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Free Audio Conference On Data De-Identification   Message List  
Reply | Forward Message #450 of 641 |
This will be a non-promotional conference which will discuss many options for
de-
identification, including open-source software options.

Data De-Identification As a Critical Success Factor in Quality Performance,
Clinical and
Population Research

DATE AND TIME OF CONFERENCE:
Thursday April 12, 2007 12:00 noon – 1:00 p.m. EST

DESCRIPTION OF AUDIO CONFERENCE:
Protecting the patient privacy and confidentiality is a major issue when
planning data
repositories for quality, clinical and population research and developing
searchable
databases and rapid learning health systems. Regardless of primary data sources
--
whether transcribed reports, databases or electronic medical records with
free-text fields
-- de-identification of medical records and patient data is required. Whether
you are a
quality manager, clinical or public health researcher, an informatics
professional or even
an IRB seeking a HIPAA-compliant solution, rapid, reliable, accurate and
cost-efficient de-
identification is a new mandatory to advance research and rapid learning systems
while
ensuring patient privacy.

Join the panel of speakers to explore experience with choosing and using
de-identification
systems to expand data access and leverage and manage data assets to create data
warehouses and repositories that assure patient privacy. Hear about the process
of
choosing a de-identification methodology and how they are integrated into
clinical and
research workflow.

WHO SHOULD ATTEND:
Clinical & Public Health Researchers; HIS Professionals; IRB Members; Chief
Information
Officers; Chief Technology Officers; Clinical IT Professionals; Bioinformatics
Professionals;
Compliance/Security Officers; Transcription Vendors; Electronic IS Vendors

SPEAKERS:
• Melissa Saul, Director, Clinical Research Informatics, and Adjunct Professor,
University of
Pittsburgh
• Rebecca Crowley MD, Assistant Professor of Pathology, University of Pittsburgh
Medical
Center, Department of Pathology (Project Lead for NCI's caBIGTM project,
incorporating
caTIESTM)
• Juggy Jagannathan, PhD, Professor, Computer Science, West Virginia University
& VP
Research, MedQuist
• Steven Merahn, MD, Chief Medical Office, De-ID Data Corp

COST: NO CHARGE
To register, log on to www.de-idata.com and click the AUDIO CONFERENCE link on
the
home page, or email Dee Lang at dee@...




Wed Apr 4, 2007 11:35 am

smerahn
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Message #450 of 641 |
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This will be a non-promotional conference which will discuss many options for de- identification, including open-source software options. Data...
smerahn
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Apr 6, 2007
12:04 pm
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