Dr. Lukasz Kowalczyk, a practicing gastroenterologist and Healthtech advisor with experience at the Mayo Clinic AI Accelerator, shares insights on how AI can revolutionize healthcare. He discusses automating surgical scheduling to improve efficiency and clinical safety. Dr. Kowalczyk highlights the empowerment of under-resourced staff through AI decision support tools. He also addresses challenges in AI adoption, emphasizing the importance of understanding workflows and building trust among physicians. His lessons from building AI platforms are invaluable.
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question_answer ANECDOTE
Building A Surgical Scheduling Platform
Lukas built an end-to-end surgical scheduling automation platform to solve no-shows and misinformation in his practice.
He sold it in 2021 and joined the acquiring company, then entered the Mayo Clinic AI Accelerator in 2022.
insights INSIGHT
Data Access Defines Product Moat
Access to data and exclusivity determine a product's value and moat more than the idea itself.
Accuracy of models does not guarantee clinical utility or adoption in workflow-constrained settings.
volunteer_activism ADVICE
Run An Early AI Go/No-Go
Start projects with business understanding and run an AI Go/No-Go on data, business, and implementation feasibility.
Control scope when data quality or access is poor and iterate from early, simple wins.
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In this episode of AI Today, host Kathleen Walch, Director, AI Engagement and Community at PMI, continues the AI in Healthcare mini-series, produced in partnership by PMI and the Healthcare Information and Management Systems Society (HIMSS). Kathleen sits down with Dr. Lukasz Kowalcyzk, a practicing gastroenterologist and seasoned Healthtech advisor, to explore how AI can meaningfully support operational efficiency, clinical decision-making, and healthcare equity.
Tune in to learn how AI is advancing healthcare through:
Automating surgical scheduling by embedding clinical intelligence into workflows, helping schedulers deliver safer and more consistent care instructions
Empowering under-resourced staff through AI-enabled decision support, boosting the performance of surgical schedulers without requiring high medical literacy
Navigating AI deployment challenges—from lack of data access to user adoption—and designing around real-world constraints in community and rural care settings
Building trust and clinical adoption by deeply understanding user workflows, embedding human-in-the-loop systems, and preserving physician autonomy in decision-making
Moving beyond pilot purgatory by prioritizing early wins, cross-functional buy-in, and practical tools designed for low-data-maturity environments
Dr. Kowalcyzk also reflects on lessons learned from building and selling AI-enabled platforms, his experience in the Mayo Clinic AI Accelerator, and the importance of designing for both people and processes—not just technology.
Whether you're a healthcare leader, project manager, or curious observer, this episode offers practical, hopeful, and forward-looking insights on building AI-enabled healthcare systems with empathy and vision. To learn more about on AI in healthcare, including access through HIMSS membership, please visit: https://bit.ly/3TSpHDZ