US Physician Practices Versus Canadians: Spending Nearly Four Times As Much Money Interacting With Payers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Physician practices, especially the small practices with just one or two physicians that are common in the United States, incur substantial costs in time and labor interacting with multiple insurance plans about claims, coverage, and billing for patient care and prescription drugs. We surveyed physicians and administrators in the province of Ontario, Canada, about time spent interacting with payers and compared the results with a national companion survey in the United States. We estimated physician practices in Ontario spent $22,205 per physician per year interacting with Canada's single-payer agency--just 27 percent of the $82,975 per physician per year spent in the United States. US nursing staff, including medical assistants, spent 20.6 hours per physician per week interacting with health plans--nearly ten times that of their Ontario counterparts. If US physicians had administrative costs similar to those of Ontario physicians, the total savings would be approximately $27.6 billion per year. The results support the opinion shared by many US health care leaders interviewed for this study that interactions between physician practices and health plans could be performed much more efficiently.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it