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Successful Incorporation of the Severe Head Injury Guidelines into a Phased-Outcome Clinical Pathway

2001· article· en· W2329064867 on OpenAlex
Laura Mcilvoy, David A. Spain, George H. Raque, Todd W. Vitaz, Phillip W. Boaz, Kimberly Meyer

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

VenueJournal of Neuroscience Nursing · 2001
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsMedicineCare pathwayIntensive care unitTraumatic brain injuryHead traumaClinical pathwayCritical pathwaysHead injuryIntensive care medicineGuidelineEmergency medicineSurgeryHealth careNursing

Abstract

fetched live from OpenAlex

Clinical pathways have been proven to be valuable tools in improving outcomes in patients with neurological diagnoses. However, their use with trauma populations has been limited. The unpredictable nature of trauma makes it difficult to develop a day-by-day plan of care that would be applicable to all patients with the same trauma diagnosis. Nevertheless, a severe traumatic brain injury (TBI) clinical pathway was developed and implemented at a Level 1 Trauma Center with significant reductions in length of stay and number of ventilator days. With the publication of the Guidelines for the Management of Severe Head Injury, this pathway was refashioned into a severe TBI phased-outcome pathway. Rather than a day-by-day plan of care, this clinical pathway consists of four phases of care: (a) admission to the intensive care unit, (b) acute critical care, (c) mobility and weaning, and (d) pre-rehabilitation. After 12 months, the improvements accomplished by the original pathway have been maintained or exceeded.

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)0.004
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.446
GPT teacher head0.587
Teacher spread0.141 · 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