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Weekly Rundown: Expressable joins Amazon's health conditions program; Function launches data connector for AI platforms

Stay up to date on the latest in health tech, digital health and health AI news with this weekly brief.

Expressable, a speech therapy services provider, has joined Amazon's Health Benefits Connector program. This collaboration marks Expressable as the first speech therapy provider on the platform, offering patients insurance-covered virtual sessions with licensed therapists for personalized care. Ninety-six percent of patients across all diagnostic groups make clinical progress within five sessions, according to Expressable executives.

Ambience Healthcare has introduced a new partnership model for AI in healthcare, named the Ambience Standard. This model focuses on structuring contracts based on measurable outcomes, ensuring fees align with the effectiveness of AI solutions. The Ambience Standard, powered by Ambience Chorus, emphasizes the importance of context, clinical workflow integration, measurement, and people in driving healthcare improvement.

Luma Health and PCC have partnered to integrate Luma's AI-powered communications into pediatric practices nationwide. The partnership enables over 300 independent pediatric practices and more than 1,400 pediatricians to receive automated care-related communication in more than 30 languages. PCC customers will receive implementation details in the fall.

Function, an operational AI platform, has launched a secure health data connector for leading AI platforms such as ChatGPT, Claude, and Perplexity. This feature allows users to securely share lab results, clinician-reviewed notes, and longitudinal health histories to enhance the context of AI conversations in health. Over 27% of healthcare IT leaders identified cybersecurity and ransomware as top concerns, along with staffing shortages, rising operational and compliance costs, network reliability, and aging infrastructure.

Written by urgent.news from Fierce Healthcare's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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