Usability of reports generated by a computerised dose prediction software

Melissa Baysari, Joanne Chan, Jane Carland, Sophie Stocker, Maria Moran, Richard Day

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)
6 Downloads (Pure)

Abstract

Computerised dose prediction software assist clinicians in undertaking therapeutic drug monitoring by providing individualised dosing recommendations, typically communicated to prescribers in the form of a report. These software are highly sophisticated and accurate in predicting individualised dosage regimens, but if the information contained in the report is not understood by prescribers, the benefits of the software are not achieved. In this study, we set out to assess the perceived usability of a report generated from a dose prediction system. Fifteen prescribers were presented with a mock report and asked a number of questions to elicit their views of the report's content and design. Overall, we found that the mock report was effective in communicating the recommended dose of a drug, but this recommendation was presented alongside information that was not understood or was unlikely to be utilised by prescribers. In particular, the aspects of the report viewed negatively by end-users largely related to a lack of familiarity with the pharmacological terminology used in the report, which hindered understanding and caused confusion. Involving prescribers early on in the process of designing decision support systems is likely to result in systems and outputs that are more useful, usable and accessible to users.

Original languageEnglish
Title of host publicationConnecting the System to Enhance the Practitioner and Consumer Experience in Healthcare
Subtitle of host publicationSelected Papers from the 26th Australian National Health Informatics Conference (HIC 2018)
EditorsElizabeth Cummings, Angela Ryan, Louise K. Schaper
Place of PublicationAmsterdam
PublisherIOS Press
Pages27-32
Number of pages6
ISBN (Electronic)9781614998907
ISBN (Print)9781614998891
DOIs
Publication statusPublished - 1 Jan 2018
Event26th Australian National Health Informatics Conference (HIC 2018) - Sydney, Australia
Duration: 29 Jul 20181 Aug 2018

Publication series

NameStudies in health technology and informatics
PublisherIOS Press
Volume252
ISSN (Print)0926-9630

Conference

Conference26th Australian National Health Informatics Conference (HIC 2018)
CountryAustralia
CitySydney
Period29/07/181/08/18

Bibliographical note

Copyright the Author(s) and IOS Press 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Decision support
  • dose prediction software
  • usability

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