Data Operations IL: From Raw Data to Healthcare Insights
Join the Data Operations IL community for a deep dive into the world of medical data—where health, human, precision, privacy, and scalability meet the challenges of real-world applications.
Medical data fuels AI models, analytics, and patient care, but working with it comes with unique hurdles: ambiguity, regulations, and complex data structures. From data collection to labeling, we’ll explore the tools, methods, and teams needed to handle the annotation of medical datasets.
We will be hearing 3 super interesting talks from experienced professionals working at the intersection of data operations, healthcare, and AI:
🩺 From Chaotic Data to Patient Insights, Roei Magen, MD, Medical Manager @ Navina
Patient data in the US healthcare system is notoriously fragmented and messy. Discover how Navina leverages machine learning and AI-driven clinical decision support systems to extract actionable insights and enhance patient outcomes across the continuum of care.
⌚ What Can 5,000 Smartwatches Teach Us About PTSD, Vaccines, and National Trauma?– Adi Sarid, PhD, CEO @ Sarid Research
Dive into the data operation behind one of Israel’s most ambitious personal medicine studies. Learn how we managed a sensor-rich, real-time dataset from wearables to understand the physiological impact of major public health events.
🧠 When Data Meets Talk Therapy – Natalia Szapiro, Clinical Experts Team Lead @ Eleos Health
How do you structure and analyze unstructured clinical conversation data? You’ll hear how the clinical experts at Eleos tackle the unique hurdles of therapy data, ensuring data integrity,and bridges the gap between data science and clinical psychology—all while building in-house tools to ensure data quality and trust.
📅 Schedule:
🕕 17:30 – Mingling & Snacks
🕡 18:15 – Opening Words
🎙 18:30 – Talks
💬 19:30 – Open Discussion (For those interested in talking more)
Don’t miss out—RSVP now to secure your spot!
🔹 The event will be held in Hebrew and will not be recorded.
🔹 There are safe rooms in the building in case of sirens.