All Hands on Deck: Learning to “Un‐specialize” in the COVID‐19 Pandemic
Notice bibliographique
Résumé
Journal of Hospital MedicineVolume 15, Issue 5 p. 314-315 Perspectives in Hospital Medicine All Hands on Deck: Learning to "Un-specialize" in the COVID-19 Pandemic Peter Cram MD, MBA, Corresponding Author Peter Cram MD, MBA [email protected] Division of General Internal Medicine and Geriatrics, Sinai Health System and University Health Network, Toronto, Canada Faculty of Medicine, University of Toronto, Toronto, CanadaCorresponding Author: Peter Cram, MD, MBA; Email: [email protected]; Twitter: @pmcram.Search for more papers by this authorMel L Anderson MD, Mel L Anderson MD Primary and Specialty Care Service Line, Minneapolis VA Health Care System, Minneapolis, MinnesotaSearch for more papers by this authorErin E Shaughnessy MD, MSHCM, Erin E Shaughnessy MD, MSHCM Division of Hospital Medicine, Phoenix Children's Hospital, Phoenix, Arizona Department of Pediatrics, University of Arizona College of Medicine-Phoenix, Phoenix, ArizonaSearch for more papers by this author Peter Cram MD, MBA, Corresponding Author Peter Cram MD, MBA [email protected] Division of General Internal Medicine and Geriatrics, Sinai Health System and University Health Network, Toronto, Canada Faculty of Medicine, University of Toronto, Toronto, CanadaCorresponding Author: Peter Cram, MD, MBA; Email: [email protected]; Twitter: @pmcram.Search for more papers by this authorMel L Anderson MD, Mel L Anderson MD Primary and Specialty Care Service Line, Minneapolis VA Health Care System, Minneapolis, MinnesotaSearch for more papers by this authorErin E Shaughnessy MD, MSHCM, Erin E Shaughnessy MD, MSHCM Division of Hospital Medicine, Phoenix Children's Hospital, Phoenix, Arizona Department of Pediatrics, University of Arizona College of Medicine-Phoenix, Phoenix, ArizonaSearch for more papers by this author First published: 07 April 2020 https://doi.org/10.12788/jhm.3426Citations: 3Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Graphical Abstract References 1Smith A. An Inquiry into the Nature and Causes of the Wealth of Nations. Chicago, Illinois: University of Chicago Press; 1976. Google Scholar 2Cram P, Ettinger WH, Jr. Generalists or specialists–who does it better? Physician Exec. 1998; 24(1): 40–45. CASPubMedGoogle Scholar 3 Accreditation Council for Graduate Medical Education. ACGME Response to Pandemic Crisis. https://acgme.org/COVID-19. Accessed April 1, 2020. Google Scholar 4 The Joint Commission. Emergency Management—Meeting FPPE and OPPE Requirements During the COVID-19 Emergency. https://www.jointcommission.org/standards/standard-faqs/hospital-and-hospital-clinics/medical-staff-ms/000002291/. Accessed April 1, 2020. Google Scholar 5Petropoulos F, Makridakis S. Forecasting the novel coronavirus COVID-19. PLoS One. 2020; 15(3):e0231236. https://doi.org/10.1371/journal.pone.0231236.eCollection2020. 10.1371/journal.pone.0231236 CASPubMedWeb of Science®Google Scholar 6Ioannidis JPA. Coronavirus disease 2019: the harms of exaggerated information and non-evidence-based measures. Eur J Clin Invest. 2020;e13222. https://doi.org/10.1111/eci.13222. Google Scholar 7Antommaria M. Conflicting duties and reciprocal obligations during a pandemic. J Hosp Med. 2020; 15(5): 284–286. https://doi.org/10.12788/jhm.3425. 10.12788/jhm.3425 PubMedWeb of Science®Google Scholar Citing Literature Volume15, Issue5May 2020Pages 314-315 ReferencesRelatedInformation
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 | 0,002 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».