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Research ArticleResearch and Reports

Laboratory Order Errors Before and After Implementation of Electronic Health Record

Rana Walley, Ann H. Peden and Warren May
American Society for Clinical Laboratory Science July 2016, 29 (3) 158-162; DOI: https://doi.org/10.29074/ascls.29.3.158
Rana Walley
Singing River Health System, Pascagoula, MS
PhD, MLS (ASCP)
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  • For correspondence: rana.walley@mgccc.edu
Ann H. Peden
Health Informatics and Information Management, School of Health Related Professions, University of Mississippi Medical Center, Jackson, MS
PhD, RHIA, CCS
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Warren May
School of Health Related Professions, University of Mississippi Medical Center, Jackson, MS
PhD
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  1. Rana Walley, PhD, MLS (ASCP)⇑
    1. Singing River Health System, Pascagoula, MS
  2. Ann H. Peden, PhD, RHIA, CCS
    1. Health Informatics and Information Management, School of Health Related Professions, University of Mississippi Medical Center, Jackson, MS
  3. Warren May, PhD
    1. School of Health Related Professions, University of Mississippi Medical Center, Jackson, MS
  1. Address for Correspondence: Rana Walley, PhD, MLS (ASCP) 11217 Pinewood Hill Lane, Vancleave, MS 39565, 228-382-4692, rana.walley{at}mgccc.edu.

Abstract

An analysis of laboratory order entry errors on randomly selected inpatient records was conducted comparing errors 12 months before and after implementation of an electronic health record (EHR) at a 571-bed community health system.

Methods: A total of 720 medical records were reviewed with 10,176 orders before EHR implementation and 11,455 orders after. Errors evaluated included unsigned, duplicate, illegible, and omitted orders, results with no order, and transcription errors. Data analysis included the independent-samples t-test and Pearson Chi-square test.

Results: There was a significant difference in laboratory order entry errors before and after EHR implementation (p<0.05). The percentages of unsigned orders decreased from 8.6% to 7.6%. Orders with missing results decreased from 16.5% to 11.3%, and duplicate orders decreased from 9.1% to 5.8%. Added, illegible, missing, and incorrectly transcribed orders with previous rates of 3.72%, 0.8%, 2.8%, and 0.9% were eliminated.

Conclusion: Implementation of an EHR appears to improve clinical laboratory order entry.

ABBREVIATIONS: CMS- Centers for Medicare & Medicaid Services, CPOE- computerized physician order entry, CQM- clinical quality measures, EHR- electronic health record, LOS- length of stay, LIS- laboratory information system, HIS- hospital information system, HIM- health information management, HPF- horizon patient folder, QI- quality indicator, IQR- Interquartile Range.

    INDEX TERMS
  • Electronic health records
  • medical order entry systems
  • hospital information systems
  • centers for Medicare and Medicaid services (U.S.)
  • medical errors
  • patient care
  • patient safety
  • © Copyright 2016 American Society for Clinical Laboratory Science Inc. All rights reserved.
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American Society for Clinical Laboratory Science: 29 (3)
American Society for Clinical Laboratory Science
Vol. 29, Issue 3
Summer 2016
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Laboratory Order Errors Before and After Implementation of Electronic Health Record
Rana Walley, Ann H. Peden, Warren May
American Society for Clinical Laboratory Science Jul 2016, 29 (3) 158-162; DOI: 10.29074/ascls.29.3.158

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Laboratory Order Errors Before and After Implementation of Electronic Health Record
Rana Walley, Ann H. Peden, Warren May
American Society for Clinical Laboratory Science Jul 2016, 29 (3) 158-162; DOI: 10.29074/ascls.29.3.158
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Keywords

  • Electronic Health Records
  • medical order entry systems
  • hospital information systems
  • centers for Medicare and Medicaid services (U.S.)
  • medical errors
  • patient care
  • Patient safety

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