Prevention of delayed referrals through the Champlain BASE eConsult service.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".