Hospitals want to be safe and open at the same time — welcoming to patients, families, and staff, but protected from weapons, wandering patients, drug diversion, and operational waste. That’s exactly the problem Vision AI was built to solve.
Recorded live at HIMSS 2026 in Las Vegas, this fireside chat features Matt Benetti, CMO at Vaidio, and Todd Larson, a consultant running the Transformation Center at Honor Health. Todd brings a rare combination of law enforcement experience and hospital innovation leadership to a wide-ranging conversation about how AI-powered cameras are moving from passive data storage to proactive operational intelligence.
🔗 Learn more at vaidio.ai
Topics covered:
Why healthcare is in a state of flux — staffing shortages, payer mix shifts, and the need for transformation
The economics of a hospital and why you can’t just grow your way out of the problem
Vision AI’s three core use cases — safety and security, patient care, and operational efficiency
Weapons detection, fall prevention, wandering patients, and geofencing
Equipment tracking — wheelchairs, IV pumps, and the nurse workaround problem
Visitor and vendor management with facial recognition and color-coded monitoring
The visionary future — hospital at home
⏱️ YouTube Timeline
0:00 — Introduction — Meet Matt Benetti from Vaidio and Todd Larson from Honor Health
0:30 — The state of healthcare today — staffing shortages payer mix and the need for transformation
1:44 — How hospitals actually make money and why the economics are under pressure
3:24 — The reformation happening in healthcare — unity of command communication and operations
6:05 — Introducing Vision AI and the three core use cases for hospitals
7:02 — Use case 1 — safety and security weapons detection wandering and geofencing
8:04 — Why cameras as data storage is reactive not proactive
9:08 — The Las Vegas casino model — open secure and unintrusive
10:56 — Fall prevention and how AI vision replaces physical restraints1
2:46 — Real world wandering calls from Todd’s law enforcement days
13:42 — Staff optimization and operational efficiency through Vision AI
14:41 — Room turnover throughput and autonomous monitoring examples
18:22 — Use case 2 — drug diversion and passive multifactor authentication
21:14 — The full cost of drug diversion — economic reputational and regulatory
25:32 — Staff satisfaction and the body camera parallel from law enforcement
28:15 — Surgeon license plate recognition and OR efficiency gains
32:41 — Equipment tracking wheelchairs IV pumps and the nurse workaround
35:50 — Three practical Vision AI recommendations for hospitals today
37:09 — Visitor and vendor management with color-coded real time monitoring
40:32 — The visionary future — hospital at home in 10 to 20 years
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