Literature DB >> 30394879

Usability Evaluation of a Dashboard for Home Care Nurses.

Dawn Dowding1, Jacqueline A Merrill, Yolanda Barrón, Nicole Onorato, Karyn Jonas, David Russell.   

Abstract

The introduction of electronic health records has produced many challenges for clinicians. These include integrating technology into clinical workflow and fragmentation of relevant information across systems. Dashboards, which use visualized data to summarize key patient information, have the potential to address these issues. In this article, we outline a usability evaluation of a dashboard designed for home care nurses. An iterative design process was used, which consisted of (1) contextual inquiry (observation and interviews) with two home care nurses; (2) rapid feedback on paper prototypes of the dashboard (10 nurses); and (3) usability evaluation of the final dashboard prototype (20 nurses). Usability methods and assessments included observation of nurses interacting with the dashboard, the system usability scale, and the Questionnaire for User Interaction Satisfaction short form. The dashboard prototype was deemed to have high usability (mean system usability scale, 73.2 [SD, 18.8]) and was positively evaluated by nurse users. It is important to ensure that technology solutions such as the one proposed in this article are designed with clinical users in mind, to meet their information needs. The design elements of the dashboard outlined in this article could be translated to other electronic health records used in home care settings.

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Year:  2019        PMID: 30394879      PMCID: PMC6326881          DOI: 10.1097/CIN.0000000000000484

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  8 in total

1.  "A catalyst for action": Factors for implementing clinical risk prediction models of infection in home care settings.

Authors:  Dawn Dowding; David Russell; Margaret V McDonald; Marygrace Trifilio; Jiyoun Song; Carlin Brickner; Jingjing Shang
Journal:  J Am Med Inform Assoc       Date:  2021-02-15       Impact factor: 4.497

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.  Interaction Time with Electronic Health Records: A Systematic Review.

Authors:  Yuliya Pinevich; Kathryn J Clark; Andrew M Harrison; Brian W Pickering; Vitaly Herasevich
Journal:  Appl Clin Inform       Date:  2021-08-25       Impact factor: 2.762

4.  Visualizing Opportunity Index Data Using a Dashboard Application: A Tool to Communicate Infant Mortality-Based Area Deprivation Index Information.

Authors:  Naleef Fareed; Christine M Swoboda; Pallavi Jonnalagadda; Tyler Griesenbrock; Harish R Gureddygari; Alison Aldrich
Journal:  Appl Clin Inform       Date:  2020-08-05       Impact factor: 2.342

5.  The Time is Now: Informatics Research Opportunities in Home Health Care.

Authors:  Paulina S Sockolow; Kathryn H Bowles; Maxim Topaz; Gunes Koru; Ragnhild Hellesø; Melissa O'Connor; Ellen J Bass
Journal:  Appl Clin Inform       Date:  2021-02-17       Impact factor: 2.342

6.  Exploring the Experiences of Family Caregivers of Children With Special Health Care Needs to Inform the Design of Digital Health Systems: Formative Qualitative Study.

Authors:  Ryan Tennant; Sana Allana; Kate Mercer; Catherine M Burns
Journal:  JMIR Form Res       Date:  2022-01-05

7.  Why Are Digital Health Care Systems Still Poorly Designed, and Why Is Health Care Practice Not Asking for More? Three Paths Toward a Sustainable Digital Work Environment.

Authors:  Johanna Persson; Christofer Rydenfält
Journal:  J Med Internet Res       Date:  2021-06-22       Impact factor: 5.428

8.  Usability Testing a Potentially Inappropriate Medication Dashboard: A Core Component of the Dashboard Development Process.

Authors:  Regina Richter Lagha; Zachary Burningham; Brian C Sauer; Jianwei Leng; Celena Peters; Tina Huynh; Shardool Patel; Ahmad S Halwani; B Josea Kramer
Journal:  Appl Clin Inform       Date:  2020-08-12       Impact factor: 2.342

  8 in total

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