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Clinical Data Quality Summit

Source: DIA
These and other important questions will be answered during breakout sessions designed to provide both a global perspective of best practices as well as award-winning techniques for promoting quality in clinical research.
Details

Click Here To Download:
Event Brochure: Clinical Data Quality Summit

Date(s) And Time(s):
Mar 16 2011 8:00AM - Mar 17 2011 4:00PM

Interest Area(s):
Clinical Data Management/ eClinical,Clinical Research,Medical Writing,Outsourcing,Project Management,Quality Assurance/Quality Control,Statistics

Overview:
Location: Sheraton National Hotel, Arlington, VA

CALL FOR ABSTRACTS — DEADLINE: NOVEMBER 15, 2010

  • What is clinical data quality?
  • Should we strive for maximum quality or is there an optimum?
  • Should quality be related to purpose?
  • Is quality in one area more important than in another?
  • What is the consequence of that?
  • What are the current tools and technologies that impact data quality?

These and other important questions will be answered during breakout sessions designed to provide both a global perspective of best practices as well as award-winning techniques for promoting quality in clinical research.

One of the most important challenges to quality drug development is the ability to implement best practices for quality – from the point at which the protocol is designed through the filing of a package, update, or submission to regulatory agencies. As more technologies are being used, it is critical that all parties come together to ensure the effective management of clinical trials. Data managers, statisticians, sites, monitors, and regulators must be partners in clinical research that delivers quality data. This multidisciplinary summit will review the case for quality in such areas as patient care, clinical records, protocol design, standards, e-clinical systems, policies, and clinical data.

This program has been developed by the eCLINICAL and CLINICAL DATA MANAGEMENT Special Interest Area Communities.

Learning Objectives:
At the conclusion of this conference, participants should be able to:

  • Describe current tools and technologies that impact data quality
  • Discuss best practices to ensure successful design of studies, while embracing standards
  • Identify who to include during the study start up phase to ensure that all elements are addressed
  • Explain how research professionals can work effectively together during the conduct of a clinical trial
  • Identify steps that can be taken to successfully clean and lock a database by establishing partnerships with clinicians and biostatisticians
  • Discuss regulatory expectations for quality data and recommendations for study start, conduct and closeout?

Target Audience:
WHO SHOULD ATTEND

  • Data managers
  • Clinical project managers
  • Clinical research coordinators
  • Principal investigators
  • Data standards personnel
  • Site monitors
  • Quality assurance personnel
  • Regulators
  • Clinical programmers?

Click Here To Download:
Event Brochure: Clinical Data Quality Summit


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