Journal article
Knowledge Elicitation of Homecare Admission Decision Making Processes via Focus Group, Member Checking and Data Visualization
AMIA ... Annual Symposium proceedings, v 2018, pp 1127-1136
2018
PMID: 30815155
Abstract
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.
Metrics
4 Record Views
Details
- Title
- Knowledge Elicitation of Homecare Admission Decision Making Processes via Focus Group, Member Checking and Data Visualization
- Creators
- Yushi Yang - Drexel University, College of Computing and InformaticsEllen J Bass - Drexel UniversityPaulina S Sockolow - Drexel University, College of Nursing and Health Professions, Philadelphia PAKathryn H Bowles - Visiting Nurse Service of New York
- Publication Details
- AMIA ... Annual Symposium proceedings, v 2018, pp 1127-1136
- Conference
- AMIA Annual Symposium
- Number of pages
- 1
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics); Civil, Architectural, and Environmental Engineering; Health Sciences Division
- Scopus ID
- 2-s2.0-85062379486
- Other Identifier
- 991019173903804721