We help hospitals grow margins and fund what’s next.

Labor cost, vacancies, denials, turnover, access, and discharge delay sit on separate dashboards. Each one consumes capacity the others also need.

“Our labor line is growing faster than revenue.”

Payroll leaves little room for strategy. Wage pressure and premium coverage consume the budget, while documentation keeps clinicians at their screens. Dollars meant for new programs go into covering the work you already have.

“We can’t fill the roles the work depends on.”

In NSI’s 2026 survey, hospitals took an average of 78 days to recruit an experienced RN. A third reported RN vacancy rates of 10% or higher. An unfilled role can put a service line at risk, leaving leadership to explain the loss of care to the community.

NSI Nursing Solutions · 2026 retention and staffing report

“More of the care we deliver never gets paid for.”

Kodiak Solutions’ benchmarking data from more than 2,300 hospitals put the average initial denial rate at 11.6% in 2025, up from 11.4% in 2024, and net revenue lost to denials and bad debt above $48 billion for the year. Premier’s survey of 280 hospitals and health systems found the cost of adjudicating a claim rose to $57.23 in 2023 from $43.84 the year before, and that nearly 70% of denials are eventually overturned and paid. Your team has delivered the care; now it has to defend the claim before it knows how much of the bill it will collect.

Kodiak Solutions · State of the Healthcare Revenue Cycle, 2025 data (2,300+ hospitals)Premier · claims adjudication cost survey, 280 hospitals and health systems

“The people we hire leave before they pay back.”

NSI’s 2026 report estimates an average turnover cost of $60,090 per bedside RN and annual hospital losses of $4.2 to $6.2 million from RN turnover. It found that 22.7% of newly hired RNs, including experienced nurses, left within a year. Recruiting and orientation keep drawing on the dollars that could fund a better way to work.

NSI Nursing Solutions · 2026 retention and staffing report

“Patients we’ve already earned can’t get in.”

AMN Healthcare’s 2025 Survey of Physician Appointment Wait Times, which called 1,391 physician offices across 15 major U.S. metro areas, found it now takes an average of 31 days to get a new-patient appointment, up from 26 days in 2022. Scheduling runs on phones and callbacks, referrals land on teams already at capacity, and the patient who couldn’t get through found another door, along with the physician who sent them.

AMN Healthcare · 2025 Survey of Physician Appointment Wait Times (1,391 offices, 15 metros)

“Patients ready to leave can’t, and we’re full while losing money.”

The American Hospital Association’s 2025 Cost of Caring report, using data from Strata Decision Technology, found that Medicare Advantage patients’ average length of stay before discharge to post-acute care went from 6.4% longer than Traditional Medicare patients’ in 2019 to 12.6% longer in 2024. Prior authorization and placement delays keep patients in beds after they are ready to leave, staff keep caring for them while the emergency department waits for space, and the hospital carries the cost of a bed it cannot turn.

American Hospital Association · 2025 Cost of Caring report (data: Strata Decision Technology)

One answer to all six.

The same workforce carries all six, and underneath each one is administrative work that can come out. That capacity is what growth runs on. We put a number on where, in what order, and who can deliver it, and the plan keeps pace as the numbers come in.

Why it hasn’t happened yet.

The administrative work under all six is cost you can take out. Four things keep it in.

The cost is hard to see in the P&L.

It’s spread across every department and every payroll line, and mapping it is tedious, specialized work nobody has time for. So every AI idea looks like a good idea, and the enterprise platform’s roadmap becomes the plan by default.

Every pitch comes before the analysis.

Twenty decks, all selling something, none built around a scope that came from an objective look at your operations first. So the best presentation wins, and the right fit may not be in the pile.

AI is already in use, with no standard.

Public tools reached your staff before anyone owned setting a standard, and buying a sanctioned tool didn’t stop it. Patient data leaves through personal accounts, and ‘are we safe?’ has no evidence behind it.

The tool was purchased and isn’t being used.

It was treated as a purchase, not a change in how people work. You paid for the capability and captured none of the value.

This budget cycle — or catching up in the next one.

The workforce changes that free capacity take time to put into practice. A system that starts this budget cycle can use what it learns to shape the next one. Waiting means making those decisions without that operating evidence.

Closer to care, a bad answer costs more.

Scheduling questions and clinical decisions carry different risks. The closer automation gets to patient care, the less room you have for an unclear data practice or a model no one can defend.

A vendor’s compliance certificate says the platform can be secured. It doesn’t say who inside your building can see what, or how the work actually moves between them. That has to be designed, and it takes people who’ve run it.

Patient data

Define where patient information goes and how long it stays.

Accountability

Name who answers for model behavior.

Clinical review

Put a qualified reviewer between the model and a clinical decision.

Find the room to grow.

Thirty minutes of operating context is enough to name the problem we’d go after first, and why.