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Architectural frameworks: defining the structures for implementing learning health systems.

Lysanne Lessard1,2, Wojtek Michalowski3,4, Michael Fung-Kee-Fung5,6

  • 1Telfer School of Management, University of Ottawa, 55 Ave. Laurier E, Ottawa, ON, K1N 6N5, Canada. Lessard@telfer.uottawa.ca.

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Summary
This summary is machine-generated.

Architectural frameworks can guide the development of learning health systems (LHSs). This approach helps adapt LHSs to specific contexts, improving health outcomes and reducing costs by identifying potential barriers and enablers.

Keywords:
Architectural frameworkDecision-support toolsLearning health systemPre-implementation

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Area of Science:

  • Health Systems Science
  • Health Services Research
  • Information Science

Background:

  • The vision of learning health systems (LHSs) aims to rapidly translate knowledge into improved health outcomes at lower costs.
  • Current LHS initiatives are diverse in goals, focus, and scale, hindering reproducibility and large-scale implementation.
  • A lack of standardized structures impedes the effective design and implementation of LHSs.

Purpose of the Study:

  • To propose the use of architectural frameworks for developing adaptable and scalable learning health systems.
  • To provide a structured approach for designing and implementing LHSs that align with organizational contexts.
  • To enhance decision-making processes in LHS development and evolution.

Main Methods:

  • Development of a high-level architectural framework for LHSs.
  • Incorporation of five key dimensions: goals, scientific, social, technical, and ethical.
  • Definition of six decision layers (performance, scientific, organizational, data, IT, ethics/security) within the framework.

Main Results:

  • The proposed framework offers a structured method for analyzing LHSs and simulating outcomes.
  • It acts as a decision-support tool, identifying potential barriers and enablers for LHS development.
  • The framework facilitates a clear understanding of decisions underlying LHS operations.

Conclusions:

  • Architectural frameworks can guide the development and evolution of learning health systems.
  • The proposed framework aids in adapting LHSs to specific organizational contexts while maintaining a recognized vision.
  • Further research is needed to assess the generalizability and refine the methods of the proposed framework.