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Record W3146136806 · doi:10.5055/ajdm.2020.0365

Vancouver Convention Health Centre (COVID-19 Response): Planning, implementation, and four lessons learned

2020· article· en· W3146136806 on OpenAlexaffabout
OMM D. Ross Brown, Peter Hennecke, Doug Nottebrock, MSc Paul Dhillon

Bibliographic record

VenueAmerican Journal of Disaster Medicine · 2020
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsUniversity of British Columbia, Okanagan CampusKelowna General HospitalSpinal Cord Injury BCVancouver Coastal Health
Fundersnot available
KeywordsStaffingConventionSurge CapacityCoronavirus disease 2019 (COVID-19)Flexibility (engineering)Medical emergencyPlan (archaeology)Health careSpace (punctuation)RecreationPandemicProtocol (science)Set (abstract data type)BusinessMedicineOperations researchEnvironmental planningComputer scienceNursingPolitical scienceGeographyEngineeringLaw

Abstract

fetched live from OpenAlex

The Vancouver Convention Health Centre (VCHC) was rapidly set up as a part of the COVID-19 response in Brit-ish Columbia in order to create surge hospital capacity bed space. Multiple field hospitals were set up across the country in preparation for a possible surge and the VCHC utilized a non-traditional health care space and overlaid it with medical infrastructure. Maximum flexibility was required in planning for multiple patient populations and a novel four-box concept to plan for the requirements of the respective possible populations was developed. Key difficulties that needed to be overcome in planning COVID-19 medical care delivery in a non-traditional space included oxygen delivery, unknown future patient populations, and staffing. A clear recommendation can also now be made that healthcare provision should be considered during the design and build of new recreational or convention facilities in all communities.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.201
GPT teacher head0.516
Teacher spread0.315 · 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 teacher head, not a consensus.

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

Citations7
Published2020
Admission routes2
Has abstractyes

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