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Record W2159201391 · doi:10.1177/1054773803258998

Patient and Nurse-Related Implications of Remote Cardiac Telemetry

2003· article· en· W2159201391 on OpenAlex
Fae Billinghurst, Beverley Morgan, Heather M. Arthur

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueClinical Nursing Research · 2003
Typearticle
Languageen
FieldEngineering
TopicDigital Transformation in Industry
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsTelemetryNursingMedicineMedical emergencyPsychologyComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

The purposes of this study were (a) to determine the frequency of rhythm disturbance events among patients on remote cardiac telemetry, (b) to identify how many of these events were detected by the telemetry nurses, and (c) to explore the impact of managing telemetry on nurses' workload This prospective observational study took place in a nine-bed Coronary Respiratory Care Unit (CRCU) in a tertiary Canadian University Hospital. No lethal arrhythmias were detected during 420 hours of observation. There were a high number of remote telemetry warning arrhythmias, the vast majority of which were artifact (80.2%). A warning alarm occurred every 2.1 to 6.2 minutes. Nurses detected between 60% to 100% of valid warning alarms. Remote cardiac telemetry without a dedicated monitor-watcher places unnecessary demand on CRCU nurses' time because the vast majority of arrhythmia alarms are inconsequential. The addition of monitoring remote telemetry to the CRCU nurse's workload has the potential to negatively influence the care provided to CRCU patients.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.950
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.077
GPT teacher head0.421
Teacher spread0.344 · 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