A Rapid-Learning Health System

2007 ◽  
Vol 26 (Suppl1) ◽  
pp. w107-w118 ◽  
Author(s):  
Lynn M. Etheredge
Keyword(s):  
Health System ◽  
Rapid Learning ◽  
Learning Health System

scholarly journals An Analysis of the Learning Health System in Its First Decade in Practice: Scoping Review (Preprint)

2019 ◽  
Author(s):  
Jodyn E Platt ◽  
Minakshi Raj ◽  
Matthias Wienroth
Keyword(s):  
Health Care ◽  
Health System ◽  
Thematic Analysis ◽  
Scoping Review ◽  
Rapid Learning ◽  
The Past ◽  
Learning From Data ◽  
Learning Health System ◽  
Over Time ◽  
Value Of Health

BACKGROUND In the past decade, Lynn Etheredge presented a vision for the Learning Health System (LHS) as an opportunity for increasing the value of health care via rapid learning from data and immediate translation to practice and policy. An LHS is defined in the literature as a system that seeks to continuously generate and apply evidence, innovation, quality, and value in health care. OBJECTIVE This review aimed to examine themes in the literature and rhetoric on the LHS in the past decade to understand efforts to realize the LHS in practice and to identify gaps and opportunities to continue to take the LHS forward. METHODS We conducted a thematic analysis in 2018 to analyze progress and opportunities over time as compared with the initial <i>Knowledge Gaps and Uncertainties</i> proposed in 2007. RESULTS We found that the literature on the LHS has increased over the past decade, with most articles focused on theory and implementation; articles have been increasingly concerned with policy. CONCLUSIONS There is a need for attention to understanding the ethical and social implications of the LHS and for exploring opportunities to ensure that these implications are salient in implementation, practice, and policy efforts.

scholarly journals An Analysis of the Learning Health System in Its First Decade in Practice: Scoping Review

10.2196/17026 ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. e17026 ◽  
Author(s):  
Jodyn E Platt ◽  
Minakshi Raj ◽  
Matthias Wienroth
Keyword(s):  
Health Care ◽  
Health System ◽  
Thematic Analysis ◽  
Rapid Learning ◽  
The Past ◽  
Learning From Data ◽  
Learning Health System ◽  
Initial Knowledge ◽  
Over Time ◽  
Value Of Health

Background In the past decade, Lynn Etheredge presented a vision for the Learning Health System (LHS) as an opportunity for increasing the value of health care via rapid learning from data and immediate translation to practice and policy. An LHS is defined in the literature as a system that seeks to continuously generate and apply evidence, innovation, quality, and value in health care. Objective This review aimed to examine themes in the literature and rhetoric on the LHS in the past decade to understand efforts to realize the LHS in practice and to identify gaps and opportunities to continue to take the LHS forward. Methods We conducted a thematic analysis in 2018 to analyze progress and opportunities over time as compared with the initial Knowledge Gaps and Uncertainties proposed in 2007. Results We found that the literature on the LHS has increased over the past decade, with most articles focused on theory and implementation; articles have been increasingly concerned with policy. Conclusions There is a need for attention to understanding the ethical and social implications of the LHS and for exploring opportunities to ensure that these implications are salient in implementation, practice, and policy efforts.

CancerLinQ: Origins, Implementation, and Future Directions

2018 ◽  
pp. 1-7 ◽  
Author(s):  
Samuel M. Rubinstein ◽  
Jeremy L. Warner
Keyword(s):  
Health System ◽  
Health Systems ◽  
Future Directions ◽  
Rapid Learning ◽  
Learning Health System ◽  
Sequence Of Events ◽  
Current State ◽  
Data Capturing ◽  
Potential Benefits ◽  
Oncology Practice

Rapid-learning health systems have been proposed as a potential solution to the problem of quality in medicine, by leveraging data generated from electronic health systems in near-real time to improve quality and reduce cost. Given the complex, dynamic nature of cancer care, a rapid-learning health system offers large potential benefits to oncology practice. In this article, we review the rationale for developing a rapid-learning health system for oncology and describe the sequence of events that led to the development of ASCO’s CancerLinQ (Cancer Learning Intelligence Network for Quality) initiative, as well as the current state of CancerLinQ, including its importance to efforts such as the Beau Biden Cancer Moonshot. We then review the considerable challenges facing optimal implementation of a rapid-learning health system such as CancerLinQ, including integration of rapidly expanding multiomic data, capturing big data from a variety of sources, an evolving competitive landscape, and implementing a rapid-learning health system in a way that satisfies many stakeholders, including patients, providers, researchers, and administrators.

Generating Knowledge from Best Care: Advancing the Continuously Learning Health System

2016 ◽  
Vol 6 (9) ◽  
Author(s):  
Edward Abraham ◽  
◽  
Carlos Blanco ◽  
Celeste Castillo Lee ◽  
Jennifer B. Christian ◽  
...  
Keyword(s):  
Health System ◽  
Learning Health System

scholarly journals Sustainable generation of patient‐led resources in a learning health system

2021 ◽  
Author(s):  
Jennie David ◽  
Catalina Berenblum Tobi ◽  
Samantha Kennedy ◽  
Alexander Jofriet ◽  
Madeleine Huwe ◽  
...  
Keyword(s):  
Health System ◽  
Learning Health System

Using a learning health system to understand the mismatch between medicines supply and actual medicines use among adults with cystic fibrosis

2021 ◽  
Author(s):  
Amanda Bevan ◽  
Zhe Hui Hoo ◽  
Nikki Totton ◽  
Carla Girling ◽  
India R. Davids ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Health System ◽  
Learning Health System ◽  
Medicines Use

scholarly journals Analytical Methods for a Learning Health System: 1. Framing the Research Question

2017 ◽  
Vol 5 (1) ◽  
pp. 28
Author(s):  
Michael Stoto ◽  
Michael Oakes ◽  
Elizabeth Stuart ◽  
Lucy Savitz ◽  
Elisa L. Priest ◽  
...  
Keyword(s):  
Health System ◽  
Analytical Methods ◽  
Research Question ◽  
Learning Health System ◽  
System 1
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