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Software-Enabled Distributed Network Governance: The PopMedNet Experience.

Melanie Davies1, Kyle Erickson1, Zachary Wyner1

  • 1Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.

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Summary
This summary is machine-generated.

Distributed health data research networks are facilitated by the PopMedNet software platform. PopMedNet supports various network structures and governance models, addressing stakeholder needs for secure data sharing and research.

Keywords:
Data OwnershipGovernanceHealth Information TechnologyInformaticsPlatformsResearch NetworksResearch Operations

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Area of Science:

  • Health Informatics
  • Distributed Systems
  • Data Governance

Background:

  • Increased availability of electronic health information drives interest in distributed health data research networks.
  • Distributed research networks keep data with the data holder, presenting unique challenges for stakeholders.

Purpose of the Study:

  • To describe the PopMedNet software platform's design and governance models for distributed research networks.
  • To showcase how PopMedNet addresses stakeholder needs and enforces network governance.

Main Methods:

  • The PopMedNet software platform was developed to address concerns of network stakeholders.
  • Features include distributed querying, customizable workflows, and role-based access control.
  • Four case studies illustrate PopMedNet's application in enforcing network governance.

Main Results:

  • PopMedNet facilitates distributed querying, customizable workflows, and robust auditing.
  • Its flexible access control system enforces diverse governance policies.
  • Case studies demonstrate successful implementation of network governance models.

Conclusions:

  • The PopMedNet software platform is adaptable to various network structures, governance models, and research activities.
  • Customizable features cater to the specific needs of all network stakeholders.
  • PopMedNet supports the growth and evolution of distributed research networks.