PREPARING FOR THE GERIATRIC TSUNAMI – AN EMERGENCY DEPARTMENT PARADIGM SHIFT
Bibliographic record
Abstract
The Emergency Department has witnessed multiple paradigm shifts within a very short period of time. It is likely that the aging of the population will create the greatest shift to date. As the number of people over age 75 swells, the demands on the emergency department to have available multi-disciplinary geriatric capabilities to manage their complex non-medical problems risk overwhelming the ability of the department to manage the acutely ill and injured as is its mandate. Crowding could spiral out of control, resulting in worsening outcomes for emergency department patients. Anticipating the geriatric tsunami and preparing a health care system, both in and outside of a hospital will be critical. Creating a geriatric emergency department in isolation risks having governments designate the emergency department as the portal of entry for all community geriatric needs, which can only compromise further acute care, care already threatened by tightened budgets, increasing health care costs and insufficient community resources.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".