Innovations in technology--Novalung iLA: challenges for the field of critical care nursing.
Bibliographic record
Abstract
The Novalung interventional lung assist (iLA) device is a new pumpless extracorporeal gas exchange device that imitates the native lung because it allows for protective mechanical ventilation by the reduction of tidal volumes and decreased end expiratory pressures. It is a rescue device for patients with refractory lung failure, as well as a bridge to lung transplantation. While used in Europe for some years, the Novalung iLA has been recently approved by both Health Canada and our facility, as a bridge to lung transplantation. In this article, the author discusses the introduction of this new advancement in extracorporeal gas exchange into an adult critical care setting. First, the author presents an overview of this new technology and how it differs from the traditional model of extracorporeal membrane oxygenation, and then shares the process in which the anticipated challenges of this device introduction were addressed in one institution. Particular attention is paid to the education of the nursing staff. A plan was developed to deliver information, education and training guidelines to prepare for patients requiring a bridge to lung transplantation with this device within the medical surgical intensive care unit in our hospital. Subsequently, these initiatives have expanded to include a workshop and a simulation experience.
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.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".