{
  "id": 19559,
  "url": "https://www.jmir.org/2026/1/e97672",
  "title": "Predicting Critical Outcomes in Suspected Cardiopulmonary Emergencies Using Dispatch Narratives: Temporal Validation Study",
  "summary": "Background: Early risk stratification in emergency medical services (EMS) is essential for patients presenting with acute cardiopulmonary symptoms, yet prehospital decision-making at the dispatch stage is often based on limited structured information. Free-text dispatch narratives may contain additional clinical signals, but their role in early risk assessment remains insufficiently characterized. Objective: This study aims to develop and temporally validate a natural language processing–assiste",
  "authors": "Zhe Li, Lei Shi, Chunting Luo, Siqi Huang, Jianmin Qin, Min Yao, Sanshan Zhu, Zhengzhuang Huang, Yinghua Nong, Guozheng Qiu, Liwen Lyu",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-14T20:30:13.000Z",
  "fetched_at": "2026-08-15T05:10:17.122Z",
  "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/19559",
  "original_url": "https://www.jmir.org/2026/1/e97672",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}