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Barriers, Priorities and Lessons Learned in Achieving Electronic Health Records Interoperability in Low- and
Taiwo Adedeji1, Haythem Nakkas1, Hamish Fraser2
1University of Portsmouth, UK.
Studies in Health Technology and Informatics
|May 19, 2023
Summary
Achieving electronic health record (EHR) interoperability requires addressing data modeling and standards, especially for maternal and child health data services in low- and middle-income countries (LMICs). Experts identified these as key priorities for better health IT implementation.
Area of Science:
- Health Informatics
- Digital Health
- Information Systems in Healthcare
Background:
- Electronic Health Record (EHR) interoperability is a significant challenge in modern healthcare.
- Effective health data exchange is crucial for improving patient care and health system efficiency.
Purpose of the Study:
- To identify critical barriers to EHR interoperability.
- To determine priorities for new EHR implementations.
- To gather lessons learned from managing existing EHR implementations.
Main Methods:
- A qualitative workshop was conducted with domain experts in EHR implementation and health IT managers.
- Discussions focused on barriers, priorities, and lessons learned in EHR interoperability.
Main Results:
- Data modeling and interoperability standards were identified as critical priorities.
- These priorities are particularly vital for maternal and child health data services.
- The findings are relevant for low- and middle-income countries (LMICs).
Conclusions:
- Addressing data modeling and interoperability standards is essential for advancing EHR interoperability.
- Focusing on these priorities can improve health data services, especially in LMICs.
- Expert insights provide valuable guidance for EHR implementation and management.
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