Benefits of implementing a rapid access clinic in a high-volume inflammatory bowel disease center: Access, resource utilization and outcomes
Bibliographic record
Abstract
BACKGROUND: Emergency situations in inflammatory bowel diseases (IBD) put significant burden on both the patient and the healthcare system. AIM: To prospectively measure Quality-of-Care indicators and resource utilization after the implementation of the new rapid access clinic service (RAC) at a tertiary IBD center. METHODS: Patient access, resource utilization and outcome parameters were collected from consecutive patients contacting the RAC between July 2017 and March 2019 in this observational study. For comparing resource utilization and healthcare costs, emergency department (ED) visits of IBD patients with no access to RAC services were evaluated between January 2018 and January 2019. Time to appointment, diagnostic methods, change in medical therapy, unplanned ED visits, hospitalizations and surgical admissions were calculated and compared. RESULTS: $1885 CAD comparing all RAC and ED visits. CONCLUSION: Implementation of a RAC improved patient care by facilitating easier access to IBD specific medical care, optimized resource utilization and helped avoiding ED visits and subsequent hospitalizations.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".