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Record W2091284550 · doi:10.1016/j.hcmf.2014.01.002

The Effect of Late Adoption of Canadian Innovations: A Case for Implantable Cardiac Monitors

2014· review· en· W2091284550 on OpenAlexaffabout
Hamid Sadri, Pamela J. T. Winsor

Bibliographic record

VenueHealthcare Management Forum · 2014
Typereview
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsMedtronic (Canada)
Fundersnot available
KeywordsSyncope (phonology)MedicineIntensive care medicineDiagnostic testHealth careAdverse effectQuality of life (healthcare)Sudden cardiac deathMedical emergencyEmergency medicineCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Syncope is a sudden and generally momentary loss of consciousness, which can have serious adverse events. The outcomes of the syncope episode can vary from a fall to fatal accidents. Syncope has a major negative effect on the patient's health-related quality of life. The economic burden of syncope on healthcare systems is considerable. There are no clear diagnostic pathways for identifying the cause of syncope; patients can be admitted to hospital and undergo expensive and often repeated and inconclusive diagnostic tests. Implantable cardiac monitors have been available for more than a decade to help early diagnosis of syncope in unexplained cases. However, despite being a Canadian invention, the use of the implantable cardiac monitors has been suboptimal in the Canadian healthcare system. This study provides an overview of syncope, its management, and presents the estimated potential cost savings per diagnosis of systematic use of implantable cardiac monitors in Ontario.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.451
Threshold uncertainty score0.908

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.006
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.320
Teacher spread0.299 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2014
Admission routes2
Has abstractyes

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