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A Data Driven Approach to Achieving High Value Healthcare.

Lucy A Savitz1, Lisa T Weiss2

  • 1Kaiser Permanente Center for Health Research, US.

EGEMS (Washington, DC)
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The High Value Healthcare Collaborative (HVHC) shares learnings on improving healthcare value. This special issue details their methods for implementing complex interventions and using data for better health outcomes.

Keywords:
collaborationdata sharingevidence generationhigh-value care

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Area of Science:

  • Healthcare Management
  • Health Services Research
  • Learning Health Systems

Background:

  • The High Value Healthcare Collaborative (HVHC) is a member-led organization focused on improving healthcare value.
  • HVHC operates as a provider-based learning health system, emphasizing collaboration and evidence-based practices.
  • A grant from the John and Laura Arnold Foundation supported the development of a generalizable model for dissemination and implementation.

Purpose of the Study:

  • To disseminate learning and share experiences from the High Value Healthcare Collaborative (HVHC).
  • To provide context on the organization and structure of HVHC for a series of research papers.
  • To showcase the application of a learning health system model in a real-world healthcare setting.

Main Methods:

  • The implementation of a 3-hour sepsis bundle served as a complex intervention.
  • A mixed-methods evaluation was conducted across 16 member sites to assess the intervention.
  • Subsequent papers explore data challenges, the role of a Data Trust, and the use of health literacy measures.

Main Results:

  • Detailed descriptions of data and methodological challenges encountered during implementation, along with proposed solutions.
  • Exploration of how a Data Trust can address emerging questions relevant to member organizations.
  • Investigation into the impact of observation stays on readmission rates and the utility of health literacy measures.

Conclusions:

  • Effective implementation of complex interventions requires addressing data and methodological challenges.
  • Learning health systems, like HVHC, can drive improvements in healthcare value through collaboration and data utilization.
  • Fundamental data sources are crucial for supporting advanced data science and informed decision-making in healthcare.