Annika Lundström’s Post

Over half the hospitals in the country operated at a financial loss last year. From labor shortages to health worker burnout, AI can help solve some of the most pressing challenges in healthcare. But, at the end of the day, even the best models will fail without broad distribution and profitable monetization. So Julie Yoo, a16z general partner, and Jay Rughani, a16z investment partner, interviewed nine enterprise healthcare leaders from UPMC, Blue Shield of California, Bassett Healthcare Network, and more, to understand how they evaluate healthcare AI solutions. If you're building AI for healthcare, it's a "can't miss" episode. Listen on Raising Health: https://lnkd.in/g43nPv3t

https://lnkd.in/gS9-f-TY Join me at Together.Health at ViVE for an engaging conversation about #healthequity 1:30 PM — 2:30 PM LACC, Room 406AB, Level 2 Are We Killing Health Equity? This will be an engaging discussion on how the disinvestment of DEI programs will impact health equity initiatives and the use of AI for underrepresented populations. Hear the perspective from from government agencies, founders, VCs and accelerators. Speakers: Stephen Konya Kirk L. Barnes Olyvia P. Sahee Abdelmomin #vive2024

In case you missed my webinar about GenAI & The Silver Society you can watch the recording via this link: https://lnkd.in/ekxDqR2P

Big conferences are always a rush. In all of the excitement, Stephen Hardy wrote down a few thoughts on his way back from #NACCHO360. Hint: There were many conversations about great work happening all over the country with innovative, AI-ready data. Read his blog now: https://hubs.la/Q02Kf0VC0

"Exciting project update! 🚀 I've been working on developing a machine learning (ML) based prediction model to forecast the risk of heart disease and diabetes. 💻 It's been a challenging but rewarding experience. 📈 By leveraging the power of ML, we can help healthcare professionals make more informed decisions and improve patient outcomes. 🏥 I'm grateful for the opportunity to work on this project and contribute to the advancement of healthcare technology. 💡" #MachineLearning #Healthcare

Looking forward to this morning's Healthcare Entrepreneur Meetup Session! Networking followed by Founder presentations: 1.     Courtney Richards – DMEconnected: The fastest & easiest way to get patients Home Medical Equipment, Services, and Therapy they need, when they need it. 2.     Christine Nicodemus – Wayhaven: Empowering students with 24/7 mental wellness support, fostering success and resilience in college life. 3.     Gerald Carter – Destined AI: AI first platform: combating biases in AI through good data. 4.     Blake Stoner – The Vngle Grassroots News Agency: Various angles of nonpartisan coverage. We mobilize creators to help combat underrepresentation & misinformation. Highlighting recent work in healthcare.

😬 Double-bookings causing headaches in your clinic? Here's how to prevent them easily... We all know how disruptive overlapping appointments can be—not just for your staff but for your patients too. They lead to frustration, delays, and a chaotic clinic environment. But here’s the thing: It doesn’t have to be this way. Imagine a clinic where double bookings are a thing of the past, where your schedule runs like clockwork, and your patients leave satisfied every time. Sounds like a dream, right? It can be possible with the right AI tools! In this carousel, I’ll show you exactly how to prevent double bookings and streamline your clinic’s operations. 💡 Ready to take control of your clinic’s schedule? Swipe through to discover practical tips and solutions. Now, I have a question: How does your clinic currently handle scheduling challenges? Let’s discuss in the comments below, so that everyone in the community benefits! 👇

📍 Thrilled to share a glimpse into my latest project with Mentorness !! 🚀Discussing how to" Enhance Disease Diagnosis through Predictive Modeling". Highlighting advancements in data preparation, model training, and disease classification, showcasing the potential of machine learning in healthcare. Our focus remains on refining feature selection, model optimization, and deployment readiness to better serve healthcare professionals and patients alike .🌟 #Mentorness #HealthTech #MachineLearning #InnovatingHealthcare"

Here’s a little of what I’ve been up to…working with and learning from Deloitte’s leaders in federal health x AI. Check out what we’re exploring at the intersection of public health and AI.

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