EP10 Dr. Travis Zack MD PhD and Varun Mangalick BS, Open Evidence
Episode 10 Show Notes
🚑 AI-Powered Clinical Decision Support & Workflow Optimization – In this episode, Dr. DJ Apakama & Dr. Ethan Abbott sit down with Dr. Travis Zack and Varun Mangalick to discuss how AI is revolutionizing clinical decision-making, optimizing workflows, and reducing administrative burden.
🎙️ Featured Guests:
Dr. Travis Zack, MD, PhD – Assistant Professor at the Helen Diller Family Comprehensive Cancer Center at UCSF. His clinical focus is pancreatic oncology, and his research lab develops descriptive and predictive models for electronic medical data. He serves as Lead Physician & Consultant at Open Evidence, helping shape how the platform answers medical questions in an expanding information landscape.
Varun Mangalick, B.S. – Software Engineer at Open Evidence, specializing in mathematics and computer science. He studied at MIT and has worked at multiple startups in health and biotech.
🧠 Key Topics:
✅ AI & Clinical Decision Support – How AI-powered tools like Open Evidence assist physicians in real-time diagnosis & treatment planning.
✅ Reducing Administrative Burden – Leveraging AI to streamline documentation, summarize patient records, and minimize physician burnout.
✅ AI in Evidence-Based Medicine – How AI helps synthesize medical research for better decision-making at the bedside.
✅ Future of AI in Healthcare – The evolving role of AI in optimizing workflows while maintaining clinical oversight.
📄 Papers Discussed:
📰 Deepseek Discussion – "DeepSeek-V2: Towards Better Reasoning Large Language Models" (ArXiv, 2025) – A study analyzing advancements in LLM reasoning capabilities and implications for AI-powered clinical support. 🔗 Read here
📰 Dr. Zack’s Recent Work – "Leveraging Real-World Data to Improve Cancer Care Through AI: A Call to Action From the Alliance for AI-Driven Digital Health" (JCO Clinical Cancer Informatics, 2024) – This paper highlights the importance of real-world data in AI-driven oncology research and discusses strategies for integrating AI into clinical cancer care. 🔗 Read here
🔍 Why it Matters:
AI is moving from basic automation to advanced decision-making tools. This episode explores how new AI technologies are reducing cognitive load and improving patient care in real-world clinical settings.
🎧 Listen now & stay ahead in the AI revolution for healthcare!
🔗 Link to Open Evidence
