Anesthesia Staffing Optimization: Balancing Coverage, Cost, and Clinician Well-Being
By Mark Deshur, MD, MBA — Founder & Chief Strategy Officer, ORlogic
Every anesthesiologist I know has lived some version of the same Tuesday.
You walk in at 6:30 AM. Two people called out overnight. There are four add-ons that weren’t on the board yesterday. The 7:30 in Room 6 is delayed because the pre-op nurse is covering two bays. By 9 AM, you’ve moved three assignments, called in someone on their post-call day, and quietly accepted that two rooms won’t open until after lunch — if at all. Somebody, somewhere, is writing a check for locums coverage that didn’t exist on the budget.
By 5 PM, the day “worked.” Cases got done. Patients went home safe. And the leadership team is already bracing for Wednesday, which looks worse.
This is the operational reality of anesthesia staffing in 2026. And it’s why staffing optimization has become one of the most important — and most misunderstood — priorities in perioperative care.
What we actually mean by “optimization”
Most conversations about anesthesia staffing optimization quickly collapse into a conversation about cost. That framing is a trap.
When departments approach optimization as a cost-cutting exercise, they almost always create the opposite of what they wanted: more burnout, more turnover, more overtime, more locums, and ultimately higher labor spend than where they started. I’ve watched it happen at academic centers and community hospitals alike.
Real optimization is operational alignment — the right clinicians, in the right locations, at the right times, with enough flexibility to absorb the variability that perioperative environments will always have. It sits on three legs:
Reliable clinical coverage — every room that should open, opens, with the right skill mix.
Financial sustainability — labor cost grows in proportion to volume, not ahead of it.
Clinician well-being — schedules are predictable, equitable, and humane enough to retain the people you’ve already hired.
Pull on any one of these without the others and the system gets worse. That’s the part most vendors and most strategic plans miss.
The hidden cost of running reactive
Most anesthesia departments still operate reactively. Schedulers spend their mornings reshuffling assignments based on callouts, add-ons, and surgeon behavior that changed overnight. Decisions get made with limited visibility into what next week — let alone next month — actually looks like.
In our work with health systems, three costs of this reactive posture show up consistently.
The premium labor leak. Departments often look fully staffed on paper while quietly spending seven figures a year on avoidable overtime, late stays, and locums coverage. The reason is almost always the same: staffing gaps are identified too late to solve with anything except premium pay. One mid-sized health system we worked with was spending more than $2M annually on locums for a forecasting gap of roughly three weeks. They didn’t need more clinicians. They needed earlier visibility.
The retention spiral. Reactive environments are exhausting. Frequent late days, unpredictable schedules, and uneven workload distribution are the leading indicators of burnout — and burnout is the leading indicator of resignations. Replacing an experienced anesthesiologist costs roughly $1M when you account for recruitment, ramp time, and lost throughput. CRNAs aren’t far behind. Departments that destabilize their staffing to save money often end up paying for it twice: once in turnover costs, and again in the operational disruption that follows.
The capacity ceiling. Many hospitals have OR space they cannot use because they don’t have the staffing confidence to open the room. The physical capacity exists. The clinical demand exists. The block requests are sitting in someone’s inbox. But without forward visibility into anesthesia coverage, leadership can’t say yes. This is one of the most expensive forms of waste in perioperative care, and it almost never shows up on a P&L.
These three costs compound. A department spending too much on premium labor often can’t afford to invest in the structural improvements that would reduce premium labor. A department losing clinicians to burnout has less margin to absorb variability, which creates more burnout. The cycle is real, and it’s hard to break from inside the cycle.
Why historical averages stopped working
The most common forecasting tool in anesthesia today is still some version of “what did we do last year?”
Average daily case volume rarely reflects operational reality. Surgical demand varies dramatically by day of week, season, surgeon vacation schedules, block utilization, conference travel, residency rotation changes, and a dozen other variables that no individual scheduler can synthesize manually. A department staffing to broad averages will overstaff Mondays and understaff Thursdays — every week, predictably, while the data sitting in their EMR could have told them exactly that.
The departments getting this right are doing something fundamentally different. They’re predicting surgical demand weeks in advance at the room and service-line level. They’re identifying likely coverage gaps before the gap exists. They’re modeling staffing scenarios — what happens if we move this block, add this float, shift this call structure — and seeing the downstream impact before they commit.
This is a different conversation than the one most departments are having. Instead of “how do we solve tomorrow’s crisis,” it becomes “what should we change now to prevent next month’s.” That shift sounds incremental. It’s not. It changes who gets blamed when things go wrong, where leadership attention goes, and whether the staffing function is seen as strategic or clerical.
Building a model that holds up
Sustainable staffing models share a few characteristics, and they’re worth naming because most departments have one or two but rarely all of them.
Flexible structures, not constant change. Rigid templates can’t absorb real-world variability. Variable shift lengths, cross-site capability, float pools, tiered late coverage, and dynamic assignment all help. The goal isn’t to put clinicians on a different schedule every week — that’s the fastest way to lose them. It’s to build enough structural flexibility into the system that predictable variability doesn’t require disrupting individuals.
Data informing leadership, not replacing it. The best operational leaders I’ve worked with have intuitions about their departments that no algorithm will match. The problem is that perioperative complexity has outgrown what any individual can hold in their head. Good staffing intelligence doesn’t replace those leaders — it gives them visibility they couldn’t otherwise have, so their judgment gets applied to the right problems at the right time.
Scheduling and staffing on the same page. In most organizations, the surgical schedule and the anesthesia staffing plan live in different systems, owned by different people, on different timelines. The blind spots this creates are expensive. Departments that integrate visibility across these functions — and across sites, in multi-hospital systems — make better decisions earlier.
The well-being question is an operational question
Five years ago, clinician well-being was treated as a culture issue, separate from operations. That distinction has collapsed.
Burnout directly determines retention. Retention determines staffing stability. Staffing stability determines throughput, financial performance, and patient safety. There is no version of operational excellence in anesthesia today that doesn’t take well-being seriously, and the departments still treating it as a soft topic are the ones losing clinicians fastest.
Two things matter most here.
Fairness, visibly. Clinicians notice when assignments are uneven — late stays, holiday coverage, weekend call, case complexity. They notice faster than leadership thinks they do, and perceived inequity erodes morale even in highly productive departments. Modern staffing decisions should be auditable: who took what, when, and why. This doesn’t mean every assignment has to be identical. It means the logic has to be defensible.
Predictability, where possible. Most clinicians can tolerate a hard job. What they struggle with is chaos — last-minute changes, no visibility into next month, no confidence that requested time off will hold. Reducing unnecessary unpredictability is one of the highest-leverage things a department can do for retention, and it costs almost nothing once the forecasting infrastructure exists.
A department that gets fairness and predictability right tends to need less overtime, less locums coverage, and less recruitment spending — because the people already there are willing to stay.
How to know if it’s working
If you only measure labor cost, you’ll cut too deep and pay for it elsewhere. The departments doing this well track across three dimensions:
Operational: OR utilization, first-case on-time starts, staffing gap frequency, add-on accommodation, room closures.
Financial: Labor cost per OR hour, overtime, locums spend, premium labor as a percentage of total.
Workforce: Turnover, schedule predictability, fairness metrics, vacation approval rates, engagement.
You want all three moving in the right direction. A department whose financial metrics improve while workforce metrics deteriorate is borrowing from its future, and the loan is usually called within 18 months.
The next few years
The pressures on anesthesia departments — rising surgical volume, persistent workforce shortages, labor costs outpacing reimbursement, growing demand for sustainable schedules — are not going to ease. If anything, the gap between organizations that have built predictive staffing infrastructure and those still running reactively will widen.
The departments that succeed in this environment will look different from the ones that succeed today. They’ll forecast further out. They’ll integrate scheduling and staffing as one function, not two. They’ll measure clinician well-being with the same rigor they measure financial performance. And they’ll treat operational visibility as infrastructure — something you invest in once and benefit from for years.
The departments that don’t make this shift won’t fail loudly. They’ll just keep having Tuesdays like the one I described at the top, except more often, with fewer people, and with a leadership team that’s increasingly out of options.
The goal of anesthesia staffing optimization isn’t surviving the daily staffing challenge. It’s building a system where clinicians, patients, and organizations can perform at their best — and where Tuesday morning doesn’t decide the rest of the week.