Literature DB >> 19275996

Implementation of computerized physician order entry in seven countries.

Jos Aarts1, Ross Koppel.   

Abstract

We review the extent and functionality of computerized physician order entry (CPOE) systems in seven Western countries. We compare nations' implementation levels; linkages with other health care information technologies; amount and types of use by clinicians; drivers of implementation; inclusion of decision-support systems and electronic medical records; and goals (for example, patient safety and efficiency). Implementation of CPOE is slower and more problematic than anticipated (adoption rates are 20 percent or less) and often poorly integrated, inducing new errors and generating frustration with user interfaces and repetitive tasks. Nevertheless, the advantages of CPOE remain compelling.

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Year:  2009        PMID: 19275996     DOI: 10.1377/hlthaff.28.2.404

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  27 in total

1.  Impact of electronic health record transition on behavioral health screening in a large pediatric practice.

Authors:  Karen Hacker; Robert Penfold; Fang Zhang; Stephen B Soumerai
Journal:  Psychiatr Serv       Date:  2012-03       Impact factor: 3.084

2.  The effect of Computerized Physician Order Entry and decision support system on medication errors in the neonatal ward: experiences from an Iranian teaching hospital.

Authors:  Alireza Kazemi; Johan Ellenius; Faramarz Pourasghar; Shahram Tofighi; Aref Salehi; Ali Amanati; Uno G H Fors
Journal:  J Med Syst       Date:  2009-07-17       Impact factor: 4.460

3.  Can utilizing a computerized provider order entry (CPOE) system prevent hospital medical errors and adverse drug events?

Authors:  Krista Charles; Margaret Cannon; Robert Hall; Alberto Coustasse
Journal:  Perspect Health Inf Manag       Date:  2014-10-01

Review 4.  The use of quality improvement and health information technology approaches to improve diabetes outcomes in African American and Hispanic patients.

Authors:  Arshiya A Baig; Abigail E Wilkes; Andrew M Davis; Monica E Peek; Elbert S Huang; Douglas S Bell; Marshall H Chin
Journal:  Med Care Res Rev       Date:  2010-07-30       Impact factor: 3.929

5.  Risk analysis and user satisfaction after implementation of computerized physician order entry in Dutch hospitals.

Authors:  Willem van der Veen; Han J J de Gier; Tjerk van der Schaaf; Katja Taxis; Patricia M L A van den Bemt
Journal:  Int J Clin Pharm       Date:  2012-11-28

6.  Changes in end-user satisfaction with Computerized Provider Order Entry over time among nurses and providers in intensive care units.

Authors:  Peter L T Hoonakker; Pascale Carayon; Roger L Brown; Randi S Cartmill; Tosha B Wetterneck; James M Walker
Journal:  J Am Med Inform Assoc       Date:  2012-10-25       Impact factor: 4.497

7.  Does user-centred design affect the efficiency, usability and safety of CPOE order sets?

Authors:  Julie Chan; Kaveh G Shojania; Anthony C Easty; Edward E Etchells
Journal:  J Am Med Inform Assoc       Date:  2011-05-01       Impact factor: 4.497

8.  Has information technology finally been adopted in Flemish intensive care units?

Authors:  Kirsten Colpaert; Sem Vanbelleghem; Christian Danneels; Dominique Benoit; Kristof Steurbaut; Sofie Van Hoecke; Filip De Turck; Johan Decruyenaere
Journal:  BMC Med Inform Decis Mak       Date:  2010-10-19       Impact factor: 2.796

9.  Physician order entry or nurse order entry? Comparison of two implementation strategies for a computerized order entry system aimed at reducing dosing medication errors.

Authors:  Alireza Kazemi; Uno G H Fors; Shahram Tofighi; Mesfin Tessma; Johan Ellenius
Journal:  J Med Internet Res       Date:  2010-02-26       Impact factor: 5.428

10.  Optimizing the design of preprinted orders for ambulatory chemotherapy: combining oncology, human factors, and graphic design.

Authors:  Jennifer Jeon; Rachel E White; Richard G Hunt; Andrea L Cassano-Piché; Anthony C Easty
Journal:  J Oncol Pract       Date:  2011-12-20       Impact factor: 3.840

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