From Communication Skills to Skillful Communication: A Longitudinal Integrated Curriculum for Critical Care Medicine Fellows
Bibliographic record
Abstract
PROBLEM: Communication with patients and families in critical care medicine (CCM) can be complex and challenging. A longitudinal curricular model integrating multiple techniques within classroom and clinical milieus may facilitate skillful communication across diverse settings. APPROACH: In 2014-2015, the authors developed and implemented a curriculum for CCM fellows at the Cumming School of Medicine, University of Calgary, to promote the longitudinal development of skillful communication. A departmental needs assessment informed curriculum development. Five 4-hour classroom sessions were developed: basic communication principles, family meetings about goals and transitions of care, discussing patient safety incidents, addressing conflict, and offering organ donation. Teaching methods-including instructor-led presentations incorporating a consistent framework for approaching challenging conversations, simulation and clinical practice, and feedback from peers, trained facilitators, family members, and clinicians-supported integration of skills into the clinical setting and longitudinal development of skillful communication. Seven fellows participated during the first year of the curriculum. OUTCOMES: CCM fellows engaged enthusiastically in the program, commented that the framework provided was helpful, and highly valued the opportunity to practice challenging communication scenarios, learn from observing their peers, and receive immediate feedback. NEXT STEPS: More detailed accounts of fellows', patients', and family members' experiences will be obtained to guide curricular development. The curriculum will be expanded to involve other members of the multidisciplinary intensive care unit team, and faculty education initiatives will be offered to enhance the quality of the feedback provided. The impact of the curriculum on initial skill development, retention, and progression will be assessed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".