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Record W2330474685 · doi:10.1080/312703004349

A<scp>N</scp>E<scp>MERGENCY</scp>M<scp>EDICAL</scp>S<scp>ERVICES</scp>T<scp>RANSFER</scp>A<scp>UTHORIZATION</scp>C<scp>ENTER</scp>IN R<scp>ESPONSE</scp>TO THE T<scp>ORONTO</scp>S<scp>EVERE</scp>A<scp>CUTE</scp>R<scp>ESPIRATORY</scp>S<scp>YNDROME</scp>O<scp>UTBREAK</scp>

2004· article· en· W2330474685 on OpenAlexafffundabout
Russell D. MacDonald, Bruce Farr, Michael Neill, John Loch, Bruce Sawadsky, Chris Mazza, Karim Daya, Chris Olynyk, Sandra J. Chad

Bibliographic record

VenuePrehospital Emergency Care · 2004
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsHealth Sciences CentreAssociated Medical ServicesWomen's College HospitalUniversity of TorontoSunnybrook Health Science Centre
FundersOntario Ministry of Health and Long-Term Care
KeywordsMedicineHealth careMedical emergency

Abstract

fetched live from OpenAlex

AbstractObjective. To describe the rapid development and implementation of an innovative emergency medical services (EMS) command, control, and tracking system to mitigate the risk of iatrogenic spread of severe acute respiratory syndrome (SARS) among health care facilities, health care workers, and patients in Ontario, Canada, as a result of interfacility patient transfers. Methods. A working group of stakeholders in health care and transport medicine developed and implemented a medically based command, control, and tracking center for all interfacility (including acute and long-term care) patient transfers in Ontario, Canada. Development and implementation took place in three distinct but overlapping phases: needs assessment, design and implementation, and expansion and ongoing operations. Results. The needs assessment, design, and implementation were completed in less than 48 hours using existing EMS infrastructure and personnel. The center was successfully handling more than 500 requests for interfacility patient transfer per day within 36 hours of operation and more than 1,100 requests per day within two weeks. Expansion into a new physical space enables 40 staff to process up to 1,500 requests per day. There was no reported spread of SARS resulting from interfacility patient transfers since the center began operation on April 1, 2003, and anecdotal evidence demonstrates it identified up to 13 new SARS cases. The center continues to operate as a part of Ontario's commitment as a result of diligence in transport medicine and infection control, even though no new cases of SARS were reported since June 12, 2003. Further study is needed to determine its overall efficacy at risk mitigation. Conclusions. Rapid establishment of an EMS-based command, control, and tracking center is possible in the setting of a public health emergency. In addition to risk mitigation, this type of center could provide syndromic surveillance in real time and provide the earliest indication of a potential threat to public health in acute and long-term care facilities.KeywordsSARSemergency medical servicescommunication systemsrisk managementiatrogenic disease

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 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)0.019
metaresearch head score (Gemma)0.207
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.207
Meta-epidemiology (narrow)0.0330.034
Meta-epidemiology (broad)0.0290.021
Bibliometrics0.0170.039
Science and technology studies0.0180.010
Scholarly communication0.0070.017
Open science0.0330.018
Research integrity0.0210.032
Insufficient payload (model declined to judge)0.0010.019

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 head0.013
GPT teacher head0.262
Teacher spread0.249 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2004
Admission routes3
Has abstractyes

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