Opmed.ai offers an AI‑driven optimization platform that creates data‑based schedules for surgeries, cath labs, inpatient units, and rehabilitation services, balancing staff, equipment, and PACU constraints while predicting case durations with over 90% accuracy. The system evaluates billions of scheduling permutations to generate optimized plans, provides real‑time adjustments for emergencies, and includes a GenAI‑powered reporting suite for dashboards, automated reports, and predictive analytics, helping hospital administrators and OR managers improve resource utilization and financial performance.
Funding
$15M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OGVFounders
Product
Problem
Healthcare facilities face chronic staff shortages, limited equipment, and unpredictable procedure volumes, leading to inefficient operating‑room (OR) schedules, underutilized resources, and increased costs. Traditional manual planning cannot quickly adapt to emergencies or balance multiple constraints, resulting in delays, overtime, and reduced patient throughput.
Solution
Opmed.ai delivers an AI‑driven optimization platform that creates proactive, data‑based schedules for surgeries, cath labs, inpatient units, and rehabilitation services. By ingesting historical case data, staff rosters, equipment inventories, and PACU capacity, its engine predicts case durations with >90% accuracy and evaluates billions of scheduling permutations. The system then generates optimized schedules that balance surgeon preferences, staff workloads, and equipment availability while providing actionable alternatives such as block releases or room closures. Real‑time adjustments accommodate urgent cases without disrupting overall flow, and a GenAI‑powered reporting layer offers dashboards, automated reports, and predictive analytics to continuously improve resource utilization and financial performance.
Target Audience
Primary customers are hospital administrators, OR managers, and clinical operations leaders responsible for surgical, cath lab, and inpatient scheduling across multi‑site health systems.
Features
- AI engine predicts procedure lengths with >90% accuracy, reducing scheduling errors by up to 45%
- Optimizes OR, cath lab, and inpatient schedules by simultaneously balancing staff, equipment, and PACU constraints
- Generates proactive intervention suggestions (e.g., block releases, room closures) to increase capacity or cut costs
- Real‑time rescheduling of emergency or unscheduled cases while preserving overall plan integrity
- Customizable optimization goals—focus on revenue growth, cost reduction, or balanced utilization
- GenAI‑powered reporting suite with automated report generation, KPI dashboards, and conversational query interface
- Predictive analytics forecast staffing, equipment, and bed demand weeks in advance for proactive planning
- Multi‑site coordination enables equitable workload distribution and resource sharing across facilities