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Using software to elicit user needs for clinical research visit scheduling.

Chunhua Weng1, Mary Regina Boland1, Yat So1

  • 1Department of Biomedical Informatics, New York City.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|May 9, 2015
PubMed
Summary
This summary is machine-generated.

Understanding user needs is key for clinical research decision support tools. Using functional software like IMPACT revealed that clinical research coordinators often prefer paper due to unmet needs, such as information completeness.

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Area of Science:

  • Clinical Informatics
  • Human-Computer Interaction
  • Health Services Research

Background:

  • Effective clinical research decision support requires understanding user needs, but current methods often miss implicit requirements.
  • Self-reporting alone is insufficient for capturing detailed user needs in clinical research settings.

Purpose of the Study:

  • To explore user needs for clinical research visit scheduling decision support.
  • To evaluate the use of functional software (IMPACT) for iterative user needs elicitation.
  • To identify generalizable user needs themes for clinical decision support systems.

Main Methods:

  • Utilized a functional software prototype (IMPACT) to observe and interact with clinical research coordinators during visit scheduling tasks.
  • Employed iterative analysis of software usage data and user feedback to identify unmet needs.
  • Focused on clinical research visit scheduling as a case study.

Main Results:

  • Identified key user needs, including information completeness, which explained the continued reliance on paper-based methods for visit scheduling.
  • Demonstrated that functional software can reveal implicit and fine-grained user needs more effectively than self-reporting.
  • Observed themes related to software utility that may apply to other clinical decision support contexts.

Conclusions:

  • Functional software, like IMPACT, is a valuable tool for uncovering critical user needs in clinical research.
  • Addressing identified user needs, such as information completeness, is essential for the successful adoption of clinical decision support software.
  • The methodology for collecting and analyzing software usage data offers a generalizable approach for user needs elicitation in health informatics.