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Description

Researchers elicit knowledge related to expert decision-making processes to inform information technology design and related interventions. However, in healthcare, many subject matter experts have limited time for such endeavors. In addition, researchers need to analyze voluminous amounts of qualitative data. Thus, we present a data collection and validation methodology: an initial focus group followed by targeted member checking, both supported by data visualization. We ground the work in a homecare admission case study. We conducted a focus group with six homecare admitting nurses at a rural agency. Our custom visualizations of the qualitative results helped to identify potential missing information. We conducted a member checking session with five nurses to validate the focus group results and to address the missing data. The member checking results were incorporated into the custom visualizations. The data collection and validation methodology shows promise for knowledge elicitation in time-constrained situations.

Learning Objective 1: Describe how data visualization can support analysts in preparing for member checking

Authors:

Yushi Yang, Drexel University
Ellen Bass (Presenter)
Drexel University

Paulina Sockolow, Drexel University
Kathryn Bowles, University of Pennsylvania

Presentation Materials:

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