How alignment between health systems and their embedded research units contributes to system learning

Healthc (Amst). 2023 Jun;11(2):100688. doi: 10.1016/j.hjdsi.2023.100688. Epub 2023 Mar 30.

Abstract

Background: There is growing interest in the contributions of embedded, learning health system (LHS), research within healthcare delivery systems. We examined the organization of LHS research units and conditions affecting their contributions to system improvement and learning.

Methods: We conducted 12 key-informant and 44 semi-structured interviews in six delivery systems engaged in LHS research. Using rapid qualitative analysis, we identified themes and compared: successful versus challenging projects; LHS units and other research units in the same system; and LHS units in different systems.

Results: LHS units operate both independently and as subunits within larger research centers. Contributions of LHS units to improvements and learning are influenced by alignment of facilitating factors within units, within the broader system, and between unit and host system. Key alignment factors were availability of internal (system) funding directing researchers' work toward system priorities; researchers' skills and experiences that fit a system's operational needs; LHS unit subculture supporting system improvement and collaboration with clinicians and other internal stakeholders; applications of external funding to system priorities; and executive leadership for system-wide learning. Mutual understanding and collaboration between researchers, clinicians, and leaders was fostered through direct consultation between LHS unit leaders and system executives and engagement of researchers in clinical and operational activities.

Conclusions: Embedded researchers face significant challenges to contributing to system improvement and learning. Nevertheless, when appropriately led, organized, and supported by internal funding, they may learn to collaborate effectively with clinicians and system leaders in advancing care delivery toward the learning health system ideal.

Keywords: Care delivery systems; Embedded research; Improvement; Learning health systems.

MeSH terms

  • Delivery of Health Care*
  • Government Programs
  • Humans
  • Learning
  • Learning Health System*