American Medical Informatics Association (AMIA) 2020
November 14-18, 2020
9:00AM - 5:00PM EST
The AMIA Annual Symposium is a cumulation of more than 40 years of sharing pioneering research and insights in biomedical informatics. Semedy will be joining the event for the sixth time in a row for its first virtual edition. The program boasts an exciting agenda of professionals from diverse background committed to transforming health through informatics.
Semedy’s virtual booth will feature our unique Knowledge Management System (KMS) and its wide range of capabilities. Our demo topics give you an inside look on what we will offer to our visitors. If you are an attendee interested in a free demonstration for any of these topics, please request a time below.
Clinical & Research Metadata
Interoperable Patient Cohorts
Synthetic Patient Data
Meet our experts
Our on-site experts are happy to engage with any questions about knowledge sharing, knowledge flows and our digital solution. Here's who you can expect to find at AMIA2020.
AMIA would not be complete without a schedule full of exciting events curated especially for the biomedical informatics field. Browse the events where Semedy will be front and center, and book your place today.
INTEGRATING RESEARCH, CLINICAL DECISION SUPPORT, POPULATION HEALTH, AND QUALITY MEASUREMENT WITHIN A LEARNING HEALTH SYSTEM
Systems demonstration presented by Dr. Saverio Maviglia
November 16, 2020 | 2PM - 3:30PM EDT
Ideally, clinical decision support (CDS), population health management (PHM) interventions, and electronic quality measures (eCQMs) are based on scientific evidence about how a treatment or process affects a set of patients. A common element linking evidence to relevant CDS/PHM interventions and eCQMs is the specification of patients being targeted. The better that the inclusion/exclusion criteria of the research studies match those of the measure, and match the criteria of the CDS and PHM interventions, the more likely that the interventions will have scientific merit and will promote the goals of the measure. This system demonstration will highlight how a common approach to define patient cohorts is a key strategy to create a learning health system that integrates research, care, and quality efforts.