Literature DB >> 25817921

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

Ofir Ben-Assuli1, Doron Sagi2, Moshe Leshno3, Avinoah Ironi2, Amitai Ziv4.   

Abstract

It is widely believed that Electronic Health Records (EHR) improve medical decision-making by enabling medical staff to access medical information stored in the system. It remains unclear, however, whether EHR indeed fulfills this claim under the severe time constraints of Emergency Departments (EDs). We assessed whether accessing EHR in an ED actually improves decision-making by clinicians. A simulated ED environment was created at the Israel Center for Medical Simulation (MSR). Four different actors were trained to simulate four specific complaints and behavior and 'consulted' 26 volunteer ED physicians. Each physician treated half of the cases (randomly) with access to EHR, and their medical decisions were compared to those where the physicians had no access to EHR. Comparison of diagnostic accuracy with and without access showed that accessing the EHR led to an increase in the quality of the clinical decisions. Physicians accessing EHR were more highly informed and thus made more accurate decisions. The percentage of correct diagnoses was higher and these physicians were more confident in their diagnoses and made their decisions faster.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Decision analysis; Decision-making/makers; Electronic medical records; Technology assimilation

Mesh:

Year:  2015        PMID: 25817921     DOI: 10.1016/j.jbi.2015.03.004

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


  10 in total

1.  Analysing repeated hospital readmissions using data mining techniques.

Authors:  Ofir Ben-Assuli; Rema Padman
Journal:  Health Syst (Basingstoke)       Date:  2018-11-09

2.  Analysing repeated hospital readmissions using data mining techniques.

Authors:  Ofir Ben-Assuli; Rema Padman
Journal:  Health Syst (Basingstoke)       Date:  2017-11-07

3.  Diagnostic Discordance, Health Information Exchange, and Inter-Hospital Transfer Outcomes: a Population Study.

Authors:  Michael Usher; Nishant Sahni; Dana Herrigel; Gyorgy Simon; Genevieve B Melton; Anne Joseph; Andrew Olson
Journal:  J Gen Intern Med       Date:  2018-05-29       Impact factor: 5.128

4.  The effect of My Health Record use in the emergency department on clinician-assessed patient care: results from a survey.

Authors:  Alexandra Mullins; Renee O'Donnell; Heather Morris; Michael Ben-Meir; Kostas Hatzikiriakidis; Lisa Brichko; Helen Skouteris
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-05       Impact factor: 3.298

5.  Characterizing Multitasking and Workflow Fragmentation in Electronic Health Records among Emergency Department Clinicians: Using Time-Motion Data to Understand Documentation Burden.

Authors:  Amanda J Moy; Lucy Aaron; Kenrick D Cato; Jessica M Schwartz; Jonathan Elias; Richard Trepp; Sarah Collins Rossetti
Journal:  Appl Clin Inform       Date:  2021-10-27       Impact factor: 2.762

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

Authors:  Knewton K Sakata; Laurel S Stephenson; Ashley Mulanax; Jesse Bierman; Karess Mcgrath; Gretchen Scholl; Adrienne McDougal; David T Bearden; Vishnu Mohan; Jeffrey A Gold
Journal:  J Interprof Care       Date:  2016-06-24       Impact factor: 2.338

Review 7.  The role of medical data in efficient patient care delivery: a review.

Authors:  Kasaw Adane; Mucheye Gizachew; Semalegne Kendie
Journal:  Risk Manag Healthc Policy       Date:  2019-04-24

8.  Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial.

Authors:  S Fatima Faqar-Uz-Zaman; Natalie Filmann; Dora Mahkovic; Michael von Wagner; Charlotte Detemble; Ulf Kippke; Ursula Marschall; Luxia Anantharajah; Philipp Baumartz; Paula Sobotta; Wolf O Bechstein; Andreas A Schnitzbauer
Journal:  BMJ Open       Date:  2021-01-08       Impact factor: 2.692

9.  Deep Learning-Based Method of Diagnosing Hyperlipidemia and Providing Diagnostic Markers Automatically.

Authors:  Yuliang Liu; Quan Zhang; Geng Zhao; Guohua Liu; Zhiang Liu
Journal:  Diabetes Metab Syndr Obes       Date:  2020-03-11       Impact factor: 3.168

Review 10.  Clinically Excellent Use of the Electronic Health Record: Review.

Authors:  Leah Wolfe; Margaret Smith Chisolm; Fuad Bohsali
Journal:  JMIR Hum Factors       Date:  2018-10-05
  10 in total

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