Development and validation of a portable platform for deploying decision-support algorithms in prehospital settings

Area of Science:

• Medical Informatics
• Biomedical Engineering
• Prehospital Care Technology

Background:

• Advanced decision-support systems can improve prehospital trauma care.
• Connecting analysis platforms to transport vital-signs monitors is key.
• Reliability of individual components and their connectivity presents technical challenges.

Purpose of the Study:

• To describe the development, validation, and deployment of the APPRAISE platform.
• To create a test bed for evaluating decision-support algorithms in prehospital settings.
• To address technical challenges in implementing connected electronic systems for emergency medical services.

Main Methods:

• Selected specific hardware and implemented tailored software solutions.
• Conducted rigorous laboratory testing using a vital-sign data simulator.
• Performed initial field testing in a real-world prehospital environment.

Main Results:

• The APPRAISE platform successfully met predefined performance goals in laboratory tests.
• Initial field testing confirmed the platform's functionality and reliability.
• The platform has been operational on Boston MedFlight air ambulances since February 2010.

Conclusions:

• The APPRAISE platform's development and testing offer insights for technology developers and healthcare stakeholders.
• Key considerations include the reliability of individual components (e.g., power, functionality) and inter-component connectivity (e.g., communication protocols, data interpretation).
• Thoughtful design and phased testing can mitigate technical challenges in connected healthcare systems.