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Record W1974728051 · doi:10.2106/jbjs.h.01592

The Use of Hospital Registries in Orthopaedic Surgery

2009· article· en· W1974728051 on OpenAlexaff
Henry Ahn, Charles M. Court-Brown, Margaret M. McQueen, Emil H. Schemitsch

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2009
Typearticle
Languageen
FieldMedicine
TopicShoulder and Clavicle Injuries
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsMedicinePatient registryMedical emergencyQuality (philosophy)Pediatrics

Abstract

fetched live from OpenAlex

A hospital registry is a collection of prospectively recorded information about patients who have a specific condition or who received a specific type of treatment. Hospital registries are beneficial for the patient, physicians, and administrators and serve several purposes, with the primary purpose being quality control. This article focuses on the role of registries at the hospital level and their advantages compared with other data sets. We also discuss how to implement a hospital registry and how to ascertain registry quality. Finally, we describe the problems inherent in any hospital-based registry and the ways in which the data collected in a registry can be appropriately analyzed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.106
metaresearch head score (Gemma)0.217
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.106
Threshold uncertainty score0.560

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1060.217
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0070.012
Science and technology studies0.0010.002
Scholarly communication0.0050.007
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.045
GPT teacher head0.301
Teacher spread0.256 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations37
Published2009
Admission routes1
Has abstractyes

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Same venueJournal of Bone and Joint SurgerySame topicShoulder and Clavicle InjuriesFrench-language works237,207