Carestream Demonstrates Artificial Intelligence, Imaging Analytics Tools for Clinical Collaboration Platform at HIMSS
Software Designed to Boost Quality and Speed as Part of Radiology Reading and Reporting Workflow
ROCHESTER, N.Y., Feb. 21 — Carestream Health will demonstrate advanced artificial intelligence and imaging analytics software tools that are designed to enhance both the quality and speed of diagnosis and reporting for radiology imaging exams at the HIMSS 2018 tradeshow (Booth #4829).
Carestream currently incorporates third-party algorithmic results for osteoporosis, lung emphysema, coronary calcification and fatty liver as part of its Clinical Collaboration Platform (video).
“With the many challenges facing medical imaging at hospitals of all sizes, achieving a balance between quality and cost is essential. By using an algorithm-enabled Radiology Assistant, users can boost diagnostic confidence while simultaneously improving productivity and containing costs,” said Thierry Verstraete, Carestream’s Global Product Manager Clinical Solutions & Analytics.
The Radiology Assistant, using the Coronary Calcium Scoring (CCS) algorithm (pending 510(k) Clearance), provides detailed findings with key diagnostic images available to radiologists a few minutes after image acquisition.
“Artificial intelligence can calculate and provide incidental findings, critical findings or quantitative assessments to help streamline radiologists’ reading workflow and allow early treatment that can reduce the impact of a disease or condition. Early treatment also mayreduce the increased financial burden for patients, governments and healthcare providers that will come with these complications,” Mr. Verstraete explains.
As part of its Clinical Collaboration Platform, Carestream’s Workflow Orchestrator directs the study to the best radiologist for each case based on subspecialty, location and affiliation.
The Workflow Orchestrator fabric contains a vast array of sensors that generate data on a continuous basis. Carestream recognizes the need for self-improving systems where algorithms can continuously process these same insights and propose various system configuration adjustments with improved predictions for quality and productivity.
“Our goal is to offer the tools radiologists need to make an accurate diagnosis while also delivering a radiology report that accurately communicates diagnostic information to physicians,” said Mr. Verstraete. “A diagnostic report can only be considered great if the referring physician thinks it is.”