Improving access to otolaryngology–head and neck surgery expert advice through eConsultations
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: Prolonged wait times have become common. Electronic consultations (eConsults) have been shown in previous studies to reduce unnecessary face-to-face consultations to specialists, but no prior study has investigated the feasibility or efficacy of eConsults in an otolaryngology-head and neck surgery (OTO-HNS) practice. STUDY DESIGN: Prospective observational study. METHODS: The Champlain BASE eConsult system is a secure web portal allowing primary care physicians (PCPs) to communicate asynchronously with specialists about a patient, without requiring a formal face-to-face consult. The data from all eConsults sent through this portal to OTO-HNS practices between July 2011 and January 2015 were collected and analyzed. RESULTS: Response time was rapid; over 40% of eConsults received a response within 24 hours, and nearly all eConsults were answered within 7 calendar days. The median response time was nearly 29 times faster than traditional face-to-face consultation. Unnecessary face-to-face referrals were avoided in 33.4% of all eConsults, and in nearly 50% of cases where the PCP initially planned a formal referral. PCPs reported adopting a new or additional course of action over 50% of the time following an eConsult. Eighty-eight percent of PCPs reported the service to be valuable for their patients, and 92% found it valuable for themselves. eConsults require only a limited time commitment from specialists, with over 75% taking less than 10 minutes to complete. CONCLUSIONS: eConsultation is a cost-effective system that can lead to decreased wait times, improved communication between PCPs and otolaryngologists, and help guide the development of targeted continuing professional development modules for PCPs. LEVEL OF EVIDENCE: 4. Laryngoscope, 128:350-355, 2018.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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