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  "path": "/news/2026-02-driven-staffing-major-health.html",
  "publishedAt": "2026-02-13T04:20:27.000Z",
  "site": "https://medicalxpress.com",
  "tags": [
    "Surgery"
  ],
  "textContent": "New research published in Operations Research shows that health care systems can substantially reduce overtime, idle time, and overall staffing costs by adopting a multilocation, dynamic staff-planning model for anesthesiologists. The study is based on the University of Pittsburgh Medical Center (UPMC), which cut daily overtime and idle time across 11 hospitals, generating over $800,000 in annual cost savings.",
  "title": "New research finds data-driven staffing model delivers major cost savings for health care systems"
}