An internist's role in perioperative medicine: a survey of surgeons' opinions
Bibliographic record
Abstract
BACKGROUND: Literature exists regarding the perioperative role of internists. Internists rely on this literature assuming it meets the needs of surgeons without actually knowing their perspective. We sought to understand why surgeons ask for preoperative consultations and their view on the internist's role in perioperative medicine. METHODS: Survey of surgeons in Saskatoon, Saskatchewan, Canada regarding an internist's potential role in perioperative care. RESULTS: Fifty-nine percent responded. The majority request a preoperative consultation for a difficult case (83%) or specific problem (81%). While almost half feel that a preoperative consultation is to "clear" a patient for surgery, 33% disagree with this statement. The majority believe the internist should discuss risk with the patient. Aspects of the preoperative consultation deemed most important are cardiac medication optimization (93%), cardiac risk stratification (83%), addition of beta-blockers (76%), and diabetes management (74%). CONCLUSION: Surgeons perceive the most important roles for the internist as cardiac risk stratification and medication management. Areas of controversy identified amongst the surgeons included who should inform the patient of their operative risk, and whether the internist should follow the patient daily postoperatively. Unclear expectations have the potential to impact on patient safety and informed consent unless acknowledged and acted on by all. We recommend that internists performing perioperative consults communicate directly with the consulting physician to ensure that all parties are in accordance as to each others duties. We also recommend that the teaching of perioperative consults emphasizes the interdisciplinary communication needed to ensure that patient needs are not neglected when one specialty assumes the other will perform a function.
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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 | 0.002 | 0.007 |
| 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) | 0.000 | 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".