Integrated healthcare technology provider WorldView has announced the launch of ‘Referral AI’, a referral classification platform designed to automate the intake of patient referrals for home health and hospice agencies.

This platform leverages a custom artificial intelligence/machine learning (AI/ML) model to swiftly scan and evaluate dense referral document packets, identifying false positives and negatives.

It uses custom rules to confirm referrals before sending them to the electronic health record (EHR) / electronic medical records (EMR) system.

The technology is specifically tailored to the healthcare industry, promising to outperform generic AI/ML models in both speed and accuracy.

It was developed to help agencies secure more business and reduce the manual workload associated with document overload.

By significantly reducing the time required for the intake process, Referral AI prioritises rapid patient care and alleviates the administrative burden on back-office staff.

The solution organises referral packets effectively, providing clinicians with immediate access to essential patient information.

This enables clinicians to concentrate on delivering quality care, free from the hassle of extensive paperwork.

Referral AI is built on over 22 years of data, offering features such as precision sensitivity settings, a learning feedback loop, and an specialised in-house AI team.

Its rapid processing speed and custom document classification model ensure seamless integration with existing systems.

WorldView senior vice-president Jared Robey said: “When we started developing our Referral AI technology, we saw first-hand how other solutions released features that inevitably created more downstream issues.

“We leveraged our extensive dataset to build and train our AI/ML model, ensuring that referrals are identified accurately and routed to an intake team for prioritisation. This investment allows WorldView to continue pushing automation limits to enhance user experience and increase financial success.”