 2019 resulted in full completion of all subscores (10/30, (33%) in 2017; 21/30, (70%) in 2018; and 30/30, (100%) in 2019). SORMAS reached the full score of the GGMM for digital health software tools by accomplishing all 10 points for each of the 3 indicators on global utility, community support, and software maturity.
To our knowledge, SORMAS is the first electronic health tool for disease surveillance, and also the first outbreak response management tool, that has achieved a 100% score. Although some conceptual changes would allow for further improvements to the system, the GGMM already has a robust supportive effect on developing software toward global goods maturity.
数字健康是一个充满活力的领域，已经产生了大量的工具；其中许多工具尚未达到可持续发展模式所需的成熟度。正是在这种背景下，全球商品成熟度的概念变得越来越重要。数字广场为数字健康工具开发了一个全球商品成熟度模型（GGMM），该模型使数字健康界能够确定全球商品投资领域。《监测爆发应对管理与分析系统》（SORMAS）是一个开源的移动和网络应用软件，我们开发它是为了使卫生工作者能够向卫生部门报告易流行疾病的新病例，发现疫情，并同时管理疫情应对。
本研究旨在使用数字广场的 GGMM 评估 SORMAS 的成熟度，并描述 GGMM 在 SORMAS 用例中的适用性，并确定系统改进的机会。
我们使用 GGMM 版本 1.0 指标来衡量 SORMAS 的发展情况，对 SORMAS 进行了评估。根据 GGMM 所有指标的得分，对 SORMAS 进行了评分。我们描述了在研究期间，我们如何使用 GGMM 来指导 SORMAS 的开发。GGMM 包含 15 个子指标，分为以下核心指标：（1）全球效用；（2）社区支持；（3）软件成熟度。
从 2017 年 11 月到 2019 年 10 月，通过 GGMM 对 SORMAS 的评估，导致所有子分数（2017 年为 10/30（33%）；2018 年为 21/30（70%）；2019 年为 30/30（100%））全部完成。SORMAS 通过在全球效用、社区支持和软件成熟度这 3 个指标上，每项都达到 10 分，从而达到了数字健康软件工具的 GGMM 满分。
据我们所知，SORMAS 是第一款用于疾病监测的电子健康工具，也是第一款疫情应对管理工具，达到了 100%的得分。尽管一些概念上的改变将允许对系统进行进一步改进，但 GGMM 已经对开发软件实现全球商品成熟度产生了强有力的支持作用。
