ASME_PVP_course_brochure_
Monday, September 24 | 01:45 PM – 03:15 PM
Location: Cedar Ballroom, Second Floor
Category: Data Review
Presentation
LET’S DTQR: DEFINE THE QUALITY RELATIONSHIP OF DATA MANAGEMENT WITHIN CLINICAL TRIALS
Focus and emphasis of quality control throughout data management processes. Diverse presentations across key areas of concern for data management including but not limited to data integrity, defining quality and best practices. At the conclusion of each presentation interaction will be encouraged through a question and answer session as well as open discussion. The forum to present information and have active conversation around methodology and best practices. Possibility of exercises upon conclusion of presentations to promote communication and ensure the understanding of what has been presented.
Session Chair: Sara Doolittle, Premier Research
Speakers:
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- A Relationship Story; Data Management & Quality Control
Cecilia Calcagno, Lead Data Manager, PRA Health Sciences
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- A Key Relationship Trait; Integrity
Melonie Longan, Director, Data Operations, Functional Services,Premier Research
Charity Conner, Associate Director, Data Management, Alkermes, Inc.
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- A Relationship Check-In; Metrics
Nigel Freemantle, BSc, MS, C.Stat., Operations Director, Global Data Management & Standards, Merck Sharp & Dohme Corp.
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- • Relationships Experience & Moving Forward
John Manlay, MS, Director Clinical Data Sciences, Pfizer, Inc.
Muzafar Mirza, Director Clinical Data Sciences, Pfizer, Inc.
Learning Objectives:
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- Ability to define what quality is
- Understanding the importance of quality in research
- How to apply use metrics to gauge quality
- Why quality is a key responsibility for data management roles
Session Level: Intermediate – Assumes comfort within CDM industry; 1-3 years’ experience
CDM Certification Competencies: Quality within Clinical Trials
Target Audience: Data Managers, Management