US-12626807-B2 - Aggregated network of surgical hubs for efficiency analysis

US12626807B2US 12626807 B2US12626807 B2US 12626807B2US-12626807-B2

Abstract

A computing system may obtain and aggregate surgical monitoring data associated with multiple surgical procedures in multiple operating rooms (ORs), and the surgical monitoring data may be obtained via the surgical hubs in the ORs. Surgical resource utilization adjustments may be generated based on the aggregated surgical resource monitoring data, and an output may be generated based on the determined surgical resource utilization adjustment. The aggregated data may be used to generate resource allocation adjustments for the ORs. Resource allocation adjustments may include healthcare professional (HCP) assignment adjustments, surgery scheduling adjustments, surgical instrument allocation adjustments, OR layout adjustments, and/or medical facility layout adjustment(s), etc. The computing system may generate a control signal for adjusting an HCP assignment, adjusting surgery scheduling, adjusting surgical instrument allocation, adjusting surgical plans, notifying HCPs and/or administrators of surgical resource adjustments, notifying potential issues and/or providing recommendations.

Inventors

Frederick E. Shelton, IV
Kevin M. Fiebig
Taylor W. Aronhalt
Charles J. Scheib

Assignees

CILAG GMBH INTERNATIONAL

Dates

Publication Date: 20260512
Application Date: 20210601

Claims (11)

1 . A computing system comprising: a processor configured to at least: obtain first surgical monitoring data and second surgical monitoring data, wherein the first surgical monitoring data is associated with a first set of plurality of surgical procedures and the second surgical monitoring data is associated with a second set of plurality of surgical procedures, wherein the first set of plurality of surgical procedures is associated with a first operating room (OR), wherein the second set of plurality of surgical procedure is associated with a second OR, wherein the first surgical monitoring data comprises first healthcare personnel (HCP) monitoring data associated with the first OR, first surgical instrument utilization data associated with the first OR, first surgical procedure progression data associated with the first OR, first instrument stock and utilization data associated with the first OR, first OR turnover data associated with the first OR, and first cost data associated with the first set of plurality of surgical procedures for the first OR, wherein the second surgical monitoring data comprises second HCP monitoring data associated with the second OR, second surgical instrument utilization data associated with the second OR, second surgical procedure progression data associated with the second OR, second instrument stock and utilization data associated with the second OR, second OR turnover data associated with the second OR, and second cost data associated with the second set of plurality of surgical procedures for the second OR, wherein the first HCP monitoring data comprises first HCP step monitoring data associated with the first OR, and wherein the second HCP monitoring data comprises second HCP step monitoring data associated with the second OR; identify a first set of repetitive trips in the first OR based on the first HCP step monitoring data and identify a second set of repetitive trips in the second OR based on the second HCP step monitoring data; aggregate the first surgical monitoring data and the second surgical monitoring data, wherein to aggregate the first surgical monitoring data and the second surgical monitoring data comprises the processor being configured to: aggregate the first set of repetitive trips in the first OR and the second set of repetitive trips in the second OR, aggregate the first surgical instrument utilization data associated with the first OR and the second surgical instrument utilization data associated with the second OR, aggregate the first surgical procedure progression data associated with the first OR and the second surgical procedure progression data associated with the second OR, aggregate the first instrument stock and utilization data associated with the first OR and the second instrument stock and utilization data associated with the second OR, aggregate the first OR turnover data associated with the first OR and the second OR turnover data associated with the second OR, and aggregate the first cost data associated with the first set of plurality of surgical procedures for the first OR and the second cost data associated with the second set of plurality of surgical procedures for the second OR, based on the aggregated first and second surgical monitoring data, the first set of repetitive trips, and the second set of repetitive trips, determine a first surgical resource utilization adjustment for a first HCP in the first OR and a second surgical resource utilization adjustment for a second HCP in the second OR, wherein the first surgical resource utilization adjustment for the first HCP comprises at least one of a first HCP task assignment adjustment for reducing a distance that the first HCP needs to travel to carry out the surgical procedures in the first OR, a first OR layout adjustment, a first surgical instrument utilization allocation adjustment for the first OR, and a medical facility layout adjustment and the second surgical resource utilization adjustment for the second HCP comprises a second HCP task assignment adjustment for reducing a distance that the second HCP needs to travel to carry out the surgical procedures in the second OR, a second OR layout adjustment, a second surgical instrument utilization allocation adjustment for the second OR, and the medical facility layout adjustment; generate a first output signal based on the first surgical resource utilization adjustment and generate a second output signal based on the second surgical resource utilization adjustment; generate a first message and a second message, wherein the first message is associated with the first output signal and the second message is associated with the second output signal; and send the first message to a first display associated with the first HCP and send the second message to a second display associated with the second HCP, wherein the first message indicates that the first display is to display the first output signal, and wherein the second message indicates that the second display is to display the second output signal.
2 . The computing system of claim 1 , wherein the first surgical monitoring data further comprises first surgical resource monitoring data, wherein the second surgical monitoring data further comprises second surgical resource monitoring data, and wherein the processor is further configured to: receive the first surgical resource monitoring data associated with a first surgical procedure of the first set of plurality of surgical procedures; receive the second surgical resource monitoring data associated with a second surgical procedure of the second set of plurality of surgical procedures; and aggregate the first and second surgical resource monitoring data, wherein the first surgical resource utilization adjustment and the second surgical resource utilization adjustment are determined based on the aggregated first and second surgical resource monitoring data.
3 . The computing system of claim 1 , the processor is further configured to: identify a first set of plurality of surgical tasks associated with the first set of repetitive trips based on the first surgical procedure progression data associated with the first set of plurality of surgical procedures and identify a second set of plurality of surgical tasks associated with the second set of repetitive trips based on the second surgical procedure progression data associated with the second set of plurality of surgical procedures; and generate the first HCP task assignment adjustment for reducing a distance traveled associated with the identified first set of plurality of surgical tasks and generate the second HCP task assignment adjustment for reducing a distance traveled associated with the identified second set of plurality of surgical tasks.
4 . The computing system of claim 1 , wherein the first surgical monitoring data further comprises first surgical procedure progression data associated with the first set of plurality of surgical procedures from a first set of plurality of surgical hubs, wherein the second surgical monitoring data further comprises second surgical procedure progression data associated with the second set of plurality of surgical procedures from a second set of plurality of surgical hubs, and wherein the processor is further configured to: obtain first surgical procedure planning data associated with the first set of plurality of surgical procedures and obtain second surgical procedure planning data associated with the second set of plurality of surgical procedures; generate a first set of plurality of updated surgical procedure plans based on the first surgical procedure planning data and the first surgical procedure progression data with the first set of plurality of surgical procedures and generate a second set of plurality of updated surgical procedure plans based on the second surgical procedure planning data and the second surgical procedure progression data with the second set of plurality of surgical procedures; obtain a first planned HCP task assignment associated with the first set of plurality of surgical procedures and obtain a second planned HCP task assignment associated with the second set of plurality of surgical procedures; and generate a first updated HCP task assignment associated with the first set of plurality of surgical procedures based on the first planned HCP task assignment, the first set of plurality of updated surgical procedure plans, and the first HCP monitoring data associated with the first set of plurality of surgical procedures and generate a second updated HCP task assignment associated with the second set of plurality of surgical procedures based on the second planned HCP task assignment, the second set of plurality of updated surgical procedure plans, and the second HCP monitoring data associated with the second set of plurality of surgical procedures.
5 . The computing system of claim 1 , wherein the first surgical monitoring data further comprises first surgical procedure progression data associated with the first set of plurality of surgical procedures from a first set of plurality of surgical hubs, wherein the second surgical monitoring data further comprises second surgical procedure progression data associated with the second set of plurality of surgical procedures from a second set of plurality of surgical hubs, and wherein the processor is further configured to: determine HCP efficiency based on at least one of: aggregated OR utilization data associated with the first set of plurality of surgical procedures and the second set of plurality of surgical procedure, aggregated OR turnover data associated with the first set of plurality of surgical procedures and the second set of plurality of surgical procedures, aggregated HCP reposition data associated with the first set of plurality of surgical procedures and the second set of plurality of surgical procedures, or aggregated instrument exchange data associated with the first set of plurality of surgical procedures and the second set of plurality of surgical procedures.
6 . A computer-implemented method comprising: obtaining first surgical monitoring data and second surgical monitoring data, wherein the first surgical monitoring data is associated with a first set of plurality of surgical procedures and the second surgical monitoring data is associated with a second set of plurality of surgical procedures, wherein the first set of plurality of surgical procedures is associated with a first operating room (OR), and wherein the second set of plurality of surgical procedure is associated with a second OR, wherein the first surgical monitoring data comprises first healthcare personnel (HCP) monitoring data associated with the first OR, first surgical instrument utilization data associated with the first OR, first surgical procedure progression data associated with the first OR, first instrument stock and utilization data associated with the first OR, first OR turnover data associated with the first OR, and first cost data associated with the first set of plurality of surgical procedures for the first OR, wherein the second surgical monitoring data comprises second HCP monitoring data associated with the second OR, second surgical instrument utilization data associated with the second OR, second surgical procedure progression data associated with the second OR, second instrument stock and utilization data associated with the second OR, second OR turnover data associated with the second OR, and second cost data associated with the second set of plurality of surgical procedures for the second OR, wherein the first HCP monitoring data comprises first HCP step monitoring data associated with the first OR, and wherein the second HCP monitoring data comprises second HCP step monitoring data associated with the second OR; identifying a first set of repetitive trips in the first OR based on the first HCP monitoring data and identifying a second set of repetitive trips in the second OR based on the second HCP step monitoring data; aggregating the first surgical monitoring data and the second surgical monitoring data, wherein aggregating the first surgical monitoring data and the second surgical monitoring data comprises: aggregating the first set of repetitive trips in the first OR and the second set of repetitive trips in the second OR, aggregating the first surgical instrument utilization data associated with the first OR and the second surgical instrument utilization data associated with the second OR, aggregating the first surgical procedure progression data associated with the first OR and the second surgical procedure progression data associated with the second OR, aggregating the first instrument stock and utilization data associated with the first OR and the second instrument stock and utilization data associated with the second OR, aggregating the first OR turnover data associated with the first OR and the second OR turnover data associated with the second OR, and aggregating the first cost data associated with the first set of plurality of surgical procedures for the first OR and the second cost data associated with the second set of plurality of surgical procedures for the second OR, based on the aggregated first surgical monitoring data and second surgical monitoring data, the first set of repetitive trips, and the second set of repetitive trips, determining a first surgical resource utilization adjustment for a first HCP in the first OR and a second surgical resource utilization adjustment for a second HCP in the second OR, wherein the first surgical resource utilization adjustment for the first HCP comprises at least one of a first HCP task assignment adjustment for reducing a distance that the first HCP needs to travel to carry out the surgical procedures in the first OR, a first OR layout adjustment, a first surgical instrument utilization allocation adjustment for the first OR, and a first medical facility layout adjustment and the second surgical resource utilization adjustment for the second HCP comprises a second HCP task assignment adjustment for reducing a distance that the second HCP needs to travel to carry out the surgical procedures in the second OR, a second OR layout adjustment, a second surgical instrument utilization allocation adjustment for the second OR, and the medical facility layout adjustment; generating a first output signal based on the first surgical resource utilization adjustment and generating a second output signal based on the second surgical resource utilization adjustment; generating a first message and a second message, wherein the first message is associated with the first output signal and the second message is associated with the second output signal; and sending the first message to a first display associated with the first HCP and sending the second message to a second display associated with the second HCP, wherein the first message indicates that the first display is to display the first output signal, and wherein the second message indicates that the second display is to display the second output signal.
7 . The computer-implemented method of claim 6 , wherein the first surgical monitoring data is obtained from a first set of plurality of surgical hubs associated with a first set of plurality of ORs, wherein the second surgical monitoring data is obtained from a second set of plurality of surgical hubs associated with a second set of plurality of ORS, and wherein the method further comprises: aggregating the first surgical monitoring data obtained from the first set of plurality of surgical hubs and the second surgical monitoring data obtained from the second set of plurality of surgical hubs, wherein the first surgical resource utilization adjustment is further determined based on the aggregated first and second surgical resource monitoring data and the second surgical resource utilization adjustment is further determined based on the aggregated first and second surgical resource monitoring data.
8 . The computer-implemented method of claim 6 , wherein the first set of plurality of surgical procedures is associated with a first set of plurality of ORs, wherein the first set of plurality of surgical procedures is associated with a first set of plurality of ORs, and wherein the method further comprising: obtaining first resource allocation and utilization data associated with the first set of plurality of ORs and obtaining second resource allocation and utilization data associated with the second set of plurality of ORs; obtaining first surgical outcome data associated with the first set of plurality of ORs and second surgical outcome data associated with the second set of plurality of ORs; aggregating the first obtained resource allocation and utilization data associated with the first set of plurality of ORs and the second obtained resource allocation and utilization data associated with the second set of plurality of ORs; and generating a first resource allocation adjustment associated with the first set of plurality of ORs based on the aggregated first and second resource allocation and utilization data and the first surgical outcome data and generating a second resource allocation adjustment associated with the second set of plurality of ORs based on the aggregated first and second resource allocation and utilization data and the second surgical outcome data, wherein the first output signal comprises a first control signal for effectuating the first resource allocation adjustment, and wherein the second output signal comprises a second control signal for effectuating the second resource allocation adjustment.
9 . The computer-implemented method of claim 6 , wherein the first surgical monitoring data further comprises first biomarker measurement data associated with the first HCP and first surgical procedure progress data from a first set of plurality of surgical hubs associated with the first set of plurality of surgical procedures, wherein the second surgical monitoring data further comprises second biomarker measurement data associated with the second HCP and second surgical procedure progress data from a second set of plurality of surgical hubs associated with the second set of plurality of surgical procedures, and wherein the method further comprises: projecting that a first task is to be performed during a first time period, wherein the first task is associated with the first OR and projecting that a second task is to be performed during a second time period, and wherein the second task is associated with the second OR; determining a first fatigue level of the first HCP during the first time period based on the first biomarker measurement data and determining a second fatigue level of the second HCP during the second time period based on the second biomarker measurement data; determining an availability of the first HCP associated the first time period based on a first surgical procedure planning data and the first surgical procedure progress data and determining an availability of the second HCP associated with the second time period based on a second surgical procedure planning data and the second surgical procedure progress data; and determining whether to assign the first task to the first HCP based on the first fatigue level and the determined availability of the first HCP during the first time period, wherein the first output signal comprises a first task assignment recommendation associated with the first HCP and determining whether to assign the second task to the second HCP based on the second fatigue level and the determined availability of the second HCP during the second time period, and wherein the second output signal comprises a second task assignment recommendation associated with the second HCP.
10 . The computer-implemented method of claim 6 , wherein obtaining the first surgical monitoring data comprises obtaining the first surgical monitoring data from a first set of plurality of surgical hubs, a first set of plurality of environmental monitoring devices, a first set of plurality of patient monitoring devices, and a first set of plurality of HCP monitoring devices, and wherein obtaining the second surgical monitoring data comprises obtaining the second surgical monitoring data from a second set of plurality of surgical hubs, a second set of plurality of environmental monitoring devices, a second set of plurality of patient monitoring devices, and a second set of plurality of one or more HCP monitoring devices.
11 . The computer-implemented method of claim 6 , wherein the first output signal comprises a first visual indication or a first audible indication of the first surgical resource utilization adjustment, and wherein the second output signal comprises a second visual indication or a second audible indication of the second surgical resource utilization adjustment.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS This application claims the benefit of Provisional U.S. Patent Application No. 63/194,675, filed on May 28, 2021, the disclosure of which is incorporated herein by reference in its entirety. This application is related to the following, filed contemporaneously, the contents of which are incorporated by reference herein: U.S. patent application Ser. No. 17/335,738, filed Jun. 1, 2021, entitled METHOD OF MONITORING AND ANALYZING SURGICAL PROCEDURES. BACKGROUND Successful surgeries depend on the expertise of several types of operating room (OR) team members. The roles of different OR personnel may be different. Surgeons make the critical decisions involved in directing the course of a procedure. Surgeons may perform the incisions involved in an operation. Anesthesiologists or nurse anesthetists may be in charge of safely administering anesthesia to patients prior to surgery, monitoring them during surgery and making sure that they safely come out of anesthesia after the operation. A circulating technician may bring the patient to the operating room, tie the surgical gowns of surgeons and other personnel, deliver needed additional supplies such as instruments and medicine, and document the surgery. Scrub technicians may sterilize instruments before and after the surgery, keep the surgical field organized during surgery, and provide the surgeon with needed instruments. Registered nurses may perform the duties typically associated with surgical technicians, including acting as circulating nurses and scrub nurses. In addition, a nurse may act as the first assistant to the surgeon. OR human traffic has been implicated as a cause of surgical site infection. SUMMARY A computing system may be configured to obtain and aggregate surgical monitoring data associated with multiple surgical procedures. The multiple surgical procedures may be associated with one or more operating rooms (ORs), and the surgical monitoring data may be obtained via one or more surgical hubs in the OR(s). Surgical resource utilization adjustment(s) may be generated based on the aggregated surgical resource monitoring data, and an output may be generated based on the determined surgical resource utilization adjustment. For example, resource allocation and utilization data and surgical outcome data across multiple ORs may be obtained and aggregated. The aggregated data may be used to generate resource allocation adjustment(s) for the ORs. Resource allocation adjustment(s) may include, but not limited to, healthcare personnel (HCP) assignment adjustment(s), surgery scheduling adjustment(s), surgical instrument allocation adjustment(s), OR layout adjustment(s), and/or medical facility layout adjustment(s), etc. For example, the surgical monitoring data may include surgical resource monitoring data, HCP monitoring data, surgical instrument utilization data, and/or surgical procedure progression data associated with multiple surgical procedures that may take place in multiple ORs. The surgical monitoring data may include instrument stock and utilization data, OR turnover data and/or cost data associated with the surgical procedures. HCP efficiency may be analyzed based on the aggregated OR utilization data, the aggregated OR turnover data, the aggregated HCP reposition data, and/or the aggregated instrument exchange data associated with the plurality of surgical procedures. Procedure summary information associated with multiple ORs may be generated based on the aggregated surgical monitoring data. Procedure summary information may include planned, actual and projected HCP assignment information, planned, actual and projected surgical step information, and/or planned, actual and projected surgical resource information. The computing system may generate an output based on the determined adjustment(s). The output may include, but not limited to, a control signal for adjusting an HCP assignment, adjusting surgery scheduling, adjusting surgical instrument allocation, adjusting surgical plan(s), notifying HCPs and/or administrators of surgical resource adjustments, notifying potential issues and/or providing recommendations. For example, a set of repetitive trips may be identified based on the aggregated HCP monitoring data, and surgical tasks associated with the set of repetitive trips may be identified based on the aggregated surgical procedure progression data associated with the surgical procedures. HCP task assignment adjustment(s) may be determined for reducing the distance traveled associated with the identified surgical tasks. For example, a set of combinable tasks may be identified, from the surgical tasks associated with the repetitive trips, based on the aggregated surgical procedure progression data. The computing system may generate an output to indicate the combinable tasks. For example, aspect(s) of OR layout associated with the identified repetitive trips may be identified, and OR layout adjustment(s) m