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A maturity grid assessment tool for learning networks.

Carole Lannon1,2,3, Christine L Schuler3,4, Michael Seid1,3,5

  • 1James M. Anderson Center for Health Systems Excellence Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA.

Learning Health Systems
|April 23, 2021
PubMed
Summary
This summary is machine-generated.

Developing learning health networks (LHSs) is complex. A new network maturity grid (NMG) tool helps assess and guide the development of these crucial healthcare systems.

Keywords:
learning health systemlearning networkmaturity gridquality improvement

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Area of Science:

  • Healthcare Systems Science
  • Health Services Research
  • Organizational Development

Background:

  • Learning healthcare systems (LHSs) offer a promising model for improved healthcare delivery.
  • The complexity of constructing and assessing multicomponent LHSs is a significant barrier.
  • Limited literature exists on the processes for developing and evaluating LHSs.

Purpose of the Study:

  • To develop and evaluate a tool for assessing the maturity of learning networks (LNs), which are collaborative LHSs.
  • To provide a framework for planning and guiding the development of LNs over time.

Main Methods:

  • Developed a network maturity grid (NMG) based on literature review, network theory, and expert opinion.
  • Incorporated feedback from network leadership teams to refine the NMG.
  • Assessed NMG scores over time for nine LNs and collected qualitative feedback on its application.

Main Results:

  • LN leaders found the NMG applicable and valuable for assessing network growth and development.
  • NMG scores over time reflected reported network progress in specific domains.
  • The NMG facilitated strategic discussions and highlighted variations in network maturation.

Conclusions:

  • The proposed network maturity grid (NMG) offers a practical framework for planning and developing learning health networks.
  • The NMG aids in understanding and guiding the complex process of LHS maturation.
  • The tool's application itself proved beneficial for network development.