Notice bibliographique
Résumé
To the Editor: As medical director of a nine-year-old procedure service at one of the nation’s largest academic medical centers, I read the recent article by Vaisman and Cram on procedural competence with great interest.1 The scenario described by these Canadian authors is unfortunately common in U.S. training facilities also. While I would concede that a perceived “drive for efficiency” has resulted in referring procedures that were once within the world of internal medicine to others, I would disagree that it is actually efficient. Subspecialists have requisite knowledge, skills, training, and experience that are rarely necessary to successfully perform a bedside procedure. In fact, shifting such procedures to interventional radiology (IR) may result in unnecessary exposure to radiation, wasteful resource utilization, and slower patient throughput. Further, performing a procedure at the bedside allows that patient to progress through the system while simultaneously allowing IR facilities and personnel to be used more efficiently. We in internal medicine must stop giving away the very procedures that form the underpinning of our specialty. Since a numerical threshold for competency determination has not been demonstrated to be evidence based, we, like the American Board of Internal Medicine, moved away from such at our institution. We previously published criteria to define competency based on patient outcomes, what we think is the ultimate metric.2 We have the benefit of a resident-run, attending-staffed procedure service, but we conduct faculty-level training, mentoring, and proctoring for those interested in refining and improving their skills. In our dedicated paradigm, we directly observe and evaluate procedural performance by residents and are able to provide them immediate feedback. Using our critical skills checklist, we are able to deem residents competent, regardless of the number of procedures performed. Anecdotally, some have argued that these skills have been lost because of time constraints, lack of uniformity in prior training, poor payment, and lack of interest. Those who do not still perform procedures should relinquish such privileges at their institution. However, I believe that bedside procedural skills need to return to the aegis of internal medicine and that those who are like-minded should be retrained. Our program has made great strides in reclaiming such lost territory, having been consulted more than 10,000 times since our 2007 implementation. Joshua D. Lenchus, DO, RPhAssociate professor of clinical medicine, anesthesiology, and radiology, University of Miami Miller School of Medicine, Miami, Florida; [email protected]
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 | 0,013 | 0,116 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,005 |
| Communication savante | 0,007 | 0,006 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,014 | 0,022 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
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 ».