American Medical Informatics Association 2020
VIRTUAL
November 14-18, 2020
The AMIA Annual Symposium is a cumulation of more than 40 years of sharing pioneering research and insights in biomedical informatics. Semedy joined the event for the sixth time in a row for its first virtual edition. The program boasted an exciting agenda of professionals from diverse background committed to transforming patient care through informatics solutions.
Semedy’s virtual booth featured our unique Knowledge Management System (KMS) and its wide range of capabilities. Our team provided exciting demonstrations for the following topics, and many more.
Clinical & Research Metadata
Interoperable Patient Cohorts
Synthetic Patient Data
Laboratory Formulary
Pharmacogenomic Resources
Meet our experts
Our on-site experts are always. happy to engage with any questions about biomedical and health informatics knowledge sharing, knowledge flows and our digital solution. Here's who attended AMIA2020.
Harvard Medical School
ROBERTO ROCHA
MD, PHD
Roberto studied Medicine at the Federal University of Paraná in Brazil, and received a PhD in Medical Informatics from the University of Utah. He was formerly Clinical Informatics Director at Partners HealthCare in Boston, MA.
Biomedical Informaticist
KAREN BAVUSO
RN, MSN
Karen is a Registered Nurse with over 20 years of clinical experience. She received her Master of Science in Nursing degree with a speciality in health informatics from Duke University. Prior to joining Semedy as a Senior Biomedical Informaticist, she was a Clinical Informatician at Partners Healthcare in Boston.
Vanderbilt University
DOMINIK ARONSKY
MD, PHD
Dominik received his MD from the University of Bern, and his PhD in Medical Informatics from the University of Utah. He was a faculty member at Vanderbilt University and has over 25 years of experience with clinical information systems, clinical decision support and knowledge management.
Senior Biomedical Informaticist
MELINDA WONG
BSPHARM, RPH
Melinda is a Registered Pharmacist with over 20 years of clinical experience. She earned a Bachelor of Science degree in Pharmacy from the University of Rhode Island. She has been in the clinical informatics industry for over 7 years specializing in knowledge management and clinical decision support. She also has experience with healthcare terminology standards, clinical data modeling, and data management.
Harvard Medical School
SAVERIO MAVIGLIA
MD
Saverio graduated from Harvard Medical School, where he is an Assistant Professor, with a specialization in clinical informatics, knowledge management and clinical decision support. He also continues to practice medicine at Brigham and Women's Hospital.
Biomedical Informaticist
EMILY CHAN
PHARMD
Emily graduated from Northeastern University with a Doctor of Pharmacy. After working at Boston Children's Hospital for 10 years, she joined Semedy as a Biomedical Informaticist. She specializes in knowledge management and clinical decision support .
Events
AMIA would not be complete without a schedule full of exciting events curated especially for the biomedical informatics field. Browse the events where Semedy featured as front and center.
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.