Patient biomarker monitoring with outcomes to monitor overall healthcare delivery

Patent metadata

Field	Value
Publication number	US-12100496-B2
Application number	US-202117156282-A
Country	US
Kind code	B2
Filing date	Jan 22, 2021
Priority date	Jan 22, 2021
Publication date	Sep 24, 2024
Grant date	Sep 24, 2024

Abstract

Examples herein may include a computer-implemented method for providing outcome tracking of a plurality of patients, which may include generating a respective expected patient biomarker dataset for each of the plurality of patients, wherein the expected patient biomarker dataset may represent the expected values of a patient biomarker over the duration of the patient's recovery. The computer implementing method may include receiving respective actual patient biomarker data from respective patient sensor systems for each of the plurality of patients. The method may include aggregating the respective expected patient biomarker dataset and the respective actual patient biomarker data for each of the plurality of patients. The method may include determining differences between the respective expected patient biomarker data and the respective actual patient biomarker data. The method may include generating a treatment notification based on the differences.

First claim

We claim:

1. A surgical hub for outcome tracking of a plurality of patients, comprising:
a processor; and
a memory coupled to the processor, the memory storing instructions, that when executed by the processor, cause the surgical hub to:
control, via a plurality of first control signals, a plurality of surgical devices;
generate a respective expected patient biomarker dataset for each of the plurality of patients, wherein the expected patient biomarker dataset represents the expected values of a patient biomarker over the duration of the patient's recovery;
receive respective actual patient biomarker data from respective patient sensor systems for each of the plurality of patients;
aggregate the respective expected patient biomarker dataset and the respective actual patient biomarker data for each of the plurality of patients;
determine differences between the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data for each of the plurality of patients;
generate a treatment notification based on the differences;
output the differences to a facility analytics system;
receive an updated control program from the facility analytics system based on the differences; and
update the control of the plurality of surgical devices, via a plurality of second control signals, based on the updated control program.

2. The surgical hub of claim 1 , wherein the aggregated differences between the respected expected patient biomarker data and the respective actual patient biomarker data at any given time are for the same time in the patient's recovery.

3. The surgical hub of claim 1 , wherein the expected patient biomarker data is a set of values in a recovery timeline.

4. The surgical hub of claim 1 , wherein the treatment notification is a unique notification tailored for a specific group of patients.

5. The surgical hub of claim 1 , wherein the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data is by department or surgeon.

6. The surgical hub of claim 1 , wherein the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data is by procedure configuration, surgical instrument mix, complication type, re-admission rates, days of treatment, or time to intervention.

7. The surgical hub of claim 1 , wherein the treatment notification provides insights to follow-up metrics, facility of care, compliance, and intervention accuracies.

8. A method associated with a surgical hub for providing outcome tracking of a plurality of patients, comprising:
controlling, via a plurality of first control signals, a plurality of surgical devices;
generating a respective expected patient biomarker dataset for each of the plurality of patients, wherein the expected patient biomarker dataset represents the expected values of a patient biomarker over the duration of the patient's recovery;
receiving respective actual patient biomarker data from respective patient sensor systems for each of the plurality of patients;
aggregating the respective expected patient biomarker dataset and the respective actual patient biomarker data for each of the plurality of patients;
determining differences between the respective expected patient biomarker data and the respective actual patient biomarker data;
generating a treatment notification based on the differences;
outputting the differences to a facility analytics system;
receiving an updated control program from the facility analytics system based on the differences; and
updating the control of the plurality of surgical devices, via a plurality of second control signals, based on the updated control program.

9. The method of claim 8 , wherein the differences between the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data at any given time are for the same time in the patient's recovery.

10. The method of claim 8 , wherein the expected patient biomarker data is a set of values in a recovery timeline.

11. The method of claim 8 , wherein the treatment notification is a unique notification tailored for a specific group of patients.

12. The method of claim 8 , wherein the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data is by department or surgeon.

13. The method of claim 8 , wherein the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data is by procedure configuration, surgical instrument mix, complication type, re-admission rates, days of treatment, or time to intervention.

14. The method of claim 8 , wherein the treatment notification provides insights to follow-up metrics, facility of care, compliance, and intervention accuracies.

15. A facility analytics system for outcome tracking of a plurality of patients, comprising:
a processor; and
a memory coupled to the processor, the memory storing instructions, that when executed by the processor, cause the facility analytics system to:
establish communication with a surgical hub;
receive a treatment notification from the surgical hub, wherein the treatment notification is based on differences of aggregated respective expected patient biomarker data and aggregated respective actual patient biomarker data for a plurality of patients;
perform facility analytics based on the differences of the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data for the plurality of patients;
generate an updated control program based on the facility analytics performed; and
send the updated control program to the surgical hub to control the surgical hub.

16. The facility analytics system of claim 15 , wherein the differences between the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data at any given time are for the same time in the patient's recovery.

17. The facility analytics system of claim 15 , wherein the expected patient biomarker data is a set of values in a recovery timeline.

18. The facility analytics system of claim 15 , wherein the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data is by department or surgeon.

19. The facility analytics system of claim 15 , wherein the aggregated respective expected patient biomarker data and the aggregated respective actual patient biomarker data is by procedure configuration, surgical instrument mix, complication type, re-admission rates, days of treatment, or time to intervention.

20. The facility analytics system of claim 15 , wherein the treatment notification provides insights to follow-up metrics, facility of care, compliance, and intervention accuracies.

Assignees

• Cilag Gmbh Int

Inventors

• Shelton Iv Frederick E
• Harris Jason L
• Eckert Chad E
• Harris Demetrius

Classifications

• G16H80/00

  ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring · CPC title

• G16H10/60

  for patient-specific data, e.g. for electronic patient records · CPC title

• G16H20/40

  relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture · CPC title

• G16H20/00 Primary

  ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance · CPC title

• G16H50/70 Primary

  for mining of medical data, e.g. analysing previous cases of other patients · CPC title