Position Statement: Use of non-registered nurses as health care providers in the emergency department
Bibliographic record
Abstract
Nationally, emergency departments have begun to implement alternative staffing options to include the use of non-RN health care providers.Non-RN health care providers may include: licensed practical nurses (LPNs), nursing assistants, emergency department technicians, emergency medical technicians (EMTs), and paramedics.The inclusion of non-RN health care providers within the staffing mix of an emergency department does not promote comprehensive emergency care.There is evidence which supports that a higher ratio of RN staffing is directly related to improved patient outcomes, lower mortality rates, and reduced costs.The impact of the use of non-RN personnel within emergency departments can influence the quality of care, patients' perceptions of satisfaction with care, pain management, preventable complications, patient education, and length of stay.Since research does not exist identifying reliable staffing ratios or staffing formulas which would ensure optimal quality of care, the promotion of alternative staffing options could therefore negatively impact patients in the emergency department.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".