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Enregistrement W2898417249 · doi:10.5489/cuaj.5722

Happy Lauer Syndrome (HLS) – Observations from a PGY-5

2018· article· en· W2898417249 sur OpenAlexaffvenue
Sarah Ferrera, Robert K. Nam

Notice bibliographique

RevueCanadian Urological Association Journal · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueVoice and Speech Disorders
Établissements canadiensHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésComputer sciencePsychology

Résumé

récupéré en direct d'OpenAlex

esidency is the time when young surgeons learn to operate.We start with the basics and progressively gain skills as we practice our future trade.We learn to "open and close," we become experts at holding the sucker, we learn to sew in drains, and we learn to cut sutures and tie knots.At some point in our training, someone hands us the lauer and time stops.The lauer can go by many names -the right angle, negus forceps, etc.It is the key instrument used to guide the surgical assistant and is held by the primary surgeon.When the lauer is passed to you, the moment has finally come.You have been entrusted with this exceedingly important tool; to guide the person on the other side of the table to cauterize here or cauterize there.Trumpets sound.Doves are released.Euphoria ensues.All of which comes to a crashing halt when you hear, "What… are you doing?" from your beloved staff.Happy Lauer Syndrome (HLS) is a condition in which the learner is given the primary surgical instrument and becomes so overcome with feelings of happiness that said learner is unable to proceed with the case.Sometimes he/she will stare at the lauer mutely, not knowing what to do next.Other times he/she may slow the progression of the case by nervously repeating a move the staff has just done, or make seemingly random moves that are not in keeping with the next logical step, which then must be safely corrected.This results in staff surgeon frustration and the inevitable "taking away of the lauer."HLS was inadvertently coined by Dr. Robert Nam during the partial nephrectomy incident of 2018, where he suggested a resident (who shall remain nameless) may have this terrible condition.We now look to further explore this seemingly widespread malady.Any surgical resident can develop this condition, but those at highest risk include the junior population (PGY1-3), senior residents with exposure to a new surgical procedure, learners with an unfounded high degree of confidence, or those in training programs where the resident does not reach the operating room (OR) until a late stage.HLS is very difficult to avoid altogether; the best one can hope for is to suffer a quick bout and move on unscarred.Those with lingering HLS are doomed to suffer the most.This is explored further in our proposed grading system (Table 1).With good staff mentorship, HLS can quickly dissipate, similar to an allergic reaction.Once the excitement is removed with repetitive exposure to the lauer, the learner will naturally become more thoughtful and show more controlled motions.You know you have been cured of HLS when you ask for the lauer yourself in a calm and controlled voice, and proceed to use the tool with precision and care.You may receive such uplifting compliments as, "mm-hmm," or "keep going," or even "excellent!"At this point, the resident can rest assured he/she has made a full recovery.A high rate of HLS seen in a surgical training program may indicate that the time has come to re-evaluate resident teaching.A combination of earlier exposure to the OR, increased guidance and communication from the primary surgeon, simulation models, and of course, preparation from the residents themselves, can facilitate a better and safer operating experience.Surgical teaching at a reasonable pace and volume (whenever possible) is needed.One promising move towards a cure is the introduction of Competency-By-Design (CBD).The CBD model for surgical training focuses on increased direct observation with assessments and more direct feedback.This allows for early identification of weaknesses and guidance for improvements of core competencies.In these times of highly prevalent HLS, we can look to such advancements in urological surgery education as a beacon of light.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: Étude de cas
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,003
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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.

Tête enseignante Opus0,024
Tête enseignante GPT0,239
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission2
Résumé présentnon

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