NICU virtual rounds: Feasibility and acceptability of enhanced access for families and care providers
Bibliographic record
Abstract
To evaluate the feasibility and acceptability of virtual medical rounds in the neonatal intensive care unit (NICU) aimed to enhance access for families and care providers. Families of infants requiring neonatal intensive care in a tertiary level NICU and healthcare providers (HCPs) who attended daily virtual medical rounds via a secure password protected video conferencing system were offered to complete a survey to evaluate their satisfaction with communication and care delivered via a virtual modality. A total of 176 surveys were completed during the evaluation period, 40 family members and 136 HCPs. The median levels of satisfaction were 9.5 (range 3–10) for family members and 9 (range 1–10) for HCPs. Our findings support the use of virtual rounds in the NICU. Further study is warranted regarding family and care provider acceptance, impact and the use of virtual rounds outside the COVID-19 pandemic restrictions.
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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 | 0.010 | 0.043 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".