Physician Assistants as Hospitalists In Canada: A Literature Review : PA Hospitalists
Bibliographic record
Abstract
Physician Assistants (PAs) are currently working as hospitalists in Canada, and there is an increasing demand to create more PA hospitalist positions.There is currently little research available on Canadian PAs and even fewer research on PAs working as hospitalists worldwide.There are various stressors on the Canadian healthcare system, such as fiscally limited resources due to a publicly funded model as well as physician burnout.A possible solution may be the implementation of hospitalist PAs.Articles examined for this literature review were identified using a PubMed search of the term "physician assistant hospitalist," through manually searching journals, and an examination of references from relevant papers.Inclusion criteria for articles in this review were as follows: primary research, those written in English, focused on PAs, as hospitalists in an inpatient setting.The PubMed search resulted in a total of 114 articles, of which five were relevant, and four articles through references and manual exploration of journals for a total of nine articles.There are several limitations to this review that include generally limited data on PAs, even further limited on PAs in Canada and therefore no Canadian studies that examined PA hospitalists.Additionally, none of the performed were randomized control trials, and all were retrospective chart reviews.PAs stakeholders in the Canadian healthcare system including the economist, physician and patient.They provide accountability through a cost-effective, resource efficient means.Physicians can be pleased by PAs providing safe, high-quality patient care.These elements contribute positively to fostering the integral trusting relationship between physician and PA.Finally, patients are satisfied with their care by PAs.Based on the data review, PAs are economically efficient, patients are satisfied with care and PAs to provide quality, safe patient care, which allows for a trusting relationship between PA and physician.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".