MétaCan
Menu
Back to cohort
Record W1975606933 · doi:10.1108/13660750010304202

Development and evaluation of a common intake process for geriatric medicine and psychiatry services

2000· article· en· W1975606933 on OpenAlex
Nancy Fenton, Leila Augustin, Carole Redden, Christopher Patterson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLeadership in Health Services · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsTriageReferralService (business)MedicineProcess (computing)PsychiatryMedical emergencyFamily medicineComputer scienceBusiness

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.152
GPT teacher head0.355
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it