BIO

Dr. Jennifer Schieferle Uhlenbrock (JenSU) is a practicing TCRN certified nurse and a fierce advocate for patient care and privacy in the age of AI. With over 20 years of frontline clinical experience and training in cyber, she bridges the gap between bedside care and the command line.

Previously speaking on Safeguarding Medical Devices, she now brings her perspective to DEF CON to challenge hackers, engineers, clinicians, and innovators to rethink how we triage, monitor, and discharge patients in a hyper-connected world. From AI-powered healthcare systems to the biometric vulnerabilities embedded in smart medical devices, Dr. JenSU pushes the conversation forward with care and privacy at the core.

ABSTRACT

Let’s reimagine how tomorrow’s AI-powered smart hospitals should work, faster triage, smarter rooms, and safer care, with security, privacy, and humanity at the core. Despite the rise of smart devices in healthcare, emergency and trauma care still suffer from critical delays, failure to intervene early as patient conditions deteriorate, and paper-based handoff reports that often omit essential information. These aren’t workflow glitches, they’re inefficiencies that cause patient safety risks. In this session, Dr. JenSU shares how AI-powered triage tools, biometric sensors, and digital communication systems can act as digital first responders, detecting risks sooner, closing communication gaps, and protecting patients in high-pressure environments.

This talk introduces:

• AI-powered biometric triage that uses motion and optical sensors to monitor vitals and detect signs of trauma, stroke, cardiac distress, and more—before the patient hits the exam table.

• Digital bedside displays that function like a hotel check-in screen—showing secure, real-time updates on care plans, test results, and next steps, keeping the patient and family in the know.

• Automated digital handoff reporting to prevent the loss of critical information during shift transitions, reducing error and improving care continuity.

• AI physiology simulation labs model virtual patients that train clinicians in real-time response to trauma, medication reactions, and disease progression preparing clinicians for complex emergencies before they happen.

• Cybersecurity implications, including biometric spoofing, AI poisoning, lateral movement with IoT, and system resilience, because in connected care, a breach means lives.

Dr. JenSU challenges hackers, engineers, clinicians, and innovators/disruptors to rethink how we design healthcare systems, where AI isn't just integrated, it's life critical. Because in tomorrow’s hospitals, your first responder might not wear scrubs, it might run code. And the systems that support it must be built with security, privacy, and humanity at the core.