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Milwaukee, WI, United States, 2009/01/19 - This webinar series will address current major trends which are impacting U.S. healthcare and how these will be influencing the way clinical trials are conducted in the future.
This is the first webinar in the Career Development Sequence presented by SCDM.
• Thursday, January 29 – Part I
• Thursday, February 5 – Part II
11:00 a.m. – 12:30 p.m. (Central Time)
60 minute presentation followed by 30 minute interactive Q&A
Steven Schwartz will discuss the trend toward EHR (electronic health records) and the impact of its growing adoption on clinical trials and research. Mark Uehling will probe what the issues are, the importance of the trends, and how foreseeable changes will effect and empower professionals working in the field of clinical data trials.
Stephen P. Schwartz, PhD, is Senior Vice President of Corporate Business Development at Allscripts, the largest combined EHR and Physician Practice Management Company in the United States.
Mark Uehling, is the founding editor and publisher of Clinpage. He is an award-winning technology journalist and the former editor of BioIT World’s eCliniqua newsletter.
CEOs, chief learning officers and trainers, clinical data managers, managers of data groups, quality control and quality assurance statisticians, biostatisticians, and project managers working within the clinical trials industry.
Continuing Education Credit Opportunity
Attendees are eligible for CEUs upon attendance and successful completion of assessment questions. SCDM is authorized by IACET to offer .2 CEUs for this program.
The Career Development Series will continue through the year with webinars on the following topics: Data Manager to Data Leader, Emerging & Established Standards and Patient Reported Outcomes. In addition to the Career Development Series, there will be a Certification Series on topics covering Data Management and Oncology Trials, Data Query Processing and Tracking, Electronic Data Capture, Database Validation and Surviving an Audit and Project Management for Data Management.