b.well Connected Health Unveils 1st Health AI SDK to Build Actionable Healthcare Assistants

The unified data foundation is intended to enable developers to build AI assistants capable of delivering personalised guidance based on a comprehensive view of an individual’s health history.

Baltimore-based b.Well Connected Health, a global health management platform, has unveiled the first Software Development Kit (SDK) designed to power health AI assistants with clean, unified, real-time clinical data.

The newly available Health AI SDK is designed to enable health systems, insurers, life sciences organisations, and other stakeholders in building AI-driven assistants that can interpret comprehensive medical records, integrate fragmented clinical data, and support actionable tasks such as appointment scheduling and medication management.

With access to data from over 2.2 million providers and 300 health plans, the SDK seeks to integrate diverse clinical and patient-generated data into a single unified optimised dataset for LLM deployment.

The unified data foundation is intended to enable developers to build AI assistants capable of delivering personalised guidance based on a comprehensive view of an individual’s health history.

Further, the SDK system features a 13-step Data Refinery, which processes fragmented health information by cleansing, reconciling, standardising, summarising, embedding, and enriching to prepare data AI application.

The approach is intended to deliver a clinically grounded dataset suitable for use by large language models. By compressing and refining health data into far fewer tokens, the SDK seeks to reduce LLM processing costs.

In addition to developer tools, the SDK includes a secure, embeddable chatbot interface for Android, iOS, and web applications for organisations to deliver an AI-powered user-ready experience.

Furthermore, the SDK system aims to overcome common healthcare AI challenges, such as processing unstructured clinical documentation, understanding medical terminology, and handling variant medication names, with an emphasis on evidence-based output

Commenting on the new launch, Imran Qureshi, "The b.well SDK for Health AI does the back-end data and API integration work so health systems, insurers, life sciences organizations, pharmacies, and others can efficiently, accurately, and securely build AI technology that goes beyond providing answers to recommending the right action, all backed by clinical evidence and detailed medical history."

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