20 AMA PRA Cat-1 Credits CME-course on Routine Healthcare Delivery of Precision Medicine is organized by Persona Biomed, Inc. and will be held from Mar 11 - 13, 2020 at Carr Workplaces - Alexandria Office Space, Alexandria, Virginia, United States of America.
Accreditation:
The George Washington University School of Medicine and Health Sciences designates this live activity for a maximum of 20.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Overview:
• Deliver differentiated awareness and knowledge of the key challenges affecting the adoption, implementation, and commercialization of Precision Medicine as an effective model of healthcare.
• Equip medical & health sciences practitioners with unique Precision Medicine tools and training with tremendous potential to improving their patient diagnoses, outcomes, and monitoring.
• Support Precision Medicine stakeholders with academic, scientific, and commercial partnerships aimed at demonstrating Precision Medicine best practices on a global scale.
• Offer healthcare professionals our unique learning platform, focused on Precision Medicine implementation and commercialization, that is AMA-certified as Continuing Medical Education.
Themes:
• Background and New Trends in Precision Medicine
• Precision Medicine Adoption, Regulation and Outcomes Monitoring
• Economics and Business Models of Precision Medicine
• Clinical Case Studies in Precision Internal Medicine
• Clinical Case Studies in Precision Cancer Medicine
Panels:
• Concepts and methods of Molecular Medicine.
• Signature genes and molecules to each patient’s mechanism of disease and response to environmental factors, food and drugs.
• Translating genomic data into clinical practice for healthcare improvement.
• Complementary and companion diagnostic tests tailoring diagnosis and therapy to each patient.
• Precision Medicine delivery models cost effectiveness and metrics.
• Human resources, technologies, and infrastructures of Precision Medicine.
• IT and digital health impacts on Precision Medicine outcomes.
• Artificial intelligence, interactive simulation and point of care technologies in Precision Medicine.
• Companies developing clinical technologies and providing clinical services in recision Medicine.
• Marketing and commercialization models; reimbursement/non-reimbursement markets.
• The economic models of Precision Medicine, including sustainable and scalable business.
• Blockchain technologies in the logistical management of Precision Medicine data.
• Clinical cases on immune-inflammatory, endocrine-metabolic, and neurodegenerative disorders.
• LDTs identifying changes that occur at key pathogenic pathways of the patients will help to tailor diagnosis and therapy to each patient’s disease using molecular and genetic data.
• Most prevalent malignancies in lung, colorectal, breast, prostate and skin will be used to show how molecular biomarkers and genomic data from the tumor and the tumor microenvironment are associated with aggregated pathophysiological data to refine diagnosis and personalize therapy.
Learning Objectives and Outcomes:
• Precision Medicine models of healthcare
• Clinical use and interpretation of LDTs for enhanced diagnosis and therapy of patients.
• Laboratory and information technologies and their regulatory environments in healthcare.
• Precision Medicine business models, marketing, commercialization and reimbursement.
• Concepts and main ethical, legal, economic, social and operational issues around how molecular biomarkers, genomic data, aggregated clinical data, and patient-reported data are being brought to bear on predicting disease susceptibility, refining diagnoses and personalizing treatments.
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