Medicare Physician Payments: Medicare and Private Payment Differences for Anesthesia Services
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "In 2005 Medicare paid over $1.4 billion for anesthesia services. These services are generally provided by anesthesia practitioners, such as anesthesiologists and certified registered nurse anesthetists (CRNAs). A government-sponsored study found that Medicare payments for anesthesia services are lower than private payments. Congress is concerned that this difference may create regional discrepancies in the supply of anesthesia practitioners, and asked GAO to explore this issue. GAO examined (1) the extent to which Medicare payments for anesthesia services were lower than private payments across Medicare payment localities in 2004, (2) whether the supply of anesthesia practitioners across Medicare payment localities in 2004 was related to the differences between Medicare and private payments for anesthesia services or the concentration of Medicare beneficiaries, and (3) compensation levels for anesthesia practitioners in 2005 and trends in graduate training. GAO used claims data from two anesthesia service billing companies that bill private insurance payers and Medicare to calculate payments by payer for seven anesthesia services in 41 Medicare payment localities. GAO also used data from the Centers for Medicare & Medicaid Services (CMS) and other sources to determine practitioner supply and Medicare beneficiary concentration in 87 Medicare payment localities."
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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 | 0.004 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".