News | Artificial Intelligence | February 07, 2022

Partnership with Rad AI will improve patient outcomes and collaboration amongst health systems, radiologists, and outpatient providers

Rad AI, a fast-growing radiologist-led AI company, announced that it has finalized a partnership with Cone Health, a not-for-profit healthcare network serving patients in Guilford, Alamance, Rockingham, Forsyth, Randolph, and surrounding counties in North Carolina, to leverage and enhance Rad AI's Continuity platform for care coordination.

February 7, 2022 — Rad AI, a fast-growing radiologist-led AI company, announced that it has finalized a partnership with Cone Health, a not-for-profit healthcare network serving patients in Guilford, Alamance, Rockingham, Forsyth, Randolph, and surrounding counties in North Carolina, to leverage and enhance Rad AI's Continuity platform for care coordination.

Rad AI Continuity closes the loop on follow-up recommendations for significant incidental findings in radiology reports. Using AI-driven automation, Continuity ensures that appropriate patient follow-up is communicated, ordered, scheduled, and completed. This improves patient outcomes, reduces health system liability, and creates new margin for health systems and radiology practices. Continuity integrates directly into a health systems' EHR, and its platform also works seamlessly with outpatient imaging centers.

"Rad AI Continuity provides a transformative approach to perhaps one of the most vexing patient care problems -- how to effectively identify, track, and prompt the appropriate completion of best practice recommendations (BPRs) included within radiology reports," said Michael Gilliam, director of radiology at Cone Health's Annie Penn Hospital. "Not only does Continuity close the loop on follow-up recommendations, it detects when significant incidental findings require BPRs that weren't mentioned, helping to increase report accuracy and ensure appropriate patient follow-up."

"We have seen how critical it is to close the loop on significant incidental findings and what a challenging problem it is to address using our currently available resources," said Mary Jo Cagle, MD, chief executive officer of Cone Health. "By automating the majority of steps related to patient follow-ups, Rad AI removes those manual tasks from our clinical team and gives them back more time to focus on caring for their patients."

"Continuity is the only solution on the market that handles all types of freeform and consensus guideline recommendations, and assesses clinical appropriateness based on the health system's preferences. Continuity's ability to streamline communication, physician ordering, and patient scheduling increases the rate of appropriate follow-up imaging and referrals from an average of 25% at most health systems, up to 70-75%," said Dr. Jeff Chang, Co-founder and Chief Product Officer of Rad AI. "Cone Health is a national leader in quality, service and cost, and we believe Rad AI Continuity will help Cone Health further expand its leadership in these areas. Our organizations share a passion for delivering exceptional care for all patients and reducing the burden on care teams, and this partnership furthers our combined mission."

For more information: www.conehealthventures.com


Related Content

Feature | Radiology Imaging | By Melinda Taschetta-Millane

It's been a fruitful month for itnonline.com! Here's a look at what ITN viewers found to be most interesting during the ...

Time June 01, 2023
arrow
News | Radiology Business

May 26, 2023 — HIMSS has appointed two technology executives at the helm as chair and vice chair of the HIMSS Board of ...

Time May 26, 2023
arrow
News | Computed Tomography (CT)

May 26, 2023 — GE HealthCare, a leading medical technology innovator, announced today its largest ever CT deal in the ...

Time May 26, 2023
arrow
News | Breast Density

May 25, 2023 — Researchers from the Mayo Clinic (Rochester, MN) and University of California, San Francisco confirmed ...

Time May 25, 2023
arrow
News | Artificial Intelligence

May 24, 2023 — Since the launch of ChatGPT in November 2022, the use of large language models (LLMs) powered by ...

Time May 24, 2023
arrow
News | Artificial Intelligence

May 19, 2023 — The latest version of ChatGPT passed a radiology board-style exam, highlighting the potential of large ...

Time May 19, 2023
arrow
News | Computed Tomography (CT)

May 18, 2023 — Royal Philips, a global leader in health technology, announced the launch of the Philips CT 3500, a new ...

Time May 18, 2023
arrow
News | Digital Pathology

May 18, 2023 — Paige, a global provider of end-to-end digital pathology solutions and clinical Artificial Intelligence ...

Time May 18, 2023
arrow
News | Digital Radiography (DR)

May 17, 2023 — After nearly a year of official review and verification, Director of Global Sales Mike Cairnie of MinXray ...

Time May 17, 2023
arrow
Videos | Information Technology

HIMMS is working to bring empirical knowledge and evidence of value and impact of digital maturity measured by the HIMSS ...

Time May 17, 2023
arrow
Subscribe Now