Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review
Background: Electronic early warning/track-and-trigger systems (EW/TTS) are crucial for patient monitoring, detecting clinical deterioration (CD), and activating rapid response teams. Understanding the current level of automation in EW/TTS is essential. Objective: This study aimed to provide a comprehensive overview and critical assessment of electronic EW/TTS, including automated features, algorithms, and technologies, following a published registered study protocol. Methods: Based on the PRISM
Record details
Published: 10 August 2026
Source: JMIR (Journal of Medical Internet Research)
Category: Research
Topics: Jobs & economy · Healthcare
Retrieved: 11 August 2026
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How to cite this record
ethics.ai (10 August 2026), “Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review,” evidence record 18083, https://ethics.ai/record/18083 (originally published by JMIR (Journal of Medical Internet Research)).
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