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Information System Maturity Models in Healthcare.
1ADVANCE, Rua Miguel Lupi, 20, 1200-781, Lisbon, Portugal. jorge.gomes@phd.iseg.ulisboa.pt.
Journal of Medical Systems
|October 18, 2018
Summary
Healthcare information systems (HIS) are vital for improving care quality and efficiency. Assessing HIS maturity reveals critical factors that enhance health information and knowledge management, benefiting patient outcomes and provider performance.
Area of Science:
- Health Informatics
- Information Systems Management
- Healthcare Quality Improvement
Background:
- Healthcare Information Systems (HIS) are essential for enhancing efficiency, cost-effectiveness, quality, and safety in medical care delivery.
- Investments in HIS are driven by the increasing burden of chronic diseases and the demand for improved healthcare quality and safety.
- Maturity Models (MM) provide a framework for assessing the evolutionary development of organizations and processes towards advanced capabilities.
Purpose of the Study:
- To conduct a state-of-the-art review of HIS, focusing on their maturity.
- To identify and characterize critical factors that determine HIS maturity in the healthcare sector.
- To explore the spectrum of Maturity Models applied to healthcare and their characteristics.
Main Methods:
- Systematic literature review of HIS and Maturity Models in healthcare.
- Analysis of HIS maturity determinants based on existing research.
- Characterization of various MM applied within the health sector.
Main Results:
- Identified key factors influencing the maturity of HIS.
- Cataloged and described a wide range of Maturity Models relevant to healthcare information systems.
- Highlighted the relationship between HIS maturity and improved information/knowledge management.
Conclusions:
- HIS maturity is a critical determinant for effective information and knowledge management in healthcare.
- The assessment of HIS maturity can guide strategic investments and improvements in healthcare delivery.
- Further research into HIS maturity models can optimize healthcare system performance and patient care.
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