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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.

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Clinical & Research Metadata

Interoperable Patient Cohorts

Synthetic Patient Data

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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. 

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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.

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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.

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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.

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