Time Series Analysis of 30-Day Readmission Rates: Health Care Innovation – Bridging the Divide
Application of times series methods to 30-day readmission rates of PCI patients in the BRIDGES database. Methods include interrupted time series, cross-correlation and Granger causality.
Dr. Paul Kolm, DAC-CTR Associate Director, is Director of Biostatistics at Christiana Care Health System, and Research Professor of Medicine at Thomas Jefferson Medical College. He has been and is a co-investigator and lead biostatistician on several NIH- and industry-funded research projects. Dr. Kolm is a statistical editor for the Journal of the American College of Cardiology and a member of the American Heart Association Epidemiology, Prevention, Outcomes and Behavioral study section. He has considerable experience in the application of general and generalized linear and hierarchical models, classification and tree regression, time-to-event analysis, multivariate analysis, cost-effectiveness analyses, and multiple imputation methods for missing data.
The Innovative Discoveries Series, sponsored by the Delaware Clinical & Translational Science ACCEL program and the Christiana Care Value Institute, features informal presentations on topics relevant to current research and healthcare practice, led by knowledgeable and experienced presenters. There are offerings for researchers, healthcare providers, and community members of varying levels of experience.
These free talks are held Fridays at noon at Christiana Hospital but can be viewed from your home or office computer. Earn CMEs by participating in-person or online. Lunch is served and all are welcome to attend.
To see the full calendar of events, visit the Value Institute Events page or the ACCEL website, or subscribe to the ID Series mailing list.
Contact Sarahfaye Dolman at sarahfaye.f.dolman@christianacare.org with any questions.