Literature DB >> 25298809

Computerized provider order entry reduces length of stay in a community hospital.

R Schreiber1, K Peters2, S H Shaha3.   

Abstract

OBJECTIVE: Does computerized provider order entry (CPOE) improve clinical, cost, and efficiency outcomes as quantified in shortened hospital length of stay (LOS)? Most prior studies were done in university settings with home-grown electronic records, and are now 20 years old. This study asked whether CPOE exerts a downward force on LOS in the current era of HITECH incentives, using a vendor product in a community hospital.
METHODS: The methodology retrospectively evaluated correlation between CPOE and LOS on a perpatient, per-visit basis over 22 consecutive quarters, organized by discipline. All orders from all areas were eligible, except verbals, and medication orders in the emergency department which were not available via CPOE. These results were compared with quarterly case mix indices organized by discipline. Correlational and regression analyses were cross-checked to ensure validity of R-square coefficients, and data were smoothed for ease of display. Standard models were used to calculate the inflection point.
RESULTS: Gains in CPOE adoption occurred iteratively house-wide, and in each discipline. LOS decreased in a sigmoid shaped curve. The inflection point shows that once CPOE adoption approaches 60%, further lowering of LOS accelerates. Overall there was a 20.2% reduction in LOS correlated with adoption of CPOE. Case mix index increased during the study period showing that reductions in LOS occurred despite increased patient complexity and resource utilization.
CONCLUSIONS: There was a 20.2% reduction in LOS correlated with rising adoption of CPOE. CPOE contributes to improved clinical, cost, and efficiency outcomes as quantified in reduced LOS, over and above other processes introduced to lower LOS. CPOE enabled a reduction in LOS despite an increase in the case mix index during the time frame of this study.

Entities:  

Keywords:  CPOE; Computerized physician order entry system; HITECH Act; length of stay; meaningful use

Mesh:

Year:  2014        PMID: 25298809      PMCID: PMC4187086          DOI: 10.4338/ACI-2014-04-RA-0029

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  21 in total

1.  Computer physician order entry: benefits, costs, and issues.

Authors:  Gilad J Kuperman; Richard F Gibson
Journal:  Ann Intern Med       Date:  2003-07-01       Impact factor: 25.391

2.  Immediate benefits realized following implementation of physician order entry at an academic medical center.

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

3.  Models for longitudinal data: a generalized estimating equation approach.

Authors:  S L Zeger; K Y Liang; P S Albert
Journal:  Biometrics       Date:  1988-12       Impact factor: 2.571

4.  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

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

Authors:  Naeem A Ali; Hagop S Mekhjian; P Lynn Kuehn; Thomas D Bentley; Rajee Kumar; Amy K Ferketich; Stephen P Hoffmann
Journal:  Crit Care Med       Date:  2005-01       Impact factor: 7.598

Review 6.  Computerized physician order entry in the critical care and general inpatient setting: a narrative review.

Authors:  Jeffrey Rothschild
Journal:  J Crit Care       Date:  2004-12       Impact factor: 3.425

7.  Computer-generated informational messages directed to physicians: effect on length of hospital stay.

Authors:  S Shea; R V Sideli; W DuMouchel; G Pulver; R R Arons; P D Clayton
Journal:  J Am Med Inform Assoc       Date:  1995 Jan-Feb       Impact factor: 4.497

8.  After the revolution: DRGs at age 30.

Authors:  Kevin Quinn
Journal:  Ann Intern Med       Date:  2014-03-18       Impact factor: 25.391

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.  Relationship between medication errors and adverse drug events.

Authors:  D W Bates; D L Boyle; M B Vander Vliet; J Schneider; L Leape
Journal:  J Gen Intern Med       Date:  1995-04       Impact factor: 5.128

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  2 in total

1.  The Impact of Order Source Misattribution on Computerized Provider Order Entry (CPOE) Performance Metrics.

Authors:  George A Gellert; Linda Catzoela; Lajja Patel; Kylynn Bruner; Felix Friedman; Ricardo Ramirez; Lilliana Saucedo; S Luke Webster; John A Gillean
Journal:  Perspect Health Inf Manag       Date:  2017-04-01

Review 2.  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 in total

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