Notice bibliographique
Résumé
Aims To implement virtual simulation for the PEM training utilizing the Virtual resuscitation room (VRR) during COVID in the paediatric emergency department at The Hospital for Sick Children Methods After need assessment the gaps in the simulation based education for the learners in the paediatric ED were identified. The VRR was identifies as a fit to overcome the barriers. The VRR is a free low cost, interactive, collaborative approach to online simulation based education, adopted from the community ED team. It is a simple platform created using Zoom and google slide interface. The VRR had already been utilized for Medical students and adult EM training with high face validity. Therefore, it was adopted it for PEM. As per the learners needs 12 PEM cases were transformed to the VRR platform including, septic shock, croup, asthma, status epilepticus and DKA. Orientation and training session for using the VRR was organized for simulation fellows, PEM fellows and educators in the department separately. The training sessions were conducted for the Residents, Fellows and EM trainees and Community EM physicians. Debriefing was conducted utilizing the plus delta methodology with a standardized checklist provided to Facilitators. Feedback from both facilitators and learners were taken after each session regarding its Usability and feasibility. Results Total 10 sessions with 120 learners had been provided simulation based Education using the VRR. Total 12 common Paediatric PEM cases were developed to entail the need of the learners. There were 30% junior learners and 70% senior learners. Facilitators described it easy to use tool (83%) and feasibility in developing new cases (77%). They were able to modify or increase complexity as per the level of learners(80%) and interactive (86%). The facilitators felt that it was not useful in teaching resuscitation procedural skills (87%). The Learners feedback was taken on the Likert scale of 1-5 where 1 was least likely and 5 was most likely. Ninety seven percent of learner rated 4.4 out of 5 when said that they learnt something that is applicable to their clinical practise, 82% rated 4.3 out of 5 about the fact that the physiological clues, props, technology, and environment facilitated learning on VRR. The Debriefing was rated as 4.8/5 by 92% of the learners using the virtual platform. 97% of the learners were felt engaged in the virtual simulation and 94% felt that clinical clues provided like respiratory distress, capillary refill time, seizures were felt real. Most of the learners (87%) said that that difficult to learn procedural task. Conclusion VRR was found to be a feasible and useful platform to deliver simulation based education for PEM learners.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,004 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,671 | 0,448 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».