Method of cloud based data analytics for use with the hub

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.

1 . A method of improving an operational parameter of a surgical system using data analytics, the method comprising:
 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.   
     
     
         2 . The method of  claim 1 , wherein the recommendation comprises changing a type of staple to be used by the plurality of surgical instruments. 
     
     
         3 . The method of  claim 1 , further comprising:
 determining, by the cloud computing system, an estimated cost of a surgical procedure based on the analyzed aggregate medical resource data, wherein the recommendation comprises a recommended surgical instrument of the plurality of surgical instruments to perform the surgical procedure.   
     
     
         4 . The method of  claim 1 , further comprising:
 detecting, by the cloud computing system, an irregularity in a configuration of the surgical system; and   generating, by the cloud computing system, an alert based on the detected irregularity, indicating that a selected surgical instrument of the plurality of surgical instruments is incompatible with a surgical procedure being performed.   
     
     
         5 . The method of  claim 1 , further comprising:
 performing, by the cloud computing system, statistical analysis on the aggregate medical resource data to determine a flaw in a subset of the plurality of surgical instruments.   
     
     
         6 . The method of  claim 1 , wherein the flaw comprises a local outlier corresponding to the subset of the plurality of surgical instruments. 
     
     
         7 . The method of  claim 1 , further comprising:
 determining, by the cloud computing system, an adjustment to post-operative care based on the analysis of the aggregate medical resource data.   
     
     
         8 . The method of  claim 1 , wherein the aggregate medical resource data comprises surgical outcome data and wherein the recommendation comprises a recommended type of component to use with a surgical instrument of the plurality of surgical instruments. 
     
     
         9 . A method of controlling a surgical system using data analytics, the method comprising:
 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, wherein the aggregate medical resource data comprises one or more of usage data, patient derived parameter data, surgical performance data, and surgical outcome data;   generating, by the cloud computing system, an update to a control program executed by one or more of the plurality of surgical hubs and the plurality of surgical instruments based on the analyzed aggregated medical resource data; and   receiving, by one or more of the plurality of surgical hubs and the plurality of surgical instruments, the update to the control program.   
     
     
         10 . The method of  claim 9 , wherein the aggregate medical resource data comprises patient derived parameter data and the patient derived parameter data comprises a tissue parameter. 
     
     
         11 . The method of  claim 9 , further comprising:
 comparing, by the cloud computing system, the aggregate medical resource data to a predetermined threshold, wherein the aggregate medical resource data comprises surgical outcome data; and   determining, by the cloud computing system, a performance level of the plurality of surgical instruments executing the control program.   
     
     
         12 . The method of  claim 11 , wherein:
 the surgical outcome data comprises a rate of positive surgical outcomes;   comparing the aggregate medical resource data to the predetermined threshold comprises comparing the rate of positive surgical outcomes to the predetermined threshold.   
     
     
         13 . The method of  claim 11 , wherein the update to the control program is generated based on the determined performance level. 
     
     
         14 . The method of  claim 9 , wherein the update to the control program specifies a wait time during performance of surgical procedures by the plurality of surgical instruments. 
     
     
         15 . The method of  claim 9 , wherein the update to the control program controls operations of the plurality of surgical hubs. 
     
     
         16 . A method of controlling a surgical system using data analytics, the method comprising:
 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;   determining, by the cloud computing system, a level of criticality of the aggregate medical resource data;   analyzing, by the cloud computing system, the aggregate medical resource data to determine a recommended action based on the analyzed aggregate medical resource data and the level of criticality;   determining, a priority of the recommended action based on the level of criticality;   receiving, by the plurality of surgical hubs, the recommendation from the cloud computing system; and   displaying, by the plurality of surgical hubs, the recommendation.   
     
     
         17 . The method of  claim 16 , wherein the level of criticality is determined based on one or more of severity, deviation from an expected result, and suspiciousness. 
     
     
         18 . The method of  claim 16 , further comprising:
 determining, by the cloud computing system, a security breach based on the analyzed aggregate medical resource data.   
     
     
         19 . The method of  claim 18 , further comprising:
 determining, by the cloud computing system, a subset of the plurality of surgical instruments that are impacted by the security breach.   
     
     
         20 . The method of  claim 19 , further comprising:
 transmitting, by the cloud computing system, a signal indicating the subset to the plurality of surgical hubs; and   preventing, by the plurality of surgical hubs, operation of the surgical instruments corresponding to the subset.