Literature DB >> 27341177

Professional and interprofessional differences in electronic health records use and recognition of safety issues in critically ill patients.

Knewton K Sakata1, Laurel S Stephenson2, Ashley Mulanax3, Jesse Bierman4, Karess Mcgrath1, Gretchen Scholl1, Adrienne McDougal3, David T Bearden4, Vishnu Mohan5, Jeffrey A Gold1,5.   

Abstract

During interprofessional intensive care unit (ICU) rounds each member of the interprofessional team is responsible for gathering and interpreting information from the electronic health records (EHR) to facilitate effective team decision-making. This study was conducted to determine how each professional group reviews EHR data in preparation for rounds and their ability to identify patient safety issues. Twenty-five physicians, 29 nurses, and 20 pharmacists participated. Individual participants were given verbal and written sign-out and then asked to review a simulated record in our institution's EHR, which contained 14 patient safety items. After reviewing the chart, subjects presented the patient and the number of safety items recognised was recorded. About 40%, 30%, and 26% of safety issues were recognised by physicians, nurses, and pharmacists, respectively (p = 0.0006) and no item recognised 100% of the time. There was little overlap between the three groups with only 50% of items predicted to be recognised 100% of the time by the team. Differential recognition was associated with marked differences in EHR use, with only 3/152 EHR screens utilised by all three groups and the majority of screens used exclusively only by one group. There were significant and non-overlapping differences in individual profession recognition of patient safety issues in the EHR. Preferential identification of safety issues by certain professional groups may be attributed to differences in EHR use. Future studies will be needed to determine if shared decision-making during rounds can improve recognition of safety issues.

Entities:  

Keywords:  Communication; interprofessional collaboration; interprofessional practice; quantitative method; simulation; team effectiveness

Mesh:

Year:  2016        PMID: 27341177      PMCID: PMC5820021          DOI: 10.1080/13561820.2016.1193479

Source DB:  PubMed          Journal:  J Interprof Care        ISSN: 1356-1820            Impact factor:   2.338


  33 in total

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2.  The effect of multidisciplinary care teams on intensive care unit mortality.

Authors:  Michelle M Kim; Amber E Barnato; Derek C Angus; Lee A Fleisher; Lee F Fleisher; Jeremy M Kahn
Journal:  Arch Intern Med       Date:  2010-02-22

3.  "e-Iatrogenesis": the most critical unintended consequence of CPOE and other HIT.

Authors:  Jonathan P Weiner; Toni Kfuri; Kitty Chan; Jinnet B Fowles
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

4.  Mastery learning of thoracentesis skills by internal medicine residents using simulation technology and deliberate practice.

Authors:  Diane B Wayne; Jeffrey H Barsuk; Kevin J O'Leary; Monica J Fudala; William C McGaghie
Journal:  J Hosp Med       Date:  2008-01       Impact factor: 2.960

5.  Improving diagnostic accuracy using EHR in emergency departments: A simulation-based study.

Authors:  Ofir Ben-Assuli; Doron Sagi; Moshe Leshno; Avinoah Ironi; Amitai Ziv
Journal:  J Biomed Inform       Date:  2015-03-25       Impact factor: 6.317

6.  Clinician preferences for verbal communication compared to EHR documentation in the ICU.

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Journal:  Appl Clin Inform       Date:  2011-06-08       Impact factor: 2.342

7.  Use of electronic health record documentation by healthcare workers in an acute care hospital system.

Authors:  Daleen Aragon Penoyer; Kendall H Cortelyou-Ward; Alice M Noblin; Tim Bullard; Steve Talbert; Jason Wilson; Beatrice Schafhauser; Joshua G Briscoe
Journal:  J Healthc Manag       Date:  2014 Mar-Apr

Review 8.  Patient outcomes in simulation-based medical education: a systematic review.

Authors:  Benjamin Zendejas; Ryan Brydges; Amy T Wang; David A Cook
Journal:  J Gen Intern Med       Date:  2013-08       Impact factor: 5.128

9.  Cognitive complexity of the medical record is a risk factor for major adverse events.

Authors:  David Roberson; Michael Connell; Shay Dillis; Kimberlee Gauvreau; Rebecca Gore; Elaina Heagerty; Kathy Jenkins; Lin Ma; Amy Maurer; Jessica Stephenson; Margot Schwartz
Journal:  Perm J       Date:  2014

10.  Impact of computerized physician order entry on medication prescription errors in the intensive care unit: a controlled cross-sectional trial.

Authors:  Kirsten Colpaert; Barbara Claus; Annemie Somers; Koenraad Vandewoude; Hugo Robays; Johan Decruyenaere
Journal:  Crit Care       Date:  2006-02       Impact factor: 9.097

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  10 in total

1.  Use of a Novel, Electronic Health Record-Centered, Interprofessional ICU Rounding Simulation to Understand Latent Safety Issues.

Authors:  James Bordley; Knewton K Sakata; Jesse Bierman; Karess McGrath; Ashley Mulanax; Linh Nguyen; Vishnu Mohan; Jeffrey A Gold
Journal:  Crit Care Med       Date:  2018-10       Impact factor: 7.598

2.  Acute vital signs changes are underrepresented by a conventional electronic health record when compared with automatically acquired data in a single-center tertiary pediatric cardiac intensive care unit.

Authors:  Adam W Lowry; Craig A Futterman; Avihu Z Gazit
Journal:  J Am Med Inform Assoc       Date:  2022-06-14       Impact factor: 7.942

3.  Use of Simulation Based on an Electronic Health Records Environment to Evaluate the Structure and Accuracy of Notes Generated by Medical Scribes: Proof-of-Concept Study.

Authors:  Robert Pranaat; Vishnu Mohan; Megan O'Reilly; Maxwell Hirsh; Karess McGrath; Gretchen Scholl; Deborah Woodcock; Jeffrey A Gold
Journal:  JMIR Med Inform       Date:  2017-09-20

4.  Use of EHR-based simulation to diagnose aetiology of information gathering issues in struggling learners: a proof of concept study.

Authors:  Vishnu Mohan; Gretchen Scholl; Jeffrey A Gold
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2017-06-03

5.  Data Omission by Physician Trainees on ICU Rounds.

Authors:  Kathryn A Artis; James Bordley; Vishnu Mohan; Jeffrey A Gold
Journal:  Crit Care Med       Date:  2019-03       Impact factor: 7.598

6.  Nursing workload associated with the frequency of multidisciplinary rounds: a cross-sectional study.

Authors:  Maria Luiza Borges; Pedro Caruso; Antonio Paulo Nassar Júnior
Journal:  Rev Bras Ter Intensiva       Date:  2021 Jan-Mar

7.  The Impact of Electronic Health Record-Based Simulation During Intern Boot Camp: Interventional Study.

Authors:  Matthew E Miller; Gretchen Scholl; Sky Corby; Vishnu Mohan; Jeffrey A Gold
Journal:  JMIR Med Educ       Date:  2021-03-09

8.  Sex Differences in Electronic Health Record Navigation Strategies: Secondary Data Analysis.

Authors:  Daniel R Seifer; Karess Mcgrath; Gretchen Scholl; Vishnu Mohan; Jeffrey A Gold
Journal:  JMIR Hum Factors       Date:  2021-06-24

9.  Impact of a Web-Based Electronic Health Record on Behavioral Health Service Delivery for Children and Adolescents: Randomized Controlled Trial.

Authors:  Eric J Bruns; Alyssa N Hook; Elizabeth M Parker; Isabella Esposito; April Sather; Ryan M Parigoris; Aaron R Lyon; Kelly L Hyde
Journal:  J Med Internet Res       Date:  2018-06-14       Impact factor: 5.428

10.  Health Information Technology (HIT) Adaptation: Refocusing on the Journey to Successful HIT Implementation.

Authors:  Po-Yin Yen; Ann Scheck McAlearney; Cynthia J Sieck; Jennifer L Hefner; Timothy R Huerta
Journal:  JMIR Med Inform       Date:  2017-09-07
  10 in total

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