StayCurrentMD · Learning health systems
Article1 min read·Published Dec 2018Older

Learning health systems

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Article · Dec 2018 · 1 min read

In brief

In brief

This article examines how learning health systems integrate EHR data with quality improvement and research to continuously enhance pediatric care delivery. It highlights PEDSnet as a model for national pediatric LHS architecture, discussing implementation challenges and collaborative strategies for improving patient outcomes through data-driven healthcare.

Written by the GCMD Library team from the article.

Publication date: Available online 25 October 2018

Source: Seminars in Pediatric Surgery

Author(s): Katherine J. Deans, Sara Sabihi, Christopher B. Forrest

Abstract

Healthcare organizations have invested significant resources into integrating comprehensive electronic health record (EHR) systems into clinical care. EHRs digitize healthcare in ways that allow for repurposing of clinical information to support quality improvement, research, population health, and health system analytics. This has facilitated the development of Learning Health Systems. Learning health systems (LHS) merge healthcare delivery with research, data science, and quality improvement processes. The LHS cycle begins and ends with the clinician-patient interaction, and aspires to provide continuous improvements in quality, outcomes, and health care efficiency. Although, the health sector has been slow to embrace the LHS concept, innovative approaches for improving healthcare, such as a LHS, have shown that better outcomes can be achieved by engaging patients and physicians in communities committed to a common purpose. Here, we explore the mission of a pediatric LHS, such as PEDSnet, which is driven by the distinctive goals of a child's well-being. Its vision is to create a national LHS architecture in which all pediatric institutions can participate. While challenges still exist in the development and adoption of LHS, these challenges are being met with innovative strategies and strong collaborative relationships to reduce system uncertainty while improving patient outcomes.

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