Literature DB >> 22226260

An analysis of the usability of inpatient insulin ordering in three computerized provider order entry systems.

Aaron Neinstein1, Russ Cucina.   

Abstract

BACKGROUND: Insulin is a highly scrutinized drug in hospitals since it is both frequently used and high risk. As the insulin ordering process makes a transition from pen and paper to computerized provider order entry (CPOE) systems, the effective design of these systems becomes critical. There are fundamental usability principles in the field of human-computer interaction design, which help make interfaces that are effective, efficient, and satisfying. To our knowledge, there has not been a study that specifically looks at how these principles have been applied in the design of insulin orders in a CPOE system.
METHOD: We analyzed the usability of inpatient insulin ordering in three widely deployed CPOE systems-two commercially marketed systems and the U.S. Department of Veterans Affairs VistA Computerized Patient Record System. We performed a usability analysis using aspects of three different methods. Our first goal was to note each instance where a usability principle was either upheld or not upheld. Our second goal was to discover ways in which CPOE designers could exploit usability principles to make insulin ordering safer and more intuitive in the future.
RESULTS: Commonly encountered usability principles included constraints, obviousness/self-evidence, natural mapping, feedback, and affordance. The three systems varied in their adherence to these principles, and each system had varying strengths and weaknesses.
CONCLUSION: Adherence to usability principles is important when building a CPOE system, yet designers observe them to varying degrees. A well-designed CPOE interface allows a clinician to focus more of his or her mental energy on clinical decisions rather than on deciphering the system itself. In the future, intelligent design of CPOE insulin orders can be used to help optimize and modernize management of hyperglycemia in the hospital.
© 2011 Diabetes Technology Society.

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Year:  2011        PMID: 22226260      PMCID: PMC3262709          DOI: 10.1177/193229681100500614

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  16 in total

1.  The cognitive complexity of a provider order entry interface.

Authors:  Jan Horsky; David R Kaufman; Vimla L Patel
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  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

3.  Glycemic chaos (not glycemic control) still the rule for inpatient care: how do we stop the insanity?

Authors:  Guillermo Umpierrez; Gregory Maynard
Journal:  J Hosp Med       Date:  2006-05       Impact factor: 2.960

4.  Evaluation of reported medication errors before and after implementation of computerized practitioner order entry.

Authors:  Victoria M Bradley; Carol L Steltenkamp; Kimberley B Hite
Journal:  J Healthc Inf Manag       Date:  2006

5.  A comparison of usability methods for testing interactive health technologies: methodological aspects and empirical evidence.

Authors:  Monique W M Jaspers
Journal:  Int J Med Inform       Date:  2008-11-29       Impact factor: 4.046

Review 6.  Medication-related clinical decision support in computerized provider order entry systems: a review.

Authors:  Gilad J Kuperman; Anne Bobb; Thomas H Payne; Anthony J Avery; Tejal K Gandhi; Gerard Burns; David C Classen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

7.  Eliminating inpatient sliding-scale insulin: a reeducation project with medical house staff.

Authors:  David Baldwin; Griselda Villanueva; Robert McNutt; Sarika Bhatnagar
Journal:  Diabetes Care       Date:  2005-05       Impact factor: 19.112

8.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

9.  Sliding scale versus tight glycemic control in the noncritically ill at a community hospital.

Authors:  Gita Wasan Patel; Nicki Roderman; Karen A Lee; Melissa M Charles; Diem Nguyen; Paula Beougher; Kacie Kleja; Evangelina Casteneda
Journal:  Ann Pharmacother       Date:  2009-10-13       Impact factor: 3.154

10.  Prescription errors and outcomes related to inconsistent information transmitted through computerized order entry: a prospective study.

Authors:  Hardeep Singh; Shrinidi Mani; Donna Espadas; Nancy Petersen; Veronica Franklin; Laura A Petersen
Journal:  Arch Intern Med       Date:  2009-05-25
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  1 in total

Review 1.  A detailed description of the implementation of inpatient insulin orders with a commercial electronic health record system.

Authors:  Aaron Neinstein; Heidemarie Windham MacMaster; Mary M Sullivan; Robert Rushakoff
Journal:  J Diabetes Sci Technol       Date:  2014-05-25
  1 in total

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