By utilising the newly developed claims data activator, the new solution is expected to support health plans and providers in lowering administrative duties and costs by converting unstructured data into structured data

Google_Building_NYC

New AI-driven claims acceleration suite introduced by Google Cloud. (Credit: Donatingpictures/Wikimedia Commons)

Google Cloud has introduced a new artificial intelligence (AI)-enabled Claims Acceleration Suite to optimise health insurance prior authorisation and claims processing.

By utilising the newly developed Claims Data Activator, the new solution is expected to support health plans and providers in lowering administrative duties and costs by converting unstructured data into structured data.

Claims Acceleration Suite is said to allow experts to make more informed decisions faster to enhance patient care.

Claims Data Activator establishes intelligent analytics, smart reporting and data interoperability by leveraging document AI, healthcare natural language application programming interface (API), and healthcare API to convert unstructured data to structured data.

It also utilises analytical tools, BigQuery data warehouse for real-time analytics and machine learning, and Looker platform for data visualisation.

Google Cloud said that the AI-driven prior authorisation is now accessible to its customers and other features of the Claims Acceleration Suite will be made available later in the year.

With Google’s Claims Acceleration Suite, health plans are anticipated to better utilise data as a strategic asset to enhance the experiences of members and providers while also meeting existing and proposed standards.

Google Cloud global health plans strategy and solutions director Amy Waldron said: “It’s time to modernise the prior authorisation process, leverage current technology to improve access to care and extract value to better serve the people in our communities.

“Our Claims Acceleration Suite is a great example of Google Cloud’s AI driving much-needed operational efficiencies by reducing the manual administrative work for providers; allowing payers to focus their time on clinical evaluation and review, improving speed to care; and extracting value from a process without disrupting the roles experts play in claims decisions.”

In February this year, Google Cloud and Anthropic, a California-based artificial intelligence (AI) safety and research company, partnered to build AI computing systems.