Assessment of Family Physicians' Performance Using Patient Charts
Bibliographic record
Abstract
Peer-assessment processes with chart review have been used for many years to assess the clinical performance of physicians. The Quebec medical licensing authority has been required by provincial law to assess the practicing Quebec physicians on a nonvoluntary basis. During the period from January 2001 to November 2004, 25 family physicians in active practice were randomly selected from a pool of about 300. For each physician, 25 to 40 patients' medical charts were randomly selected to evaluate the interrater reliability of peer-review assessment of medical charts and to compare ratings based on chart review with a chart-stimulated recall interview to those based on chart review alone. The concordance between chart review alone and that of chart review with chart-stimulated recall interview was 75% for chart keeping, 69% for clinical investigation, 81% for diagnostic accuracy, and 74% for treatment plan. Ratings based on chart review alone achieve moderate levels of reliability (Kappa = 0.44 to 0.56). It appears that some important information about quality of care is missed when only chart review is used.
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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 | 0.018 | 0.072 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".