News | Artificial Intelligence | March 30, 2018

NTT Data, DataFirst Partner to Expand Advanced Healthcare AI Capabilities

Partnership will expand access to NTT’s Imaging Insights solution with DataFirst’s SilverBack Workflow Engine to launch advanced AI modules

NTT Data, DataFirst Partner to Expand Advanced Healthcare AI Capabilities

March 30, 2018 — NTT Data Services this week announced a partnership with DataFirst Inc. to deliver clinical artificial intelligence (AI) that will help healthcare organizations improve quality and decrease the cost of patient care.

This partnership creates valuable opportunities during and following data migration in live care situations to better use clinical imaging data for quality of diagnoses and insights on patient health. DataFirst’s suite of interoperability solutions allows patient data to cross seamlessly between platforms.

The new partnership allows NTT Data Services to expand access to its Imaging Insights solution with stronger patient health profiling opportunities for customers, according to Barron Lange, president, provider segment, NTT Data Services. He added that by leveraging the DataFirst leave-behind imaging tools, healthcare organizations have the capability to create more streamlined workflows, enhance routing and data sharing, and generate impactful insights for patient care.

NTT Data’s comprehensive portfolio for imaging analytics, cloud services and transformation consulting enhances clients’ ability to meet the triple aim of healthcare: improving the quality of patient care and overall population health while lowering costs. The Imaging Insights service is a vendor-neutral platform that integrates across sources of AI and machine learning tools to present a unified solution for channeling clinical data into analysis and subsequently a single consistent format for integrating results into clinical workflow.

Consistent classification of imaging findings helps decrease the length of hospital stay and healthcare costs, according to the American Association for the Surgery of Trauma. Additional examples of insights garnered from medical imaging include:  

  • Thirty-three percent of computed tomography (CT) scans in the emergency room had incidental findings, but 90 percent did not note the findings in discharge papers;
  • Seventy percent of vertebral fractures remain undiagnosed; and
  • Nearly 70 percent of incidental findings visible on a non-cardiac chest CT scan are not reported

DataFirst Executive Vice President and COO Beau Jones said the partnership will leverage the flexibility and power of its flagship SilverBack Workflow Engine to launch advanced AI modules. He added that this will empower clinicians with a sophisticated clinical tool for the diagnosis and treatment of diseases.

For more information: www.us.nttdata.com

 

Related Content

John Carrino, M.D., M.Ph., presents “Challenges and Opportunities for Radiology to Prove Value in Alternative Payment Models” at AHRA 2019

John Carrino, M.D., M.Ph., presents “Challenges and Opportunities for Radiology to Prove Value in Alternative Payment Models” at AHRA 2019. Photo by Greg Freiherr

Feature | Radiology Business | July 22, 2019 | By Greg Freiherr
Efforts to reform healthcare are booming, b
IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017.

IBM collected a dataset of 52,936 images from 13,234 women who underwent at least one mammogram between 2013 and 2017, and who had health records for at least one year prior to the mammogram. The algorithm was trained on 9,611 mammograms. Image courtesy of Radiology.

Feature | Artificial Intelligence | July 19, 2019 | Michal Chorev
Breast cancer is the global leading cause of cancer-related deaths in women, and the most commonly diagnosed cancer...
Paragon Biosciences Launches Qlarity Imaging to Advance FDA-cleared AI Breast Cancer Diagnosis System

Qlarity Imaging’s software is used to assist radiologists in the assessment and characterization of breast lesions. Imaging features are synthesized by an artificial intelligence algorithm into a single value, the QI score, which is analyzed relative to a database of reference abnormalities with known ground truth. Image courtesy of Business Wire.

Technology | Artificial Intelligence | July 18, 2019
Paragon Biosciences LLC announced the launch of its seventh portfolio company, Qlarity Imaging LLC, which was founded...
Johns Hopkins Named Qualified Provider-led Entity to Develop Criteria for Diagnostic Imaging
News | Clinical Decision Support | July 18, 2019
On June 30, 2019, the Centers for Medicare & Medicaid Services (CMS) announced the Johns Hopkins University School...
Anatomage Releases Anatomage Cloud Platform
News | Remote Viewing Systems | July 16, 2019
Anatomage Inc. released an update to the Anatomage Cloud platform that allows medical and dental professionals to...
Graphic courtesy Pixabay

Graphic courtesy Pixabay

Feature | Artificial Intelligence | July 15, 2019 | By Greg Freiherr
Siemens has long focused on automation as a way to make diagnostic equipment faster and more efficient.
Videos | Artificial Intelligence | July 12, 2019
Khan Siddiqui, M.D., founder and CEO of HOPPR, discusses the economic advantages and costs presented by...
Videos | Digital Pathology | July 11, 2019
Toby Cornish, M.D., Ph.D., associate professor and medical director of informatics at the University of Colorado Scho
FDA Clears Koios DS Breast 2.0 AI-based Software
News | Ultrasound Women's Health | July 11, 2019
Koios Medical announced its second 510(k) clearance from the U.S. Food and Drug Administration (FDA).