Open AccessDeveloping a highly‐reliable learning health system
Author(s) -
ElKareh Robert,
Brenner David A.,
Longhurst Christopher A.
Publication year - 2023
Publication title -
learning health systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.501
H-Index - 9
ISSN - 2379-6146
DOI - 10.1002/lrh2.10351
Subject(s) - health care , reliability (semiconductor) , commission , quality (philosophy) , pandemic , covid-19 , knowledge management , healthcare system , business , computer science , process management , public relations , medicine , political science , infectious disease (medical specialty) , disease , power (physics) , philosophy , physics , finance , epistemology , quantum mechanics , pathology , law
Multiple independent frameworks to support continuous improvement have been proposed to guide healthcare organizations. Two of the most visible are High‐reliability Health care, (Chassin et al., 2013) which is emphasized by The Joint Commission, and Learning Health Systems, (Institute of Medicine, 2011) highlighted by the National Academy of Medicine. We propose that organizations consider tightly linking these two models, creating a “Highly‐reliable Learning Health System.” We describe several efforts at our organization that has resulted from this combined model and have helped our organization weather the COVID‐19 pandemic. The organizational changes created using this framework will enable our health system to support a culture of quality across our teams and better fulfill our tripartite mission of high‐quality care, effective education of trainees, and dissemination of important innovations.