Literature DB >> 22226728

Implementation of computerized provider order entry in a neonatal intensive care unit: Impact on admission workflow.

Alison K Chapman1, Christoph U Lehmann, Pamela K Donohue, Susan W Aucott.   

Abstract

OBJECTIVE: The study objective was to determine if computerized provider order entry (CPOE) systems impaired or enhanced workflow in the neonatal intensive care unit (NICU) by comparing the timing of administration of the first dose of antibiotics before and after CPOE system implementation.
METHODS: We conducted a pre-post intervention comparative study of the length of time between admission and administration of initial antibiotics in neonates before and after a CPOE system was implemented. Clinical information and timing of antibiotic administration were collected on all inborn infants, who were admitted to the NICU in the first 4h of life and treated with antibiotics, for one year prior to the implementation of computerized order entry and for one year after the implementation.
RESULTS: Infants admitted to the NICU were similar in both periods (mean birth weight 2183 g vs. 2091 g, gestational age 33.3 weeks vs. 33.0 weeks). There was no significant difference in mean length of time from admission to antibiotic administration in the pre-CPOE group (131 min [CI 124-139]) compared to the post-CPOE group (125 min [CI 116-133]) (p=0.07). The mean time to pharmacy verification for a subset of patients was significantly shorter for patients in the post-CPOE group (61 ± 58 min) compared to the pre-CPOE group (88 ± 76 min) (p=<0.001).
CONCLUSIONS: While the introduction of a CPOE system in the NICU did not significantly improve antibiotic administration times, the timeliness of an important aspect of the medication process, time to pharmacy verification, was improved. These findings imply other factors are impeding workflow. Further studies are needed to evaluate how CPOE systems combined with patient care activities affect workflow and overall patient care.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22226728     DOI: 10.1016/j.ijmedinf.2011.12.006

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  8 in total

Review 1.  Personalization and Patient Involvement in Decision Support Systems: Current Trends.

Authors:  S Quaglini; L Sacchi; G Lanzola; N Viani
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  Examining Perceptions of Computerized Physician Order Entry in a Neonatal Intensive Care Unit.

Authors:  Kristyn S Beam; Megan Cardoso; Megan Sweeney; Geoff Binney; Saul N Weingart
Journal:  Appl Clin Inform       Date:  2017-04-05       Impact factor: 2.342

Review 3.  Computerized Physician Order Entry in the Neonatal Intensive Care Unit: A Narrative Review.

Authors:  Jaclyn B York; Megan Z Cardoso; Dara S Azuma; Kristyn S Beam; Geoffrey G Binney; Saul N Weingart
Journal:  Appl Clin Inform       Date:  2019-07-03       Impact factor: 2.342

4.  Measuring non-administration of ordered medications in the pediatric inpatient setting.

Authors:  Haresh L Bhatia; Neal R Patel; Catherine H Ivory; Phillip W Stewart; Kim M Unertl; Christoph U Lehmann
Journal:  Int J Med Inform       Date:  2017-11-21       Impact factor: 4.046

5.  Computerized prescriber order entry implementation in a physician assistant-managed hematology and oncology inpatient service: effects on workflow and task switching.

Authors:  David A Hanauer; Kai Zheng; Elaine L Commiskey; Mary G Duck; Sung W Choi; Douglas W Blayney
Journal:  J Oncol Pract       Date:  2012-11-13       Impact factor: 3.840

6.  Improving the timeliness of meticillin-resistant Staphylococcus aureus antimicrobial decolonization therapy administration: a descriptive account.

Authors:  H L Brooks; J Hodson; S J Richardson; L Stezhka; M J Gill; J J Coleman
Journal:  J Hosp Infect       Date:  2014-02-06       Impact factor: 3.926

Review 7.  Systematic Review of Medical Informatics-Supported Medication Decision Making.

Authors:  Brittany L Melton
Journal:  Biomed Inform Insights       Date:  2017-03-30

8.  Issues with the Swedish e-prescribing system - An analysis of health information technology-related incident reports using an existing classification system.

Authors:  Md Shafiqur Rahman Jabin; Tora Hammar
Journal:  Digit Health       Date:  2022-10-11
  8 in total

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