What You Should Know:
– b.well Connected Health has released the first Software Development Kit (SDK) specifically designed to power healthcare AI agents with clean, real-time data from over 2.2 million providers and 300+ health plans.
– The SDK features a proprietary “13-step Data Refinery” that standardizes fragmented records, reducing the token usage for Large Language Models (LLMs) by up to 10x. This infrastructure allows organizations to build AI assistants that can safely take actions—like scheduling appointments or transferring prescriptions—rather than just answering questions.
The “Data Refinery”: Solving the Token Problem
The standout feature for developers and CIOs is b.well’s proprietary 13-step Data Refinery. In the world of Generative AI, cost is determined by “tokens” (pieces of text processed by the model). Raw healthcare data is notoriously verbose and redundant, leading to massive processing bills. b.well’s refinery cleanses, reconciles, and summarizes this data before it ever hits the LLM.
- The Impact: By compressing and refining health data, the SDK can reduce LLM processing costs by up to 10x.
- The Result: This makes large-scale deployment of healthcare AI dramatically more affordable for health systems and insurers.
“The b.well SDK for Health AI does the back-end data and API integration work,” said Imran Qureshi, Chief AI and Technology Officer at b.well. This allows organizations to build technology that is “backed by clinical evidence and detailed medical history” without building the infrastructure from scratch.
Moving From “Chat” to “Action”
Most healthcare chatbots today are passive—they can explain symptoms but cannot fix problems. b.well’s SDK is designed to power Agentic AI—assistants that can take action.
Because the SDK is grounded in a consumer’s complete medical history, it enables AI agents to:
- Schedule appointments based on real-time availability.
- Transfer prescriptions between pharmacies.
- Offer personalized guidance rooted in a unified longitudinal record.
“Organizations will differentiate themselves with assistants… that can make informed recommendations that empower people to proactively manage their health,” said Kristen Valdes, Founder and CEO of b.well.
Safety and “Grounding”
One of the biggest risks in healthcare AI is the “hallucination” of medical facts. To combat this, the SDK addresses the nuances of unstructured clinical notes and intricate medical terminology.
It uses AI-native text-embedding search across clinical notes, care plans, and discharge instructions. By grounding responses in standard medical vocabularies and evidence-based guidelines, the SDK ensures that the AI’s outputs are “clinically aligned” and context-aware.
The platform is also HITRUST-certified and aligns with CMS and NIST guidelines for responsible AI, offering a “whitelabeled” solution for organizations that want to deploy quickly without navigating the regulatory minefield alone.
