ANESTHESIOLOGY WORKFORCE INTELLIGENCE
Originated inside a major academic health system | Clinician-built | Validated in live operations
The Problem
Labor costs are climbing and the talent pool is shrinking. But the deeper problem isn’t the market — it’s that the data you need to act confidently doesn’t exist in one place. So your floor does the only rational thing: it overstaffs.
CRNA compensation rose 28% between 2019 and 2024. The workforce is thinning and credentialing takes 6–12 months. You can’t hire your way out of this.
Scheduling, EHR, and OR systems each tell part of the story. No existing tool connects staffing hours to actual OR case demand across locations, case types, and time.
Add-on cases, late starts, unpredictable volume — no staffing plan built on the schedule alone is ever quite right.
Overstaffing is invisible — and without reliable data, it’s the only rational choice. That’s the gap Losai closes.
The Platform
Losai is a workforce intelligence platform for health systems — not a scheduling tool. It brings your staffing data, case history, and OR demand together in a single view. Whether you’re running an academic medical center, a community hospital, or a multi-site system, it tells you what tomorrow, next month, and next year require.
THREE PLANNING HORIZONS
FTE strategy, hiring projections, new surgeon ramp-up
Roster decisions, vacation approvals, shift restructuring
Who is needed, where, at what hour, by specialty
BUILT TO WORK WITH WHAT YOU HAVE
No replacement, no disruption. Your scheduling software, EHR, and OR systems stay exactly as they are. Losai connects them — and you’re live within approximately 60 days.
Not everyone can go everywhere. Credentialing, qualifications, preferences, and geographic range — all accounted for, automatically. Built and validated across academic, community, specialty, and ambulatory environments.
Losai projects forward from real case patterns, actual add-on rates, and live staffing data. The model retrains daily as your system evolves.
Losai runs on de-identified scheduling and case extracts. No PHI transmitted or stored. Delivered as SaaS – nothing to install, nothing to maintain.
A major academic health system discovered it was scheduling significantly more anesthesiology hours than its ORs actually required. Here’s what changed when they could see the gap clearly.
Increase in case volume
Reduction in anesthesiology staffing demand
Anesthesiology staff utilization rate
“It became a triple win – better utilization of our anesthesiology teams, stronger financial performance, and a more predictable workday for our staff.”
Padma Gulur, MD
Executive Vice Chair, Department of Anesthesiology
Results
When staffing aligns with actual OR demand, the gains don’t stay in one department. They compound across the entire system.
OR capacity that was sitting idle gets put to work. Case volume grows — without adding headcount or opening new facilities.
Every covered OR hour generates more net value. Revenue increases as case volume grows; unnecessary labor costs decrease as overstaffing becomes visible and manageable.
Overtime declines. Same-day call-offs trend toward zero. Predictable schedules address one of the primary drivers of anesthesiologist burnout and attrition.
Multi-specialty complexity and credentialing-aware requirements.
Lean teams where one staffing decision moves the whole P&L.
Cross-site visibility and coordination.
High throughput, predictable case mix – staff to the day, not the worst case.
Implementation
No new infrastructure. No data scientists. No rip-and-replace.
Pull scheduling and case data from existing systems; ~16–20 data elements
Label your location hierarchy and apply specialty rules; Losai provides the template
Spot-check and confirm accuracy; typically 2–4 weeks
Model retrains overnight; predictive clarity within ~60 days of kickoff
