LeanTaaS IQueue

Begin each shift with a live snapshot of capacity and a prioritized to‑do list. OR leaders see staffed rooms, idle time, and likely no‑shows flagged by historical patterns and current bookings. From the same view, release underused blocks to a shared pool, ping interested surgeons, and auto-rank waitlisted cases by fit, prep status, and resource needs. A coordinator can convert an opportunity into a confirmed case in minutes: the system checks conflicts, predicts case length, verifies equipment availability, and aligns staffing. All changes are timestamped, so weekly performance huddles can trace exactly how time was recovered and who benefited.

As the day evolves, handle add-ons and cancellations without scramble. Surgeons request extra time through self-service; the system simulates the impact on turnover, anesthesia coverage, and downstream cases before you click approve. If two scenarios compete for the same room, side-by-side projections compare throughput, overtime risk, and revenue so leaders can choose the better option. Once set, the OR board updates instantly, patient notifications are triggered, and ancillary teams get task lists for positioning, sterilization, and transport. Recurring underuse patterns surface automatically, prompting targeted block right-sizing discussions supported by transparent data.

Access managers can reshape clinic and procedural schedules in hours, not weeks. Run a weekly optimization that reviews template rules, visit types, and seasonality; it proposes slot mixes that balance demand across days and cut bottlenecks. Publish updates to the scheduling team in one action, including guardrails for double-booking, protected new-patient holds, and equipment-based constraints. A built-in fill engine continuously watches for openings, offers best-fit slots to the highest-priority patients, and assigns follow-up tasks to call centers when an automated outreach won’t suffice. The result is steadier daily volume, fewer last-minute gaps, and shorter waits for high-need patients.

On the inpatient side, the house supervisor uses a live forecast to pace admissions and preassign beds hours ahead. Predicted discharges, transfer requests, and post-op arrivals feed a match engine that pairs each patient to the best unit based on acuity, isolation, and care pathways. Discharge barriers—imaging, consults, transport—are tracked with owners and ETAs, so delays are escalated before they stall the flow. When a surge looms, run a quick what-if: adjust staffing, defer elective arrivals by a small window, and unlock step-down capacity. Throughout the day, color-coded cues guide bed placement decisions that cut boarding, reduce avoidable days, and keep teams aligned across perioperative, inpatient, and access operations.