Understanding emergency medicine physician leadership within the Saskatchewan Health Authority
Bibliographic record
Abstract
This thesis explores the qualities that support Emergency Medicine (EM) physicians’ leadership work and how the Saskatchewan Health Authority (SHA) may better support, learn from, and leverage their knowledge and skills. EM physicians in Saskatchewan who also held physician leadership roles within the SHA or the College of Medicine were randomly selected to participate in semi-structured interviews and focus groups conducted by the principal investigator. The themes explored included EM physicians’ clinical experiences and how these affected their physician leadership roles. EM physician leaders were asked about their leadership journeys, their experiences of leadership support or mentorship, any overlap they might identify between ER physicians’ clinical skills and leadership roles, and shift work and remuneration. Based on the study findings and conclusions, the research recommends that the SHA (a) should recruit EM physicians for leadership positions to bring EM insights and decision-making abilities into a variety of healthcare administrative roles, (b) leverage the knowledge EM physicians have gained from broad clinical exposure to the health care system, (c) consider a fair remuneration package for EM physicians when they enter a physician leadership role, and (d) establish mentorship for new EM physician leaders.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.008 | 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".