News | Oncology Diagnostics | August 07, 2018

Metro Health-University of Michigan Health Partners With Eon to Improve Lung Cancer Care

Cloud-based deep learning software platform EonDirect will streamline care and improve management of lung cancer screening patients

Metro Health-University of Michigan Health Partners With Eon to Improve Lung Cancer Care

August 7, 2018 — Metro Health-University of Michigan Health announced it is partnering with healthcare data company Eon to improve the management of lung cancer screening and pulmonary incidental nodule patients with EonDirect. EonDirect is the first cloud-based software powered by deep learning and machine automation to seamlessly interface with hospitals' electronic medical records (EMR) and picture archiving and communication systems (PACS) to deliver meaningful, actionable data to healthcare providers.

Historically, Metro Health's pulmonary department — primarily the nurse navigator — tracked lung cancer screening patients with manually-entered data in a spreadsheet. They then used keyword recognition to flag patients with potential abnormal findings. However, this method yielded many false positives and required staff to examine each record to determine if the patient needed follow-up.

Metro Health sought to partner with Eon after seeing the company's approach to data analytics in lung cancer screening and incidental nodule management.

"We saw a volume increase in our lung cancer screening program as our education outreach efforts in the community ramped up, but managing the program manually was not sustainable or effective," said Peter Hahn, M.D., chief medical officer at Metro Health. "By implementing EonDirect, we will be able to grow our lung cancer screening and incidental pulmonary nodule programs, with high expectations that both will result in earlier detection of lung cancer, when it is more likely to be curable."

EonDirect, Eon's flagship software platform, seamlessly navigates patient data through the entire care continuum from intake to diagnosis. It leverages artificial intelligence (AI) and machine automation to identify abnormal findings, stratify patients into different risk categories, auto-populate registry data and automate routine tasks such as letter batching, among other tasks. The result is more timely and accurate cancer diagnosis, improved clinical workflow and reduction in staff time on data entry tasks. EonDirect's Lung Expert application is proven to have 98 percent accuracy in diagnosing lung nodules. That accuracy translates into abnormalities identified faster and without the possibility of human error, so treatment can begin sooner.

"Similar to mammography and the early years of breast screening, lung cancer screening is still in its infancy," said Srinivas Mummadi, M.D., pulmonologist and informaticist at Metro Health. "We know early detection of any cancer saves lives, and EonDirect's ability to automatically identify and register lung cancer screening and pulmonary incidental patients will allow Metro Health to follow these patients more effectively and ensure they receive the proper follow-up. Data shows incidental patients only receive the recommended follow-up 30 percent of the time. Could you imagine if we only followed 30 percent of women with a breast lump?"

For more information: www.eonhealth.com

Related Content

Intelerad Expands Cloud-based Managed Services Offering Worldwide
News | PACS | October 23, 2019
Intelerad Medical Systems announced the worldwide expansion of its Nuage Cloud Managed Services offering. Medical...
Barco Receives Frost and Sullivan Award for Technology Leadership in Medical Displays
News | Flat Panel Displays | October 23, 2019
Healthcare imaging specialist Barco received the 2019 Frost & Sullivan Award for Technology Leadership in the Multi...
NVIDIA and King's College London Debut First Privacy-preserving Federated Learning System

Image courtesy of NVIDIA

News | Artificial Intelligence | October 23, 2019
To help advance medical research while preserving data privacy and improving patient outcomes for brain tumor...
Dicom Systems Receives U.S. Patent for Medical Data Integration Engine
News | Enterprise Imaging | October 22, 2019
Dicom Systems announced that the U.S. Patent and Trademark Office (USPTO) has issued U.S. Patent 10,437,877 B2 to...
Major Radiology Organizations Publish Ethics of AI in Radiology Statement
News | Artificial Intelligence | October 22, 2019
Experts in the use of artificial intelligence (AI) in radiology, from many of the world’s leading radiology, medical...
GE Healthcare and Premier Inc. Developing One-stop Breast Clinic Model for U.S.
News | Mammography | October 21, 2019
GE Healthcare and Premier Inc. have announced a collaboration to develop a model to bring a same-day breast cancer...
Laurel Bridge Software Celebrates 20th Anniversary
News | Enterprise Imaging | October 21, 2019
Laurel Bridge Software recently celebrated its 20th anniversary of helping healthcare providers and original equipment...
Densitas Breast Density Assessment Software Joins Nuance AI Marketplace
News | Breast Density | October 21, 2019
Densitas Inc. announced that its U.S. Food and Drug Administration (FDA)-cleared densitas densityai breast density...
FDA Clears AiCE Image Reconstruction on Canon's Aquilion Precision CT

Image courtesy of Canon Medical Systems

Technology | Computed Tomography (CT) | October 21, 2019
Canon Medical Systems USA Inc. has received U.S. Food and Drug Administration (FDA) 510(k) clearance on its Advanced...