A107 IMPROVING ACCESS TO URGENT GASTROENTEROLOGICAL CONSULTATION: A POSITIVE PANDEMIC IMPACT
Bibliographic record
Abstract
Abstract Background The global COVID-19 pandemic has resulted in a dramatic re-alignment of clinical service delivery. In mid-March 2020 the Division of Digestive Care and Endoscopy at Dalhousie University leveraged eHealth technology to rapidly implemented a new referral management and triage system and established a new rapid outpatient consultation service to facilitate urgent virtual and face-to-face appointments. Standardized procedures for triaging, booking, and staffing the urgent gastroenterology consultation service were implemented. Aims The aim of this study was to evaluate the impact of the implementation of a standardized triage and consultation process on access to urgent gastroenterology consultative services at a single tertiary care center during the COVID-19 pandemic. Methods We performed a pre- and post-implementation study comparing efficiency metrics for urgent triage and urgent consultation. The pre-implementation cohort included all patients referred and triaged to an urgent clinic appointment between April 1, 2019 to September 30, 2019. The post-implementation cohort included all patients referred and triaged to an urgent clinic appointment between April 1, 2020 to September 30, 2020. Healthcare efficiency data was extracted through electronic record review with specific dates and times for referral receipt (a), triage completion (b), appointment wait-listing (c), and clinic appointment (d). The time to triage (TT), time to visit (TV), and total time to consult (TC) were calculated (TT = c - a; TV = d - c; TC = TT + TV) for each patient. The Mann–Whitney U test was used to compare TT, TV, CT between patient cohorts. Results A total of 429 patients were booked for urgent clinic consultation, 176 during the pre-implementation period and 253 in the post-implementation period. The mean TT for the pre-and post-implementation cohorts was 4.8 days and 3.3 days, respectively (U=18,149, p=0.001). Mean TV was decreased from 16.2 days for the pre-implementation cohort to 3.6 days for the post-implementation cohort (U=6095, p=0.000). The mean time from a referral being received to the patient being seen in consultation (TC) decreased by 67% from 21 days to 6.9 days, Figure 1 (U=6,419, p=0.000). Conclusions The COVID-19 pandemic has had a dramatic impact on healthcare delivery in Nova Scotia. One positive result is that it facilitated the motivation and alignment needed to make a large health system change that may not have otherwise been possible. This study demonstrates that a standardized pathway for urgent outpatient gastroenterology assessment improves the timeliness of care delivery. Funding Agencies None
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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 | 0.005 | 0.018 |
| 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 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".