US 2,019,206,569 · Filed 2018-12-04

The Operating Room AI That Learns From Every Surgery

Imagine if every surgical robot in every hospital sent data about how it performed to a central brain in the cloud. That cloud brain analyzes thousands of surgeries to spot patterns and then tells each operating room how to work better next time. This patent covers that feedback loop—turning raw surgery data into actionable advice.

Curated and verified by the IsItPatented Editorial team

The plain-English version

What it protects

The claim covers a system where surgical hubs continuously upload operational data (how instruments were used, patient outcomes, performance metrics) to a cloud platform, which aggregates that data from multiple hospitals, analyzes it for patterns and inefficiencies, generates recommendations to improve surgical parameters, and then sends those recommendations back to the operating rooms for display. What's protected is the specific method of this closed-loop feedback cycle—collecting, aggregating, analyzing, and distributing insights across a networked surgical ecosystem.

Why it matters

This patent reflects a major shift in how medical device companies think about their products. Instead of selling a surgical system and walking away, Ethicon is building an ecosystem where every use generates learning data. Over time, that cloud knowledge base becomes a competitive moat—hospitals using the system get smarter outcomes because they benefit from patterns across thousands of other surgeries. It's a way to lock customers into a data-sharing network while continuously improving the entire system.

Real-world use

When a surgical team completes a procedure using Ethicon's robotic instruments, data about instrument efficiency, complication rates, and outcomes automatically feeds back to the cloud, which might then alert hospitals that adjusting a specific parameter reduces surgical time by 8 percent.

Original USPTO abstract

A method of improving an operational parameter of a surgical system using data analytics is disclosed. The method includes transmitting, from each of a plurality of surgical hubs of the surgical system, operational data of a plurality of surgical instruments communicatively coupled to the plurality of surgical hubs, to a cloud computing system of the surgical system; aggregating, by the cloud computing system, the operational data into aggregate medical resource data; analyzing, by the cloud computing system, the aggregate medical resource data to determine a recommendation to change the operational parameter based on the analyzed aggregate medical resource data, wherein the aggregate medical resource data comprises one or more of usage data, patient derived parameter data, surgical performance data, and surgical outcome data; receiving, by the plurality of surgical hubs, the recommendation from the cloud computing system; and displaying, by the plurality of surgical hubs, the recommendation.

Patent details

Publication number: US 2,019,206,569
Filing date: 2018-12-04
Grant date: Application — not yet granted
Assignee: Ethicon Llc
Inventor(s): SHELTON, IV, FREDERICK E., HARRIS, JASON L., YATES, DAVID C.
CPC class: G16H50/20

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