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Record W4399142947 · doi:10.1016/j.cjco.2024.05.011

Impact of a Mobile, Cloud-Based Care-Coordination Platform on Door-to-Balloon Time in Patients With STEMI: Initial Results

2024· article· en· W4399142947 on OpenAlexaff
Ahmed Aldajani, Omar Chaabo, François Brouillette, Khalil Anchouche, Y. Lachance, Elie A. Akl, Sonny Dandona, Giuseppe Martucci, Jean-Philippe Pelletier, Nicolò Piazza, Jeremy Y. Levett, Tomer Moran, Marco Spaziano

Bibliographic record

VenueCJC Open · 2024
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsOuranosUniversité de MontréalMcGill University Health Centre
Fundersnot available
KeywordsCloud computingDoor-to-balloonBalloonComputer scienceMedicineInternal medicineOperating systemConventional PCI

Abstract

fetched live from OpenAlex

Care-coordination platforms may optimize ST-elevation myocardial infarction (STEMI) treatment delays. This study aimed to assess the impact of Stenoa use on treatment delays in STEMI patients. We conducted a retrospective cohort study on local STEMI cases for the period between September 2020 and March 2023, comparing the times from first medical contact to device, before vs after the implementation of the Stenoa platform by the catheterization laboratory (cath-lab) and emergency department. A total of 180 patients were included. Significant reductions were found in times from first medical contact to electrocardiogram, from electrocardiogram to cath-lab activation, and from cath-lab activation to cath-lab arrival ( P = 0.02, P = 0.04, and P = 0.02, respectively), after the platform was implemented. These findings suggest that use of Stenoa reduces STEMI door-to-balloon–time components.

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)0.000
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 score0.500
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.376
Teacher spread0.352 · 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.

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

Citations5
Published2024
Admission routes1
Has abstractyes

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