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Published on: August 26, 2018
A platform for testing and comparing of real-time decision-support algorithms in mobile environments
Maxim Y Khitrov1, Matthew Rutishauser, Kevin Montgomery
1Bioinformatics Cell, TATRC, USAMRMC, Frederick, MD 21702, USA. mkhitrov@bioanalysis.org
Summary
A new plug-and-play platform enables real-time testing of clinical decision-support algorithms for pre-hospital trauma care. This system facilitates rapid development and deployment of vital tools for emergency medical services.
Area of Science:
- Biomedical Engineering
- Emergency Medicine
- Health Informatics
Background:
- Limited availability of flexible systems hinders real-time testing of decision-support algorithms in pre-hospital settings.
- This gap restricts the practical application and advancement of critical care technologies during patient transport.
Purpose of the Study:
- To introduce a novel plug-and-play platform designed for the real-time testing of decision-support algorithms.
- To enable algorithm evaluation during the pre-hospital transport of trauma casualties.
Main Methods:
- Integration of a standard vital-signs monitor for collecting physiologic time-series data (numeric and waveform).
- Utilized a rugged ultramobile personal computer for real-time data time-stamping, storage, and analysis.
- Employed an emulator for pre-deployment performance assessment, simulating field fault scenarios.
Main Results:
- The platform successfully integrates vital-signs monitoring with real-time data processing capabilities.
- Emulator testing identified and resolved software inconsistencies, validating system performance.
- Demonstrated the platform's capacity to support a rapid development cycle for decision-support algorithms.
Conclusions:
- The developed platform offers a flexible solution for real-time testing of decision-support algorithms in pre-hospital settings.
- This technology can accelerate the development and validation of advanced clinical tools for emergency medical services.
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