Literature DB >> 27453959

Evaluating a Clinical Decision Support Interface for End-of-Life Nurse Care.

Alessandro Febretti1, Janet Stifter2, Gail M Keenan2, Karen D Lopez2, Andrew Johnson1, Diana J Wilkie2.   

Abstract

Clinical Decision Support Systems (CDSS) are tools that assist healthcare personnel in the decision-making process for patient care. Although CDSSs have been successfully deployed in the clinical setting to assist physicians, few CDSS have been targeted at professional nurses, the largest group of health providers. We present our experience in designing and testing a CDSS interface embedded within a nurse care planning and documentation tool. We developed four prototypes based on different CDSS feature designs, and tested them in simulated end-of-life patient handoff sessions with a group of 40 nurse clinicians. We show how our prototypes directed nurses towards an optimal care decision that was rarely performed in unassisted practice. We also discuss the effect of CDSS layout and interface navigation in a nurse's acceptance of suggested actions. These findings provide insights into effective nursing CDSS design that are generalizable to care scenarios different than end-of-life.

Entities:  

Keywords:  Clinical Decision Support; Electronic Health Records; Human Computer Interaction; Nursing

Year:  2014        PMID: 27453959      PMCID: PMC4955939          DOI: 10.1145/2559206.2581170

Source DB:  PubMed          Journal:  Ext Abstr Hum Factors Computing Syst


  4 in total

1.  Lessons learned from usability testing of the VA's personal health record.

Authors:  David A Haggstrom; Jason J Saleem; Alissa L Russ; Josette Jones; Scott A Russell; Neale R Chumbler
Journal:  J Am Med Inform Assoc       Date:  2011-10-08       Impact factor: 4.497

2.  A Component-Based Evaluation Protocol for Clinical Decision Support Interfaces.

Authors:  Alessandro Febretti; Karen D Lopez; Janet Stifter; Andrew E Johnson; Gail M Keenan; Diana J Wilkie
Journal:  Des User Exp Usability       Date:  2013-07

3.  Data mining nursing care plans of end-of-life patients: a study to improve healthcare decision making.

Authors:  Fadi Almasalha; Dianhui Xu; Gail M Keenan; Ashfaq Khokhar; Yingwei Yao; Yu-C Chen; Andy Johnson; R Ansari; Diana J Wilkie
Journal:  Int J Nurs Knowl       Date:  2012-08-17       Impact factor: 1.222

4.  Health care costs in the last week of life: associations with end-of-life conversations.

Authors:  Baohui Zhang; Alexi A Wright; Haiden A Huskamp; Matthew E Nilsson; Matthew L Maciejewski; Craig C Earle; Susan D Block; Paul K Maciejewski; Holly G Prigerson
Journal:  Arch Intern Med       Date:  2009-03-09
  4 in total
  1 in total

1.  Automation in nursing decision support systems: A systematic review of effects on decision making, care delivery, and patient outcomes.

Authors:  Saba Akbar; David Lyell; Farah Magrabi
Journal:  J Am Med Inform Assoc       Date:  2021-10-12       Impact factor: 7.942

  1 in total

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