Problem

High-quality cancer care is a labor-intensive process involving oncologists, radiologists, pathologists, nurse navigators, patient care coordinators, and registrars. Across the clinical workflow, Digital Reasoning’s AI-enabled software augments the care team by invisibly assisting with the repetitive, routine tasks behind-the-scenes. Today, 162 hospitals across the country use Digital Reasoning’s oncology care management software to raise the standard of care ⎯ improving clinical quality, patient experience, efficiency, and productivity while growing oncology patient volume.

Deploying deep analytics on unstructured data to prompt effective and efficient actions throughout the care path proved an ROI across the “triple aim” of patient experience, clinical quality, and the cost-of-care.

  • Speed the time-to-contact patients. Reduce average time-to-treatment by weeks.
  • Discover, navigate, treat and retain new cancer patients via machine processing of pathology and radiology reports.
  • Increase oncology volumes and maximize capacity.
  • Improve nurse navigator and care team productivity.
  • Reduce the time clinicians spend on documentation, EMR and computer work.
  • Keep patients in network and improve physician-patient relationships.
  • Enhance patient experience and improve patient loyalty.
Solution

Digital Reasoning’s deep analytics care management software uses patented Natural Language Understanding and machine learning technology to intelligently read pathology and radiology reports at the front-end of the cancer diagnosis and treatment process. The software augments the cancer care workflow in real-time by discovering, classifying, and prioritizing cancer cases for optimal follow-up; augmenting physicians, nurse navigators, care coordination and oncology pathway efficacy with intelligent workflow support, including dynamic work queues, care pathway matching, and care complexity triage; and extracting key data elements to automate and ease documentation burdens.

Essentially, every step in the cancer diagnosis, treatment, navigation, documentation and follow-up process gets enhanced by the software working invisibly behind-the-scenes.

 

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Outperforming not only manual processes but also traditional NLP software, Digital Reasoning delivers significant improvements to labor efficiency, speed-to-treatment, patient retention, and quality of care.

  • Improves patient experience, including reducing the time from diagnosis to first contact with a physician to less than 72 hours.
  • Increases healthcare system margins and efficiency, removing rote work for registrars and cancer care navigators, and optimizing capacity.
  • Enhances clinical quality, improving speed to treatment by over 1 week and increasing survivability.
“Triple Aim” benefits: