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Development of a Novel Emergency Department Mapping Tool
Matthew Grzywinski1, Stephanie Carlisle2, James Coleman2
1Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA.
HERD
|April 12, 2019
Summary
A new mapping workflow for healthcare environments was developed and tested in an emergency department (ED). This method provides high-resolution data to enhance patient safety and operational efficiency.
Area of Science:
- Healthcare operations research
- Environmental design in medicine
- Spatial analysis in healthcare
Background:
- The built environment significantly influences patient care delivery and operational efficiency in healthcare settings.
- Existing technologies like radio-frequency identification have limitations for detailed environmental analysis.
- A customized mapping workflow was designed to overcome these limitations and capture high-resolution spatial, temporal, and activity data.
Purpose of the Study:
- To develop a built environment mapping workflow for healthcare settings.
- To implement this workflow within an emergency department (ED).
- To demonstrate actionable data representations for improving healthcare environments, focusing on patient safety and operational efficiency.
Main Methods:
- A collaboration between an urban academic medical center's ED and an architecture firm.
- Utilization of ArcGIS tools and data collectors for a comprehensive mapping workflow.
- Development of specific tools for collecting data on the ED, patients, physicians, and nurses.
Main Results:
- Collection of 5,113 data points across 48 hourly snapshots of ED operations.
- Tracking of 84 patients, 10 attending physicians, 10 resident physicians, and 17 nurses.
- Creation of advanced visual representations from the collected master data set.
Conclusions:
- The pilot study successfully generated advanced visual representations of the ED environment.
- The developed mapping workflow is cost-effective and potentially applicable to other healthcare settings.
- Further research is needed to fully evaluate the benefits of this high-resolution spatial data.
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