Literature DB >> 27693565

The Learning Healthcare System: Where are we now? A systematic review.

Andrius Budrionis1, Johan Gustav Bellika2.   

Abstract

BACKGROUND AND
OBJECTIVE: The Learning Healthcare System paradigm has attracted the attention of researchers worldwide. The great potential originating from high-scale health data reuse and the inclusion of patient perspectives into care models promises personalized care, lower costs of health services and minimized consumption of resources. The aim of this review is to summarize the attempts to adopt the novel paradigm, putting emphasis on implementations and evaluating the impact on current medical practices.
METHOD: PRISMA methodology was followed for structuring the review process. Three major research databases (PubMed, IEEE Xplore and ACM DL) were queried with the predefined search terms "learning healthcare" and "learning health". Publications containing specific theoretical or empirical results were considered.
RESULTS: Three hundred and fifty-eight publications were identified; however, only 32 met the inclusion criteria. Nineteen papers were characterized as theoretical contributions, while the rest presented empirical achievements. Only one paper described the initial estimates of impact and economy. DISCUSSION: Individualistic communication of studies ignoring popular frameworks for assessing and reporting research achievements prevents the systematic generation of knowledge. Evaluating the impact of the Learning Healthcare System instances where it is implemented could work as a catalyst in reaching higher acceptance and adoption of the proposed ideas by healthcare worldwide; however, it mostly remains described in theory.
CONCLUSIONS: The review demonstrated the interest of researchers in exploring the Learning Healthcare System ideas. However, it also revealed minimal focus on evaluating the impact of the novel paradigm on both healthcare service delivery and patient outcome. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Data reuse; Impact evaluation; Learning healthcare; Personalized care

Mesh:

Year:  2016        PMID: 27693565     DOI: 10.1016/j.jbi.2016.09.018

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  59 in total

Review 1.  Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress.

Authors:  S M Meystre; C Lovis; T Bürkle; G Tognola; A Budrionis; C U Lehmann
Journal:  Yearb Med Inform       Date:  2017-09-11

2.  Behavioral and Social Sciences at the National Institutes of Health: adoption of research findings in health research and practice as a scientific priority.

Authors:  William T Riley
Journal:  Transl Behav Med       Date:  2017-06       Impact factor: 3.046

3.  Improving the Odds of Success for Precision Medicine Using the Social Ecological Model.

Authors:  Scott P McGrath
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

4.  Characterizing communication patterns among members of the clinical care team to deliver breast cancer treatment.

Authors:  Bryan D Steitz; Kim M Unertl; Mia A Levy
Journal:  J Am Med Inform Assoc       Date:  2020-02-01       Impact factor: 4.497

Review 5.  Big Data and Digital Solutions: Laying the Foundation for Cardiovascular Population Management CME.

Authors:  Khurram Nasir; Zulqarnain Javed; Safi U Khan; Stephen L Jones; Julia Andrieni
Journal:  Methodist Debakey Cardiovasc J       Date:  2020 Oct-Dec

6.  Regional process redesign of lung cancer care: a learning health system pilot project.

Authors:  M Fung-Kee-Fung; D E Maziak; J R Pantarotto; J Smylie; L Taylor; T Timlin; T Cacciotti; P J Villeneuve; C Dennie; C Bornais; S Madore; J Aquino; P Wheatley-Price; R S Ozer; D J Stewart
Journal:  Curr Oncol       Date:  2018-02-28       Impact factor: 3.677

7.  Precision medicine in anesthesiology.

Authors:  Laleh Jalilian; Maxime Cannesson
Journal:  Int Anesthesiol Clin       Date:  2020

8.  Alliances to disseminate addiction prevention and treatment (ADAPT): A statewide learning health system to reduce substance use among justice-involved youth in rural communities.

Authors:  Matthew C Aalsma; Gregory A Aarons; Zachary W Adams; Madison D Alton; Malaz Boustani; Allyson L Dir; Peter J Embi; Shaun Grannis; Leslie A Hulvershorn; Douglas Huntsinger; Cara C Lewis; Patrick Monahan; Lisa Saldana; Katherine Schwartz; Kosali I Simon; Nicolas Terry; Sarah E Wiehe; Tamika C B Zapolski
Journal:  J Subst Abuse Treat       Date:  2021-03-16

9.  Social dynamics of a population-level dashboard for antimicrobial stewardship: A qualitative analysis.

Authors:  Peter Taber; Charlene Weir; Jorie M Butler; Christopher J Graber; Makoto M Jones; Karl Madaras-Kelly; Yue Zhang; Ann F Chou; Matthew H Samore; Matthew Bidwell Goetz; Peter A Glassman
Journal:  Am J Infect Control       Date:  2021-01-27       Impact factor: 2.918

10.  Logic model framework for considering the inputs, processes and outcomes of a healthcare organisation-research partnership.

Authors:  Amir Alishahi Tabriz; Susan A Flocke; Deirdre Shires; Karen E Dyer; Michelle Schreiber; Jennifer Elston Lafata
Journal:  BMJ Qual Saf       Date:  2019-12-11       Impact factor: 7.035

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.