Literature DB >> 15644656

Specificity of computerized physician order entry has a significant effect on the efficiency of workflow for critically ill patients.

Naeem A Ali1, Hagop S Mekhjian, P Lynn Kuehn, Thomas D Bentley, Rajee Kumar, Amy K Ferketich, Stephen P Hoffmann.   

Abstract

BACKGROUND: Critically ill patients require rapid care, yet they are also at risk for morbidity from the potential complications of that care. Computerized physician order entry (CPOE) is advocated as a tool to reduce medical errors, improve the efficiency of healthcare delivery, and improve outcomes. Little is known regarding the essential attributes of CPOE in the intensive care unit (ICU).
OBJECTIVE: To assess the effect of CPOE on ICU patient care.
DESIGN: Retrospective before and after cohort study.
SETTING: An academic ICU. PATIENTS: Patients admitted to the ICU during use of the initial CPOE application and those admitted after its modification.
INTERVENTIONS: Comprehensive order interface redesign improving clarity, specificity, and efficiency. MEASUREMENTS: Orders for complex ICU care were compared between the two groups. In addition, the use of higher-efficiency CPOE order paths was tracked.
RESULTS: Patients treated with both the initial and modified CPOE system were similar for all measured characteristics. With the modified CPOE system, there were significant reductions in orders for vasoactive infusions, sedative infusions, and ventilator management. There was also a significant increase in orders executed through ICU-specific order sets after system modifications. LIMITATIONS: This retrospective study cannot assess issues related to learner expertise and is meant to only suggest the importance of developing CPOE systems that are appropriate for specialty care environments.
CONCLUSION: Appropriate CPOE applications can improve the efficiency of care for critically ill patients. The workflow requirements of individual units must be analyzed before technologies like CPOE can be properly developed and implemented.

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Year:  2005        PMID: 15644656     DOI: 10.1097/01.ccm.0000150266.58668.f9

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  16 in total

1.  Time and motion study of anesthesiologists' workflow in German hospitals.

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2.  Quantifying the impact of health IT implementations on clinical workflow: a new methodological perspective.

Authors:  Kai Zheng; Hilary M Haftel; Ronald B Hirschl; Michael O'Reilly; David A Hanauer
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3.  Adoption and Barriers to Adoption of Electronic Health Records by Nurses in Three Governmental Hospitals in Eastern Province, Saudi Arabia.

Authors:  Azza El Mahalli
Journal:  Perspect Health Inf Manag       Date:  2015-11-01

4.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

5.  A time-motion study of registered nurses' workflow in intensive care unit remote monitoring.

Authors:  Zhihua Tang; Janine Mazabob; Liza Weavind; Eric Thomas; Todd R Johnson
Journal:  AMIA Annu Symp Proc       Date:  2006

6.  Implementing a pharmacy system: facilitators and barriers.

Authors:  Steven D Culler; James Jose; Susan Kohler; Paula Edwards; Ansley D Dee; Francois Sainfort; Kimberly Rask
Journal:  J Med Syst       Date:  2009-04       Impact factor: 4.460

Review 7.  The impact of computerized provider order entry systems on inpatient clinical workflow: a literature review.

Authors:  Zahra Niazkhani; Habibollah Pirnejad; Marc Berg; Jos Aarts
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

8.  Identifying logical clinical context clusters in nursing orders for the purpose of information retrieval.

Authors:  Sarah Collins; Suzanne Bakken; James J Cimino; Leanne M Currie
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

9.  Data-driven order set generation and evaluation in the pediatric environment.

Authors:  Y Zhang; J E Levin; R Padman
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

10.  Impact of human factors on clinical protocol performance: a proposed assessment framework and case examples.

Authors:  J Geoffrey Chase; Steen Andreassen; Karsten Jensen; Geoffrey M Shaw
Journal:  J Diabetes Sci Technol       Date:  2008-05
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