113 which transforms healthcare operations through AI-driven planning. Its platform goes beyond simple recommendations – it builds the most efficient schedules possible by analysing billions of permutations to construct optimised work plans. Opmed’s powerful AI engine doesn’t simply rely on historical data, as it is able to identify patterns using a variety of individual case requests to predict durations with over 90 per cent accuracy. Opmed.ai helps hospitals maximise the OR by creating usable blocks of time that can be used either for additional procedures or cost reduction through room closures. The platform includes a scheduler builder; a block architect, which identifies hospital blocks that are likely to go unused; a post anesthesia care unit planner that sources available resources and recovery rooms; and a multi-site balancer to help patients get seen quicker while reducing staff and room idle time. It also includes an ‘Opmed staff’, which manages staff assignments by predicting requirements, coordinating across departments and creating equitable schedules that balance organisational needs with staff preferences. Opmed.ai customers – including global medical group Mayo Clinic and Geisinger, a regional healthcare provider in Pennsylvania – are seeing remarkable results. At Mayo Clinic, Opmed.ai’s AI model reduced the time it takes to predict medical cases from 60 to 34 minutes per case, saving more than 200 hours annually per OR. At Geisinger, the platform achieved 96 per cent scheduling accuracy in daily case predictions and a 90 per cent success rate in block release recommendations, with significant monthly time savings across their facility types. “Opmed.ai’s advanced platform aligns with our mission to make healthcare more accessible and efficient,” said Jeffrey Adams, chief administrative officer for surgical and medical services at Geisinger. “We’re already seeing first results and are confident this technology will help us maximise our OR capacity and accelerate patient care.” Both Opmed.ai and Artisight are using Microsoft Azure AI in trailblazing ways, which is impressive given the high bar for security, compliance and confidentiality in the healthcare industry. And while the application of AI in the surgical theatre from organisations like Artisight and Opmed.ai is behind the scenes, the patients, their families and hospital staff are already experiencing improved patient outcomes, reduced staff burdens and maximised efficiency. Sally Ann Frank is worldwide lead for health and life sciences at Microsoft for Startups PUBLIC SECTOR Opmed.ai helps healthcare providers to schedule operations based on room availability
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