The University of Victoria Interdisciplinary Electronic Health Record Educational Portal
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
Use of Electronic Health Record (EHR) systems is increasing globally. However, adoption rates of Health Information Systems (HISs) continue to remain poor. To improve adoption rates, there is need to provide greater HIS experience to health professionals and informaticians in health and biomedicine during their undergraduate and graduate education. A recent review of the health professional educational curricula (i.e., medicine, nursing, allied health and health/biomedical informatics) revealed that they provide only limited exposure to EHRs. In response to this educational need, the authors have developed the University of Victoria Interdisciplinary Electronic Health Record Educational Portal (UVicIED-EHR Portal). This unique, web-based portal allows students of the health professions and practicing professionals to access and interact with a set of representative EHR HIS solutions using the web. The portal, which links to several EMRs, EPRs and PHRs, has been used by several health professional educational programs in medicine, nursing and health informatics. It provides practicing health and health/biomedical informatics professionals, for example, managers and directors, with opportunities to access and review EHR systems. The portal has been used successfully in the classroom, laboratory and with distance education to give hands-on experience with a variety of HISs and their components.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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