Literature DB >> 21422099

Improving the utilization of admission order sets in a computerized physician order entry system by integrating modular disease specific order subsets into a general medicine admission order set.

Rajika L Munasinghe1, Camelia Arsene, Tarun K Abraham, Marwan Zidan, Mohamed Siddique.   

Abstract

CASE DESCRIPTION: We evaluated the effects of integrating order subsets for the most common medical diagnoses into a general medical admission order set of our electronic medical records (EMR) in order to improve order set integration by clinicians. METHODS OF IMPLEMENTATION: We identified the most common primary and secondary diagnoses for patients admitted to our medical service and developed order subsets comprising only of the orders necessary for the management of these individual diagnoses. Using the capabilities of our computerized physician order entry (CPOE), we nested these order subsets into the general order set and evaluated the resulting change in order set utilization by our clinicians. EXAMPLE AND OBSERVATIONS: The total number of order sets used by clinicians in all departments increased fivefold during the 16-month period following the implementation of the integrated order sets in July 2008. A before and after time series was used to analyze the trend in increased order set usage and showed an effect of the intervention (p=0.023). DISCUSSION: Integration of disease specific order subsets into a single general admission order set significantly improved the overall adoption of order sets by clinicians. This provides health care systems with the opportunity to improve patient safety and implement evidence based care in clinical practice.

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Year:  2011        PMID: 21422099      PMCID: PMC3078659          DOI: 10.1136/amiajnl-2010-000066

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  20 in total

1.  Key attributes of a successful physician order entry system implementation in a multi-hospital environment.

Authors:  Asif Ahmad; Phyllis Teater; Thomas D Bentley; Lynn Kuehn; Rajee R Kumar; Andrew Thomas; Hagop S Mekhjian
Journal:  J Am Med Inform Assoc       Date:  2002 Jan-Feb       Impact factor: 4.497

2.  Preparation and use of preconstructed orders, order sets, and order menus in a computerized provider order entry system.

Authors:  Thomas H Payne; Patty J Hoey; Paul Nichol; Christian Lovis
Journal:  J Am Med Inform Assoc       Date:  2003-03-28       Impact factor: 4.497

3.  Computerized reminders reduce the use of medications during shortages.

Authors:  Benjamin Bogucki; Brian R Jacobs; John Hingle
Journal:  J Am Med Inform Assoc       Date:  2004-04-02       Impact factor: 4.497

Review 4.  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

5.  Implementation of physician order entry: user satisfaction and self-reported usage patterns.

Authors:  F Lee; J M Teich; C D Spurr; D W Bates
Journal:  J Am Med Inform Assoc       Date:  1996 Jan-Feb       Impact factor: 4.497

6.  Comorbidities, complications, and coding bias. Does the number of diagnosis codes matter in predicting in-hospital mortality?

Authors:  L I Iezzoni; S M Foley; J Daley; J Hughes; E S Fisher; T Heeren
Journal:  JAMA       Date:  1992 Apr 22-29       Impact factor: 56.272

7.  A computer-assisted management program for antibiotics and other antiinfective agents.

Authors:  R S Evans; S L Pestotnik; D C Classen; T P Clemmer; L K Weaver; J F Orme; J F Lloyd; J P Burke
Journal:  N Engl J Med       Date:  1998-01-22       Impact factor: 91.245

8.  Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.

Authors:  D W Bates; L L Leape; D J Cullen; N Laird; L A Petersen; J M Teich; E Burdick; M Hickey; S Kleefield; B Shea; M Vander Vliet; D L Seger
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

9.  Physician inpatient order writing on microcomputer workstations. Effects on resource utilization.

Authors:  W M Tierney; M E Miller; J M Overhage; C J McDonald
Journal:  JAMA       Date:  1993-01-20       Impact factor: 56.272

10.  Oral quinolones in hospitalized patients: an evaluation of a computerized decision support intervention.

Authors:  T Hulgan; S T Rosenbloom; F Hargrove; D A Talbert; P G Arbogast; P Bansal; R A Miller; D S Kernodle
Journal:  J Intern Med       Date:  2004-10       Impact factor: 8.989

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  7 in total

Review 1.  Basal-bolus insulin protocols enter the computer age.

Authors:  Nancy J Wei; Deborah J Wexler
Journal:  Curr Diab Rep       Date:  2012-02       Impact factor: 4.810

2.  Visualization of Order Set Creation and Usage Patterns in Early Implementation Phases of an Electronic Health Record.

Authors:  Nathan C Hulse; Jaehoon Lee; Tim Borgeson
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

3.  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

4.  Paving the COWpath: data-driven design of pediatric order sets.

Authors:  Yiye Zhang; Rema Padman; James E Levin
Journal:  J Am Med Inform Assoc       Date:  2014-03-27       Impact factor: 4.497

5.  Gaps in the inpatient management of chronic obstructive pulmonary disease exacerbation and impact of an evidence-based order set.

Authors:  Abhijat Kitchlu; Tamer Abdelshaheed; Elizabeth Tullis; Samir Gupta
Journal:  Can Respir J       Date:  2015-04-17       Impact factor: 2.409

6.  Effectiveness of a standardized electronic admission order set for acute exacerbation of chronic obstructive pulmonary disease.

Authors:  Sachin R Pendharkar; Maria B Ospina; Danielle A Southern; Naushad Hirani; Jim Graham; Peter Faris; Mohit Bhutani; Richard Leigh; Christopher H Mody; Michael K Stickland
Journal:  BMC Pulm Med       Date:  2018-05-30       Impact factor: 3.317

7.  Default settings of computerized physician order entry system order sets drive ordering habits.

Authors:  Jordan Olson; Christopher Hollenbeak; Keri Donaldson; Thomas Abendroth; William Castellani
Journal:  J Pathol Inform       Date:  2015-03-24
  7 in total

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