Beyond the Bedside: Nurses Leading In AI, Digital Transformation, and Healthtech
Beyond the Bedside: Nurses Leading in AI, Digital Transformation, and Healthtech (Virtual Event)
Date: Wednesday, December 10, 2025
Time: 6:00 PM – 7:30 PM EST
Location: Virtual (Zoom/Teams link provided upon RSVP)
Join Us for a Transformative Conversation at the Intersection of Nursing, AI, and Digital Health
Nursing is entering a new era—one where clinical expertise meets cutting-edge technology, AI-driven tools, and system-wide digital transformation. Beyond the Bedside: Nurses Leading in AI, Digital Transformation, and Healthtechbrings together nationally recognized nurse innovators, researchers, and informaticists for an inspiring conversation about how nurses are shaping the future of healthcare.
This virtual event highlights the leaders redefining what it means to practice, teach, and innovate in nursing. From artificial intelligence and predictive analytics to workflow redesign, documentation reduction, and healthtech entrepreneurship, our panelists will explore how nurses are not just adapting to the digital shift—but driving it.
Participants will gain insights into the opportunities and risks of AI in clinical care, the evolving competencies nurses need in the next decade, and how digital tools can enhance patient outcomes, support workforce well-being, and transform healthcare delivery. Whether you're a bedside nurse, student, educator, health system leader, or industry partner, this conversation will empower you to understand and shape the future of technology-enabled care.
Attendees Will Gain:
A clear understanding of where AI and digital tools are creating real impact in practice
Strategies for preparing the nursing workforce for an AI-enabled future
Insight into nurse-led innovation, entrepreneurship, and research
Inspiration to lead responsibly, ethically, and boldly in a rapidly evolving health system
Agenda
6:00 – 6:20 PM | Welcome & Opening Remarks
Kick-off, mission overview, advisor acknowledgment, and moderator introductions.
6:20 – 7:00 PM | Panel Discussion
Live conversation with our nurse leaders on AI, digital transformation, clinical workflows, and the future of nursing.
7:00 – 7:25 PM | Audience Q&A
Interactive question-and-answer session with panelists.
7:25 – 7:30 PM | Closing Remarks
Reflections, next steps, and ways to get involved.
🌟 Panelists
Rebecca Love, RN, BS, MSN, FIEL
Rebecca Love, RN, BS, MSN, FIEL is an internationally recognized nurse executive, author, and advocate for nurse-led innovation. She serves as the Chief Nursing Officer at Quadrivia, a health technology company developing Qu, an AI-powered clinical assistant designed by clinicians to support healthcare professionals in real time. At Quadrivia, Rebecca leads the clinical vision to improve care delivery, reduce administrative burden, and enhance provider workflows.
Rebecca is also a Visiting Professor and Entrepreneur-in-Residence at Florida State University’s College of Nursing, where she co-directs the Nursing and Artificial Intelligence Innovation Consortium. This pioneering effort launched the nation’s first Master of Science in Nursing (MSN) program with a concentration in AI, aligning academic excellence with industry innovation to shape the future of technology-enabled nursing care.
The first nurse featured on TED.com, Rebecca has been recognized as a LinkedIn Top Voice, Forbes Business Council contributor, and was nominated as one of Modern Healthcare’s Most Influential People in Healthcare. Her insights have appeared in Forbes, BBC, STAT, Becker’s, Fortune, and ABC News.
She founded and sold HireNurses.com, led U.S. markets for Ryalto UK, created the first Nurse Innovation program at Northeastern University, co-founded SONSIEL, launched the Nurse Hackathon, and founded the Commission for Nurse Reimbursement. As co-chair of the Nursing is STEM Coalition, Rebecca advocates for the federal recognition of nursing as a STEM discipline.
Maxim (Max) Topaz, PhD, RN, MA, FAAN, FACMI, FIAHSI
Dr. Maxim Topaz, PhD, RN, FAAN, FIAHSI, FACMI, is an Associate Professor of Nursing and Data Science at Columbia University and a Senior Scientist at VNS Health, the USA’s largest not-for-profit home healthcare provider. A pioneer in applying natural language processing to nursing documentation, his research leverages AI, text mining, and automated speech and video processing to improve healthcare delivery. He has secured over $25 million in federal funding and published more than 200 articles focused on AI solutions that predict patient deterioration from nursing notes, enhance clinical decision-making, and reduce the documentation burden for frontline nurses. Currently, he is developing innovative AI applications specifically designed to address nurses' daily challenges in practice. With clinical experience in internal medicine and urgent care, a PhD from the University of Pennsylvania, and postdoctoral training at Harvard Medical School, Dr. Topaz uniquely connects nursing practice with cutting-edge technology. His contributions to health policy, leadership, and entrepreneurship have earned him fellowships from the American Academy of Nursing, the International Academy of Health Sciences Informatics, and the American College of Medical Informatics.
Kenrick D. Cato, PhD, RN, CPHIMS, FAAN, FACMI
Kenrick D. Cato, PhD, RN, CPHIMS, FAAN, FACMI, is a clinical informatician, nurse scientist, and expert in AI-enabled decision support. He is a Professor of Informatics at the University of Pennsylvania and a Nurse Scientist for Pediatric Data & Analytics at the Children’s Hospital of Philadelphia. Dr. Cato’s research integrates machine learning, clinical decision support, and human-systems design to improve patient outcomes and clinician experience. His work spans predictive analytics for early detection of patient deterioration, environmental and social determinants of health, pediatric cohort studies, and optimization of nursing workflows. He has led multi-site research collaborations within major academic health systems, conducted randomized controlled trials of AI-driven CDS tools, and developed novel frameworks for AI literacy and governance in clinical settings. Dr. Cato also teaches and mentors interdisciplinary trainees in applied AI for healthcare, data science, and implementation science, and is widely recognized for advancing the responsible and scalable integration of AI into nursing practice.
🌟 About the host
Columbia Nursing Pathway Collective Club
Columbia Nursing Pathway Collective Club aims to empower nursing students by expanding their understanding of diverse career paths, fostering leadership skills, and providing access to interdisciplinary professional networks. Our mission is to connect nursing students with alumni, entrepreneurs, and healthcare professionals from both clinical and non-clinical backgrounds. Through networking events, panel discussions, and collaborations with other schools, we seek to inspire and equip students with the knowledge and resources needed to explore leadership, innovation, and diverse career opportunities in healthcare.
🌟 About the Moderators
Sergine Delma, FNP-BC is a Board-Certified Family Nurse Practitioner and Doctor of Nursing Practice candidate at Columbia University, passionate about advancing health equity through compassionate care and healthcare innovation. With a background in oncology, primary care, and palliative nursing, she has led quality improvement initiatives and consults for early-stage AI healthcare startups, helping design safer and more culturally responsive digital tools.Her research focuses on the application of artificial intelligence in chronic disease management and on reducing bias in clinical documentation.
She has been featured in the Columbia Nursing Magazine and the Sigma Nursing Journal. At Columbia, Sergine served as a University Senator, sits on the Student Advisory Council for Artificial Intelligence, and co-founded the Columbia Nursing Pathways Collective, a student-led initiative dedicated to opening nontraditional career paths for clinicians in entrepreneurship, tech, consulting, pharma, and digital health.
A former Columbia Healthcare Ventures Fellow with experience in strategic consulting, she now leads events for Project 2.8, curating conversations that bring together founders, VCs, angel investors, and innovation leaders.
Passionate about bridging care, capital, and community, she is committed to building inclusive innovation ecosystems that elevate both patients and clinicians.
Ejiro Ntekume MPH is a public health professional, community-engaged researcher, and emerging nurse leader whose career bridges the fields of public health, nursing, health equity, and clinical research. A graduate of UC Berkeley and the UCLA Fielding School of Public Health, she has supported numerous health initiatives across California, from the Bay Area to Los Angeles, advancing community wellness and health equity. With more than a decade of experience in community-based health programming, academic research, clinical practice, and teaching, she has cultivated a professional identity rooted in service, innovation, and advocacy.
During the COVID-19 pandemic, she served as a healthcare consultant with STOP COVID CA, working collaboratively with technology companies and public health organizations to ensure that communities most impacted by the pandemic had equitable access to vaccinations and essential resources. This role underscored her ability to bridge partnerships across sectors and deliver solutions that prioritized the most vulnerable populations. Her commitment to advancing health equity extends to scholarship as well. She has co-authored several publications in public health and community engagement, with work highlighting vaccine hesitancy, health disparities, and strategies for building inclusive research partnerships. These contributions reflect her talent for translating community perspectives into evidence-based recommendations that inform both practice and policy.
Currently pursuing a Master’s in Nursing (MDE) at Columbia University School of Nursing, she serves as the student lead for the Office of Artificial Intelligence and is the co-founder of the Columbia Nursing Pathways Collective, a student-led initiative designed to strengthen mentorship, professional development, and community within nursing. From her earliest days as a student leader to her present role as an emerging nurse scholar, she remains committed to amplifying underrepresented voices and ensuring that health systems adapt to the diverse populations they serve.