Method of hub communication, processing, display, and cloud analytics
A method of displaying an operational parameter of a surgical system is disclosed. The method includes receiving, by a cloud computing system of the surgical system, first usage data, from a first subset of surgical hubs of the surgical system; receiving, by the cloud computing system, second usage data, from a second subset of surgical hubs of the surgical system; analyzing, by the cloud computing system, the first and the second usage data to correlate the first and the second usage data with surgical outcome data; determining, by the cloud computing system, based on the correlation, a recommended medical resource usage configuration; and displaying, on respective displays on the first and the second subset of surgical hubs, indications of the recommended medical resource usage configuration.
1 . A surgical system comprising:
an aggregated medical records database configured to store aggregated medical data received from a network of surgical hubs, wherein the aggregated medical data comprises a medical record associated with a patient;
a first surgical hub configured to be communicably coupled to a surgical instrument configured for use during a surgical procedure performed on the patient, wherein the surgical instrument is configured to operate according to a control program, wherein the control program defines a tissue treatment parameter for performing a tissue treatment actuation of the surgical instrument, the tissue treatment parameter comprising any one or more of a firing force, a clamping force, an ultrasonic energy level, or a radiofrequency energy level, and wherein the network of surgical hubs comprises the first surgical hub; and
an analytics server communicably coupled to the aggregated medical record database and the network of surgical hubs, wherein the analytics server comprises a control circuit and a memory configured to store a data analytics module configured to cause the control circuit to:
receive a signal from the first surgical hub, wherein the signal is associated with perioperative data generated by the surgical instrument during the surgical procedure, and wherein the perioperative data comprises operational data indicating a manner in which the control program operated surgical device during the surgical procedure;
determine a surgical context based, at least in part, on the perioperative data;
receive the medical record associated with the patient stored by the aggregated medical records database;
correlate the determined surgical context and the medical record associated with the patient with other data of the aggregated medical data stored by the aggregated medical records database; and
transmit, to the first surgical hub in real time, an update to the control program automatically causing the surgical instrument to perform the tissue treatment actuation according to a modified tissue treatment parameter during the surgical procedure, wherein the modified tissue treatment parameter is based, at least in part, on the correlation.
2 . The surgical system of claim 1 , wherein the first surgical hub is configured to control the surgical instrument in accordance with the control program, and wherein the data analytics module is further configured to cause the control circuit to generate the update to the control program.
3 . The surgical system of claim 1 , wherein the correlation is based, at least in part, on a multi-dimensional decision tree for patient care.
4 . The surgical system of claim 3 , further comprising a display communicably coupled to the surgical hub and the analytics server, wherein the data analytics module is further configured to cause the control circuit to present on the display.
5 . The surgical system of claim 4 , further comprising a visualization subsystem communicably coupled to the surgical hub and the analytics server, wherein the visualization subsystem comprises an image sensor configured to generate image data during the surgical procedure, wherein the data analytics module is further configured to cause the control circuit to receive the image data generated by the image sensor from the visualization subsystem, and wherein the update to the control program is generated based, at least in part, on the image data generated by the image sensor.
6 . The surgical system of claim 4 , wherein the determined surgical context comprises a determined length of the surgical procedure performed on the patient, wherein the aggregated medical records database is further configured to store historical medical information, wherein the data analytics module is further configured cause the control circuit to:
receive the historical medical information stored in the aggregated medical records database;
determine an average procedure length based, at least in part, on the historical medical information; and
compare the determined length of the procedure performed on the patient to the determined average procedure length; and
present a summary of the comparison on the display.
7 . The surgical system of claim 4 , wherein the data analytics module is further configured to cause the control circuit to simulate a response associated with the update to the control program and wherein the data analytics module is further configured cause the control circuit to present the simulated response on the display.
8 . The surgical system of claim 5 , wherein the determined surgical context comprises a tissue characteristic.
9 . The surgical system of claim 1 , wherein the perioperative data comprises a blood pressure, a low hematocrit, a partial thromboplastin time, an international normalized ratio, an oxygen saturation, a ventilation change, or x-ray data, or combinations thereof.
10 . The surgical system of claim 1 , wherein the network of surgical hubs is located across a plurality of different medical facilities, and wherein the analytics subsystem is cloud-based and configured to be communicably coupled to the network of surgical hubs.
11 . A surgical analytics system configured to be communicably coupled to an aggregated medical record database and a network of surgical hubs, wherein the aggregated medical record database is configured to store aggregated medical data received from the network of surgical hubs, wherein the aggregated medical data comprises a medical record associated with a patient, wherein a first surgical hub of the network of surgical hubs is configured to be communicably coupled to a surgical instrument configured for use during a surgical procedure performed on the patient, wherein the surgical instrument is configured to operate according to a control program, and wherein the control program defines a tissue treatment parameter performing a tissue treatment actuation, the tissue treatment parameter comprising any one or more of a firing force, a clamping force, an ultrasonic energy level, or a radiofrequency energy level, the surgical analytics system comprising:
a memory configured to store a data analytics module; and
a control circuit, wherein the data analytics module is configured to cause the control circuit to:
receive a signal from the first surgical hub, wherein the signal is associated with perioperative data generated by the surgical instrument during the surgical procedure, wherein the perioperative data comprises operational data indicating a manner in which the control program operated surgical device during the surgical procedure;
determine a surgical context based, at least in part, on the perioperative data;
receive the medical record associated with the patient stored by the aggregated medical records database;
correlate the determined surgical context and the medical record associated with the patient with other data of the aggregated medical data stored by the aggregated medical records database; and
transmit, to the first surgical hub in real time, an update to the control program automatically causing the surgical instrument to perform the tissue-altering actuation according to a modified tissue treatment parameter during the surgical procedure, wherein the modified tissue treatment parameter is based, at least in part, on the correlation.
12 . The surgical analytics system of claim 11 , wherein the surgical hub is configured to control the surgical instrument in accordance with the control program, and wherein the data analytics module is further configured to cause the control circuit to generate the update to the control program.
13 . The surgical analytics system of claim 11 , wherein the correlation is based, at least in part, on a multi-dimensional decision tree for patient care.
14 . The surgical analytics system of claim 13 , wherein the data analytics module is further configured to cause the control circuit to present the multi-dimensional decision tree on a display communicably coupled to the first surgical hub.
15 . The surgical analytics system of claim 14 , wherein the data analytics module is further configured to cause the control circuit to receive image data generated by an image sensor of a visualization subsystem communicably coupled to the first surgical hub and the surgical analytics system, and wherein the update to the control program is generated based, at least in part, on the image data generated by the image sensor.
16 . The surgical analytics system of claim 15 , wherein the determined surgical context comprises a tissue characteristic.
17 . A method of controlling tissue treatment of a patient during a surgical procedure via a surgical analytics system, wherein the surgical analytics system is communicably coupled to a network of surgical hubs and an aggregated medical record database configured to store aggregated medical data received from the network of surgical hubs, wherein the aggregated medical data comprises a medical record associated with a patient, wherein a first surgical hub of the network of surgical hubs is configured to be communicably coupled to a surgical instrument, wherein the surgical instrument is configured for use during the surgical procedure, wherein the surgical instrument is configured to operate according to a control program, and wherein the control program defines a tissue treatment parameter for performing a tissue-altering actuation of the surgical instrument, the tissue treatment parameter comprising any one or more of a firing force, a clamping force, an ultrasonic energy level, or a radiofrequency energy level, the method comprising:
receiving, via a control circuit of the surgical analytics system, a signal from the first surgical hub, wherein the signal is associated with perioperative data generated by the surgical instrument during the surgical procedure, wherein the perioperative data comprises operational data indicating a manner in which the control program operated surgical device during the surgical procedure;
determining, via the control circuit, a surgical context based, at least in part, on the perioperative data;
receiving, via the control circuit, the medical record associated with the patient stored by the aggregated medical records database;
correlating, via the control circuit, the determined surgical context and the medical record associated with the patient with other data of the aggregated medical data stored by the aggregated medical records database; and
transmitting, in real time to the first surgical hub via the control circuit, an update to the control program automatically causing the surgical instrument to perform the tissue-altering actuation according to a modified tissue treatment parameter during the surgical procedure, wherein the modified tissue treatment parameter is based, at least in part, on the correlation.
18 . The method of claim 17 , further comprising receiving image data generated by an image sensor of a visualization subsystem communicably coupled to the first surgical hub and the surgical analytics system, wherein the update to the control program is generated based, at least in part, on the image data generated by the image sensor.
19 . The method of claim 17 , wherein the determined surgical context comprises a determined length of the surgical procedure performed on the patient, wherein the aggregated medical records database is further configured to store historical medical information, wherein the method further comprises:
receiving, via the control circuit, the historical medical information from the aggregated medical records database;
determining, via the control circuit, an average procedure length based, at least in part, on the historical medical information; and
comparing, via the control circuit, the determined length of the procedure performed on the patient to the determined average procedure length; and
presenting, via the control circuit, a summary of the comparison on a display communicably coupled to the first surgical hub.