Doctors’ perspectives on their innovations in daily practice: implications for knowledge building in health care
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
CONTEXT: When individuals adapt their practice in order to solve novel or unexpected problems of practice, they are creating new knowledge. This form of innovation development is understood as a core competency of adaptive expertise and the basis for knowledge building community practice. However, little is known about the ways in which this knowledge, produced through daily, innovative problem solving, is developed, identified and shared by health care professionals. METHODS: Following this line of inquiry, we conducted semi-structured interviews with a saturation sample of 15 clinical faculty staff at the University of Toronto. RESULTS: A grounded theory analysis of the results showed that our participants held the view that innovation was focused on outcomes, developed through research practice and diffused for adoption in the broader community. As a result, their own individual improvements to daily practice were excluded from this view of innovation. Furthermore, their perceptions of innovation limited participants' engagement in the sort of collaborative process that is central to the practice of knowledge-building communities. CONCLUSIONS: This research demonstrated that thinking about innovation and innovative practice must be changed in order to foster the development of knowledge-building communities in medicine.
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 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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