Cytopathology is the Nexus for patient‐centered care
Notice bibliographique
Résumé
The genomic revolution has been facilitated by the convergence of minimally invasive diagnostic and therapeutic techniques, refinements in imaging and guided biopsy (particularly fine-needle aspiration biopsy), the development of whole genome sequencing, and the emergence of targeted therapies.Cytopathologists are the first responders from laboratories: they are educated to acquire, triage, and assess small biopsies and cell samples as substrates for molecular testing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry, and genetic testing.Pathologists and cytopathologists are now integral to multidisciplinary care teams and have a voice in patient assessments for treatment plans.Cytopathologists who perform fine-needle aspiration biopsy (particularly ultrasound-guided biopsy) are at the direct interface with patients and are, of necessity, developing communication skills that incorporate empathy and compassion.Information transfer in the digital age has been complicated by information overload, a phenomenon that creates an opportunity for cytopathologists to become mentors in making sense of information (the process of information diffusion) and managing overload by serving as information professionals who guide learners to appropriate information resources.As cytopathologists migrate toward the center of patient care through interventional interfaces with patients, we become responsible for generating a complete, integrated report that moves information to patient portals on the Internet and to clinicians by secure digital delivery methods.With 70% of the medical record representing laboratory information, it is critical that pathologists take responsibility for its accuracy, display, and integration.This supplement, The Genomic Revolution: The Critical Role of Cytopathology in Patient-Centered Care and Personalized Medicine, was conceived to unite current research and procedural protocols with real-world clinical processes, from the clinical encounter with the patient to the quality assessment of the final report, and it is intended to provide an in-depth snapshot of why cytopathology is essential and integral to patient-centered care in the genomic era.Dr. Edward J. Gutmann, working in the pathology department of the Dartmouth-Hitchcock Medical Center (Dartmouth's Geisel School of Medicine), addresses caring for the patient in the context of cytopathology: "The diagnoses we make via the conscientious applications of specialized knowledge" represent how we care, and "the right diagnosis communicated well to patient and clinician can light the route even as it establishes it."1 Subliminally permeating his narrative exposition are the compassion and empathy that must characterize interactions with patients and communications with and about them.Caring implies and necessitates a culture of safety with metrics-based analysis of performance variation; root causes; error reporting, detection, and reduction; repair and adverse event management; and general quality initiatives.These issues are explored by
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 | 0,008 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,013 |
| Communication savante | 0,011 | 0,010 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,005 | 0,011 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,024 | 0,008 |
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 ».