Continuing professional development for interprofessional teams supporting patients in healthcare decision making
Bibliographic record
Abstract
Healthcare professionals and organizations, policy makers, and the public are calling for safe and effective care that is centered on patients' needs, values, and preferences. The goals of interprofessional shared decision making and decision support are to help patients and professionals agree on choices that are effective, health promoting, realistic, and consonant with patients' and professionals' values and preferences. This requires collaboration among professionals and with patients and their family caregivers. Continuing professional development is urgently needed to help healthcare professionals acquire the knowledge, skills, and attitudes necessary to create and sustain a culture of collaboration. We describe a model that can be used to design, implement, and evaluate continuing education curricula in interprofessional shared decision making and decision support. This model aligns curricular goals, objectives, educational strategies, and evaluation instruments and strategies with desired learning and organizational outcomes. Educational leaders and researchers can institutionalize such curricula by linking them with quality improvement and patient safety initiatives.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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; a candidate call from one teacher head, 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".