Literature DB >> 11751800

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

Asif Ahmad1, Phyllis Teater, Thomas D Bentley, Lynn Kuehn, Rajee R Kumar, Andrew Thomas, Hagop S Mekhjian.   

Abstract

The benefits of computerized physician order entry have been widely recognized, although few institutions have successfully installed these systems. Obstacles to successful implementation are organizational as well as technical. In the spring of 2000, following a 4-year period of planning and customization, a 9-month pilot project, and a 14-month hiatus for year 2000, the Ohio State University Health System extensively implemented physician order entry across inpatient units. Implementation for specialty and community services is targeted for completion in 2002. On implemented units, all orders are processed through the system, with 80 percent being entered by physicians and the rest by nursing or other licensed care providers. The system is deployable across diverse clinical environments, focused on physicians as the primary users, and accepted by clinicians. These are the three criteria by which the authors measured the success of their implementation. They believe that the availability of specialty-specific order sets, the engagement of physician leadership, and a large-scale system implementation were key strategic factors that enabled physician-users to accept a physician order entry system despite significant changes in workflow.

Mesh:

Year:  2002        PMID: 11751800      PMCID: PMC349384          DOI: 10.1136/jamia.2002.0090016

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


  3 in total

Review 1.  Physicians and decisions: a simple rule for increasing connections in hospitals.

Authors:  D P Ashmos; D Duchon; R R McDaniel
Journal:  Health Care Manage Rev       Date:  2000

2.  Physician order entry in U.S. hospitals.

Authors:  J S Ash; P N Gorman; W R Hersh
Journal:  Proc AMIA Symp       Date:  1998

Review 3.  Computer-based physician order entry: the state of the art.

Authors:  D F Sittig; W W Stead
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

  3 in total
  30 in total

1.  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

2.  A cross-site qualitative study of physician order entry.

Authors:  Joan S Ash; Paul N Gorman; Mary Lavelle; Thomas H Payne; Thomas A Massaro; Gerri L Frantz; Jason A Lyman
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

3.  A usability study of physicians interaction with a paper-based patient record system and a graphical-based electronic patient record system.

Authors:  Nestor J Rodriguez; Viviam Murillo; José A Borges; Johanna Ortiz; Daniel Z Sands
Journal:  Proc AMIA Symp       Date:  2002

4.  Information warehouse as a tool to analyze Computerized Physician Order Entry order set utilization: opportunities for improvement.

Authors:  Jyoti Kamal; Patrick Rogers; Joel Saltz; Hagop Mekhjian
Journal:  AMIA Annu Symp Proc       Date:  2003

5.  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

6.  A network collaboration implementing technology to improve medication dispensing and administration in critical access hospitals.

Authors:  Douglas S Wakefield; Marcia M Ward; Jean L Loes; John O'Brien
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

7.  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.

Authors:  Rajika L Munasinghe; Camelia Arsene; Tarun K Abraham; Marwan Zidan; Mohamed Siddique
Journal:  J Am Med Inform Assoc       Date:  2011-03-21       Impact factor: 4.497

8.  A power information user (PIU) model to promote information integration in Tennessee's public health community.

Authors:  Nila A Sathe; Patricia Lee; Nunzia Bettinsoli Giuse
Journal:  J Med Libr Assoc       Date:  2004-10

9.  Information retrieval performance of probabilistically generated, problem-specific computerized provider order entry pick-lists: a pilot study.

Authors:  Adam S Rothschild; Harold P Lehmann
Journal:  J Am Med Inform Assoc       Date:  2005-01-31       Impact factor: 4.497

10.  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
Journal:  J Healthc Inf Manag       Date:  2013
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