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 analytics and 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 cognitive analytics 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, amplify patient insight, and improve patient loyalty.
Digital Reasoning’s healthcare 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 through cognitive analytics 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.
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.
Time to Treatment REDUCED by 5 days.
Oncology Volume – Annual Growth Rate TRIPLED.
Navigator Caseload Productivity INCREASED by more than 2x.
DOUBLED clinician-patient interactions (instead of EMR and documentation work).
Oncology Volume INCREASED by over 500 patients (on average in each local healthcare provider market area).
Patient Insights uses patented AI to automate mundane, repetitive documentation tasks and provides cancer care teams. Advanced triage, prioritization, and dynamic workflow optimization ensures clinicians get the right information about the right patient at the right time.
As a result, physicians and nurse navigators spend more time with patients instead of reading and documenting reports – improving both patient relations and their own work life quality. Subsequently, this enables a greater portion of your cancer patients to receive the benefits of oncology nurse navigation, resulting in a better patient experience.
Beyond patient satisfaction, patient benefits of oncology nurse navigation reported in studies include:
- Reduced anxiety
- Improved emotional support
- Fulfilled information needs
- Patient loyalty (NPS)
Patient Insights also reduces time to treatment, allowing contact from a navigator to occur within 72 hours of initial diagnosis. Patients and families receive the comforting, positive patient experience of a coordinated navigation into a pathway at the earliest possible stage.
High quality cancer care delivery can be labor intensive, especially cancer navigation and care pathway processes. Multiple peer-reviewed studies have demonstrated that navigated patients have significantly better outcomes than cancer patients flying solo. Despite this evidence, the availability of nurse navigators remains limited due to the high employment costs associated with this labor-intensive role.
Patient Insights removes that barrier with patented AI that automates the reading of radiology and pathology reports, thereby augmenting and amplifying the downstream effectiveness of the entire oncology care team. Accelerated processes make nurse navigators more efficient, streamline care coordination, and enhance oncology pathway effectiveness.
AI-enabled automation and augmentation
Patient Insights augments nurse navigators, streamlines care coordination, and enhances oncology pathway effectiveness.
Navigate more patients
Improved cancer nurse navigator productivity allow more patients per nurse per month to be navigated. Hospitals and cancer care centers using Patient Insights significantly increased the proportion and volume of navigated patients.
Accelerate time to treatment
Navigated patients experience shorter intervals between diagnosis and first treatment.
Improve patient outcomes
Increasing patient navigation and accelerating care paths improves survivability and mortality, length of stay, adherence rates, appointment compliance, transitional care, and patient satisfaction.
Our soluition uses innovative machine learning models to automatically discover, triage and prioritize new cancer diagnoses within the health system’s total patient population. Operating in real-time, dynamic queuing technology optimizes care management workflow in target patient populations.
Improve navigator productivity
Our innovative solution enables a 200-250% gain in productivity across cancer care teams. A pilot deployment at 150 hospitals in the United States delivered the work output equivalent to hiring 2-3 additional navigators per hospital.
Improve registrar productivity and eliminate backlog
Hospitals and cancer centers report a 97.5% improvement in cancer registry reporting times. At some sites this represents a 39x increase.
Increase patient volume, retention and loyalty
Our AI-enabled solution helps discover new cancer cases and accelerate outreach, increasing volume and patient retention on a margin-positive service line and resulting in an improved financial contribution margin. Finally, improvements to patient retention rates and its positive impact on patient loyalty generates a measurable lifetime care value.