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Evaluating Maturity Models in Healthcare Information Systems: A Comprehensive Review
1ECEO, Universidade Lusófona, 1749-024 Lisboa, Portugal.
Healthcare (Basel, Switzerland)
|August 14, 2025
Summary
Healthcare Information Systems (HISs) maturity models (MMs) guide organizations in planning and optimizing HIS implementations. Structured assessments improve clinical and operational performance, supporting digital transformation.
Area of Science:
- Health Informatics
- Information Systems Management
- Organizational Development
Background:
- Healthcare Information Systems (HISs) are critical for quality care and decision-making but face implementation challenges.
- Maturity Models (MMs) offer a framework for assessing and improving HIS readiness, processes, and adoption.
- Existing HIS implementations often falter due to complex healthcare environments.
Purpose of the Study:
- To conduct a comprehensive literature review of Maturity Models (MMs) applied in healthcare.
- To identify and categorize existing MMs used in various healthcare domains.
- To understand how MMs can facilitate effective HIS implementation and digital transformation.
Main Methods:
- Systematic literature review identifying 45 Maturity Models (MMs).
- Analysis of MM structures, scopes, and maturity stages.
- Categorization of MMs across healthcare domains like telemedicine, analytics, and electronic medical records.
Main Results:
- Identified 45 distinct Maturity Models (MMs) in healthcare information systems.
- Found common foundations in Capability Maturity Model Integration (CMMI) across many models.
- Demonstrated that structured maturity assessments enhance HIS planning, implementation, and optimization.
Conclusions:
- Maturity Models (MMs) provide a structured approach to improving HIS effectiveness.
- Effective HIS implementation through MMs leads to better clinical and operational performance.
- This review aids organizations in selecting appropriate MMs for digital transformation goals.
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