Technological aspects of hospital communication challenges: an observational study
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
OBJECTIVE: To gain insights into how technological communication tools impact effective communication among clinicians, which is critical for patient safety. DESIGN: This multi-site observational study analyzes inter-clinician communication and interaction with information technology, with a focus on the critical process of patient transfer from the Emergency Department to General Internal Medicine. SETTING: Mount Sinai Hospital, Sunnybrook Health Sciences Centre and Toronto General Hospital. PARTICIPANTS: At least five ED and general internal medicine nurses and physicians directly involved in patient transfers were observed on separate occasions at each institution. INTERVENTIONS: N/A. MAIN OUTCOME MEASURES: N/A. RESULTS: The study provides insight into clinician workflow, evaluates current hospital communication systems and identifies key issues affecting communication: interruptions, issues with numeric pagers, lack of integrated communication tools, lack of awareness of consultation status, inefficiencies related to the paper chart, unintuitive user interfaces, mixed use of electronic and paper systems and lack of up-to-date contact information. It also identifies design trade-offs to be negotiated: synchronous communication vs. reducing interruptions, notification of patient status vs. reducing interruptions and speed vs. quality of handovers. CONCLUSIONS: The issues listed should be considered in the design of new technology for hospital communications.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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