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Utilization of automated location tracking for clinical workflow analytics and visualization

Abstract The analysis of clinical workflow offers many challenges to clinical stakeholders and researchers, especially in environments characterized by dynamic and concurrent processes. Workflow analysis in such environments is essential for monitoring performance and finding bottlenecks and sources of error. Clinical workflow analysis has been enhanced with the inclusion of modern technologies. One such intervention is automated location tracking which is a system that detects the movement of clinicians and equipment. Utilizing the data produced from automated location tracking technologies can lead to the development of novel workflow analytics that can be used to complement more traditional approaches such as ethnography and grounded-theory based... (more)
Created Date 2018
Contributor Vankipuram, Akshay (Author) / Patel, Vimla L (Advisor) / Wang, Dongwen (Advisor) / Shortliffe, Edward H (Committee member) / Kaufman, David R (Committee member) / Traub, Stephen J (Committee member) / Arizona State University (Publisher)
Subject Operations research / Health sciences / Health care management / Clinical Workflow / Data Analytics / Real-Time Location Sensing / Visualization
Type Doctoral Dissertation
Extent 126 pages
Language English
Note Doctoral Dissertation Biomedical Informatics 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis