Embedded perspectives: Considerations for the design of a multi-centre research registry
Bibliographic record
Abstract
The denial of decision support and research tools using real-time communication between medical centres is an ongoing problem in Ontario. Through fieldwork, a relationship was established with a neuroradiologist at a local area research hospital, and permission was obtained to create a website based on study data of patients suffering cerebral aneurysms as a step toward resolving this problem. One hundred case files from 2012-2013 were assembled, anonymized and exported from the hospital’s patient records. Post-processing of patient’s images was performed to secure a level of interactivity commensurate with users’ experience through their workplace software. Paper prototypes of interface designs were created for both desktop and mobile platforms. These prototypes were presented to ‘lay’ users and then to representative end users— neuroradiologists at two local area research hospitals. Interaction with the prototype and the ensuing discussions led to the creation of a second prototype, which in turn was presented at each hospital. Observations and findings from these sessions provided a set of design considerations. These considerations led to the formation of a design model which can serve as a basis for ensuring user contribution and reward for participating in an online medical research registry.
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 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 | 0.012 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.006 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".