Healthcare faces mounting demands to share data with others and ensure stronger patient privacy for quality of care, research and public health surveillance. The national drive to develop electronic medical records (EMRs) is only intensifying the need to assure patient data remains confidential.
One important approach for sharing patient data while protecting privacy is de-identifying medical records - a strategy encouraged by HIPAA.
Despite a slow start, new approaches for data de-identification have emerged that will help healthcare organizations accomplish their goals of improving quality of care, promoting research and protecting privacy. Data de-identification also is becoming popular with Regional Health Information Organizations, the test beds for EMRs.
New Opportunities and Approaches for Patient De-Identification in Healthcare can help healthcare organizations understand and take advantage of new opportunities in de-identification.
This 90-minute seminar explains new approaches to de-identifying records for research, public health activities, EMRs and healthcare administration, including free open-source software.
Participants will be briefed on:
- The latest regulatory and legal developments governing data de-identification;
- Free open source software created at Harvard that may provide an affordable way to share patient data for research;
- New methods for record linkage after de-identification;
- How data de-identification reduces compliance problems;
- Key decisions in developing de-identified records programs;
and more.
Who Should Attend
- Healthcare Payers, Providers and Clearinghouses
- Researchers
- IRBs
- Privacy & Security Officers
- Biomedical Product Manufacturers
- QA Professionals
- EMR Professionals
- Health Data Exchanges
- HIM Professionals
- Public Health Officials
- Healthcare Attorneys & Consultants
The Faculty
- Peter Swire, Clinton Administration's Chief Counselor for Privacy and C. William O'Neill Professor of Law, Moritz College of Law, the Ohio State University
- Jeff Jonas, Chief Scientist and IBM Distinguished Engineer, Entity Analytic Solutions, Software Group, IBM
- Dr. Bruce Beckwith, MD, Harvard Medical School
