Secure Scalable Healthcare Analytics: Integrating Elastic Stack and GenAI
Engineer, Hyperflex
Join us for an exciting look at how the next generation of AI is transforming healthcare. We are moving beyond basic data storage to show you how a "Search AI" approach can make your medical data work harder for you. Whether you are looking to speed up research or improve patient experiences, this session reveals how to use Elastic as a powerful engine to organize, find, and protect your most important information.
- Simple Data Discovery: How to create a "search layer" that sits on top of your current systems to find what you need instantly.
- Private and Secure AI: How to run advanced AI models inside your own secure walls so sensitive patient data never has to leave your control.
- From Text to Action: Ways to automatically pull key details out of doctor-patient conversations to save time and reduce paperwork.
- Real-Time Dashboards: How to use simple, visual tools like Kibana to see what is happening in your organization right now.
See how healthcare teams are using Elastic to turn massive amounts of data into clear, life-saving actions. By using smart search tools and private AI, hospitals can now automatically summarize doctor-patient notes, spot health trends in real-time, and keep patient records completely secure within their own systems. These tools help staff spend less time on paperwork and more time on what matters most: patient care.
- Total Privacy: Learn how to use "air-gapped" setups where your data stays local and completely private.
- Cost-Smart Scaling: Discover how to grow your AI projects without breaking the budget by using smart cloud and local hosting tricks.
- Real-Time Dashboards: How to use simple, visual tools like Kibana to see what is happening in your organization right now.
Speakers
Vishal is a seasoned Elastic Stack expert with over five years of hands-on experience. As a 3x Elastic Certified professional, he has successfully managed large-scale Elastic deployments and led significant retail search projects. His comprehensive expertise spans all use cases of the Elastic Stack—including Observability, Search, and SIEM.
Miroslav Mihaylov, PhD, is a seasoned data and AI specialist with a decade of experience in healthcare analytics and enterprise platform engineering.
A long-time Elasticsearch user, Miroslav fell in love with Elastic since version 1.04 and has been a full-time user and close follower ever since. He brings deep expertise in leveraging the ELK Stack for scalable analytics in highly regulated environments.
Miroslav holds a PhD in Physics and an MS in Business Analytics from the University of Illinois at Chicago. His background as an experimental physicist and former LAMP stack developer. Additionally, he is a former Elastic Certified Engineer.
Ploy Wongtaladkwon is a Marketing Coordinator at Hyperflex with a background in social media marketing, content strategy and B2B marketing. Ploy’s career spans marketing strategy, content creation, and event coordination. She holds a MS in Marketing Analysis from DePaul University, Chicago, IL, United States.