Improving Access to Gastroenterologist Using eConsultation: A Way to Potentially Shorten Wait Times
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.
Bibliographic record
Abstract
BACKGROUND: Wait times for gastroenterologists in Canada continue to exceed recommended targets. Electronic consultation (eConsult) may reduce the need for face-to-face gastroenterologist visits. OBJECTIVE: The goal of this study was to identify the cases submitted to gastroenterologists though the Champlain BASE™ (Building Access to Specialists through eConsultation) eConsult service and explore their impact on primary care physicians' (PCPs) courses of action. METHODS: Gastroenterology cases submitted between June 2013 and January 2015 were categorized using a modification of the International Classification for Primary Care (ICPC-2) taxonomy. Question type (e.g., diagnosis or management) was classified using a validated taxonomy. RESULTS: Of the 121 gastroenterology consults reviewed, 33% were related to hepatology, 23% to GI symptoms, and 13% to specific luminal diseases. Among hepatology eConsults (n=40), 47% pertained to abnormal liver function testing. Overall, 51% of eConsults were related to diagnosis, 30% to management, 9% to drug treatments and 7% to procedures. PCPs received a reply within a median of 2.9 days. Only 25% of cases resulted in a face-to-face referral. CONCLUSIONS: The eConsult service provided timely, highly regarded advice from gastroenterologists directly to PCPs and often eliminated the need for a face-to-face consultation. An evaluation of the most commonly-posed questions could inform future continuing medical education activities for PCPs.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it