Press Release
September 20, 2017

Identifying Asymptomatic Conditions Can Lead to Preventative Care That Benefits Patients and Lowers Costs

ROCHESTER, N.Y., Sept. 20 — Carestream Health is demonstrating advanced imaging analytics software tools designed to enhance value in the delivery of medical care as part of its Clinical Collaboration Platform (video) at the SIIM Machine Learning Showcase being held Sept 26-27 at Johns Hopkins Hospital in Baltimore, Md.

“The practice of medicine is changing and there is a new emphasis on the delivery of care in a manner that enhances both value and quality at a reduced cost,” said Thierry Verstraete, Carestream’s Worldwide Product Line Manager for Healthcare IT Clinical Solutions & Analytics.

“Artificial intelligence can enhance detection of diseases before symptoms appear and help radiologists provide accurate interpretations as part of a streamlined, efficient workflow. These tools can improve patient health and help reduce the risk of costly medical errors,” Verstraete explains.

Carestream software incorporates artificial intelligence, including advanced machine vision algorithms from a third-party provider, to help detect abnormalities on imaging examinations in real time. When the software detects medically important findings, it alerts radiologists. This allows imaging studies to be screened for conditions that may be asymptomatic, such as osteoporosis, emphysema, coronary artery calcifications and abnormal fat deposition in the liver.

Software tools and natural language processing allow radiologists to quickly prepare interactive multi-media radiology reports, which present vital clinical information to the medical care team, and to extract structured information for the medical record to help enhance population health.

Carestream’s new automatic workflow orchestrator prioritizes cases for interpretation and these cases are directed to radiologists with specialized training in the suspected disease or condition. The new software also triages examinations, by using artificial intelligence to help identify studies with medically urgent findings.

“Together these innovations increase both efficiency and clinical value in the provision of medical care,” Verstraete said.

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