OPN Healthcare Partners with KAID Health to Leverage Natural Language Processing Technology for Value-Based Oncology Care

Deployment of Real-World Natural Language Processing marks first use case for oncology prior authorization.

KAID Health, an AI-powered health care data analysis and provider engagement platform, has partnered with OPN Healthcare, a U.S. network of community oncology providers to improve oncology care delivery. The company will implement KAID Health’s Whole Chart Analysis, which draws healthcare data from multiple sources, and NLITE (Natural Language Insight & Term Extraction) solutions to enhance OPN’s technology platform. The Note Analyzer feature of KAID Health’s platform automatically extracts the clinical data required by pharmacists, nurses, and other caregivers to make an accurate determination of guideline compliance. This fast-tracks OPN’s compliance process by improving turnaround times for prior authorization and providing detailed clinical reporting.

Natural Language Processing Capabilities : Finch Computing Accelerates its Natural Language Processing Capabilities

“By integrating Real-World NLP, we can streamline workflows, refine our benchmarking, improve our quality reporting and reduce time-to-treatment. These are vital components in our strategy to improve patient care and clinician workflow.”

KAID Health’s suite of technology solutions is making care delivery more efficient and effective. NLITE addresses key technological issues that to-date have hindered the widespread adoption of natural language processing (NLP) for prior authorization. NLITE aggregates similar clinical concepts in notes regardless of how they are written by the clinician and secures usable data from disparate, often messy, source systems. This minimizes unwanted variation, lowers costs, and improves patient outcomes. Whole Chart Analysis is able to understand the meaning of medical notes, not merely cataloging the terms listed but also claims data and unstructured medical notes.

“When it comes to cancer, we don’t have time to wait. By partnering with KAID Health, we can improve our prior authorization workflows to help patients get access to care, faster,” says Arinjay Madhav, VP of Strategy & Operations at OPN Healthcare. “By integrating Real-World NLP, we can streamline workflows, refine our benchmarking, improve our quality reporting and reduce time-to-treatment. These are vital components in our strategy to improve patient care and clinician workflow.”

Data Science News: Mosaic Data Science Develops Innovative AI-Text Generation Tool That Summarizes Content for Specific Audiences

OPN helps to align physician practices with healthcare payers to deliver quality oncology care while managing costs. However, ensuring the appropriate use of high cost, highly specific, novel oncology medications is a significant challenge for the industry. At the same time, traditional prior authorization processes are often seen as burdensome to physicians and disjointed from the care process. OPN partnered with KAID Health to develop a new approach that utilizes the Note Analyzer feature with NLITE technology for its ability to serve timely, accurate, and consistent information needed for users when they need it most. OPN’s implementation of NLITE technology is the first time it has been utilized for oncology prior authorization.

“KAID Health’s NLITE technology helps OPN Healthcare, and its oncology provider partners, by automatically extracting patient data from the medical record. In doing so, oncologists realize the benefits of effective utilization management without the overhead cost,” says Kevin Agatstein, CEO of KAID Health. “This important oncology use case is a major step in KAID Health’s mission to ensure the entire patient record drives the delivery of informed, coordinated, and empathic care.”

The OPN and KAID Health initiative followed an extensive proof-of-concept phase. Future plans include expanding the application of this technology to other areas of OPN’s Care Management services.

AI Insights : XAPP AI Achieves AWS Conversational AI Competency Distinction

 [To share your insights with us, please write to sghosh@martechseries.com]