BBCIC News & Events
Below are links describing the science behind data consortiums, and why the BBCIC is engaging data consortium, managed care specialty drug experts, researchers and industry in the BBCIC.
Newsletter
Press Events
- BBCIC Announces New Consortium Members Apobiologix and Sandoz
- BBCIC October 27 Press Event
- Pink Sheet: Sentinel For Biosimilars? Biologics Post-Market Monitoring Is Focus Of New Consortium
Presentations and Background Papers
- BBCIC presents a public statement at the February 9 FDA Arthritis Advisory Committee
- JMCP Biosimilar Task Force Report: Utilizing Data Consortia to Monitor Safety and Effectiveness of Biosimilars and Their Innovator Products
- Defining Biosimilars and Their Effect on Healthcare: Anticipated Complications, Possible Solutions, and the Need for Pharmacovigilance presentation by Steve Miller, MD.
- Biosimilar Collective Intelligence System: Utilizing Data Consortiums to Prove Safety and Effectiveness of Biosimilars presentation by Jeffrey Brown, PhD.
- The EDM Forum Approach to Overcome Traditional Barriers in Using Electronic Data Sources for CER and QI presentation by Gurvaneet Randhawa, MD, MPH.
- Data Consortiums: Answering Tomorrow's Questions Today presentation by Diana Brixner, PhD
- Development and Management of a Distributed Research Network for Evaluating Real-World Outcomes for Originator Biologics and Biosimilars
- ICD-9 to ICD-10 Mapping for Database Research in Originator Biologics and Biosimilars
- Descriptive analysis of the use of long- and intermediate-acting insulin, and key safety outcomes in adults with diabetes mellitus
- Evaluating Biologics and their Biosimilars Using a Distributed Research Network to Demonstrate Real-World Outcomes
- Differentiation of adults with type 1 versus type 2 diabetes in administrative claims analysis: experience from the Biologics and Biosimilars Collective Intelligence Consortium
Webinars
- Sentinel Initiative 2015 Public Workshop
- AMCP's March 10, 2014 Webinar titled, Biosimilars Surveillance: Applying the Science of Proven Data Consortium Models.
Papers
