Literature DB >> 34232148

What can a learning healthcare system teach us about improving outcomes?

Jonathan D Casey1, Katherine R Courtright2, Todd W Rice1, Matthew W Semler1.   

Abstract

PURPOSE OF REVIEW: This review describes the learning healthcare system paradigm, recent examples, and future directions. Patients, clinicians, and health systems frequently encounter decisions between available treatments, technologies, and healthcare delivery methods with little or no evidence about the comparative effectiveness and safety of the available options. Learning healthcare systems endeavor to recognize such knowledge gaps, integrate comparative effectiveness research - including clinical trials - into clinical care to address the knowledge gaps, and seamlessly implement the results into practice to improve care and patient outcomes. RECENT
FINDINGS: Recent studies comparing the effectiveness of diagnostic tests and treatments, using information technology to identify patients likely to experience an outcome or benefit from an intervention, and evaluating models of healthcare delivery have demonstrated how a learning healthcare system approach can reduce arbitrary variation in care, decrease cost, and improve patient outcomes.
SUMMARY: Learning healthcare systems have the potential to answer questions of importance to patients, clinicians, and health system leaders, improve efficiency of healthcare delivery, and improve patient outcomes. Achieving this goal will require realignment of the culture around clinical care, institutional and federal investment, expanded stakeholder engagement, tailored ethical and regulatory guidance, and methodologic advances in information technology and biostatistics.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 34232148      PMCID: PMC8744083          DOI: 10.1097/MCC.0000000000000857

Source DB:  PubMed          Journal:  Curr Opin Crit Care        ISSN: 1070-5295            Impact factor:   3.359


  52 in total

1.  Cluster-Randomized, Crossover Trial of Head Positioning in Acute Stroke.

Authors:  Craig S Anderson; Hisatomi Arima; Pablo Lavados; Laurent Billot; Maree L Hackett; Verónica V Olavarría; Paula Muñoz Venturelli; Alejandro Brunser; Bin Peng; Liying Cui; Lily Song; Kris Rogers; Sandy Middleton; Joyce Y Lim; Denise Forshaw; C Elizabeth Lightbody; Mark Woodward; Octavio Pontes-Neto; H Asita De Silva; Ruey-Tay Lin; Tsong-Hai Lee; Jeyaraj D Pandian; Gillian E Mead; Thompson Robinson; Caroline Watkins
Journal:  N Engl J Med       Date:  2017-06-22       Impact factor: 91.245

2.  Disparities in participation in cancer clinical trials in the United States : a symptom of a healthcare system in crisis.

Authors:  Gerardo Colon-Otero; Robert C Smallridge; Lawrence A Solberg; Thomas D Keith; Timothy A Woodward; Floyd B Willis; Ajani N Dunn
Journal:  Cancer       Date:  2008-02-01       Impact factor: 6.860

3.  STREPTOMYCIN treatment of pulmonary tuberculosis.

Authors: 
Journal:  Br Med J       Date:  1948-10-30

4.  Bag-Mask Ventilation during Tracheal Intubation of Critically Ill Adults.

Authors:  Jonathan D Casey; David R Janz; Derek W Russell; Derek J Vonderhaar; Aaron M Joffe; Kevin M Dischert; Ryan M Brown; Aline N Zouk; Swati Gulati; Brent E Heideman; Michael G Lester; Alexandra H Toporek; Itay Bentov; Wesley H Self; Todd W Rice; Matthew W Semler
Journal:  N Engl J Med       Date:  2019-02-18       Impact factor: 91.245

5.  Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration.

Authors:  Gabriel J Escobar; Vincent X Liu; Alejandro Schuler; Brian Lawson; John D Greene; Patricia Kipnis
Journal:  N Engl J Med       Date:  2020-11-12       Impact factor: 91.245

6.  Detecting Sepsis: Are Two Opinions Better Than One?

Authors:  Poushali Bhattacharjee; Matthew M Churpek; Ashley Snyder; Michael D Howell; Dana P Edelson
Journal:  J Hosp Med       Date:  2017-04       Impact factor: 2.960

7.  A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

Authors:  Heather M Giannini; Jennifer C Ginestra; Corey Chivers; Michael Draugelis; Asaf Hanish; William D Schweickert; Barry D Fuchs; Laurie Meadows; Michael Lynch; Patrick J Donnelly; Kimberly Pavan; Neil O Fishman; C William Hanson; Craig A Umscheid
Journal:  Crit Care Med       Date:  2019-11       Impact factor: 7.598

8.  Effect of a fluid bolus on cardiovascular collapse among critically ill adults undergoing tracheal intubation (PrePARE): a randomised controlled trial.

Authors:  David R Janz; Jonathan D Casey; Matthew W Semler; Derek W Russell; James Dargin; Derek J Vonderhaar; Kevin M Dischert; Jason R West; Susan Stempek; Joanne Wozniak; Nicholas Caputo; Brent E Heideman; Aline N Zouk; Swati Gulati; William S Stigler; Itay Bentov; Aaron M Joffe; Todd W Rice
Journal:  Lancet Respir Med       Date:  2019-10-01       Impact factor: 30.700

9.  Use of effective contraception following provision of the progestogen-only pill for women presenting to community pharmacies for emergency contraception (Bridge-It): a pragmatic cluster-randomised crossover trial.

Authors:  Sharon T Cameron; Anna Glasier; Lisa McDaid; Andrew Radley; Paula Baraitser; Judith Stephenson; Richard Gilson; Claire Battison; Kathleen Cowle; Mark Forrest; Beatriz Goulao; Anne Johnstone; Alessandra Morelli; Susan Patterson; Alison McDonald; Thenmalar Vadiveloo; John Norrie
Journal:  Lancet       Date:  2020-11-14       Impact factor: 202.731

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  2 in total

1.  The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care.

Authors:  Heather Meissen; Michelle Ng Gong; An-Kwok Ian Wong; Jerry J Zimmerman; Nalini Nadkarni; Sandra L Kane-Gil; Javier Amador-Castaneda; Heatherlee Bailey; Samuel M Brown; Ashley D DePriest; Ifeoma Mary Eche; Mayur Narayan; Jose Javier Provencio; Nneka O Sederstrom; Jonathan Sevransky; Jordan Tremper; Rebecca A Aslakson
Journal:  Crit Care Explor       Date:  2022-03-15

2.  Embedded point of care randomisation for evaluating comparative effectiveness questions: PROSPECTOR-critical care feasibility study protocol.

Authors:  Matthew G Wilson; Folkert W Asselbergs; Ruben Miguel; David Brealey; Steve K Harris
Journal:  BMJ Open       Date:  2022-09-19       Impact factor: 3.006

  2 in total

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