Why your workforce management systems know more about your patient outcomes — and your margin — than your dashboards.
Everybody Owns the Number, Nobody Owns the Number
Ask four leaders in the same health system what an hour of nursing care costs. Finance will quote a blended rate off the ledger. HR will quote the wage scale. The unit director will quote what they actually paid last Tuesday to keep the floor safe. Scheduling quotes the grid. All four are working from real data, and none of them are describing the same thing. Nobody owns the number, so nobody can be wrong about it, and nobody is accountable for it.
That is a governance gap, not a reporting gap, and it is expensive. Labor is nearly 60% of the average hospital’s expenses, after costs rose more than $42.5 billion between 2021 and 2023 to a total of $839 billion (AHA, 2024). It is the largest cost you carry and the strongest determinant of the clinical quality you are paid on, and it is the least instrumented function in the building. Your revenue cycle is measured hourly. Your workforce is measured monthly, in arrears, by exception.
The frustrating part is that you already own the data required to fix it. It sits in your time and attendance system, your scheduling platform, your payroll register, your ADT feed, and your HRIS. You are paying to maintain it. You are simply not reading it together.
Outcomes Are Not the Soft Part of the Business Case They Are the Business Case
Executives are trained to treat quality and cost as a trade-off. In workforce strategy that instinct is inverted: outcomes and economics are the same variable measured twice. Linda Aiken’s landmark JAMA study found each additional patient added to a nurse’s workload raised the odds of a patient dying within 30 days by 7%. A 2021 BMJ Open analysis of Illinois hospitals put it at 16% and calculated that staffing at 4:1 would have avoided more than 1,595 deaths and saved over $117 million.
Read that second clause again: The safer staffing model was also the cheaper one. Deaths avoided are complications avoided, complications avoided are days avoided, and days avoided are beds returned to productive use. An inpatient day costs roughly $3,025, and Kaufman Hall estimates that for a 425-bed hospital, one day off average length of stay is worth about $20 million in margin — against $2 million-$3 million dollars per bed to build that capacity instead.
CMS scores this directly. Readmissions penalties reach 3% of Medicare base payments and hit roughly 79% of eligible hospitals in FY2025; the Hospital-Acquired Condition program takes another 1% from the worst quartile; Value-Based Purchasing withholds 2%. Gallup’s 2024 meta-analysis found top-quartile engagement units recorded 58% fewer patient safety incidents. Engagement is not a morale program. It is a safety control and a payment variable.
Where the Margin Actually Leaks
Premium labor is the clearest illustration, because it is the one place the true cost of an hour has already been proven wildly different from the assumed cost. In January 2022, travel nurses were 23.4% of total nurse hours but nearly 40% of total nurse labor expenses. Here is a blunt assessment: Agency help costing two to three times a regular, full-time employee is tipping the scales of financial viability. The market has cooled. The read on the recovery has not: the healthcare workforce is not back.
The second leak is quieter and larger. NSI’s 2026 retention report puts replacing one bedside RN at $60,090 and each point of RN turnover at $295,000 a year — $5.19 million annually for the average hospital. Move that rate three points, and you have found $885,000 without hiring an additional FTE, buying a system, or asking anyone to work harder. Multiply by your facility count, and it stops being a rounding error and starts being a capital plan.
Figure 1. The premium labor gap: what contract hours actually cost
Source: AHA hospital expense analysis, January 2022 data
Figure 2. The turnover ladder: what one percentage point is worth
Source : NSI, 2026 national averages; multi-site figures are illustrative
Transparency Is a Discipline, Not a Dashboard
Most health systems do not have a data shortage. They have a definitions shortage. Productive hours are calculated one way in the scheduling system and another in the productivity report. Worked hours per patient day means something different in the ICU, on a medical-surgical floor, and at the hospital you acquired three years ago. Incentive shifts are approved individually and aggregated nowhere.
There is a simple diagnostic. Ask your team three questions and time the answers. What did an incremental hour of care cost us on 4 West last month, fully loaded? Which units are consistently scheduled above and below their own demand pattern, and by how much? Who approves premium pay, and does anyone review it before it hits the ledger? If the answers take more than a week, or arrive with a caveat about which system is right, you do not have a workforce management problem. You have a visibility problem, and every decision downstream of it is being made blind.
Figure 3. The workforce data maturity curve: most health systems sit between stages one and two
The Economies of Scale You Paid for and Never Collected
Multi-site systems are the sharpest version of this. Scale was the thesis behind consolidation, yet most systems have it on the organization chart and almost none of it in operation. Nurses cannot move between sister facilities because credentialing, orientation, and scheduling rules were never harmonized. Each hospital negotiates its own agency rates. Productivity is benchmarked against external medians rather than the best-performing unit inside your own system. Economies of scale in labor are not a byproduct of ownership; they are a product of standardization, and standardization is impossible without a shared definition of the number. Post-acute and senior living operators face the identical problem on thinner margins and, with federal minimum staffing standards repealed effective February 2026, far less regulatory cover for getting it wrong.
The Risks Compound, and Only Adoption Closes Them
What standing still costs: five risks that compound while nobody owns the number:
Figure 4. Risks that compound
Sources: AHA (2022); NSI Nursing Solutions (2026); CMS HRRP,
HAC Reduction and Value-Based Purchasing; KFF hospital cost-per-day data.
Driving Change to Realize the Value
You have probably heard that 70% of change programs fail. That figure does not survive scrutiny; a peer-reviewed review in the Journal of Change Management found no valid empirical evidence behind it. It persists because every executive recognizes the pattern it describes. The assessment lands, the model is elegant, the savings are real on paper, and 18 months later the schedule looks exactly as it did before, because nobody changed what a charge nurse does at 4 p.m. on a Thursday.
Workforce change is the hardest change in healthcare because it touches the two things people defend most fiercely: their schedule and their paycheck. It cannot be delivered by memo. It needs managers who can explain the new model, staff consulted before the design is finished, a governance forum with authority to hold the standard, and benefit tracking that follows the dollars into the ledger.
Our research shows the leverage is not in the wage scale. Ankura’s annual labor survey finds only 33% of employees believe management communicates effectively. The top three things employees ask for are not pay. They are: shift schedule improvement, better communication, and control over overtime. Employees working a schedule they love will not leave for an additional dollar an hour. That is a cheaper retention strategy than the one you are running, and it is invisible unless somebody is reading the scheduling data.
Why This Needs an Independent Third Party
Internal teams can build reports. What they cannot easily do is tell a chief nursing officer their flagship unit is overstaffed on Tuesdays, tell a CFO the productivity standard they approved measures the wrong thing, and say both in the same room without a career consequence. That neutrality is the product — along with the comparison set, and the willingness to test assumptions that have been load-bearing so long nobody remembers they were assumptions.
Ankura runs this as a sequence, not a single report. A Labor Strategy Workshop is a half-day session that uncovers hidden costs and puts a quantified opportunity range on the table. An Operations and Labor Strategy Review takes those hypotheses into your data. An Employee Engagement Survey establishes what your workforce will and will not accept. Change Management and Implementation puts the design into practice with the workforce rather than at it, and Labor Forecasting and Profitability Monitoring makes the standard repeatable so the savings do not decay.
Start With a Conversation, Not a Project
You do not need to commit to a transformation to find out whether you have one. Start with an executive briefing: a no-cost, 90-minute session with your leadership team in which we walk your own workforce data against national benchmarks and answer those three diagnostic questions out loud. If the numbers come back clean, you will have confirmed that one of your largest cost centers is under control. If they do not, you will leave with a quantified range and a defensible place to start.
The data is already yours. The only question is whether anyone is using it.
Reach out to Christine Ishak to schedule time.
Sources
AHA, Costs of Caring (2024) and Hospital Expenses Report (April 2022); Aiken et al., JAMA (2002); Lasater et al., BMJ Open (2021); NSI Nursing Solutions, National Health Care Retention & RN Staffing Report (2026); Gallup Q12 Meta-Analysis, 11th ed. (2024); KFF hospital cost-per-day data; Kaufman Hall length-of-stay analysis; CMS HRRP, HAC Reduction and Value-Based Purchasing documentation; HHS announcement on nursing home minimum staffing standards (2025); Hughes, Journal of Change Management (2011); Ankura Labor Strategy practice materials and published commentary by John Frehse.
© Copyright 2026. The views expressed herein are those of the author(s) and not necessarily the views of Ankura Consulting Group, LLC, its management, its subsidiaries, its affiliates, or its other professionals. Ankura is not a law firm and cannot provide legal advice.
