Session Abstract:
As remote patient monitoring (RPM) technologies become more integrated into clinical care, the healthcare landscape is being transformed—enhancing chronic disease management, reducing hospital readmissions, and supporting proactive interventions. However, successful adoption of RPM and AI-powered tools relies not just on technical advancement, but also on clinical usability and patient trust. This panel brings together leaders from AI, technology and care deliver to explore the intersection of cutting-edge technology and real-world patient care. Panelists will discuss the opportunities and limitations of current RPM systems, patient attitudes toward surveillance and automation, and the critical need for clinician and patient-centric design. The conversation will highlight how empathy, trust, and interoperability can shape the future of intelligent, remote healthcare.
Speakers:
Dr. Wolff has 30 years of experience in the health and life science industries as a scientist and analyst working in the U.S. and Europe. He is an Advisory Industry Consultant for SAS Institute’s Global IoT Division. His work focuses on the application of machine learning and artificial intelligence approaches to streaming sensor telemetry and unstructured data in support of improving health outcomes, patient safety, and the design of intelligent, decision support systems for clinical research, care delivery and the the development of next generation manufacturing quality analytics for the biopharmaceutical, regenerative medicine, and medical device industries.
Joanna S. Cavalier, MD, is an internist and Medical Instructor who works as a hospitalist at Duke University Hospital. She also serves as the Associate Medical Director of the Digital Strategy Office for Duke Health, where she focuses on enhancing the patient-facing digital experience. Her areas of focus include virtual care, remote patient monitoring, virtual nursing, the MyChart app, patient-entered questionnaires, and patient-reported outcomes. Her research is focused on the formal evaluation of digital programs to assess their efficacy and outcomes.
