Development and Evaluation of an Electronic Drug and Therapeutics Bulletin
Bibliographic record
Abstract
OBJECTIVE: To describe the development, implementation, and initial evaluation of a paperless drug and therapeutics bulletin that is distributed by electronic mail from the pharmacy department of an Australian teaching hospital. OUTCOMES: A standardized format for the bulletin was designed and approved in February 2001. The aim of the bulletin is to facilitate the timely dissemination of concise, factual information about issues of current interest in therapeutics, drug safety, and the cost-effective use of medicines. A simple and attractive graphic design was chosen, and the hospital's clinical pharmacists and drug information staff developed an initial bank of content during the period immediately preceding the launch. The bulletin is presented as a 1-page, read-only file in Word for Windows format and was initially distributed by electronic mail to all users of the hospital's computerized communication network. As the popularity of the bulletin increased, healthcare practitioners from outside of the hospital began to request permission for inclusion on the circulation list, and the content was frequently forwarded by E-mail to workers in other hospitals and community-based settings. The bulletin is now distributed to pharmacists around Australia via 2 separate moderated discussion lists, one of which provides an archive site for previous editions. Healthcare workers in Singapore, the US, Canada, and New Zealand also receive the bulletin, which is now also abstracted by a major Australian pharmacy journal. A readership survey (also electronically distributed) was used to seek feedback after the publication of the first 12 editions. Readers indicated a high level of satisfaction with the content, format, and frequency of distribution of the materials. CONCLUSIONS: Although the concept and execution of this project was relatively simple, an extensive literature review did not reveal any previously published reports describing this type of approach to the distribution of a pharmacy bulletin. The development and implementation of the electronic drug and therapeutics bulletin has provided an opportunity to use modern communication technology to promote safe and effective medication use and appears to have been well received.
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.
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 | 0.043 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".