Clinical Trial Design for Optimal Patient Recruitment and Retention
Track
:
Track 01: Clinical Operations
Program Code:
300
Date:
Wednesday, June 26, 2013
Time:
8:00 AM to 9:30 AM
EST
Location:
205C
CHAIR
:
William W. Gwinn, JR, MBA (SCHNON), Vice President, Clinical Informatics Solutions, OptumInsight, United States
Bill Gwinn is Vice President of Clinical Informatics Solutions at OptumInsight, an information subsidiary of UnitedHealth Group, the nation's largest medical insurer. Bill supports clinical trials with medical statistics and other information. Metrics offer better planning for faster trials.
SPEAKER
(S):
Sarah Luijpers, PMP (SPKNON), Director, Global Recruitment Operations, Forest Research Institute, United States
Dir., Global Recruitment Ops at Forest Labs. With +20 yrs exp. in pharma industry, Sarah has PMP certification & Six Sigma w/Lean Black Belt, & has held positions n the lab setting as well as in Clin Ops & Clin Research (Ph. I – Ph. IV), Bus. Devel. & PM w/emphasis on project, process & people mgt.
Damon Michaels, (SPKSUP), Director, Clinical Trials Research, Vanderbilt University Medical Center, United States
Damon Michaels is currently the Director of Clinical Trials Research for the Perioperative Clinical Research Institute (PCRI). Their research includes both Industry-sponsored and Investigator-Initiated clinical projects that focus on perioperative care, chronic pain and medical devices.
Pete Fronte, MBA (SPKNON), President, Altura, United States
Mr. Fronte has been a catalyst for expanding clinical research into the primary care and organized healthcare settings. He is driven to accelerate patient recruitment via proven and innovative methods which include the utilization of various forms of electronic health data such as EMR
Description
This session will bring together representatives from health information, sponsor, pharmaceutical manufacturing and academic organizations to show how to use medical statistics for better planning and faster clinical trials. We will cover national tools and best practices for using data.