Medicare Two-Midnight Rule Accelerated Shift To Observation Stays
Bibliographic record
Abstract
During the past two decades several policies have attempted to replace inappropriate hospital inpatient stays with observation hospital stays, where patients receive hospital care but are classified as outpatients. The Two-Midnight rule, adopted in October 2013 by the Centers for Medicare and Medicaid Services, states that more highly reimbursed inpatient payment is appropriate if care is expected to last at least two midnights; otherwise, observation stays should be used. For hospitals, the administrative burden associated with making these status determinations is substantial. We found that after the Two-Midnight rule was implemented, potentially inappropriate short inpatient stays decreased immediately by 2.0 stays per 1,000 beneficiaries and potentially more appropriate short outpatient stays increased immediately by 1.8 stays per 1,000 beneficiaries, hastening a preexisting trend in this direction. However, after this initial improvement, the rate of change slowed to a new steady state. Given the steady state and ongoing administrative resources needed, it is time to reconsider the value of status determination required by the Two-Midnight rule.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".