Webinar

Building Trustworthy Healthcare AI: Why Medication Intelligence Matters

Available on-demand

60 Minutes

Join us to explore how digital health technology companies can build more trustworthy, clinically relevant AI by strengthening the medication intelligence that supports their workflows. This discussion will examine why medication-related complexity shows up across a wide range of healthcare AI use cases, and what it takes to support these use cases responsibly and at scale.

We’ll explore how structured, transparent, and evidence-based medication intelligence can help reduce engineering burden, improve oversight, and enable more scalable AI-driven workflows. We’ll also examine why trusted clinical content that is grounded in continuously maintained data and current medical knowledge is an essential foundation for innovation and reducing risk.

Key insights include:

The foundational role of medication intelligence in healthcare AI, and its impact on prescribing, documentation, decision support, patient engagement, and care coordination
How to identify and address challenges in medication-related AI workflows for ensuring clinical reliability and consistency, including content, terminology, education, and integration patterns.
Strategies that leverage governance, explainability, and integrated intelligence to shape more trustworthy AI systems with a “better together” approach
Why workflow-ready medication intelligence is becoming critical to scaling broader clinical AI strategies and improving end-user experience

Speakers

Andrew Ibrahim

Chief Clinical Officer

Viz.ai

Andrew M. Ibrahim, MD, MSc is Chief Clinical Officer at Viz.ai and a practicing surgeon-scientist at the University of Michigan. He works at the intersection of artificial intelligence, clinical care, and health system performance.

Dr. Ibrahim completed his undergraduate and medical degrees from Case Western Reserve University, additional health policy training as a Doris Duke Fellow at Johns Hopkins, a Crile Fellow at Princeton University and a Robert Wood Johnson Clinical Scholar at the University of Michigan.

Dr. Ibrahim has authored more than 200 peer-reviewed publications and has testified before the U.S. Congress on the responsible adoption of AI in healthcare. He previously served as Chief Medical Officer at the global design firm HOK, helping lead more than $4 billion in large-scale health and infrastructure projects. His work focuses on translating innovation into measurable improvements in patient outcomes and system efficiency.

Matt Sullivan

Associate Director, Product Management, Wolters Kluwer Health

Matt Sullivan is a solution thought leader at Wolters Kluwer, Health, specializing in new product innovation with an emphasis on virtual care and digital health solutions.

Rich Lau

VP of Global AI Transformation

Omnicell

Rich Lau is a transformational technology executive with more than 20 years of experience leading global engineering organizations at enterprise scale. Currently serving as VP of Global AI Transformation at Omnicell, he owns the company's enterprise-wide AI vision, driving its evolution into an AI-first healthcare technology organization through applied machine learning, generative AI, and responsible AI governance frameworks. Previously, Rich held senior engineering leadership roles at Honeywell International, where he built and scaled IoT platforms across 100+ engineers spanning the US, Europe, and Asia, and at CA Technologies, where he pioneered intelligent automation and virtualization platforms that propelled the company to market leadership in cloud management. Rich brings a distinctive perspective on how organizations can harness AI responsibly at scale, drawing on deep technical expertise across healthcare technology, industrial IoT, and enterprise software, and a sustained record of innovation recognized across 13+ patents.

Register here to watch on-demand!

Already registered? Click here to login.