Optimizing healthcare capacity through predictive analytics and AI-driven prescriptive workflows.
LeanTaaS is the market leader in providing AI-driven operational excellence for healthcare systems through its flagship iQueue platform. Built on a sophisticated technical architecture that leverages constraint programming, Monte Carlo simulations, and machine learning, LeanTaaS transforms static EHR data into actionable, prescriptive workflows. By 2026, LeanTaaS has solidified its position as the 'operating system' for hospital capacity, moving beyond simple analytics to automated decision-making. The platform addresses the supply-demand mismatch in surgical suites, infusion centers, and inpatient beds by forecasting patient volume and recommending specific interventions. Its architecture is designed for high-availability enterprise environments, ensuring seamless integration with legacy EHR systems like Epic and Cerner. The system's competitive edge lies in its 'Prescriptive Analytics' engine, which doesn't just show data but proactively nudges staff to optimize schedules, manage bed exits, and maximize asset utilization, resulting in significant ROI through increased patient throughput and reduced staff burnout.
Uses machine learning to identify 'collectible' block time that is unlikely to be used, allowing other surgeons to book it earlier.
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Real-time algorithmic monitoring of hospital census to trigger mobile notifications for potential bottlenecks.
Simulates thousands of patient flow scenarios to predict infusion center wait times and peak hours.
Standardized data layer that normalizes HL7 and FHIR data across different EHR vendors for health systems.
Predicts midnight census and discharge timing with over 90% accuracy using historical discharge patterns.
An OpenTable-style interface for surgeons to view, release, and request OR time.
Aligns nursing staff schedules with predicted patient acuity and volume.
Patients experience 2-hour wait times during midday peaks while chairs are empty at 8 AM and 4 PM.
Registry Updated:2/7/2026
Use real-time dashboard to monitor chair utilization.
Adjust future schedules based on actual patient arrival variances.
Surgeons hold block time they don't use, while other surgeons wait weeks for an opening.
Emergency Departments are backed up because inpatient beds are not cleaned/available until late afternoon.