Development and evaluation of a common intake process for geriatric medicine and psychiatry services
Bibliographic record
Abstract
In providing specialized care for older individuals the skills of many disciplines are often needed to provide the most effective care. At the time of referral, it is not always clear which patients are best served by a medical approach and which ones require psychiatric input. When patients are referred to the less appropriate service, diagnosis and treatment may be delayed to the detriment of the patient. A wide spectrum of specialized services for the elderly is offered at the Hamilton Health Sciences Corporation, a four‐site teaching hospital in Ontario. The authors describe the development of a common intake process which provides rapid triage to the most appropriate services, and facilitates a combined medical and psychiatric approach where indicated. The end result is a single entry point for referrals, more efficient triage and a net reduction in the number of staff needed to accept and process referrals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.105 | 0.151 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".