Jun 10, 2022
In this episode, hosts Mohannad, Prasanth, and Jason interview
Teri Sippel Schmidt and Dr. Raym Geis about the Clinical Data
Informatics initiative at SIIM. At its heart Clinical Data
Informatics focuses on the use of tools such as Machine Learning
algorithms, systems engineering, and medical imaging in
sophisticated ways to derive insights and drive decision making for
both clinical and business cases. Our guests introduce the series
of videos developed in collaboration with SIIM. The discussion
looks at the unique intersection of these disciplines and the need
for a deep and broad understanding to create robust processes.
Since January 2022, the team has provided educational videos from a
curated group of CDI faculty to better understand the fundamentals
of medical practice, imaging data, and data science.
Teri Sippel Schmidt is an Adjunct Professor at Johns Hopkins
Medicine and Marquette University. She serves on multiple boards at
SIIM. She is a frequent guest of the podcast and has been very
active in the Hackathon Competition at the annual conference,
serving as both team leader and mentor to aspiring imaging
informaticists.
Raym Geis MD is a radiologist (semi-retired), interested in
radiology data, standards, MLOps, and ethics of new data science
approaches for medical imaging. He serves as Senior Scientist at
the ACR Data Science Institute, Adjunct Associate Professor of
Radiology at National Jewish Health, and Clinical Assistant
Professor of Radiology at the University of Colorado School of
Medicine. He is a member of the ACR Data Science Institute Advisory
Group and the Canadian Association of Radiologists’ Artificial
Intelligence Working Group, co-originator of the RSNA/SIIM National
Imaging Informatics Curriculum and Course (NIIC-RAD). He was
previously Chair of the Society for Imaging Informatics in Medicine
(SIIM) and Vice-Chair of the ACR Informatics Commission and is a
Fellow of both societies.
Information on the video series is available here: Clinical Data Informatics
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Special Thanks to @RandalSilvey of http://podedit.com for editing
and post processing support.