{
  "id": 18083,
  "url": "https://www.jmir.org/2026/1/e58233",
  "title": "Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review",
  "summary": "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",
  "authors": "Sharareh Rostam Niakan Kalhori, Mostafa Haghi, Masresha Derese Tegegne, Viktor MG Sobotta, Paulo Haas, Nagarajan Ganapathy, Thomas M Deserno",
  "category": "research",
  "topics": "jobs-economy,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T21:00:24.000Z",
  "fetched_at": "2026-08-11T05:10:37.351Z",
  "source_slug": "x-jmir-journal-of-medical-internet-researc",
  "source_name": "JMIR (Journal of Medical Internet Research)",
  "source_homepage": "https://www.jmir.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18083",
  "original_url": "https://www.jmir.org/2026/1/e58233",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}