Outcomes Rocket Building Security From Chip To Cloud In Connected Care with Florence Hudson, Executive Director at Columbia University
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This episode of the AI Med 25 Insights series is brought to you by Outcomes Rocket and Censinet.
Trustworthy AI-enabled healthcare depends on standards that harden identity, privacy, safety, and security across devices, data, and institutions.
In this episode, Florence Hudson, Executive Director at Columbia University, discusses using data and AI “for good” through federally funded innovation work. She explains how she led the development of IEEE’s TIPS standard for clinical IoT, focusing on Trust, Identity, Privacy Protection, Safety, and Security, and why it drew contributions from over 300 experts across 33 countries. Florence examines how lessons from aerospace and mission-critical systems apply to healthcare reliability, encompassing the provenance, reproducibility, and repeatability of AI outputs. She also delves into digital twins and “virtual human” initiatives that combine genomics, exposomics, imaging, and biomarkers for precision medicine, as well as remote monitoring use cases, such as external sensors that detect breathing challenges. Finally, she closes with mentoring future leaders and building open, interoperable foundations for responsible innovation.
Tune in and learn how standards and digital twins can make AI healthcare safer, more trustworthy, and truly scalable!
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