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Affirming Proposed Variable Relationship Patterns in a Conceptual Nursing Model by Converting Qualitative Data to
1University of Texas Health Science Center San Antonio, Texas.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|March 9, 2017
Summary
This study explores Health Information Technology's impact on nursing workflows. Using qualitative data and causal loop diagrams, it enhances understanding of nursing workarounds and clinical processes.
Area of Science:
- Nursing Informatics
- Health Information Technology
- Systems Modeling
Background:
- Limited understanding of Health Information Technology's (HIT) impact on nursing work and workarounds persists despite decades of use.
- Over-reliance on quantitative methods has restricted a comprehensive perspective on these phenomena.
Purpose of the Study:
- To explore the impact of Health Information Technology on nursing work and workarounds.
- To develop a Health Information Technology Workaround model using qualitative data and causal loop diagrams.
- To enhance the understanding of nursing clinical workflow and associated workarounds.
Main Methods:
- Employed a multimethods research approach.
- Utilized qualitative data to develop causal loop diagrams.
- Informed the creation of a Health Information Technology Workaround model.
Main Results:
- Qualitative data and causal loop diagrams were developed to model HIT workarounds.
- The study proposes a novel research strategy for nursing literature.
- This approach offers improved insights into nursing clinical workflow.
Conclusions:
- The use of causal loop diagrams and systems modeling in nursing research can enrich insights.
- This methodology encourages scientific dialogue on clinical workflow complexity and HIT integration.
- Future research should explore these systems modeling approaches in nursing.
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