Contrary To Popular Belief, Medicaid Hospital Admissions Are Often Profitable Because Of Additional Medicare Payments
Bibliographic record
Abstract
It is generally believed that most hospitals lose money on Medicaid admissions. The data suggest otherwise. Medicaid admissions are often profitable for hospitals because of payments from both the Medicaid program and the Medicare program, including payments for uncompensated care and from the Medicare disproportionate-share hospital program. On average, adding a single Medicaid patient day in fiscal year 2017 will increase most hospitals' Medicare payments by more than $300. When added to Medicaid payments, these payments often cause Medicaid patients to be profitable for hospitals. In contrast, adding a single charity care day in the same year will decrease overall Medicare payments by about $20 on average. The Centers for Medicare and Medicaid Services recently announced a proposal to shift some Medicare payments from supporting hospitals' costs for Medicaid patients to directly supporting their costs for uncompensated care. If that proposal is adopted, hospitals' profits on Medicaid patients would decrease, but their losses on care for the uninsured would be reduced.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".