Gomes Jorge, Romão Mário
ECEO, Universidade Lusófona, 1749-024 Lisboa, Portugal.
ADVANCE/ISEG Research, ISEG-Instituto Superior de Economia e Gestão, 1200-781 Lisboa, Portugal.
Healthcare (Basel). 2025 Jul 29;13(15):1847. doi: 10.3390/healthcare13151847.
Healthcare Information Systems (HISs) are essential for improving care quality, managing chronic diseases, and supporting clinical decision-making. Despite significant investments, HIS implementations often fail due to the complexity of healthcare environments. Maturity Models (MMs) have emerged as tools to guide organizational improvement by assessing readiness, process efficiency, technology adoption, and interoperability. This study presents a comprehensive literature review identifying 45 Maturity Models used across various healthcare domains, including telemedicine, analytics, business intelligence, and electronic medical records. These models, often based on Capability Maturity Model Integration (CMMI), vary in structure, scope, and maturity stages. The findings demonstrate that structured maturity assessments help healthcare organizations plan, implement, and optimize HIS more effectively, leading to enhanced clinical and operational performance. This review contributes to an understanding of how different MMs can support healthcare digital transformation and provides a resource for selecting appropriate models based on specific organizational goals and technological contexts.
医疗保健信息系统(HISs)对于提高护理质量、管理慢性病以及支持临床决策至关重要。尽管投入巨大,但由于医疗保健环境的复杂性,HIS的实施往往失败。成熟度模型(MMs)已成为通过评估准备情况、流程效率、技术采用和互操作性来指导组织改进的工具。本研究进行了全面的文献综述,确定了在远程医疗、分析、商业智能和电子病历等各个医疗领域使用的45种成熟度模型。这些模型通常基于能力成熟度模型集成(CMMI),在结构、范围和成熟阶段各不相同。研究结果表明,结构化的成熟度评估有助于医疗保健组织更有效地规划、实施和优化HIS,从而提高临床和运营绩效。本综述有助于理解不同的MMs如何支持医疗保健数字化转型,并为根据特定组织目标和技术背景选择合适的模型提供资源。
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