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Implementing a Cost-Efficient and Interoperable Health Data Infrastructure: A Multi-Region Finnish Case Study.

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Finnish wellbeing services counties created standardized data lakes through collaboration, integrating top-down mandates with agile methods. This approach improved reporting, reduced costs, and enhanced efficiency in digital health reform.

Keywords:
DataInteroperabilityMulti-County CollaborationPublic Sector Reform

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Area of Science:

  • Health Informatics
  • Public Health Policy
  • Information Systems Management

Background:

  • National health reform mandates necessitated a large-scale, collaborative data infrastructure project across three Finnish wellbeing services counties.
  • The project aimed to develop standardized yet distributed data lake solutions to manage health data effectively.

Purpose of the Study:

  • To analyze the management of organizational, political, semantic, and technical interoperability in a collaborative digital health infrastructure project.
  • To evaluate the effectiveness of a standardized, distributed data model in achieving digital health reform goals.

Main Methods:

  • A qualitative case study approach was employed.
  • The European Interoperability Framework (EIF) was used as an analytical lens.
  • Analysis focused on the joint management of interoperability dimensions.

Main Results:

  • Legislative obligations initiated the collaboration, but operational coordination, agile methods, and shared technical frameworks were crucial for success.
  • The deployment of parallel yet aligned environments led to standardized reporting, reduced duplication of efforts, and improved cost-efficiency.
  • The project successfully integrated top-down mandates with localized coordination and technical agility.

Conclusions:

  • Sustainable digital health reform requires a holistic approach addressing all European Interoperability Framework (EIF) dimensions.
  • Integrating legislative mandates with localized coordination and technical agility is key to successful data infrastructure projects.
  • Future evaluations should focus on the long-term cost-effectiveness, scalability, and governance sustainability of the implemented model.