A rapid evidence‐based service by librarians provided information to answer primary care clinical questions
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
BACKGROUND: A librarian consultation service was offered to 88 primary care clinicians during office hours. This included a streamlined evidence-based process to answer questions in fewer than 20 min. This included a contact centre accessed through a Web-based platform and using hand-held devices and computers with Web access. Librarians were given technical training in evidence-based medicine, including how to summarise evidence. OBJECTIVES: To describe the process and lessons learned from developing and operating a rapid response librarian consultation service for primary care clinicians. METHODS: Evaluation included librarian interviews and a clinician exit satisfaction survey. RESULTS: Clinicians were positive about its impact on their clinical practice and decision making. The project revealed some important 'lessons learned' in the clinical use of hand-held devices, knowledge translation and training for clinicians and librarians. CONCLUSIONS: The Just-in-Time Librarian Consultation Service showed that it was possible to provide evidence-based answers to clinical questions in 15 min or less. The project overcame a number of barriers using innovative solutions. There are many opportunities to build on this experience for future joint projects of librarians and healthcare providers.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.032 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it