Evaluation of an Innovative Communication Technology in an Acute Care Setting
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
Wireless technology in healthcare has been associated with communication-related improvements in workflow; however, there are barriers to adoption. The purpose of this study was to assess perceptions and attitudes of staff toward the use of a wireless communication device (Vocera, Vocera Communications, Inc., San Jose, CA) and to compare communication patterns before and after implementation. A pretest-posttest quasi-experimental design and the Theory of Planned Behavior were used. Attitudes, subjective norms, and perceived control explained 25% of the variation in behavioral intent before and 45% of the variation in behavioral intent after Vocera implementation. The time for key communication activities was reduced by 25% overall. On average, each nurse engaged in these activities 16.2 times a day before Vocera and 11.6 times a day with Vocera. This study provides evidence that introduction of novel communication technology must account for user attitudes before implementation. Vocera improved "hand-off" communication, was perceived to be of benefit, and has the potential to improve patient safety and work environments. This may also translate to reduction in healthcare resources.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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