We built an AI agent that finds open psychiatric beds by listening to the phone calls people were already making. It is called AloraAI, and it just took 2nd place at Abridge x Anthropic x Lightspeed Hackathon.🥈 When someone is in a mental health crisis, the hard part often is not that there are no beds. It is that nobody can see where the open ones are in real time. Who has capacity right now lives inside hundreds of placement phone calls, and it disappears the second each call ends. So every morning, the next case manager basically starts over. AloraAI holds onto that. It sits in on every placement call, hears what each facility says about open beds, waitlists, and who they will take today, and writes it into a living knowledge graph. A map of the whole network that keeps itself up to date and gets a little smarter with every call. It also rides along on the call, pulling answers straight from the patient's chart and flagging anything the record does not support. The case manager still runs the call and makes every decision. The agent just listens, cites, and remembers. The spark came from my own research. For the past two years I worked on MI ADAPTS at CHRT and University of Michigan, mapping the acute mental health crisis system and the bottlenecks that leave patients waiting in the ER for a bed that technically exists somewhere. That work showed me where the system breaks. AloraAI is my attempt at something the research never tried: not just modeling the network, but building an agent that goes out and keeps the map true on its own, one live call at a time. The thing I am taking home: systems modeling shows you where a system breaks, and agentic AI can go stand in that spot and actually do something about it. Thank you to the organizers Abridge, Anthropic, Lightspeed, and Cerebral Valley for a weekend that pointed real tools at real problems. To the mentors and builders I met along the way, Shiv (Shivdev) Rao, Chase Yarbrough, San Oo, Katie Brown, Michał Nedoszytko MD, PhD, thank you for the conversations, I learned so much. Grateful to my teammate Swindar Zhou for building this with me, and to everyone building at the human edge of healthcare.

Just wrapped up teaching in Stanford's MS in Clinical Informatics Management (MCiM) Program; a graduate degree focused on the technological transformation of health care. We finished yesterday with a three-hour session on designing and implementing AI processes within organizations: matching the right AI tool to the task, weighing the risks unique to AI, and evaluating AI return-on-investment. This was a terrific group and I look forward to seeing what they do next in their careers! Stanford MCiM - MS in Clinical Informatics Management, Kevin Schulman, Veronica Schulte

Someone asked me 'what's the rush?' today in regard to starting my master's. I had to think about it, and the only way I could explain it is this - at some point in your life, you start to really appreciate the fortunes in your life--those you met, those that took an interest to share and guide; the inherent traits you may have gotten to start a rung or two ahead on; and when you do, you almost feel this guilt that as much as you want to put it outward into the world, you still feel more like the primary beneficiary. You know that it's to best equip to sow those rewards, and plow them back into the world in a way it most needs it. You know that eventually, it'll all make sense and in the most ideal of worlds, when it's all said and done you'll sit back and say, 'I did everything I could to put it back into the universe'. And then, you get to feel how you really were a means to the end. Right now, I am over abundant with gratitude. Almost uncomfortably so. I seek to hopefully one day, be comfortable. And that'll only come when the scales have really tipped into having reinvested it all forward, and left the world with as little as possible. That's the rush. Because how else do you reciprocate for the world, what it's arranged for you? #asco #avbcc #40under40 #cancercare

Having navigated the full lifecycle of MedTech innovation - from startup to scaling, enterprise acquisitions, and integrations - I have learned that innovation does not end when a product hits the market. Throughout my multidisciplinary career, I have collaborated with exceptional colleagues and physician advisory boards to launch impactful products and therapies. Yet, cutting-edge R&D and robust clinical evidence only fulfill their true purpose when hospitals have seamless access to these technologies, and clinicians can integrate them into their daily workflows without friction. While innovation remains our bedrock, leaders must learn and understand the entire healthcare ecosystem and its bottom line just as well as the R&D pipeline. This is why I am intentionally broadening my focus across the full healthcare continuum. I have commenced the Stanford MCiM - MS in Clinical Informatics Management program, immersing myself in the clinical, operational, and financial realities of healthcare delivery. I chose Stanford University specifically because MCiM was established on a critical trifecta: bridging clinical reality, business strategy, and technology application, especially Artificial Intelligence (AI). It is humbling to return to the classroom alongside a diverse cohort of clinicians, business strategists, and technologists, but I am choosing to get comfortable being uncomfortable. By grounding myself in these fundamentals, I aim to understand clinical dynamics and learn how to leverage technology meaningfully, lead digital health transformation with AI, and solve real-world problems. My focus is on bridging the gap between those who create medical technologies and those who depend on them. I look forward to learning from this remarkable MCiM group and sharing my skills and expertise to enrich our collective experience. #Stanford University School of Medicine #MCiM #DigitalHealth #AIinHealthcare #MedTech

With a grateful heart, I'm blessed to share that I've commenced the Master of Science in Clinical Informatics Management (MCiM) at Stanford University as a Knight-Hennessy Scholars - the first Iraqi/Kurd ever admitted to this program and named to this honour. From a lower-income family in rural Iraq, I grew up dreaming of inventions that could spare humanity from suffering. Medicine taught me to save lives one patient at a time. Stanford will help me do it at scale - through a unified interoperable digital health platform connecting public and private healthcare across low- and middle-income countries. This decision came after being humbled by the generosity of America's greatest institutions - from receiving the Dean's Scholarship at The Johns Hopkins University to substantial offers from Harvard University, Columbia University, Yale University, and New York University. I aspire to collaborate actively with each. Stanford's place at the heart of Silicon Valley and AI innovation made it the only choice for this mission. I am forever indebted to my mentors and role models - Rocky Blumhagen, Richard Royse, Dr. John Hennessy, Dr. Tina Seelig, Dr. Kevin Schulman, Dr. Azad Haleem, Adam Sapp, Karen Leshner, Harriet Katz, and Richard Mandeberg - whose wisdom and belief changed my life. To my family and every patient who trusted me - this belongs to you. And on this 250th birthday of America 🇺🇸 , I stand in awe of this nation's spirit of opportunity and innovation - thank you for welcoming dreamers like me. The best way to repay this blessing is through service. #Stanford #KnightHennessyScholar #HealthInnovation