Add payer mix and reimbursement by service
When it may fit: Market share is being used to judge value.
Evidence needed: Revenue and payer detail by service line.
Trade-off: Payer data takes effort and has to be handled carefully.
Hospital Intelligence Brief
What Public Hospital Data Cannot Tell You About Profitability
Public discharge data is invaluable for understanding where patients go. It tells you nothing about whether the hospital made money caring for them.
1. The business problem
Why does a share gain not tell you whether the hospital is better off?
A growing share is easy to celebrate and a shrinking one is easy to fear. But discharge counts do not include what the care paid, what it cost, or what was left. A hospital can gain share by serving more of the least profitable patients, or lose share by shedding them.
This matters because conclusions about profitability drawn from volume data are not just uncertain. They can be backwards.
2. What the evidence can reveal
The line between what discharge data shows and what it does not is worth stating plainly:
| It can show | It cannot show |
|---|---|
| Where patients were treated and in which service | What the hospital was paid for the care |
| Volume and share, and how they change | What the care cost to deliver |
| Which hospitals gain or lose | Contribution margin or profit |
| Where residents go for care | Why a patient chose a hospital |
| Patient characteristics, in de-identified form | Whether the volume is worth pursuing |
Verified fact In public datasets such as New York’s SPARCS, charges may be reported, but charges are list prices and are not the same as reimbursement or cost. Using them to infer profitability is unreliable.
3. Investigate the problem
In the synthetic market, our share fell from 27.7% to 26.4%. Illustrative Reading that as “we are doing worse” assumes volume equals value. The dataset cannot support that.
Calculated Consider a case where we lost share in a category. The loss may have been low-reimbursement patients moving to a competitor, which would improve margin. Or it may have been high-reimbursement patients, which would hurt. The discharge count is identical in both cases. The financial outcome is opposite.
Information gap This is why the experience’s Ask APIS panel declines to say anything about profit, and says what is missing instead: payer mix, reimbursement, cost and contribution. A market analysis becomes decision-grade only when those are added from the hospital’s own data.
4. Explore the interactive experience
Investigate it yourself.
Hospital Market Explorer: a market dashboard comparing a five-hospital market by service category, an outmigration capture scenario, evidence-linked answers from APIS, and a sample brief, all on synthetic data.
The experience below uses a synthetic five-hospital market built to look like public discharge data. It is not New York data, or data for any real market, and every figure is illustrative. The counts are discharges, not dollars.
- Ask APIS “What can this data not tell us about profitability?” and read what it lists as missing.
- Ask it about revenue or margin directly. Notice that it declines rather than guesses.
- Open the brief and find where it states what the data cannot establish.
5. Evaluate possible solutions
Once the limits are clear, the practical question is how to close them.
6. What leadership should do next
Questions to answer
- Are we inferring profit from volume anywhere?
- What does this category pay and cost?
- Would the conclusion flip with financial data?
- Which reports need a caveat?
Data to gather
- Payer mix and reimbursement by service
- Cost and contribution by service
- A shared service-category map
- Quality and access measures
Steps to take
- Audit where volume is used as a proxy for value.
- Attach financial data to the market view.
- Add caveats to all volume reports.
- Review decisions made on volume alone.
7. Engage Two Pillars
Explore Your Hospital’s Opportunities
Two Pillars can help hospital leadership investigate market, financial, operational, and strategic questions using relevant organizational data, public information, and a structured assessment process. A good first step is a review of where market volume data is being used to judge profitability, and a plan to add the financial evidence that is missing.
Sources and data notes
- The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
- New York State Department of Health, SPARCS: www.health.ny.gov/statistics/sparcs/ — information on the Statewide Planning and Research Cooperative System and its public-use data files.
- CMS, Cost Reports: www.cms.gov/data-research/statistics-trends-and-reports/cost-reports — public information on the annual cost reports that Medicare-participating hospitals file.
- Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.