A Typology of ICU Patients and Families from the Clinician Perspective: Toward Improving Communication
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents an exploratory case study of clinician-patient communications in a specific clinical environment. It describes how intensive care unit (ICU) clinicians' technical and social categorizations of patients and families shape the flow of communication in these acute care settings. Drawing on evidence from a year-long ethnographic study of four ICUs, we develop a typology of patients and families as viewed by the clinicians who care for them. Each type, or category, of patient is associated with differing communication strategies, with compliant patients and families engaged in greater depth. In an era that prioritizes patient engagement through communication for all patients, our findings suggest that ICU teams need to develop new strategies for engaging and communicating with not just compliant patients and families, but those who are difficult as well. We discuss innovative methods for developing such strategies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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