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Enregistrement W4200131510 · doi:10.1097/prs.0000000000008658

Medical Directors in Plastic Surgery: How Do We Quantify Their Efforts?

2021· article· en· W4200131510 sur OpenAlexaff

Notice bibliographique

RevuePlastic & Reconstructive Surgery · 2021
Typearticle
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiquePharmaceutical industry and healthcare
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésAutonomyHealth careAuditQuality (philosophy)Patient safetyClinical PracticeControl (management)Medical careClinical audit

Résumé

récupéré en direct d'OpenAlex

The complex nature of the United States’ health care system has largely transformed the manner in which health care providers are evaluated and reimbursed for their efforts. In the operating room, the efforts of plastic surgeons are quantified by either the amount charged or by the relative value units earned from a surgical procedure.1 While such metrics are well established for measuring surgeons’ clinical efforts, there is no consensus regarding the quantification of effort exhibited by plastic surgeons serving as medical directors, despite their importance. Medical directors serve in many sectors of health care. Consequently, methods for quantifying their efforts should be tailored toward their role (Table 1). Directors tasked with overseeing clinical activities are responsible for maintaining and improving the treatment infrastructure in which high-quality health care is provided. Metrics such as patient satisfaction, efficiency of clinical workflow, and results of safety audits may be used to reflect directors’ efforts.2 While each of these variables is easily quantifiable, their use should not be the sole method for measuring a director’s efforts, as heterogeneity in directors’ autonomy across institutions may limit their ability to improve certain aspects of clinical practice.3 Table 1. - Proposed Measures of Medical Directors’ Efforts across Varying Sectors of Health Care Role Proposed Measurement(s) Benefits Limitations Clinical Oversight 1. Patient satisfaction; 2. Clinical efficiency; 3. Safety auditing Metrics correlate with a director’s efforts to ensure quality health care is provided safely and efficiently Significant disparities in decision-making autonomy across institutions Research & Innovation 1. Research output; 2. Funding from grants Accurately quantifies an institution’s contributions to academia Poorly correlated with a director’s efforts Industry 1. Company valuation; 2. Revenue and profit margins Quantifies the financial impact of the director Market dynamics out of directors control can influence these metrics; failure to account for long-term strategies The primary responsibility of medical directors practicing in industry is to ensure the profitability of the company they work for by analyzing the market, identifying opportunities, and advising the procurement and liquidation of valued and paltry assets, respectively.4 One manner of evaluating directors’ efforts in this setting is by observing how strategies developed by directors influence the valuation or growth of the company; however, this form of measurement is not without limitations. Company valuation is not directly representative of a director’s efforts, as it is heavily influenced by fluctuations in the dynamic health care industry. In addition, some strategies developed by the director may be focused on long-term success and may take months or years to influence the valuation of the company. Within academia, many medical directors are responsible for cultivating an environment in which research and innovation are conducted by facilitating the procurement of institutional grants through advocacy and networking.5 In contrast to directors serving in clinical settings and industry, quantifying the efforts of directors’ contributions in academia is more challenging. Metrics such as research output and funding acquired from institutional grants are heavily reliant on the surgeons conducting the research; thus, it can be difficult to delineate the director’s impact in the process. Despite this, sustained levels of high research output and funding from grants deserve recognition when evaluating a director. Plastic surgeons who undertake the role of medical director allot a significant amount of time to fulfill their director-related duties in addition to their extensive clinical responsibilities. Moreover, many directors, with the exception of those working in industry, serve without monetary compensation and are driven to serve secondary to their intrinsic desire to influence the field of medicine. The methods for quantifying the efforts of medical directors that were outlined in this article have utility; however, their limitations warrant further investigation to establish how directors should be rewarded for their contributions. DISCLOSURE The authors have no financial interest to declare in relation to the content of this article.

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)0,103
score de la tête « metaresearch » (Gemma)0,311
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,103
Score d'incertitude au seuil0,545

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1030,311
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0130,018
Études des sciences et des technologies0,0020,005
Communication savante0,0120,016
Science ouverte0,0030,006
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,280
Tête enseignante GPT0,451
Écart entre enseignants0,171 · 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'étudeSans objet
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
Publié2021
Routes d'admission1
Résumé présentoui

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