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Pulse oximetry knowledge and its effects on clinical practice

2007· review· en· W2145189181 on OpenAlex

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.

Bibliographic record

VenueBritish Journal of Nursing · 2007
Typereview
Languageen
FieldEngineering
TopicNon-Invasive Vital Sign Monitoring
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsPulse oximetryMedicineClinical PracticeIdentification (biology)Medical educationNursing

Abstract

fetched live from OpenAlex

AIM: to explore literature pertaining to registered nurses' and/or doctors' knowledge in relation to the pulse oximetry in clinical practice. BACKGROUND: pulse oximeters provide non-invasive readings of both pulse rate and peripheral oxygen saturation, leading to quick identification of potential/actual problems. Because of this, clinicians, like nurses, may become too dependent on it, neglecting other aspects of the holistic assessment process. METHODS: a literature search was carried out between 1980 and 2006, with much of the data skewed towards 1994-2006. As the central focus was to be on pulse oximetry knowledge of nurses and/or doctors, articles included had to contain a central theme addressing this. Other criteria for inclusion were links between pulse oximetry and knowledge in clinical practice, nurses and/or doctors as participants in studies addressing this, as well as the clinical competency in relation to the device. CONCLUSION: improving knowledge may not necessarily be the answer in improving clinical competency. Future research will need to be carried out to measure the connection between knowledge and competency and to use that as a basis for education and training.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.088
GPT teacher head0.428
Teacher spread0.340 · 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