Improving the organization of consultation departments in university hospitals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
RATIONALE: Changes in the demography of doctors require changes in care practices. OBJECTIVES: The aim of this study was to identify factors associated with doctors' workload in the ophthalmology consultation department of a university hospital, with a view to developing methods to improve the organization of hospital outpatient clinics. METHODS: A 10-day cross-sectional survey was carried out in an ophthalmology outpatient clinic (in- and outpatient consultations, including emergencies) specializing in the uveitis care. Demographic and management data for each patient were collected on a structured form. The doctor's workload was assessed, using a scale taking into account the duration of the consultation and the number of diagnostic tests performed, as a function of management complexity. RESULTS: Of the 861 consultations studied, 39.7% were highly complex. The level of complexity of consultations was correlated with the type of referral (phi = 0.602), consultation duration (phi = 0.545), the number of consultations in the previous year (phi = 0.499), and the number of diagnostic tests performed (phi = 0.445). Consultations were longer and diagnostic tests were more frequently performed if patients had been referred by an ophthalmologist, consulted a faculty doctor or a fellow, or presented with uveitis. Consultations were also more complex for patients with at least four previous consultations in the past year. CONCLUSIONS: Type of referral, status of the attending doctor and number of consultations within the course of 1 year were associated with doctors' workload and could be taken into account to predict the duration of complexity of consultations when scheduling appointments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.033 | 0.096 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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