Literature DB >> 20619572

Implementation of an emergency department computer system: design features that users value.

Nicholas J Batley1, Hibah O Osman, Amin A Kazzi, Khaled M Musallam.   

Abstract

BACKGROUND: Electronic medical records (EMRs) can potentially improve the efficiency and effectiveness of patient care, especially in the emergency department (ED) setting. Multiple barriers to implementation of EMR have been described. One important barrier is physician resistance. The "ED Dashboard" is an EMR developed in a busy tertiary care hospital ED. Its implementation was exceptionally smooth and successful. STUDY
OBJECTIVES: We set out to examine the design features used in the development of the system and assess which of these features played an important role in the successful implementation of the ED Dashboard.
METHODS: An anonymous survey of users of the ED Dashboard was conducted in January and February 2009 to evaluate their perceptions of the degree of success of the implementation and the importance of the design features used in that success. Results were analyzed using SPSS software (SPSS Inc., Chicago, IL).
RESULTS: Of the 188 end-users approached, 175 (93%) completed the survey. Despite minimal training in the use of the system, 163 (93%) perceived the system as easy or extremely easy to use. Users agreed that the design features employed were important contributors to the system's success. Being alerted when new test results were ready, the use of "most common" lists, and the use of color were features that were considered valuable to users.
CONCLUSION: Success of a medical information system in a busy ED is, in part, dependent on careful attention to subtle details of system design.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20619572     DOI: 10.1016/j.jemermed.2010.05.014

Source DB:  PubMed          Journal:  J Emerg Med        ISSN: 0736-4679            Impact factor:   1.484


  9 in total

1.  Checklist as a Memory Externalization Tool during a Critical Care Process.

Authors:  Aleksandra Sarcevic; Zhan Zhang; Ivan Marsic; Randall S Burd
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

2.  Using Feedback Intervention Theory to Guide Clinical Dashboard Design.

Authors:  Dawn Dowding; Jacqueline Merrill; David Russell
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

3.  Requirements for a quality dashboard: Lessons from National Clinical Audits.

Authors:  Rebecca Randell; Natasha Alvarado; Lynn McVey; Roy A Ruddle; Patrick Doherty; Chris Gale; Mamas Mamas; Dawn Dowding
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

4.  An Electronic Dashboard to Monitor Patient Flow at the Johns Hopkins Hospital: Communication of Key Performance Indicators Using the Donabedian Model.

Authors:  Diego A Martinez; Erin M Kane; Mehdi Jalalpour; James Scheulen; Hetal Rupani; Rohit Toteja; Charles Barbara; Bree Bush; Scott R Levin
Journal:  J Med Syst       Date:  2018-06-18       Impact factor: 4.460

5.  Information architecture for a patient-specific dashboard in head and neck tumor boards.

Authors:  Alexander Oeser; Jan Gaebel; Andreas Dietz; Susanne Wiegand; Steffen Oeltze-Jafra
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-03-28       Impact factor: 2.924

6.  A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study.

Authors:  Junsang Yoo; Kwang Yul Jung; Taerim Kim; Taerim Lee; Sung Yeon Hwang; Hee Yoon; Tae Gun Shin; Min Seob Sim; Ik Joon Jo; Hansol Paeng; Jong Soo Choi; Won Chul Cha
Journal:  JMIR Mhealth Uhealth       Date:  2018-11-22       Impact factor: 4.773

7.  Factors Influencing the Adoption of Online Health Consultation Services: The Role of Subjective Norm, Trust, Perceived Benefit, and Offline Habit.

Authors:  Zepeng Gong; Ziqiang Han; Xudan Li; Chao Yu; Jan D Reinhardt
Journal:  Front Public Health       Date:  2019-10-04

8.  Development, implementation and user experience of the Veterans Health Administration (VHA) dialysis dashboard.

Authors:  Michael J Fischer; Wissam M Kourany; Karen Sovern; Kurt Forrester; Cassandra Griffin; Nancy Lightner; Shawn Loftus; Katherine Murphy; Greg Roth; Paul M Palevsky; Susan T Crowley
Journal:  BMC Nephrol       Date:  2020-04-16       Impact factor: 2.388

9.  A Dashboard Prototype for Tracking the Impact of Diabetes on Hospital Readmissions Using a National Administrative Database.

Authors:  Timothy Wong; Ethan Y Brovman; Nikhilesh Rao; Mitchell H Tsai; Richard D Urman
Journal:  J Clin Med Res       Date:  2020-01-06
  9 in total

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