Baltimore-based B.Well Connected Health has unveiled an SDK to power healthcare AI assistants with clean, connected, real-time health data and provide self-service features that let individuals take action through conversational AI.

As organisations race to deploy consumer-facing AI chat and agent experiences, the SDK (software development kit) provides the safe, accurate and scalable foundation to bring them to market.

Backed by connectivity spanning 2.2 million providers, 300 health plans and a broad ecosystem of pharmacy, lab, device, payer and patient-generated data, the health AI SDK unifies real-world health information into a single AI-ready dataset. With this foundation, AI assistants can offer personalised guidance based on a consumer’s complete medical history and take action on their behalf, such as scheduling appointments or transferring prescriptions.

“The B.Well SDK for health AI does the back-end data and API integration work so health systems, insurers, life sciences organisations, 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,” said Imran Qureshi, chief technology officer at B.Well.

A key component of the SDK is a proprietary 13-step data refinery, which cleanses, reconciles, standardises, summarises, embeds and enriches fragmented data. It delivers a deep, clean, clinically grounded dataset for LLMs. By compressing and refining health data into fewer tokens, the SDK can reduce LLM processing costs by up to tenfold, making large-scale healthcare AI more affordable.

Beyond cost, organisations have struggled to build AI assistants that can safely handle the nuances of healthcare data – unstructured clinical notes, intricate medical terminology and multiple trade names or administration routes for the same medication – while staying grounded in evidence-based guidelines. The SDK addresses this with algorithms rooted in standard medical vocabularies and AI-native text-embedding search across clinical notes, care plans, discharge instructions and other unstructured content. The result is more accurate, context-aware, clinically aligned responses.

“The future of healthcare is one where every organisation offers AI assistants as commonly as they offer web sites and apps today,” said Kristen Valdes, CEO of B.Well Connected Health. “Organisations will differentiate themselves with assistants built on foundations that clinicians and consumers can trust, and that can make informed recommendations that empower people to proactively manage their health.”

The SDK is HITrust-certified and aligned with CMS and NIST guidelines for responsible AI.

For organisations that want to build on top of B.Well’s infrastructure, the SDK brings the power of the B.Well platform into white-labelled AI assistants and chat offerings. For those who prefer not to build their own interface, the SDK includes a secure, embeddable chatbot UI for Android, iOS and web applications.

B.Well Connected Health (www.bwell.com) is a data-rich digital health platform for AI-powered consumer experiences, personalised care and better outcomes. The company solves healthcare’s fragmentation problem with a scalable, FHIR-based platform that unifies health data and services. By creating longitudinal health records, cleansing and standardising fragmented data through its proprietary data refinery, and delivering proactive insights, B.Well helps organisations engage consumers in real time, simplify access to care and support regulatory compliance.