Molly McCarthy
Board Member
Belmont Collaborative for Health Systems Innovation
MBA, BSN, NI-BC
mollykmccarthy@gmail.comBiography
Molly K. McCarthy MBA, BSN, NI-BC is a seasoned executive harnessing the power of artificial intelligence and technology to positively transform healthcare. She is passionate about uniting technology, clinicians, and patients to improve care delivery, safety, and outcomes. Molly is currently a health technology advisor and strategist to several companies, from early stage start-ups to global organizations. Molly is also podcast host and developer for “The Smart Care Team Spotlight”, which highlights and amplifies nurses transforming through technology adoption and change management. Molly was recently appointed as the 2025 Howley Family Visiting Professor of Healthcare at Villanova University.
Previously, Molly spent almost ten years with Microsoft, as the US Chief Nursing Officer and team leader of industry clinical and technical subject matter experts. Her Microsoft team was charged with helping health providers and health plans transform with digital technology innovation–most notably cloud and AI adoption.
Molly graduated with a B.S. in Nursing from Georgetown University and worked clinically as a bedside registered NICU and pediatric nurse, as well as the Pediatric Kidney Transplant Team Coordinator at Stanford Children’s. After finishing her MBA with a focus in strategic marketing, she transitioned from a clinical role into a product marketing role at Natus Medical in Silicon Valley. She furthered her career in product design and “concept to launch” with the Association of Women’s Health, Obstetric and Neonatal Nurses (AWHONN) where she was responsible for piloting a benchmark database that extracted data from hospital labor and delivery electronic medical records (EMRs) to provide data analytics and intelligence to hospital leadership. Immediately prior to joining Microsoft, she worked for Philips’ Patient Care and Clinical Informatics Division, where she orchestrated large health system integrations of physiologic patient monitoring networks into hospital networks and EMRs.