Notice bibliographique
Résumé
Following the recent editorial on social media and its potential impact for health care practitioners and patients alike, two exciting social media-based approaches have been introduced in the wound-care arena. These are The Welsh Wound Community (www.welshwoundcommunity.com) and the Diabetic Foot Canada Community www.diabeticfootcommunity.ca). As the first truly interactive private communities focused on wounds and their prevention and treatment, the sites provide a significant resource to all involved in the care of patients with wounds. Using proprietary software (www.electriceffect.com) the communities allow members to not only communicate privately but also to exchange relevant documents and to share information. The members can then use the community to discuss, disseminate and rank the information posted within the site. This interaction will provide a relevancy score for all content allowing the users to determine which content is highly applicable, which is rated by the community at large and more importantly where evidence gaps exist (i.e. low relevancy areas). Included in the site is the ability to seamlessly viral market both content and news items from the community with other social media channels, such as Facebook and Twitter. One of the common issues of peer-to-peer education and a multidisciplinary approach is continued contact and mentoring. The online community approach provides elements of mentoring and continued contact of the trained educators. The formal virtual private network (social) platform enhances connectivity and provides a vehicle to allow ongoing mentoring, peer-to-peer contact and the feeling of being part of a multidisciplinary approach, even if only virtually. The private network will also allow access to the many assets required to provide effective, evidence-based management and prevention in the area of diabetic foot ulcers and chronic wound management. Through specialised asset management software, the network can demonstrate and record the usage of these assets by region, allowing accurate asset utilisation data—region by region allowing targeted training where it is required. The communities as they more fully evolve will provide private secure networks that facilitate the interaction of both health care professionals and patients alike. These networks will allow the private discussion of issues faced in the management of this growing health care issue and will allow the dissemination, discussion as well as modification of approach and the evidence behind it. The utilisation of this resource will ensure ‘health equality’ across nations while providing a tailored approach for specific populations if required as the network can be segmented to allow ‘specialisation’.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
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 tête enseignante, 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 ».