Infinitus Systems, Inc., the AI platform for healthcare communications, announced it is expanding its use of Google Cloud AI technologies to automate payor-facing medical and pharmacy benefit verifications and prior authorization calls.
Infinitus already has saved more than 300,000 hours for providers using Google Cloud AI tools, enabling providers and health plans to increase employee productivity, while generating tens of millions in cost savings. Infinitus today uses a breadth of Google Cloud services, including compute, speech recognition, storage, analytics, and alerting – including using Vertex AI since its inception.
As part of the expanded partnership, Infinitus plans to leverage Vertex AI Workbench to create and manage machine learning models of Infinitus’ HIPAA-compliant, SOC2 Type II certified digital assistant. Eva, the Infinitus digital assistant, collects benefit eligibility and prior authorization requirements from payors, including both major medical and pharmacy benefit managers (PBMs). Eva relies on a vast knowledge graph of intelligence across more than 1,000 specialty medications and procedures and the rules of more than 300 payors. By leveraging Vertex AI Workbench and its integration with BigQuery ML Infinitus will be able to scale data labeling and model training of its proprietary healthcare natural language processing (NLP) model.
“The No. 1 opportunity for cost savings in the U.S. healthcare system is automation of benefit eligibility information transfer. In 2022 alone, there were more than 500 million such transactions done manually between providers and health plans. This is not only adding an exorbitant cost to our healthcare services, but also creating unnecessary delays to treatment,” said Ankit Jain, Co-Founder and CEO of Infinitus Systems, Inc.
Ultimately, by leveraging Google Cloud, Infinitus has been able to focus its machine learning team on building cutting-edge NLP models for healthcare. With Google Cloud, Infinitus’ AI and engineering teams spend less time maintaining infrastructure and instead building accurate, fast, scalable, and affordable AI solutions for healthcare.
“Google Cloud has enabled us to build an enterprise-grade AI solution quicker for our customers. Google Cloud’s Vertex AI MLOps tools, combined with infrastructure stability and performance, allows us to maintain high uptime and allows us to serve more patients. Without Google Cloud’s services, our engineering infrastructure team would need to be five times its size today and it would take us longer to build the products that save time for healthcare,” said Shyam Rajaopalan, Co-Founder and CTO of Infinitus.
Infinitus customers range from independent ambulatory surgery centers and specialty pharmacies, to national payors and pharmaceutical patient access programs. AI-based software provides these organizations with significant advantages over those that outsource the benefit verification process, because it solves for both the need to hire and train staff and for the preponderance of human error present in the benefit verification process.
SOURCE: PRNewswire