Julie Yoo

I sat down with Frontegg CEO Sagi on scaling CIAM for Insight Health. A few highlights from our convo, • Day-one enterprise readiness (HIPAA, multi-org, customizable access policies) • Why “build your own auth” slows growth (SSO/RBAC/SCIM, audit logs) • Delegated admin so partners self-manage without pinging engineering • CIAM as a GTM enabler for AI agents and clinician workflows Replay + transcript: https://lnkd.in/grRed-C5

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How AI Makes Medicine More Humane: An Analysis by Chatfuel CEO A new article from Fedor Pak, CEO of our portfolio company Chatfuel, has been published. Pavel wrote a column in MedCity News about how AI is transforming patient interactions in clinics. Key points from the article worth taking note of: ▪️ AI shouldn't replace doctors; it should assist. Medical clinics don't need an "all-knowing digital doctor." A much more useful tool is a "polite assistant with maximum functionality," who reminds patients about appointments 24/7, forwards instructions, answers common questions, and helps with scheduling. ▪️ Time savings and revenue growth. In real-world cases, communication automation allows clinics to process 3-5 times more requests without hiring new staff, reduces the number of patients who don't show up for appointments without warning by up to 45%, and increases the volume of paid procedures by 20-40% per week. ▪️ Automation makes clinics more humane. Doctors spend an average of almost 6 hours maintaining electronic medical records for every 8 hours they spend seeing patients. When AI takes over routine tasks, doctors arrive at their appointments less burned out and more focused. ▪️ It's not just about chatbots; communication automation is just the first step. AI support for clinical decision-making, predictive follow-ups, automated documentation, and more innovative anamnesis collection processes will follow. If you work in HealthTech or clinics, I recommend reading the entire article. It's an efficient and insightful look at the implementation of AI in healthcare. 🔗 Read the article on MedCity News: https://lnkd.in/eW8Nr-s6

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coming in hot...these health tech companies driving the future of medicine closed funding rounds q3 and are actively growing! 1. Develop Health -ai platform aimed at streamlining prior authorization and benefits verification for healthcare providers 2. Twin Health -ai platform, which uses "digital twin" technology for personalized diabetes management 3. Predoc - ai-native platform that automates health information management, reducing record retrieval times by up to 75% 4. CHARM Therapeutics- next-gen menin inhibitor for AML into clinical development 5. EliseAI - the AI company automating complex healthcare and housing systems 6. Arintra -  delivering a unified platform that combines autonomous medical coding, clinical documentation improvement, and denial prevention 7. MapLight Therapeutics, Inc. - leverages AI to map brain circuits and discover novel treatments for brain disorders 8. Ultromics - AI platform for detecting heart failure through echocardiograms 9. Silna - offers hybrid maternal care services combining telehealth and in-person visits to reduce maternal mortality and improve outcomes 10. Imagine Pediatrics - virtual pediatric medical group, focusing on children with special needs 11. Apreo Health - emerging clinical-stage medical device company dedicated to restoring health and quality of life to patients afflicted with severe emphysema 12. Jocasta Neurosciences Inc. -a proprietary formulation to treat cognitive impairment in neurodegenerative diseases 13. Isaac Health -  a virtual and in-home clinical service for dementia and other brain health conditions 14. Sleep.ai-  ai-powered sleep platform that helps companies integrate advanced sleep insights into their products and services 15. Leal Therapeutics -  treatments for neuropsychiatric and neurodegenerative disorders 16. Aidoc - delivers clinical ai that empowers healthcare providers with faster, more accurate decision support 17. OpenEvidence - leading medical information platform who am I missing? drop companies below!

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Something to note from Menlo Ventures's incredible AI in healthcare report....their data confirm what many of us in health systems already feel coming: AI adoption will INCREASE administrative volume before it reduces it. Payers expect, in the next 12–36 months: 63% major jump in call volume 50% more codes per claim 40%+ higher claim volume 38% more prior auths 31% more appeals + resubmissions When documentation gets easier, volume is going to skyrocket. Implications we’re already planning against: - AI adoption doesn’t remove work inherently; it redistributes it across the ecosystem. Workflow redesign is critical. - Providers need guardrails to prevent over-generation of documentation and requests. More noise helps noone. - Startups must show cross-stakeholder ROI, not siloed productivity gains... - Health systems need a system-wide AI playbook, or every local win creates a downstream backlog. This next 2-3 years will either widen payer–provider tension or force real alignment. I'm not counting on the latter. Curious how others are preparing.

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