b.well Connected Health, known for operating one of the most connected digital health platforms for AI-driven consumer experiences, has announced the release of a new software development kit designed specifically for healthcare AI assistants. The SDK is built to deliver clean, connected, real-time health data while enabling self-service actions through conversational AI. As more healthcare organizations move quickly to launch AI chat and agent-based experiences for consumers, this new offering provides a secure and scalable foundation to support those efforts.
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The Health AI SDK is supported by b.well’s extensive connectivity network, which includes access to data from 2.2 million healthcare providers, more than 300 health plans, and a broad range of pharmacy, laboratory, medical device, payer, and patient-generated data sources. By bringing this information together into a single AI-ready dataset, the SDK allows AI assistants to deliver personalized guidance informed by a complete view of an individual’s medical history. These assistants can also perform actions on behalf of users, such as booking appointments or managing prescription transfers.
According to Imran Qureshi, Chief AI and Technology Officer at b.well Connected Health, the SDK is designed to remove much of the complexity involved in building healthcare AI solutions. He explained that b.well handles the underlying data integration and API work so that health systems, insurers, life sciences companies, pharmacies, and other organizations can focus on creating AI tools that not only answer questions but also recommend appropriate next steps. These recommendations are grounded in clinical evidence and supported by detailed, accurate medical data.
At the core of the SDK is b.well’s proprietary 13-step Data Refinery process. This system cleans, reconciles, standardizes, summarizes, embeds, and enriches fragmented health data from multiple sources. The result is a highly refined and clinically reliable dataset that is optimized for use with large language models. By condensing complex health information into significantly fewer tokens, the SDK can lower language model processing costs by as much as ten times, helping make large-scale healthcare AI deployments more economically viable.
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Beyond cost efficiency, many organizations have faced challenges in building AI assistants that can safely and accurately interpret healthcare data. Clinical notes are often unstructured, medical terminology can be complex, and medications may have multiple names or administration methods. The b.well Health AI SDK addresses these issues through algorithms that rely on established medical vocabularies and AI-native text embedding search. This approach allows the system to interpret clinical notes, care plans, discharge instructions, and other unstructured content with greater accuracy and clinical relevance, resulting in responses that are both context-aware and aligned with evidence-based guidelines.
Kristen Valdes, Founder and Chief Executive Officer of b.well Connected Health, shared her perspective on the broader impact of this launch. She noted that AI assistants are expected to become a standard offering across healthcare organizations, much like websites and mobile apps are today. Valdes emphasized that organizations will stand out by building assistants on foundations that both clinicians and consumers trust, and by delivering recommendations that help people take a more proactive role in managing their health.
Security and compliance are central to the SDK’s design. All capabilities are supported by b.well’s adherence to strict regulatory and security standards. The SDK is HITRUST certified and aligned with CMS and NIST guidelines for responsible use of AI in healthcare, ensuring that sensitive health data is handled appropriately.
For organizations that want to build their own AI experiences, the SDK allows full use of the b.well platform within branded AI assistants and chat solutions. For those that prefer a ready-made option, the SDK also includes a secure, embeddable chatbot interface that works across Android, iOS, and web applications. This flexibility enables organizations to bring AI-powered healthcare experiences to market faster while maintaining trust, accuracy, and compliance.
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