RogueHire

26 days. That's where the top 10th percentile of 200+ healthcare organizations in our 2026 Benchmark Program lands for Housekeeping time-to-fill. Some of the best restaurant groups in the country do it in 3. The gap is real, and it's worth understanding why before assuming it's a process problem or regulatory difference. Joshua Secrest ran Global TA and talent strategy at McDonald's, where he helped launch McHire. When I had him on TAITT, he walked through how the speed happened. Leading restaurant groups tie unfilled positions directly to revenue, location by location, and quantify exactly how much an understaffed location is costing. That number is what gets executive attention, and the process changes come after. Healthcare has the same data opportunity. An understaffed nursing unit generates traveler spend, overtime, and closed beds, all of it quantifiable at the req level. The question that rarely gets a clean answer is which open reqs are genuinely in crisis versus which ones have enough organic flow to fill without active sourcing support. That's where the spend problem lives. Your non-clinical roles, dietary, housekeeping, transport, patient care techs, are competing against employers who run req-level risk data and move their dollars fast on the reqs that need it. When every open req gets the same sourcing treatment regardless of urgency, the budget distributes by habit rather than by need. Segmenting reqs by urgency and risk is what pre-spend intelligence means in practice. Your current data, benchmarked against what similar roles have historically needed, tells you where to move fast and where to hold. That's the discipline the best restaurant operators built that healthcare is still catching up to. Did the 3 vs. 26 gap surprise you?

"Set it and forget it" is the most expensive habit in recruitment marketing. And it's not your programmatic vendor's fault. Programmatic platforms are built to optimize distribution — clicks, applies, cost per apply. They're great at it. But most don't have access to what's happening inside your pipeline. They can't see that a req already has a candidate at final offer, or that another has stalled for 10 days with zero hiring manager engagement. That's not a technology failure. It's a visibility gap between your buying engine and your ATS. When we audit sponsored requisitions across our community, the waste is specific and measurable. One regional multi-site employer found: → 11% of sponsored reqs had a candidate at final offer — still pulling ad budget → 23% already had sufficient application volume → 25% had an active candidate with zero engagement for 7+ days The platform was doing its job. It just didn't have the information to make better decisions — or the timing to know when to pull back. Hiring demand isn't static. There are moments when a req is ready for volume, and moments when it isn't — when recruiter capacity is maxed, the hiring manager hasn't reviewed candidates, or a strong candidate is already deep in process. Adding more applicants in those moments doesn't create progress. It creates pileup. More applicants. Same throughput. That's where spend is not optimized. The shift is moving from "always on" to process-aligned — spend that accelerates when a req can actually convert and pulls back when it can't. Not more applicants. Better timing. In healthcare at 1% operating margins, every day a critical req goes unsupported costs you in overtime, traveler spend, and unserved patient volume. And every day a stalled pipeline keeps pulling ad dollars, that's budget that should have gone to the roles actually struggling to compete. Is your team pacing spend based on process reality, or just letting it run?

Scripps Health had zero open ICU nursing reqs for the first time in Eric Cole's 12 years as CHRO. Predictive workforce modeling is how they got there. Eric came on TAITT and walked through how it works. Scripps connects census projections to cohort timing. They know when a class of MedSurg nurses will be ready to transition to ICU, and they build the recruitment program around that timeline. The req doesn't open because the need is already covered before it's urgent. The CFO piece is just as important. Eric's background is in finance, and he talks about it directly: when HR can have a conversation with the CFO in the same language, the funding dynamic changes. TA investments framed as workforce capacity planning get a different conversation than headcount requests. Eric put it this way: "Elevate the problem when it's a pebble, not a boulder." His team reviews daily retention and vacancy data. By the time a workforce problem is visible to leadership, it's already expensive. Predictive analytics is how you catch it early. Good structured data is the prerequisite underneath all of this. Predictive modeling requires data you trust. Daily retention tracking breaks down when system status fields go stale. You can't run the CHRO playbook Eric described without the foundation underneath it. Eric Cole, 12 years is a long tenure, and conversations like this one on TAITT are why. Appreciate the specifics. What do you think is the bigger unlock: the predictive modeling piece or the CFO-fluency piece?

For the last 16 years, RogueHire has been recognizing top performers in healthcare talent acquisition. Join us LIVE as we recognize and celebrate the 2026 Elite Honor Roll Award Winners—the individuals and organizations setting the standard for excellence in the industry.   What to Expect: -Live announcement of nominees and winners -Elite Honor Roll team spotlights -A chance to celebrate these outstanding performers with the entire community   Event Details: Date: Wednesday, April 29th, 2026 Time: 12:00 – 12:45 PM EST   Join us for a high-energy, 45-minute community "get together" as we recognize the best of the best. We look forward to celebrating with you!