In partnership with
Hi HAIFer,
I’m back from travelling across the GCC (and my circadian rhythm is still catching up!).
When I came home, I used this issue to get myself back up to speed on what’s been moving in healthcare AI.
So here’s this week’s breakdown, with Wispr Flow kindly sponsoring this issue.
Better prompts. Better AI output.
AI gets smarter when your input is complete. Wispr Flow helps you think out loud and capture full context by voice, then turns that speech into a clean, structured prompt you can paste into ChatGPT, Claude, or any assistant. No more chopping up thoughts into typed paragraphs. Preserve constraints, examples, edge cases, and tone by speaking them once. The result is faster iteration, more precise outputs, and less time re-prompting. Try Wispr Flow for AI or see a 30-second demo.
Your shortcut for this week:
Read on for the full breakdown of what shaped healthcare AI 👇
Solutions and Launches
Amazon One Medical (US): Launched a beta “Health Insights” feature in the One Medical app that uses Lifeforce to analyse 50+ biomarkers from routine blood tests and group results into areas like cardiovascular and metabolic health. It also connects to One Medical’s AI assistant so members can ask follow-up questions and get plain-language explanations. [Link]
Mayo Clinic Platform (US): Integrated "OMOP Oncology" standards into its research ecosystem. This allows developers to access structured, real-world cancer data (like tumor staging and biomarkers) across distributed systems, accelerating the creation of new AI models. [Link]
Oracle Health (UK): Launched its ambient “Clinical AI Agent” (Clinical Note) in the UK after pilots at Barts Health, Imperial College Healthcare, and Milton Keynes University Hospital. It uses ambient voice to draft clinical notes and letters during consultations. [Link]
EBSCO Clinical Decisions (Global): Launched “Dyna AI Mode” inside DynaMed®, DynaMedex®, and Dynamic Health™, positioning it as a new entrant in the AI-CDS space. Dyna AI is currently unavailable in the EU. [Link]
Governance, Policy, and Ethics
AI Care Standard™ (US): A group of health systems and patient-safety experts launched a new standard for AI tools that message patients (portals, chatbots, outreach). It sets 10 core checks and an evaluation tool to review safety, clarity, transparency, and oversight. [Link]
MHRA (UK): Announced that future "AI as a Medical Device" regulations will diverge from standard hardware rules. This confirms that software will face a distinct, likely more iterative, compliance pathway than traditional devices. [Link]
Ministry of Health (India): Announced SAHI (a national framework for safe, ethical health AI) and BODH (a privacy-preserving platform to benchmark AI models on real-world health data without sharing the underlying datasets), set to launch at the India AI Summit. [Link]
Research and AI Advancements
Advancing healthcare AI governance through a comprehensive maturity model based on systematic review: Introduced HAIRA, a five-level maturity model built from a systematic review of 35 healthcare AI implementation/governance frameworks, to help organisations assess AI governance readiness across seven domains and set resource-appropriate improvement targets. [Link]
Artificial intelligence-based incident analysis and learning system: Validated "AI-ILS" to automate the analysis of patient safety incident reports. The model matched human expert categorization 88% of the time but operated 29x faster, addressing the labor-intensive nature of manual review. [Link]
AI System Using Unsupervised Learning to Discover Novel Subtypes in Alzheimer’s Disease: Used unsupervised learning on MRI data to identify five hidden subtypes. [Link]
Partnerships & Adoption
Cognizant & Google Cloud (US): Expanding their partnership to bring "agentic AI" to large enterprises. These systems go beyond chatbots to actively execute tasks and automate business workflows at scale.[Link]
Ubie & Mayo Clinic (US): Partnering to build an AI tool that checks symptoms and schedules appointments. It automates patient intake, ensuring people are routed to the right care setting instantly rather than just booking a generic slot. [Link]
Sutter Health & OpenEvidence (US): Partnered with OpenEvidence to launch its AI-powered medical search and decision-support platform within Epic EHR workflows, enabling clinicians to run natural-language searches for guidelines, studies, and clinical evidence. [Link]
Sift Healthcare & Hartford HealthCare (US): Expanded their partnership to embed AI directly into revenue cycle workflows. The collaboration focuses on using predictive analytics to identify potential claim denials upstream, aiming to improve payment accuracy and reduce administrative rework. [Link]
Flok Health (UK): Expanded its digital physiotherapy clinic to 11 NHS regions. By automating triage and video appointments, they cut back pain waitlists by 50%. [Link]
Bets on the Next Health System
Investments:
Garner Health (US): Raised $118M (Series D) to rank doctors based on outcomes and cost. [Link]
Anterior (US): Secured $40M (Series A) to automate payer-provider administration. [Link]
Take2 (US): Raised $14M Series A to Automate Healthcare Recruiting with Autonomous AI Agents. [Link]
Seamflow (Europe): Raised $4.5M (Seed) to build AI workflows for medical device certification. [Link]
Sable Bio (UK): Raised €3.15M (Seed) to predict drug safety and toxicity. By flagging risks early in development, they aim to prevent costly late-stage clinical trial failures. [Link]
M&A:
That’s a wrap for Edition #19 of Health AI Foresight.
My goal with this newsletter is simple - to connect the present, the emerging, and the future of healthcare AI.
See you next week.
- Dr. Aboufandi
📩 Something stand out? Or have a suggestion? Hit reply - I read every message.