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2012 CORE Summit
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2011 CORE Summit
 
Pre-Conference Workshops  March 29, 2012, 2-5 pm
Fifth Floor 

 

WORKSHOP I

What is registry – definition, method, and implication to government, industry and academia?

Course Description:

Registry is an important component of clinical research. It is one of the most reliable approaches for the evaluation of disease progression, clinical outcomes of a medical intervention, diagnosis and treatment patterns, and safety surveillance of a medical product, in a non-interventional and real world setting. A registry could be disease specific, intervention specific, or time and setting specific. Registry of a newly marketed medical product, device or drug, is most likely required by the regulatory agency to ensure the safety and effectiveness of the product in broader patient population than in pre-marketing testing. The datasets created from a registry provides insight to government, manufacture, and clinicians on healthy policy, business strategy and medical decision. This course is to provide audience an overview on definition, methodology, and implication of various types of registries through case studies with real life landmark registries that were conducted in China and other countries. This course will also introduce the China Chronic Disease Registries organized by Chinese Medical Doctor Association.

Who should attend?

  • Science and business leaders of manufactures (medical device, pharmaceuticals, other health care products)
  • Clinicians and clinical research investigators
  • Hospital administrators and quality assurance department
  • Hospital IT department
  • Academic clinical researcher
  • Leaders of contract research organization
  • Data miner, data manager, and biostatisticians of clinical research organization
  • Policy makers for government agency

 What will one learn?

 After attending the workshop, the participants are expected to learn:

  • For industry: How and when to conduct a registry in order to better understand its own product as well as clinical dynamics;
  • For clinicians: The roles and responsibilities for participating in a registry as an investigator, how to initiate a disease registry, and how to integrate the results gained from a registry into other medical evidence;
  • For academia: How to better interpret and synthesize registry datasets
  • For government: FDA initiatives on international registries


Course Instructors:

DanicaDanica Marinac-Dabic, MD, PhD, Director, Division of Epidemiology
Office of Surveillance and Biometrics, Center for Devices and Radiological Health,  US Food and Drug Administration



 Art_SArt Sedrakyan, MD, PhD,
Director, Patient-Centered Comparative   Effectiveness Program, Weill Cornell Medical College and New York Presbyterian Hospital


Danyi_ZhangDanyi Zhang, MD
,
President and Chief Medical Officer
VitalStrategic Research Institute



WORKSHOP II

Achieve Greater Efficiencies with Electronic Data Capture (EDC)

Course Description:

Increasingly, investigator site staff, academic and not-for-profit clinical research centers as well as small- and mid-size pharmaceutical and biotechnology companies are looking to leverage EDC and clinical data management systems to improve the efficiency of their clinical trials—whether it's to gain earlier access and visibility to data, shorten time to database lock, or deploy adaptive clinical trials. However, selecting the right EDC solution can often be challenging.


 Topics: 
  • Evaluating your organization’s needs in eClinical studies
  • Mitigating unnecessary risks by leveraging EDC
  • Ranking and vetting solutions in order to make the right decisions for your organization
  • Enabling sites and sponsors to see more comprehensive real-time patient data, leading to more efficient monitoring of subject data
 Who should attend?

Individuals in these functional areas: Research & Development, Clinical Development, Clinical Research Informatics, Clinical Affairs, Clinical Operations, Data Management.


 Course Instructors:

 daniel Daniel Liu, PhD
  Director, China Development
  Medidata Solutions Worldwide Speakers



 Patrick_ChassaignePatrick Chassaigne,
 Director, Late Phase Solutions, Medidata Solutions Worldwide




 Lily Zhao
 
Director, Data Management
 TigerMed-MacroStat  



 Zhiyang Chen
 
Manager, China Development, Medidata Solutions Worldwide





WORKSHOP III

What do you need to know about modeling in outcomes research, health economics, and disease simulation?

Topics:
  • What is the difference between real-world clinical outcomes research and randomized controlled clinical trial from the prospective of modeling?
  • How to deal with the issue of multiple confounding factors,  especially application of propensity score in outcomes research?
  • Properties of instrumental variables in real world setting and application of statistical decomposition methods to estimate heterogeneity of treatment effects
  • What is health technology assessment (HTA)? What kind of methodologies are used in HTA modeling?  How to interpret the results from a cost-effectiveness analysis?

Who should attend?
  • Clinicians who involve with clinical trials and observational research
  • Industry personnel in clinical research, medical affairs, outcomes research, health economic, and epidemiology research
  • Academic researchers or personnel working in CDC, SFDA, and other chronic disease management institutions
Course Instructor:

Szhansiyaniyan Zhan, M.D, Ph.D, Professor and Deputy Director, Department of Epidemiology and Bio-statistics, Peking University Health Science Center



ChenfenFeng Chen, Ph.D.
School of Public Health, Nanjing Medical Universit




 Jieling Chen, PhD
 Senior Health Economist, Merck Research Laboratories





Bill_CrownWilliam Crown, PhD.
President HEOR and Late Phase Research, Life Science
 
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