Improving clinical trial participant tracking tools using knowledge-anchored design methodologies

Philip R.O. Payne, P. J. Embi, S. B. Johnson, E. Mendonca, J. Starren

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Objective: Rigorous human-computer interaction (HCI) design methodologies have not traditionally been applied to the development of clinical trial participant tracking (CTPT) tools. Given the frequent use of iconic HCI models in CTPTs and prior evidence of usability problems associated with the use of ambiguous icons in complex interfaces such approaches may be problematic. Presentation Discovery (PD) a knowledge-anchored HCI design method has been previously demonstrated to improve the design of iconic HCI models. In this study we compare the usability of a CTPT HCI model designed using PD and an intuitively designed CTPT HCI model. Methods: An iconic CPTP HCI model was created using PD. The PD-generated and an existing iconic CTPT HCI model were subjected to usability testing with an emphasis on task accuracy and completion times. Study participants also completed a qualitative survey instrument to evaluate subjective satisfaction with the two models. Results: CTPT end-users reliably and reproducibly agreed on the visual manifestation and semantics of prototype graphics generated using PD. The performance of the PD-generated iconic HCI model was equivalent to an existing HCI model for tasks at multiple levels of complexity and in some cases superior. This difference was particularly notable when tasks required an understanding of the semantic meanings of multiple icons. Conclusion: The use of PD to design an iconic CTPT HCI model generated beneficial results and improved end-user subjective satisfaction while reducing task completion time. Such results are desirable in information and time intensive domains such as clinical trials management.

Original languageEnglish
Pages (from-to)177-196
Number of pages20
JournalApplied clinical informatics
Volume1
Issue number2
DOIs
StatePublished - Dec 1 2010
Externally publishedYes

Keywords

  • Biomedical research
  • Clinical trial
  • Computer graphics
  • Medical informatics
  • User-computer interface
  • Visual perception

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