System and method of utilizing data of medical systems

Patent metadata

Field	Value
Publication number	US-11881306-B2
Application number	US-202016815343-A
Country	US
Kind code	B2
Filing date	Mar 11, 2020
Priority date	Mar 27, 2019
Publication date	Jan 23, 2024
Grant date	Jan 23, 2024

Abstract

The present disclosure provides a system that may receive first sensor data associated with first measurements of multiple components of respective multiple medical systems; may determine first one or more classifiers based at least on first user input; may receive second sensor data associated with second measurements of the multiple components; may determine, based at least on the first one or more classifiers and based at least on the second sensor data, at least two services to be provided to respective at least a first two of the multiple medical systems; may receive third sensor data associated with third measurements of multiple components respectively associated with the at least the first two of the multiple medical systems; and may determine, without the first user input and without second user input, second one or more classifiers based at least on the third sensor data.

First claim

What is claimed is:

1. A system, comprising:
at least one processor; and
a memory medium that is coupled to the at least one processor and that includes instructions, when executed by the at least one processor, cause the system to:
receive first digital sensor data from a first sensor, the first digital sensor data associated with a first plurality of measurements of a plurality of components of a respective plurality of medical systems;
receive first user input that indicates one or more maintenance issues associated with at least one of the plurality of medical systems;
determine first one or more classifiers based at least on the first user input and based at least on the first digital sensor data;
utilize machine learning to determine one or more thresholds of the first digital sensor data and to determine one or more actions to take in response to the first digital sensor data in relation to the one or more thresholds;
receive second digital sensor data from a second sensor, the second digital sensor data associated with a second plurality of measurements of the plurality of components of the respective plurality of medical systems;
determine, based at least on the first one or more classifiers and based at least on the second digital sensor data, at least two services to be provided to respective at least a first two of the plurality of medical systems;
after the at least two services have been provided to the at least the first two of the plurality of medical systems:
receive third digital sensor data from a third sensor, the third digital sensor data associated with a third plurality of measurements of the plurality of components respectively associated with the at least the first two of the plurality of medical systems;
utilize machine learning to determine, without the first user input and without second user input, second one or more classifiers based at least on the third digital sensor data, the second one or more classifiers different from the first one or more classifiers;
determine, based at least on the first one or more classifiers and based at least on the third digital sensor data, at least a second two services to be provided to respective at least a second two of the plurality of medical systems;
determine, based at least on the second one or more classifiers and based at least on the at least the second two services to be provided, a plurality of additional services to be respectively provided to the at least the second two of the plurality of medical systems;
issue, to a computer system associated with a technician, a work order that includes at least one of the plurality of additional services;
wherein a medical system of the plurality of medical systems is utilized to perform laser eye surgery involving an eye of a patient; and
the instructions further cause the medical system to control utilization of one or more medical instruments to perform the laser eye surgery involving the eye of the patient.

2. The system of claim 1 , wherein at least one of the second one or more classifiers includes a neural network.

3. The system of claim 1 , wherein at least one of the second one or more classifiers includes a k-nearest neighbor process.

4. The system of claim 1 , wherein at least one of the plurality of additional services includes at least one preventative maintenance service.

5. The system of claim 1 , wherein the instructions further cause the system to: receive personnel information associated with the technician; determine, based at least on the personnel information associated with the technician, if the technician can provide service to the at least one of the plurality of medical systems; if the technician cannot provide service to the at least one of the plurality of medical systems, provide, to a service manager, information that indicates that the technician cannot provide service to the at least one of the plurality of medical systems; and if the technician can provide service to the at least one of the plurality of medical systems, receive equipment identification information associated with equipment of the technician.

6. The system of claim 5 , wherein the instructions further cause the system to:
determine, based at least on the equipment identification information, if the equipment of the technician can provide service to the at least one of the plurality of medical systems;
if the equipment of the technician cannot provide service to the at least one of the plurality of medical systems, provide, to the service manager, information that indicates that the equipment cannot provide service to the at least one of the plurality of medical systems; and
if the equipment of the technician can provide service to the at least one of the plurality of medical systems, provide, to the service manager, information that indicates that the service to the at least one of the plurality of medical systems has commenced.

7. The system of claim 5 , wherein, to receive the personnel information associated with the technician, the instructions further cause the system to receive at least one of a radio frequency identification (RFID) associated with the technician and a barcode associated with the technician.

8. The system of claim 1 , further comprising:
the plurality of medical systems.

9. The system of claim 8 , further comprising:
a plurality of gateway devices coupled to the plurality of medical systems, respectively;
wherein the plurality of gateway devices includes a respective plurality of network routers configured to be coupled to at least one wide area network.

10. The system of claim 8 ,
wherein each medical system of the plurality of medical systems includes a first component and the first sensor configured to determine a first measurement of physical phenomena associated with the first component;
wherein each medical system of the plurality of medical systems includes a second component and the second sensor configured to determine a second measurement of physical phenomena associated with the second component;
wherein the first plurality of measurements of the plurality of components of the respective plurality of medical systems includes each first measurement of the physical phenomena associated with each first component of each of the plurality of medical systems; and
wherein the second plurality of measurements of the plurality of components of the respective plurality of medical systems includes each second measurement of the physical phenomena associated with each second component of each of the plurality of medical systems.

11. The system of claim 10 ,
wherein each medical system of the plurality of medical systems includes a sensor hub;
wherein the first sensor of each medical system of the plurality of medical systems is coupled to the sensor hub of the medical system; and
wherein the sensor hub of each medical system of the plurality of medical systems is configured to receive data from the first sensor of the medical system via a first protocol and provide the data to the computer system via a second protocol.

12. A method, comprising:
receiving first digital sensor data from a first sensor, the first digital sensor data associated with a first plurality of measurements of a plurality of components of a respective plurality of medical systems;
receiving first user input that indicates one or more maintenance issues associated with at least one of the plurality of medical systems;
determining first one or more classifiers based at least on the first user input and based at least on the first digital sensor data;
utilizing machine learning to determine one or more thresholds of the first digital

Assignees

• Alcon Inc

Inventors

• Bohn Heiko
• Martin Peter

Classifications

• G06N3/09

  Supervised learning · CPC title

• G06K7/1413

  1D bar codes · CPC title

• G16H40/40 Primary

  for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades · CPC title

• G06Q10/063114

  Status monitoring or status determination for a person or group · CPC title

• G06K7/10366

  the interrogation device being adapted for miscellaneous applications · CPC title