{"version":1,"type":"story","url":"https://digestai.news/story/symplr-adds-ai-scheduling-to-predict-healthcare-staffing-needs","json":"https://digestai.news/story/symplr-adds-ai-scheduling-to-predict-healthcare-staffing-needs.json","markdown":"https://digestai.news/story/symplr-adds-ai-scheduling-to-predict-healthcare-staffing-needs.md","slug":"symplr-adds-ai-scheduling-to-predict-healthcare-staffing-needs","headline":"Symplr adds AI scheduling to predict healthcare staffing needs","summary":"symplr launched **symplr Time and Scheduling** on October 26, combining AI-driven scheduling with timekeeping to help hospitals reduce last-minute staffing gaps. The tool uses predictive models to forecast demand up to **120 days ahead**, then recommends schedule adjustments based on staff availability, preferences, and historical patterns. Managers approve or reject suggestions, ensuring clinical operations and employee needs align.\n\nThe product integrates with symplr’s existing **Smart Square** technology, which includes open-shift management, enterprise-wide workforce visibility, and connections to HR, payroll, and electronic medical records. The company claims its scheduling and time-and-attendance capabilities previously cut staffing-related tasks by **approximately 50%** and could free **up to 75%** of payroll team capacity. However, these figures come from earlier results, not a new evaluation of the new product.\n\nA **2026 Compass Survey** by symplr and CHIME found that **41%** of U.S. hospitals still use fully manual scheduling, while **35%** rely on minimal automation. Only **4%** reported full automation. The survey, conducted from June 1 to July 17, 2026, highlights ongoing friction in workforce planning, which the new tool aims to address by reducing manual adjustments and improving flexibility for nurses.","keyPoints":["symplr Time and Scheduling combines AI scheduling with timekeeping to predict staffing needs up to 120 days ahead","AI recommends schedule adjustments based on staff preferences, rules, and historical patterns, with manager approval required","symplr claims its existing scheduling tools cut staffing tasks by 50% and could free 75% of payroll team capacity"],"whyItMatters":"The tool could reduce administrative burden for hospitals by automating schedule balancing and timekeeping, potentially saving time and labor costs. It targets a persistent gap in healthcare AI adoption, where only 4% of hospitals report full automation.","category":{"slug":"enterprise","name":"Enterprise & Industry","url":"https://digestai.news/category/enterprise"},"entities":{"companies":["symplr","CHIME"],"models":[],"people":["Ali Morin","Scott Sbihli"]},"firstPublishedAt":"2026-10-26T23:12:12Z","updatedAt":"2026-10-26T23:12:12Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"Unite.AI","title":"symplr Launches AI Time and Scheduling to Predict Healthcare Staffing Needs","url":"https://unite.ai/symplr-ai-time-scheduling-predictive-healthcare-staffing","publishedAt":"2026-10-26T23:12:12Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Symplr adds AI scheduling to predict healthcare staffing needs\", 26 October 2026, https://digestai.news/story/symplr-adds-ai-scheduling-to-predict-healthcare-staffing-needs","publisher":"Digest AI","title":"Symplr adds AI scheduling to predict healthcare staffing needs","datePublished":"2026-10-26T23:12:12Z","url":"https://digestai.news/story/symplr-adds-ai-scheduling-to-predict-healthcare-staffing-needs"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}