P‐ED‐6 | Transfusion Medicine: Continuing Education via Digital Programming
Notice bibliographique
Résumé
Continuing education is critical for healthcare professionals, including those working in transfusion medicine (TM), to stay updated on the latest advancements, techniques, and research in their field, maintain quality patient care, and, in some cases, maintain professional certification. Digital models have effectively delivered high-quality continuing education during the COVID-19 pandemic and beyond. The current program aims to provide educational programs in TM via digital platforms and to maximize engagement. Educational materials were provided via podcasts and webinars. Monthly podcasts delivered a broad range of topics on science and technology pertinent to lab professionals in an engaging, interactive format. Webinars with defined learning objectives and traditional speaker presentations provided in-depth knowledge about lab procedures and emerging concepts in a more structured format. The webinars were presented to live attendees and were later available for on-demand viewing; some webinars were accredited through professional agencies to allow the option of receiving professional continuing education credits. In addition, a periodic gathering of metrics measuring interaction and engagement was performed. Podcast engagement was measured by total downloads, and reach was assessed by analysis of downloads by country. A total of 11 podcasts were released from January through December 2022. As of December 2022, the podcasts were downloaded over 6000 times, with downloads most frequently occurring in the United States, Canada, and the United Kingdom. To date, the most commonly downloaded podcast discusses the resolution of antibodies to high-prevalence antigens. Webinars, most frequently attended by lab technicians and those in lab management, garnered 3580 views in 2022. A total of 10 webinars, 5 live and 5 simu-live webinars, were offered in 2022 and attended by 1431 live attendees and 2149 on-demand attendees. Live events averaged 286 live attendees, a 63% increase over the 2015-2018 event attendee average and a 47% increase over 2021 attendance. Simu-live attendance has increased by 272% since 2021. Metrics include the number of attendees by country and breakdown by participant credentials. Digital platforms have proven effective media for the worldwide delivery of continuing education in TM. The flexibility of podcasts adds to their appeal and accessibility, while the more traditional webinar presentation provides the benefits of an in-person conference without traveling to a physical location. With digital continuing education, TM professionals have been afforded a convenient, cost- and time-effective way to stay updated on the latest developments in their field despite the challenges posed by the COVID-19 pandemic.
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 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,350 | 0,121 |
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».