Exploring the business of urology: Is it time for a “Business of Healthcare” curriculum in urology residency programs?
Bibliographic record
Abstract
rology is a relatively small surgical specialty filled with innovative and forward-thinking physicians. Decade after decade, through early adoption of new technologies, urologists have been at the cutting edge of advances in medical and surgical care. Urologists are generally very well-prepared for the rapidly evolving improvements medical and surgical technology. But are graduating urologists prepared for the business side of their practices and careers? After completion of postgraduate training and upon entry into the workforce, are most urologists prepared for the multiple roles and demands that will be placed upon them in today's dynamic healthcare environment? Does residency provide adequate education and evalution of basic business topics and principles that are critical to achieving high performance in one's job as a urologist? Do we adequately train urologists to manage all aspects of the operations of their own practice, including the negotiation and legal execution of employment agreements and contracts? Are urologists adequately prepared to navigate the Canadian and U.S. healthcare landscapes and trends in the delivery of care? Unfortunately, the answer to these questions for most young urologists is, "No."
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.
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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".