The vector of integration of medical nurses-bachelors in practical health care
Bibliographic record
Abstract
The article discusses the experience of Israel, Canada, the USA and the European countries in training nurses with higher nursing education. The considerations concerning the need to change previously established standards of professionalization of graduates with higher nursing education in health care reform are analyzed. The purpose of the study is to consider a possibility of organizing a model of partnership relationship between physician and medical nurse with higher nursing education in conditions of the reform of health care system in The Russian Federation. The study was organized in two stages. At the first stage, the results of the study carried out by The Research Institute of Health Care Organization and Medical Management of the Moscow Health Care Department were analyzed. It was established that in the conditions of modern Russian health care, there is no distinct understanding among physicians how the relationship between physicians and medical nurses should be built. At the second stage, the sociological survey was carried out based on specially developed original questionnaire covering 150 physicians in Moscow medical organizations in 2019. The survey demonstrated that physicians reconsidered the role of medical nurse and would like to expand competencies of medical nurses. However, this requires to revise the legal base to allow medical nurse with higher nursing education to fill the position "The academic medical nurse - organizer of treatment process". The results of the study demonstrated that in medical organization the majority of physicians see in the new educational training of medical nurses a prospective area of implementing the model "The organizer of treatment process - certified medical nurse with higher nursing education". The results of study will facilitate transition of the medical nurse business to the new professional level that will permit to improve the specialty over whole career.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".