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Enregistrement W2012613215 · doi:10.1210/me.2014-1343

The Importance of Basic Science and Research Training for the Next Generation of Physicians and Physician Scientists

2014· editorial· en· W2012613215 sur OpenAlexaboutno aff
Donald Defranco, Gwendolyn Sowa

Notice bibliographique

RevueMolecular Endocrinology · 2014
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLEAPSProcess (computing)Set (abstract data type)Relevance (law)Human diseaseQuality (philosophy)Medical educationMEDLINEDiseaseSociology of scientific knowledgeEngineering ethicsBiologyComputer scienceMedicinePathologyEpistemology

Résumé

récupéré en direct d'OpenAlex

Now more than ever, medical educators at all levels are tasked with delivering foundational concepts and content necessary for the next generation of physicians and physician scientists to incorporate evidence-based medicine into their clinical practice and research. Physicians need the skills to evaluate the quality and relevance of content that they are incorporating to their expanding medical knowledge database. The emphasis of modern medical education should therefore focus on acquiring, interpreting, and applying new knowledge rather than committing old (and rapidly outdated) knowledge to memory. Whether encountering a patient with an unfamiliar set of symptoms and numerous comorbidities or a gap in mechanistic understanding of a complex biological or physiological process, medical and scientific knowledge must be applied appropriately to be effective. Furthermore, assessments of the outcomes of that application to the patient or an experimental observation must be robust if conclusions are to be reached that advance our understanding of patient care or fundamental biological processes. “Medical schools throughout the country are recognizing the value of medical student engagement in research. Rigorous hands-on training in the scientific method will aid in the integration of basic science knowledge with clinical decision-making and ultimately enhance patient care.” However, instruction or training in evidence-based medicine presents a challenge to medical educators, because the depth of mechanistic understanding of physiological and pathophysiological process has exploded. Quantum leaps have been made in our understanding of human biology advanced by the solving of DNA structure in 1953 and sequencing of the first human genome in 2003. The depth in our understanding of fundamental processes in human biology and disease is seen at every level, genetic, molecular, cellular, and system wide. However, despite this explosion of scientific knowledge, the time devoted to basic science instruction in most medical school curricula has been shrinking rather than expanding. We should all expect more from our medical students than a snap-chat, wiki-knowledge level of basic science processes. Moreover, we must recognize that the process of knowledge acquisition is equally as important, if not more so, than the actual knowledge acquired. Because the recall of stored content can be so rapid and effortless in the digital age, how can we expect the current generation of students to be excited and inspired by delivery of content merely for content's sake? In 1910 (1), Abraham Flexner published his report on the state of medical education in the United States and Canada that fundamentally reformed medical schools in North America with curricular and policy recommendations that remain essentially intact in today's landscape of medical education. Flexner himself was instrumental in the founding of one of the first American medical schools (ie, the University of Rochester; http://www.urmc.rochester.edu/about-us/history-of-urmc.aspx) to incorporate his provocative ideas on medical education from its inception. An important component of that report was the recognized need for significant basic science instruction in medical schools. We doubt that Flexner and his contemporaries could have imagined the biological discoveries that were to be made in the ensuing 100 years that have provided the modern physician and scientist with such a deep understanding of human biology and disease. However, one of the fundamental tenants of the Flexner report regarding the importance of scientific instruction in medical school must be retained for the next generation of physicians and physician-scientists to overcome challenges to modern medicine that can potentially have an acute, global impact on human health or gradually erode the quality of life of chronic disease sufferers. A number of articles dating back at least over 30 years (2, 3) have reported on the values of integrating basic science instruction at all levels of medical school instruction to clinical diagnosis but highlighted the difficulties inherent in a variety of approaches to implement this integration. With the expanding base of scientific knowledge, students will benefit less from simply focusing on committing this rapidly changing dataset to memory. We instead need to focus on training future clinicians to effectively use the information, which is now literally at their fingertips, to the individual patient that they are treating with a rational and organized approach. We believe that this important milestone can be accomplished through engagement of medical students in research and scholarly activities. The fundamental principle that guides this core component of medical student education is that hands-on experience with the scientific method will enhance its application to future research or clinical practice. Furthermore, this approach promotes curiosity among students as they seek to incorporate their own insights into an unresolved scientific or medical problem. The fact that basic science knowledge can enhance clinical diagnosis skills is well documented (3, 4), and integration of such information in clinical decision-making using a rigorous scientific approach can enhance patient care. Moreover, there will be cause to be optimistic about the ability of future physicians to be even more accurate in their diagnoses and provocative in their discoveries if we as medical educators can inspire our students to embrace the scientific method in their everyday clinical and research practices. Put simply, as scientists, we make a set of observations, formulate a hypothesis to explain those observations, devise methods and experimental or scholarly approaches to test that hypothesis, evaluate data generated from our experiment to either validate or refute the hypothesis, and then generate a new or expanded hypothesis to further enhance our understanding of the process that is being studied. The same principles can be applied to patient care. A physician makes a set of observations of their patient's condition, formulates a diagnosis to explain those conditions, orders tests and further clinical evaluations to test that diagnosis, evaluates test results to either validate or refute their diagnosis, and finally applies that knowledge to treat the patient and advance their own understanding of the unique conditions in that individual patient to enhance their clinical diagnosis skills. Therefore, it seems obvious that direct experience in a research or scholarly project of their own design, particularly a longitudinal experience, would enhance a skill set beneficial to the physician, physician-scientist, and patient alike. Variable approaches may be appropriate to implement wide-scale scientific training in our medical schools. Major research-driven medical schools have sufficient basic and clinical faculty to accommodate a required medical student research project for either an uninterrupted year, as at Duke University School of Medicine, or a 4-year longitudinal experience that includes preliminary instruction in medical logic, research methodology, and analysis, as at the University of Pittsburgh School of Medicine. Modestly sized medical schools may still find opportunities for their students through creative engagement in community-based scholarly projects that still maintain the principles of scientific method (ie, hypothesis design and testing) or develop partnerships with medical schools with sufficient faculty resource to accommodate visiting students. As basic and clinical science faculty, we have an obligation to instill in our trainees at all levels, premedical, undergraduate medical, and graduate medical, the importance of the scientific method in navigating the complex world of human biology. Only then can we hope for this next generation of scientists, physicians, and physician-scientists to continue to advance the human condition. Disclosure Summary: The authors have nothing to disclose.

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)0,045
score de la tête « metaresearch » (Gemma)0,091
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Incitatifs · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,955
Score d'incertitude au seuil0,235

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0450,091
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0040,002
Études des sciences et des technologies0,0040,013
Communication savante0,0100,013
Science ouverte0,0030,014
Intégrité de la recherche0,0160,029
Charge utile insuffisante (le modèle a refusé de juger)0,0270,016

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 Opus0,253
Tête enseignante GPT0,518
Écart entre enseignants0,265 · 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.

Devis d'étudeSans objet
DomaineIncitatifs
GenreÉditorial

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

En bref

Citations42
Publié2014
Routes d'admission1
Résumé présentoui

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