Literature DB >> 16818577

Computerized provider order entry implementation: no association with increased mortality rates in an intensive care unit.

Mark A Del Beccaro1, Howard E Jeffries, Matthew A Eisenberg, Eric D Harry.   

Abstract

OBJECTIVE: Our goal was to determine if there were any changes in risk-adjusted mortality after the implementation of a computerized provider order entry system in our PICU.
METHODS: Study was undertaken in a tertiary care PICU with 20 beds and 1100 annual admissions. Demographic, admission source, primary diagnosis, crude mortality, and Pediatric Risk of Mortality III risk-adjusted mortality were abstracted retrospectively on all admissions from the PICUEs database for the period October 1, 2002, to December 31, 2004. This time period reflects the 13 months before and 13 months after computerized provider order entry implementation. Pediatric Risk of Mortality III mortality risk adjustment was used to determine standardized mortality ratios.
RESULTS: During the study period, 2533 patients were admitted to the PICU, of which 284 were transported from another facility. The 13-month preimplementation mortality rate was 4.22%, and the 13-month postimplementation mortality rate was 3.46%, representing a nonsignificant reduction in the risk of mortality in the postimplementation period. The standardized mortality ratio was 0.98 vs 0.77, respectively, and the mortality rate for the transported patients was 9.6% vs 6.29%. This yields a nonsignificant mortality risk reduction in the postimplementation period. The standardized mortality ratio was 1.10 preimplementation versus 0.70 postimplementation. Analysis of the 13-month preimplementation versus 5-month postimplementation periods showed a non-statistically significant trend in reduction of mortality for all PICU patients and for transported patients.
CONCLUSIONS: Implementation of a computerized provider order entry system, even in the early months after implementation, was not associated with an increase in mortality. Our experience suggests that careful design, build, implementation, and support can mitigate the risk of implementing new technology even in an ICU setting.

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Year:  2006        PMID: 16818577     DOI: 10.1542/peds.2006-0367

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  48 in total

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6.  Interventions to reduce medication prescribing errors in a paediatric cardiac intensive care unit.

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7.  Adoption of order entry with decision support for chronic care by physician organizations.

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9.  Using an Evidence-Based Approach to EMR Implementation to Optimize Outcomes and Avoid Unintended Consequences.

Authors:  Christopher A Longhurst; Jonathan P Palma; Lisa M Grisim; Eric Widen; Melanie Chan; Paul J Sharek
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10.  Transient and sustained changes in operational performance, patient evaluation, and medication administration during electronic health record implementation in the emergency department.

Authors:  Michael J Ward; Craig M Froehle; Kimberly W Hart; Sean P Collins; Christopher J Lindsell
Journal:  Ann Emerg Med       Date:  2013-09-14       Impact factor: 5.721

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