Laboratory Order Errors Before and After Implementation of Electronic Health Record.

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 or...

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Publicado en:Clinical Laboratory Science Vol. 29; no. 3; pp. 158 - 163
Autores principales: WALLEY, RANA, PEDEN, ANN H., MAY, WARREN
Formato: research tables/charts Journal Article
Publicado: American Society for Clinical Laboratory Science Summer2016
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Summer2016
      vid: 29
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      pub: American Society for Clinical Laboratory Science
      place: Dundee, Michigan
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        10.29074/ascls.29.3.158
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        atl: Laboratory Order Errors Before and After Implementation of Electronic Health Record.
      aug:
        au:
          WALLEY, RANA
          PEDEN, ANN H.
          MAY, WARREN
        affil: Singing River Health System, Pascagoula, MS
      sug:
        subj:
          Electronic Order Entry
          Diagnosis, Laboratory
          Human Error Evaluation
          Electronic Health Records
          Clinical Laboratories, Hospital
          Patient Safety
          United States Centers for Medicare and Medicaid Services
          Reimbursement, Incentive
          Retrospective Design
          Random Sample
          Record Review
          Chi Square Test
          Unpaired T-Tests
          Mann-Whitney U Test
          Data Analysis Software
          P-Value
          Descriptive Statistics
          Human
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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