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Recent years have seen the focus of healthcare shift from service delivery to patient outcomes. In radiology, the spotlight on improving the quality of patient care has also drawn attention to the relationship between radiologists and referring physicians.
When physicians know their patients receive high-quality care from a particular radiologist, they’ll refer to that radiologist again. If they believe the radiologist did not provide adequate care, they’ll direct their patients somewhere else.
But the way and extent to which radiology recommendations and diagnoses are captured differs between organizations. Processes used to communicate this information vary as well. Often too, the radiologist has no oversight of a patient’s care pathway following a scan. All of this leads to communication gaps between radiologists, referring physicians and ultimately patients.
For this discussion, we have brought together leaders in radiology workflow and patient care to explore questions like: What can be done to strengthen communication between radiologists and referring physicians? And what role can AI and NLP technology play in supporting this?
Nina Kottler, MD, MS
Associate Chief Medical Officer, Clinical AI at Radiology Partners
Nina Kottler, MD, MS is a radiologist with over 15 years of experience in emergency radiology. With a background in applied mathematics and optimization theory, she has been using imaging informatics to improve quality and drive value in radiology. Nina is the associate CMO for Clinical AI and VP of Clinical Operations at Radiology Partners (RP). She leads RP's Data Science and Analytics division and oversees clinical AI for the practice.
Kevin Seals, MD
Attending Physician at Olive View, UCLA Medical Center
Kevin Seals, MD, is a physician with background in bioengineering and expertise in medical imaging and machine learning. Dr Seals built the first radiology chatbot using deep learning, to help physicians make smarter choices and take better care of their patients.
Omri Sivan
Co-founder & CTO at Agamon Health
Omri Sivan heads up Agamon Healths data science team. He has led the development of Agamon Health's proprietary Deep Learning and Natural Language Processing technology, and overseas ongoing work to train and further develop the models that power solutions like Agamon Coordinate.
Jim Anderson, MD
Professor of Neuroradiology at Oregon Health & Science University (OHSU)
After spending 4 years in private practice following Radiology residency, Dr. Anderson, MD, found his passion for teaching, mentoring, and Neuroradiology at Vanderbilt University. He served on the ACGME Radiology Review Committee for 8 years, 5 of which as Chair. He now is Vice-Chair of Education for the Department of Radiology and Assistant Dean of Graduate Medical Education for OHSU. His interest in technology and AI is centered on improving efficiencies in workflow and education.
Agamon Coordinate makes it easy to coordinate radiology follow-ups, increase follow-up adherence and personalise patient care. Ready to streamline workflow, reduce liability risks, increase revenue and deliver better quality care? Book a 15 minute call to learn how our technology can support you.