Communication Channels in General Internal Medicine: A Description of Baseline Patterns for Improved Interprofessional Collaboration
Bibliographic record
Abstract
General internal medicine (GIM) is a communicatively complex specialty because of its diverse patient population and the number and diversity of health care providers working on a medicine ward. Effective interprofessional communication in such information-intensive environments is critical to achieving optimal patient care. Few empirical studies have explored the ways in which health professionals exchange patient information and the implications of their chosen communication forms. In this article, we report on an ethnographic study of health professionals' communication in two GIM wards through the lens of communication genre theory. We categorize and explore communication in GIM into two genre sets-synchronous and asynchronous-and analyze the relationship between them. Our findings reveal an essential relationship between synchronous and asynchronous modes of communication that has implications for the effectiveness of interprofessional collaboration in this and similar health care settings, and is intended to inform efforts to overcome existing interprofessional communication barriers.
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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 | 0.022 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".