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Data Analytics Under Deployed Conditions: A Case Study
Mark D Mellott1, Mark J Bonica, Matthew J Mapes
1Defense Health Agency, Washington, DC.
Healthcare planners in combat zones need effective data analysis for decision-making. This study details collecting and analyzing forward surgical team utilization data to improve field operations.
Area of Science:
- Military Medicine
- Health Services Research
- Data Analytics
Background:
- Healthcare planners in combat environments face challenges transforming raw data into actionable information.
- Effective decision-making relies on analyzing diverse and often unorganized datasets.
- Forward surgical teams require specific data for operational efficiency.
Purpose of the Study:
- To present a case study on collecting and analyzing data related to forward surgical team utilization.
- To share the types of data collected and the methodologies employed in the analysis.
- To propose a recommended process for data analysis in field settings.
Main Methods:
- Data collection from forward surgical team operations.
- Analysis of various data types relevant to team utilization.
- Case study approach to illustrate the process.
Main Results:
- Identification of diverse data points crucial for operational understanding.
- Demonstration of a practical data analysis process in a challenging environment.
- Insights into the utility and challenges of field data collection.
Conclusions:
- A structured approach to data collection and analysis is vital for forward surgical teams.
- The proposed process can enhance decision-making for healthcare planners in combat zones.
- Further refinement of field data analysis methods is recommended.
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