Literature DB >> 35308975

Teaching Medical Students Health Care Failure Mode and Effect Analysis: A Case Study of Inpatient Pain Management Computerized Decision Support.

Blake Lesselroth1, William Dudney1, Juell Homco1, Melissa Van Cain1, Savanna Smith1, Audrey Corbett1.   

Abstract

There is a pressing need to provide health professional leaners experiential learning opportunities in health systems science and quality improvement. Moreover, there are several published tools to diagnose and treat health system vulnerabilities and hazards. The Health Care Failure Mode and Effect AnalysisTM (HFMEA) is a systems-engineering tool that the military and aerospace industries developed to proactively identify potential errors. While this technique has been used in a range of healthcare settings, there are few reports where health professional educators have used it with learners to teach quality improvement and systems engineering methods. We describe herewith an application of HFMEA in a medical informatics professional student rotation. In this manuscript, we briefly review HFMEA theory and methods, illustrate its application to address a quality improvement initiative, and reflect upon its value - and limitations - when used in an educational context. ©2021 AMIA - All rights reserved.

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Year:  2022        PMID: 35308975      PMCID: PMC8861736     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  15 in total

1.  Using health care Failure Mode and Effect Analysis: the VA National Center for Patient Safety's prospective risk analysis system.

Authors:  Joseph DeRosier; Erik Stalhandske; James P Bagian; Tina Nudell
Journal:  Jt Comm J Qual Improv       Date:  2002-05

2.  Falling through the cracks: information breakdowns in critical care handoff communication.

Authors:  Joanna Abraham; Vickie Nguyen; Khalid F Almoosa; Bela Patel; Vimla L Patel
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

3.  Core content for the subspecialty of clinical informatics.

Authors:  Reed M Gardner; J Marc Overhage; Elaine B Steen; Benson S Munger; John H Holmes; Jeffrey J Williamson; Don E Detmer
Journal:  J Am Med Inform Assoc       Date:  2008-12-11       Impact factor: 4.497

4.  The intersection of evidence-based practice with 5 quality improvement methodologies.

Authors:  Kristin L Seidl; Robin P Newhouse
Journal:  J Nurs Adm       Date:  2012-06       Impact factor: 1.737

5.  Failure mode and effects analysis: a comparison of two common risk prioritisation methods.

Authors:  Lisa M McElroy; Rebeca Khorzad; Anna P Nannicelli; Alexandra R Brown; Daniela P Ladner; Jane L Holl
Journal:  BMJ Qual Saf       Date:  2015-07-13       Impact factor: 7.035

6.  Beyond technology acceptance to effective technology use: a parsimonious and actionable model.

Authors:  Patricia J Holahan; Blake J Lesselroth; Kathleen Adams; Kai Wang; Victoria Church
Journal:  J Am Med Inform Assoc       Date:  2015-03-15       Impact factor: 4.497

7.  Use of Failure Mode and Effects Analysis to Improve Emergency Department Handoff Processes.

Authors:  Patricia Sorrentino
Journal:  Clin Nurse Spec       Date:  2016 Jan-Feb       Impact factor: 1.067

8.  How to make the most of failure mode and effect analysis.

Authors:  Erik Stalhandske; Joseph DeRosier; Bryanne Patail; John Gosbee
Journal:  Biomed Instrum Technol       Date:  2003 Mar-Apr

9.  Failure mode and effects analysis: A community practice perspective.

Authors:  Bradley W Schuller; Angi Burns; Elizabeth A Ceilley; Alan King; Joan LeTourneau; Alexander Markovic; Lynda Sterkel; Brigid Taplin; Jennifer Wanner; Jeffrey M Albert
Journal:  J Appl Clin Med Phys       Date:  2017-09-25       Impact factor: 2.102

10.  Evaluating inputs of failure modes and effects analysis in identifying patient safety risks.

Authors:  Mecit Can Emre Simsekler; Gulsum Kubra Kaya; James R Ward; P John Clarkson
Journal:  Int J Health Care Qual Assur       Date:  2019-02-11
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