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Record W2988464934

Prevention of delayed referrals through the Champlain BASE eConsult service.

2017· article· en· W2988464934 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsOttawa HospitalBruyèreUniversity of Ottawa
Fundersnot available
KeywordsReferralMedicineSpecialtyFamily medicinePrimary careMedical emergencyPediatrics
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify the proportion and evaluate the content of eConsults (electronic consultations) in which the Champlain BASE (Building Access to Specialists through eConsultation) eConsult process prompted a referral to a specialist that was not originally contemplated by the primary care provider (PCP). DESIGN: Cross-sectional study of all eConsults submitted between April 15, 2011, and January 31, 2015. SETTING: Champlain Local Health Integration Network, a large health region in eastern Ontario. PARTICIPANTS: Primary care providers registered to use the Champlain BASE eConsult service. MAIN OUTCOME MEASURES: Answers from a close-out survey-completed by PCPs at the conclusion of each eConsult-stating that specialist referral was not originally contemplated but that the eConsult process had prompted referral. The logs containing the communication exchanged between the PCPs and the specialists were reviewed, and each prompted referral case was categorized by the type of question asked, if pharmaceutical advice was given, if the referral was redirected to a different specialty group, and if the referral was urgent. RESULTS: A total of 188 (3.4%) of 5601 eConsults completed during the study period were cases in which PCPs stated that they had originally not contemplated referring the patient to a specialist but that the Champlain BASE eConsult process had prompted referral. Prompted referrals were most often directed to cardiologists (10.6%), dermatologists (10.6%), infectious disease specialists (9.0%), hematologists (9.0%), and urologists (8.5%). The most common questions were about diagnosis (34.0%), drug treatment (18.0%), and management (15.0%). Pharmaceutical advice was given in 28.0% of prompted referral cases, and in 26.0% of cases, the face-to-face referral was redirected to another specialty group. In 5.0% of cases, the specialist stated the referral was urgent. The median specialist response time was 0.96 days (interquartile range 0.17 to 3.80 days). CONCLUSION: By providing PCPs with increased access to specialists, the Champlain BASE eConsult service serves an important role in identifying and preventing the potential detrimental consequences of delayed medical referrals across specialty groups.

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)0.000
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 score0.787
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.096
GPT teacher head0.286
Teacher spread0.190 · 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