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Health Data Sharing with the Goal of Value Creation; Trying to Develop a Framework Using Qualitative Content Analysis
Mojtaba Zonoobi1, Shaban Elahi2, Mohammad Khansari3
1Information Technology Management Department, Tarbiat Modares University, Tehran, Iran.
Archives of Academic Emergency Medicine
|January 1, 2024
Summary
This study identifies key factors driving and inhibiting health data sharing. Understanding these elements is crucial for improving healthcare data management and utilization.
Area of Science:
- Health Informatics
- Data Management
- Healthcare Systems
Background:
- Extensive discussions exist on privacy and big data management within health data sharing.
- Need for a comprehensive framework to create value from health data sharing.
Purpose of the Study:
- To provide a comprehensive framework for health data sharing.
- To identify driving and inhibiting factors influencing health data sharing.
Main Methods:
- Qualitative content analysis using systematic review and expert interviews.
- Grounded theory methodology with open, axial, and selective coding.
- Utilized MAXQDA software for data analysis.
Main Results:
- Identified 7 core categories and 44 subcategories as driving factors for health data sharing.
- Identified 6 main categories and 36 subcategories as inhibiting factors.
- Driving factors include technology, education, patient management, data utilization, legal aspects, and health factors.
- Inhibiting factors include security, privacy, legal issues, organizational influences, monitoring, financial, and inter-organizational challenges.
Conclusions:
- Key driving and inhibiting factors influencing healthcare data sharing have been identified.
- These factors enhance understanding of data sharing dynamics in healthcare information systems.
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