P082 <break /> Targeted needs assessment for education of primary care physicians in interstitial lung disease: from an expert perspective
Bibliographic record
Abstract
Background: Generating a diagnosis of interstitial lung disease (ILD) is challenging and often results in delay of diagnosis and care. The role of primary care physicians (PCPs) has not yet been defined for the care of patients with ILD. Aims: To explore the educational needs of PCPs for care of patients with ILD from expert’s perspective. Methods: We performed purposeful sampling of recognized ILD experts in the US. Participants completed an online survey with multiple choice and open-ended questions on the topic of educational needs for PCPs. Results: 12/18 (67%) participants completed the survey. On average, participants dedicate 70% of clinical time to ILD care in high volume ILD clinics. Participants reported the most important diagnostic tests to be performed in the primary care setting include: high-resolution computer tomography (HRCT) scan, full pulmonary function testing and referral to an ILD center. Participants report the role of the PCP is to raise the possibility of an ILD diagnosis and initiate preliminary diagnostic testing. Consensus regarding their role in management is lacking. The top three identified educational priorities were: 1) Consideration of ILD in the evaluation of dyspnea, 2) Routine use of HRCT for diagnosis, 3) Timely referral to an ILD center.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".