Agenda

Before we start a full, amazing day at GovAI Summit: Health, join us for a networking breakfast on the restaurant level of Upside on Moore. 

Welcome to this special GovAI: Health symposium. Get ready for a truly impactful day of learning across the landscape of how AI is impacting and improving healthcare policy, services, and the patient-provider relationships. We kick off today's fun with a few opening remarks to help you make the most of your day.

Explore how AI is reshaping veterans’ healthcare services by driving efficiencies, personalizing care, and improving access. This keynote highlights real-world case studies, including predictive analytics for mental health interventions and telehealth advancements, demonstrating how AI is creating scalable solutions for veterans' health challenges while enhancing outcomes.

Delve into the transformative role of AI in managing public health crises, from early outbreak detection to resource optimization. This session examines AI-driven tools that enable agencies to predict health emergencies, allocate resources effectively, and make data-informed decisions in real time. Gain insights into the future of AI-powered resilience in federal healthcare systems.

Discover how AI technologies are modernizing Medicare and Medicaid by enhancing fraud detection, streamlining claims processes, and improving service accessibility. This keynote explores cutting-edge applications of AI that improve operational efficiency while delivering better citizen experiences, showcasing the transformative potential of AI in large-scale healthcare programs.

Examine the complex ethical considerations surrounding AI in healthcare, including fairness, data privacy, and algorithmic bias. This keynote provides actionable frameworks for building ethical AI systems that align with public trust, regulatory standards, and equitable healthcare delivery. Learn how federal health agencies are addressing these challenges while fostering innovation.

Explore how AI is accelerating breakthroughs in health research, from genomics and precision medicine to vaccine development. This session highlights federal collaborations with academia and industry, demonstrating how AI tools are unlocking new possibilities in health data analysis, predictive modeling, and clinical trials.

Before we kick off the first classes of the day, grab some fantastic food on the restaurant level of Upside on Moore. Choose from many food options, do some networking, and visit with our fantastic sponsors.

Develop a comprehensive strategy for integrating AI into federal health initiatives. This session focuses on aligning AI investments with organizational goals, prioritizing impactful use cases, and creating roadmaps that balance immediate needs with long-term scalability. Through case studies, participants will explore how to overcome barriers such as limited resources, workforce resistance, and infrastructure challenges.

Learn how AI is transforming public health analytics by enhancing disease surveillance, trend forecasting, and resource optimization. This session delves into the fundamental AI techniques used to analyze large datasets, predict outbreaks, and allocate resources effectively. Attendees will gain actionable insights into designing AI-driven systems that improve public health outcomes.

Dive into the innovative AI solutions transforming veterans’ healthcare, from predictive models for early diagnosis to telehealth platforms improving accessibility. This session explores practical examples of how AI is delivering personalized care, improving mental health outcomes, and addressing the unique challenges of serving veterans.

Learn how to design ethical AI systems that prioritize fairness, equity, and transparency. This session provides tools and frameworks to address algorithmic bias, ensure regulatory compliance, and build public trust in AI-driven healthcare initiatives.

Collaborate with peers to design AI-enabled solutions for managing large-scale health initiatives. This session focuses on optimizing resource allocation, addressing health disparities, and improving equity in population health management.

Learn advanced techniques for building secure and scalable AI models tailored to federal healthcare needs. This session covers data preprocessing, feature engineering, and model evaluation, equipping developers with practical skills for creating impactful solutions.

We have a plethora of delicious lunch options to choose from onsite, all included in your ticket. Enjoy some gastro delights and get to know some of your fellow attendees.

Discover strategies for scaling AI initiatives across federal health agencies, ensuring interoperability and operational alignment. This session explores the technical, cultural, and logistical considerations of cross-agency collaboration, emphasizing best practices for building scalable AI systems that address common healthcare challenges while maintaining compliance and efficiency.

Explore how AI tools are revolutionizing operational efficiency in healthcare, from patient flow optimization to automated resource scheduling. This session highlights real-world applications of AI in reducing costs, minimizing errors, and improving service quality, offering attendees strategies to implement these solutions within their agencies.

Discover how AI technologies are enabling faster and more effective public health emergency responses. This session examines applications such as AI-driven vaccine distribution models, outbreak prediction systems, and tools for real-time decision-making, providing attendees with strategies to implement these solutions in their agencies.

Understand the regulatory landscape governing AI in healthcare and learn strategies for aligning AI initiatives with HIPAA and other federal standards. This session explores risk mitigation, data privacy, and tools for maintaining compliance without stifling innovation.

Work in teams to develop AI-driven strategies for addressing public health emergencies. This session explores use cases like outbreak containment, vaccine logistics, and real-time crisis communication, providing actionable solutions for rapid deployment.

Explore the complexities of integrating AI systems into legacy health IT infrastructures. This session addresses challenges in data migration, system interoperability, and upgrading outdated technologies to support AI innovation.

Grab a beverage and a snack, continue the conversations of the day, and visit some more with our sponsors.

Learn how to leverage public-private collaborations to drive AI innovation in federal healthcare. This session provides insights into forming effective partnerships with industry leaders, academia, and non-profits, focusing on shared funding models, data-sharing agreements, and pilot program development to accelerate AI adoption and impact.

Understand the critical role of data governance in AI-driven healthcare initiatives. This session examines strategies for managing sensitive health data, ensuring interoperability, and maintaining compliance with federal privacy and security standards. Learn how to create robust governance frameworks that enable AI adoption while protecting data integrity.

Explore how machine learning models are revolutionizing fraud detection in Medicare and Medicaid programs. This session covers real-time detection techniques, predictive analytics, and implementation strategies to enhance program integrity while reducing costs and errors.

Explore the key performance indicators and evaluation frameworks that measure the success of AI initiatives in federal health programs. This session provides attendees with tools to assess efficiency gains, patient outcomes, and overall program impact.

Address the challenges and opportunities of cross-agency data sharing and interoperability. This session provides frameworks to balance innovation with privacy, compliance, and secure data exchange, fostering collaboration in federal health systems.

Master natural language processing (NLP) techniques to enhance healthcare applications, including medical record analysis, conversational AI for patient engagement, and clinical query systems. This session provides practical guidance on deploying NLP models in compliance with healthcare standards.

After a fantastic and FULL day of learning and networking, join us on the restaurant level at Upside on Moore for an afternoon reception complete with food options and all the beverages you could find to your liking.

We'll have a Demo Hour happening during the reception and plenty of time for you to make those final connections before you head out.