Tecnologias utilizadas pela enfermagem na prevenção de erros de medicação em pediatria
Bibliographic record
Abstract
Trata-se de revisão integrativa com objetivo de verificar quais tecnologias estão sendo utilizadas pela enfermagem para prevenir erros de medicação em pediatria. Realizou-se busca em bases de dados em saúde, de artigos nacionais e internacionais publicados entre os anos de 2006 e 2011. Os resultados mostram as estratégias utilizadas para minimizar erros de medicações, entre elas: padronização de medicamentos e drogas de alerta máximo, prescrições informatizadas, código de barras, dose unitária de medicamentos, dupla checagem, registros de enfermagem e participação do paciente na terapia. Alerta para a importância do uso de novas tecnologias que garantam maior segurança ao paciente pediátrico.Descritores: Erros de Medicação, Prescrições de Medicamentos, Criança, Pediatria, Tecnologia.Technologies used by nursing preventing medication errors in pediatricsIt is inteIt is integrative review in order to verify which technologies are being used by nurses to prevent medication errors in pediatrics. Search was carried out on data bases in health, national and international articles published between 2006 and 2011. The results show the strategies used to minimize medication errors, including: the standardization of medicines and drugs of high alert, computerized prescriptions, bar coding, unit dose medication, double check, records of nursing and patient participation in therapy. It points to the importance of using new technologies to ensure greater safety for the pediatric patient.Descriptors: Medication Errors, Drug Prescriptions, Children, Pediatrics, Technology.Tecnologías utilizadas por la enfermería en la prevención de errores de medicación en pediatríaSe trata de una revisión integradora con el objetivo de verificar cuáles son las tecnologías que están siendo utilizadas por las enfermeras para prevenir errores de medicación en pediatría. Búsqueda se realizó en bases de datos en materia de salud, nacionales e internacional de artículos publicados entre los años 2006 y 2011. Los resultados muestran que las estrategias utilizadas para minimizar los errores de medicación, incluyendo: la estandarización de los medicamentos y las drogas de máxima alerta, las recetas informatizadas, códigos de barras, los medicamentos de dosis unitarias, doble control, los registros de participación de la enfermería y el paciente en la terapia. Señala la importancia de utilizar las nuevas tecnologías para garantizar una mayor seguridad para el paciente pediátricoDescriptores: Errores de Medicación, Recetas de Drogas, Los Niños, Pediatría, Tecnología.
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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 | 0.014 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".