Breaking News — Decoding Health Signals: Perplexity + b.well Enable AI to Read Your Medical Data
Perplexity and b.well Connected Health have teamed up so AI answers can be grounded in a person’s actual medical record, letting AI decode the health signals in your labs, medications, conditions, and clinical notes rather than rely on generic guidance.
Why this matters for decoding signals
- AI will be able to interpret individual lab trends, medication histories, and clinical observations — turning fragmented data into meaningful signals about risk, changes, or next steps.
- With access to longitudinal records, AI can surface subtle patterns (slowly rising A1c, repeat abnormal labs, medication interactions, gait changes noted in notes) that might otherwise be missed.
- Users can ask AI to translate test results, flag signal changes to discuss with clinicians, or prepare focused questions for appointments based on their own history.
- b.well’s FHIR-native network plus its 13-step Data Refinery aims to normalize and clean records so the signals AI uses are accurate and actionable.
- Consumers must explicitly opt in; they control which data the AI can read and can revoke access anytime.
Concrete user benefits (examples)
- “Is this tremor new or part of a pattern?” — AI can correlate symptom notes, medication changes, and prior visits to help decode whether a pattern exists.
- “Which results need urgent follow-up?” — AI can prioritize abnormal values against your history and risk factors, suggesting what to raise with your clinician.
- b.well connects to 2.4M+ provider endpoints and 350+ health plans/labs to build longitudinal records.
- The integration emphasizes data completeness and quality to improve the accuracy and safety of Health AI answers.
- Users explicitly authorize access and can revoke it at any time.
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