Administration
An-Kwok Wong, MD, PhD
Duke University Medical Center
Disclosure(s): Merck Sharp & Dohme Inc.: Consultant (Ongoing), Consulting fees or other remuneration (Ongoing); Synappse: Owner/Co-Owner Founder/Co-Founder (Ongoing)
The promise of clinical decision support, electronic health record (EHR) optimizations, and AI/ML-driven insights in critical care is enormous—but successful implementation remains a major challenge. Many hospitals invest in advanced health information technology tools, yet clinicians still struggle with alert fatigue, fragmented data, and inefficient workflows. The key to making these technologies effective is not just developing better algorithms—it is ensuring seamless integration, clinician adoption, and real-time data usability at the bedside. This session will focus on practical implementation strategies for deploying next-generation decision support tools, optimizing EHR workflows, and scaling AI/ML models in critical care settings. Speakers will share first-hand experiences from real-world deployments, discussing key lessons, barriers, and solutions to help health systems achieve meaningful improvements in patient care.
Svetlana Herasevich, MD, MS (she/her/hers) – Mayo Clinic
Adel Bassily-Marcus, MD – Yale Medicine
Brian P. Murray, PharmD, BCCCP – University of Colorado Skaggs School of Pharmacy