Using Institutional Ethnography to Bridge the Gap and Develop eHealth Communications for Patient Transitions in British Columbia
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
Communication during patient transitions is difficult in a fragmented health care system. eHealth technologies are often seen as a panacea, but a large proportion of eHealth projects fail, primarily because of human, not technological, elements. To combat this tendency, concepts derived from institutional ethnography were applied to create an electronic communications solution, which enabled careful mapping of communications gaps; their consequences; and the diverse needs of multiple health care providers. Institutional ethnography allowed researchers to trace social relations across locations in the health system and determine how action could be coordinated to ensure that family physicians were informed of patients’ acute care encounters, while simultaneously strengthening relations between clinicians and information technology workers. As a result, an automated electronic notification system was piloted, evaluated, and spread to more than 92 percent of community physicians in one region of British Columbia, Canada, improving communication between providers and enhancing patient care.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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