Literature DB >> 17496828

Electronic medical record, error detection, and error reduction: a pediatric critical care perspective.

Brian Jacobs1.   

Abstract

INTRODUCTION: Automated extraction of data from computer-based medical records for use in quality improvement has been described for >20 yrs.
OBJECTIVE: This article reviews the role of the electronic medical record in automating adverse event detection in the study of medication errors, nosocomial infection, and in the perioperative setting. In addition, the use of the electronic medical record in the detection and reduction of delays in STAT (at once) radiology testing and respiratory therapy treatment will be reviewed.
CONCLUSION: The electronic medical record, including computerized provider order entry, can have an important effect on medical error detection and reduction.

Entities:  

Mesh:

Year:  2007        PMID: 17496828     DOI: 10.1097/01.PCC.0000257484.86356.39

Source DB:  PubMed          Journal:  Pediatr Crit Care Med        ISSN: 1529-7535            Impact factor:   3.624


  5 in total

1.  Synthesis of informatics literature to support institutional policy statement development.

Authors:  Taneya Y Koonce; Nila A Sathe; Dario A Giuse; Jim Jirjis
Journal:  J Med Libr Assoc       Date:  2008-01

2.  The effect of seniority and education on departmental dictation utilization.

Authors:  Kevin C Bax; Kambiz Norozi; Ajay P Sharma; Guido Filler
Journal:  Health Econ Rev       Date:  2011-07-20

3.  Automated detection of medication administration errors in neonatal intensive care.

Authors:  Qi Li; Eric S Kirkendall; Eric S Hall; Yizhao Ni; Todd Lingren; Megan Kaiser; Nataline Lingren; Haijun Zhai; Imre Solti; Kristin Melton
Journal:  J Biomed Inform       Date:  2015-07-17       Impact factor: 6.317

4.  Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit.

Authors:  Yizhao Ni; Todd Lingren; Eric S Hall; Matthew Leonard; Kristin Melton; Eric S Kirkendall
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

5.  The Generalizability of a Medication Administration Discrepancy Detection System: Quantitative Comparative Analysis.

Authors:  Eric Kirkendall; Hannah Huth; Benjamin Rauenbuehler; Adam Moses; Kristin Melton; Yizhao Ni
Journal:  JMIR Med Inform       Date:  2020-12-02
  5 in total

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