Health AI in the 3rd Week of March

EverCommerce (US): Launched EverHealth Scribe within the DrChrono EHR. Based on CarePilot data, users report saving an average of 8 minutes of documentation time per visit and a 32% increase in same-day claim submissions. [Link]

CharmHealth (US): Introduced CharmCopilot, a multi-agent AI copilot embedded in its EHR to support triage, charting, lab review, billing, and workflow navigation. [Link]

Microsoft (US): Launched Copilot Health, a separate secure space within Copilot that brings together personal health records, wearable data, and health history to provide personalized health insights. Microsoft says data in Copilot Health is not used for model training. [Link]

Caris Life Sciences (US): Released a new Caris AI Insights signature designed to predict early platinum resistance in high-grade serous ovarian cancer, helping clinicians identify patients who may need earlier transition to other therapies. [Link]

Royal Philips (Netherlands): Launched a cloud-enabled version of its IntelliSite Pathology Solution, powered by AWS, to help labs manage digital pathology images and scale digital workflows more easily. [Link]

American Medical Association (US): Released survey data showing that 81% of physicians now use AI professionally, up from 38% in 2023. The survey also found that doctors see data privacy (86%) and robust safety and efficacy validation (88%) as critical for broader AI adoption, while calling for clearer liability frameworks. [Link]

HIMSS26 Insights (US): Highlighted growing urgency for stronger AI governance and cybersecurity as health systems move from pilots to broader AI deployment, including agentic tools that expand operational and security risks. [Link]

Huntsman Mental Health Institute (US): Published the SAFE AI framework, giving small and medium-sized companies practical ethical checkpoints to identify and mitigate bias during medical AI development. [Link]

New York State Legislature (US): Is considering a bill that advanced out of committee and would ban AI chatbots from providing medical or legal advice when doing so would violate professional licensing laws. [Link]

University of Pennsylvania (US): Warned that clinical AI lacks moral agency and cannot be treated as a morally accountable actor. [Link]

Ministry of Health (Singapore): Released updated national guidelines on the safe development, deployment, and use of healthcare AI, including governance, monitoring, and data protection. [Link]

A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic: AMIE completed pre-visit chats with 100 adult urgent care patients, required zero safety stops, and included the final diagnosis in 90% of cases within its differential. [Link]

Microsoft (US): Analyzed 500,000 Copilot health conversations. Symptom queries spiked at night, and 1 in 7 personal searches were done for dependents. [Link]

A clinical environment simulator for dynamic AI evaluation: Proposes the Clinical Environment Simulator (CES), a framework for testing clinical AI in digital hospital settings using parallel patient and hospital engines that model how AI decisions affect patient outcomes and system resources over time. [Link]

Unlocking electronic health records: a hybrid graph RAG approach to safe clinical AI for patient QA: MediGRAF is a hybrid Graph RAG system that combines structured EHR data with clinical notes. In testing, it achieved 100% recall for factual queries and zero safety violations across evaluated cases. [Link]

Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: the GEMINI study: In 10,889 women in one UK region, the study found that its primary AI workflow could increase cancer detection by 10.4%, maintain the recall rate, and reduce workload by up to 31%. [Link]

NVIDIA (US): Expanded its BioNeMo platform for healthcare and life sciences, including the new Proteina-Complexa model for protein binder design and a large protein-complex dataset to accelerate drug discovery. [Link]

HeartBeam & Mount Sinai (US): Collaborating to develop and validate AI-ECG algorithms using HeartBeam’s home-based 3D ECG platform and synthesized 12-lead data. [Link]

Homecare Homebase & StenoHealth (US): Launched an AI-assisted documentation tool embedded in the HCHB EHR to reduce app-switching and support home-based care compliance requirements. [Link]

NORD & OpenEvidence (US): Partnered to build an AI-synthesized, expert-reviewed library of more than 3,000 rare disease summaries for clinicians, patients, and families. [Link]

Ethermed & VisiQuate (US): Announced a strategic partnership to combine prior authorization automation with predictive revenue cycle intelligence to streamline authorizations and reduce administrative burden. [Link]

Verily & Samsung (US/South Korea): Announced a collaboration to integrate Samsung Galaxy Watch sensor data with Verily’s Pre platform to support clinical research and real-world evidence generation. [Link]

Fujitsu & Teikyo University Hospital (Japan): Started a joint pilot to build EHR-linked patient management and data analysis tools, aiming to cut the Medical Collaboration Office’s admin workload by 30%. [Link]

Amigo AI (US): Raised an $11M Series A to build and train patient-facing clinical agents for intake and triage, care navigation, and 24/7 patient support. [Link]

Nitra (US): Secured $187M in financing, including equity, venture debt, and a warehouse facility, to expand its AI-native operating platform for healthcare practices. [Link]

Carefam (US): Raised $10.5M to build AI chatbots for healthcare workforce coordination, including recruiting, scheduling, and clinician communication.[Link]

Spotlight Pathology (UK): Secured £1.4M in seed funding to advance its AI-powered blood cancer diagnostics, supporting additional regulatory approvals and first clinical in-use trials. [Link]

AMI Labs (France): Raised $1.03B to build “world models,” AI that learns from reality rather than just language. Digital health startup Nabla is its first disclosed healthcare partner and is expected to access AMI’s early models. [Link]

Waiv (France): Raised $33M to accelerate the global rollout of its AI-powered oncology testing platform, which turns routine pathology slides and clinical data into precision tests and biomarker insights. [Link]

Vitestro (Netherlands): Secured a $70M oversubscribed Series B to advance Aletta, its autonomous robotic blood collection device that uses AI, robotics, and multimodal imaging. [Link]

Veeva Systems (US): Acquired Ostro for $100M to integrate its compliant, AI-driven drug information chat platform. [Link]

GNQ Insilico (Canada): Agreed to a $500M SPAC merger with IB Acquisition Corp. to take public its AI, quantum computing, and digital-twin platforms for drug development and precision medicine. [Link]