Poster · Western Institute of Nursing · 2020
The electronic health record quietly records how nurses move through it. We mined those logs to map nurses’ real workflow.
Every click in the electronic health record (EHR) leaves a trace in its audit logs. We used those logs as a data source to map how nurses actually navigate the EHR, applying data-mining methods to find recurring patterns. The aim is to use these real-world patterns as a blueprint for redesigning the EHR so it better fits how nurses work.
We applied computational ethnography to EHR audit logs using Sequential Pattern Mining and Markov Chain Analysis to characterize nurses’ navigation behaviors and predict their overall navigational pathways, offering an alternative to traditional, time-consuming workflow analysis.
Audit logs reveal hidden workflow patterns.
Data mining maps how nurses navigate.
Patterns can guide EHR redesign and a better user experience.