Intelligent operating room management early warning system based on multidirectional monitoring

Abstract

The invention discloses an intelligent operating room management early warning system based on multidirectional monitoring, relates to the technical field of operating room management early warning, and solves the technical problem that in the prior art, multidirectional monitoring cannot be carried out on the environment, instrument use and consumable delivery in the operation process of an intelligent operating room. Specifically, intelligent analysis is carried out on the drug environment in the operating room, whether the drug storage environment meets drug requirements in the operating room operation process or not is judged, timely drug supply during operating room operation is guaranteed, operating room operation qualification is improved, meanwhile, drug availability can be monitored according to drug environment monitoring, and early warning is carried out when abnormity occurs. Environment monitoring can be carried out on the operating room to ensure that the indoor environment meets the requirements in the operating room operation process; used instruments in the operating room operation process are subjected to use analysis, whether the instruments are used abnormally in the operating room operation process or not is judged, and the situation that the use efficiency of the used instruments is unqualified is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of operating room management warning, and specifically to an intelligent operating room management warning system based on multi-directional monitoring. Background Technique

[0002] The operating room is a place for providing surgeries and rescues for patients and is an important technical department of the hospital; the operating room should be connected to the surgical departments, and also be adjacent to the blood bank, intensive care unit, anesthesia recovery room, etc.; pay attention to the link management of the four ways of surgical incision infection, namely: the air in the operating room; the items required for the surgery.

[0003] However, in the prior art, during the operation of the intelligent operating room, it is unable to conduct multi-directional monitoring on the environment, instrument usage, and consumable distribution, and cannot ensure the safety of the operating room operation, so that timely warning cannot be carried out. At the same time, it is unable to analyze the movement trajectory during the operation of the operating room, reducing the management efficiency of the operating room.

[0004] In view of the above technical defects, a solution is proposed now. Summary of the Invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and propose an intelligent operating room management warning system based on multi-directional monitoring.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An intelligent operating room management warning system based on multi-directional monitoring includes an operating room management platform, wherein the operating room management platform is communicatively connected to a drug environment analysis unit, an instrument usage analysis unit, and a consumable distribution analysis unit;

[0008] The drug environment analysis unit conducts intelligent analysis on the drug environment in the operating room, obtains the speed data and duration data of the operating room during the operation period of the operating room, and judges whether the drug storage environment during the operation of the operating room meets the drug requirements according to the threshold comparison; after the environmental analysis is qualified, the instrument usage analysis unit conducts usage analysis on the instruments used during the operation of the operating room, obtains the number of times data and speed ratio data of the used instruments, and judges whether there are any abnormalities in the instrument usage during the operation of the operating room according to the data analysis;

[0009] After the instrument usage analysis is normal, the consumable distribution analysis unit conducts analysis on the consumable distribution in the operating room, obtains the outbound duration data and return duration data, and judges whether the consumable distribution in the operating room meets the actual requirements according to the data comparison.

[0010] As a preferred embodiment of the present invention, the speed data and the duration data are respectively the peak growth speed of the non-intersecting environmental parameters between the real-time environmental parameters and the set environmental parameter range at the drug storage location during the operation period of the operating room, and the corresponding duration ratio of the peak duration when the real-time environmental parameters at the drug storage location during the operation period of the operating room are not within the set environmental parameter range to the peak duration when they are within the set environmental parameter range.

[0011] As a preferred embodiment of the present invention, the threshold comparison process is as follows:

[0012] If the speed data exceeds the environmental parameter peak growth speed threshold, or the duration data exceeds the peak duration ratio threshold, a drug environmental abnormality signal is generated and the drug environmental abnormality signal is sent to the operating room management platform;

[0013] If the speed data does not exceed the environmental parameter peak growth speed threshold and the duration data does not exceed the peak duration ratio threshold, a drug environmental normal signal is generated and the drug environmental normal signal is sent to the operating room management platform.

[0014] As a preferred embodiment of the present invention, the number data and the speed ratio data are respectively the number of consecutive occurrences where the real-time placement position of the surgical instrument after use during the operation of the operating room is not the same as the actual set position, and the speed ratio of the continuous growth speed of the number of surgical instruments with inconsistent placement positions and set positions to the continuous growth speed of placing surgical instruments according to the set position during the operation of the operating room.

[0015] As a preferred embodiment of the present invention, the data analysis process is as follows:

[0016] If the number data exceeds the consecutive occurrence number threshold, or the speed ratio data exceeds the continuous growth speed ratio threshold, an instrument usage abnormality signal is generated and the instrument usage abnormality signal is sent to the operating room management platform;

[0017] If the number data does not exceed the consecutive occurrence number threshold and the speed ratio data does not exceed the continuous growth speed ratio threshold, an instrument usage normal signal is generated and the instrument usage normal signal is sent to the operating room management platform.

[0018] As a preferred embodiment of the present invention, the out-of-stock duration data and the return-to-stock duration data are respectively the time deviation value between the interval duration of the out-of-stock of the supplied consumables and the usage of the consumables and the required duration of the consumable supply when the operating room needs consumable supply, and the time deviation value between the return duration of the unused amount of the consumables during the operation of the operating room when the consumables are returned for supply and the out-of-stock supply duration of the consumables.

[0019] As a preferred embodiment of the present invention, the data comparison process is as follows:

[0020] If the deviation value threshold of the outbound duration data exceeds the delivery requirement duration, or the deviation value threshold of the return duration data exceeds the actual return requirement duration, a low-efficiency signal for consumable delivery is generated and sent to the operating room management platform;

[0021] If the deviation value threshold of the outbound duration data does not exceed the delivery requirement duration, and the deviation value threshold of the return duration data does not exceed the actual return requirement duration, a high-efficiency signal for consumable delivery is generated and sent to the operating room management platform.

[0022] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0023] 1. In the present invention, the drug environment in the operating room is intelligently analyzed to determine whether the drug storage environment during the operation of the operating room meets the drug requirements, ensuring timely drug supply during the operation of the operating room, improving the qualification of the operation of the operating room. At the same time, the availability of drugs can be monitored based on drug environment monitoring and early warnings can be issued in case of abnormalities, and the environment of the operating room can be monitored to ensure that the indoor environment during the operation of the operating room meets the requirements; the use of instruments during the operation of the operating room is analyzed to determine whether there are abnormalities in the use of instruments during the operation of the operating room, avoiding the unqualified use efficiency of the used instruments, resulting in a reduction in the operating efficiency of the operating room and affecting the normal operation progress of the operating room, and giving early warnings and maintenance in a timely manner to ensure the normal operation of the operating room.

[0024] 2. In the present invention, the consumable delivery in the operating room is analyzed to determine whether the consumable delivery in the operating room meets the actual requirements, thus ensuring that there is no delivery risk in the consumable delivery in the operating room, avoiding low efficiency in consumable management during the delivery process and affecting the consumable delivery efficiency; the movement trajectory of the operating room during the operation process is analyzed, and based on the movement trajectory analysis, it is determined whether there is a risk in the operating efficiency of the operating room, and the trajectory is planned in a timely manner, improving the operating efficiency of the operating room. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0026] Figure 1 It is the principle block diagram of the first embodiment in the present invention;

[0027] Figure 2 It is the principle block diagram of the second embodiment in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0028] To enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts belong to the scope of protection of the present invention.

[0029] As used herein, the phrase "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0030] Embodiment 1

[0031] Please refer to Figure 1 As shown, a smart operating room management and warning system based on multi-directional monitoring includes an operating room management platform, wherein the operating room management platform is communicatively connected to a drug environment analysis unit, an instrument usage analysis unit, and a consumable delivery analysis unit;

[0032] The operating room management platform generates a drug environment analysis signal and sends the drug environment analysis signal to the drug environment analysis unit. After receiving the drug environment analysis signal, the drug environment analysis unit intelligently analyzes the drug environment in the operating room, judges whether the drug storage environment during the operation of the operating room meets the drug requirements, ensures the timely supply of drugs during the operation of the operating room, improves the qualification rate of the operation of the operating room, and at the same time can monitor the availability of drugs according to the drug environment monitoring and give an early warning in case of abnormality, and can also monitor the environment of the operating room to ensure that the indoor environment meets the requirements during the operation of the operating room;

[0033] Obtain the peak growth rate of the non-intersecting environmental parameter of the real-time environmental parameters of the drug storage location during the operation period of the operating room and the set environmental parameter range, and at the same time obtain the corresponding duration ratio of the peak duration when the real-time environmental parameters of the drug storage location during the operation period of the operating room are not within the set environmental parameter range to the peak duration when they are within the set environmental parameter range, and mark the peak growth rate of the non-intersecting environmental parameter of the real-time environmental parameters of the drug storage location during the operation period of the operating room and the corresponding duration ratio of the peak duration when the real-time environmental parameters of the drug storage location during the operation period of the operating room are not within the set environmental parameter range to the peak duration when they are within the set environmental parameter range as speed data and duration data respectively, and compare them with the environmental parameter peak growth rate threshold and the peak duration ratio threshold respectively, wherein the environmental parameter is represented by the temperature value, humidity value, and dust content in the environment;

[0034] If the peak growth rate of the environmental parameters in the non-intersection of the real-time environmental parameters at the drug storage location during the operating room operation period and the set environmental parameter range exceeds the environmental parameter peak growth rate threshold, or the ratio of the peak duration when the real-time environmental parameters at the drug storage location during the operating room operation period are not within the set environmental parameter range to the peak duration when they are within the set environmental parameter range exceeds the peak duration ratio threshold, it is determined that the drug environment analysis during the operating room operation period is abnormal. A drug environment abnormal signal is generated and sent to the operating room management platform. After receiving the drug environment abnormal signal, the operating room management platform rectifies the environment at the drug storage location in the operating room and adjusts the operating room environment simultaneously;

[0035] If the peak growth rate of the environmental parameters in the non-intersection of the real-time environmental parameters at the drug storage location during the operating room operation period and the set environmental parameter range does not exceed the environmental parameter peak growth rate threshold, and the ratio of the peak duration when the real-time environmental parameters at the drug storage location during the operating room operation period are not within the set environmental parameter range to the peak duration when they are within the set environmental parameter range does not exceed the peak duration ratio threshold, it is determined that the drug environment analysis during the operating room operation period is normal. A drug environment normal signal is generated and sent to the operating room management platform;

[0036] Meanwhile, an instrument usage analysis signal is generated and sent to the instrument usage analysis unit. After receiving the instrument usage analysis signal, the instrument usage analysis unit conducts a usage analysis on the instruments used during the operating room operation, determines whether there are any abnormalities in the instrument usage during the operating room operation, avoids the unqualified usage efficiency of the used instruments, which may cause a decrease in the operating room operation efficiency and affect the normal surgical progress in the operating room, and issues a warning and maintenance in a timely manner to ensure the normal operation of the operating room;

[0037] Obtain the number of consecutive occurrences where the real-time placement position of the surgical instrument after use during the operating room operation is not the same as the actual set position, and at the same time obtain the speed ratio of the continuous growth rate of the number of surgical instruments with inconsistent placement positions and set positions after use during the operating room operation to the continuous growth rate of the surgical instruments placed according to the set position. Mark the number of consecutive occurrences where the real-time placement position of the surgical instrument after use during the operating room operation is not the same as the actual set position, and the speed ratio of the continuous growth rate of the number of surgical instruments with inconsistent placement positions and set positions after use during the operating room operation to the continuous growth rate of the surgical instruments placed according to the set position as the number data and the speed ratio data respectively, and compare them with the consecutive occurrence number threshold and the continuous growth rate ratio threshold respectively:

[0038] If the number of consecutive occurrences where the real-time placement position of surgical instruments after use during the operation of the operating room is not the same as the actual set position exceeds the consecutive occurrence threshold, or the ratio of the continuous growth rate of the number of surgical instruments with inconsistent placement positions and set positions to the continuous growth rate of surgical instruments placed at the set position during the operation of the operating room exceeds the continuous growth rate ratio threshold, it is determined that the analysis of instrument use during the operation of the operating room is abnormal. An instrument use abnormal signal is generated and sent to the operating room management platform; after receiving the instrument use abnormal signal, the operating room management platform rectifies the instrument use in the operating room and re-plans and sets the placement position according to the order of instrument use in the operating room;

[0039] If the number of consecutive occurrences where the real-time placement position of surgical instruments after use during the operation of the operating room is not the same as the actual set position does not exceed the consecutive occurrence threshold, and the ratio of the continuous growth rate of the number of surgical instruments with inconsistent placement positions and set positions to the continuous growth rate of surgical instruments placed at the set position during the operation of the operating room does not exceed the continuous growth rate ratio threshold, it is determined that the analysis of instrument use during the operation of the operating room is normal. An instrument use normal signal is generated and sent to the operating room management platform;

[0040] At the same time, a consumable distribution analysis signal is generated and sent to the consumable distribution analysis unit. After receiving the consumable distribution analysis signal, the consumable distribution analysis unit analyzes the consumable distribution in the operating room to determine whether the consumable distribution in the operating room meets the actual needs, so as to ensure that there is no distribution risk in the consumable distribution in the operating room and avoid low efficiency in consumable management during the distribution process, which affects the consumable distribution efficiency;

[0041] Obtain the time deviation value between the interval duration from the out-of-stock of distribution consumables to the use of consumables and the consumable distribution requirement duration when the operating room needs consumable distribution, and at the same time obtain the time deviation value between the consumable return distribution duration and the out-of-stock distribution duration when the unused quantity of consumables is returned to the warehouse during the operation of the operating room. Mark the time deviation value between the interval duration from the out-of-stock of distribution consumables to the use of consumables and the consumable distribution requirement duration, and the time deviation value between the consumable return distribution duration and the out-of-stock distribution duration when the unused quantity of consumables is returned to the warehouse during the operation of the operating room as the out-of-stock duration data and the return duration data respectively, and compare them with the distribution requirement duration time deviation value threshold and the return actual requirement duration deviation value threshold respectively:

[0042] If, when the operating room needs consumable delivery during operation, the time deviation value between the interval duration from the delivery consumable out-of-stock to the consumable use and the consumable delivery demand duration exceeds the threshold value of the time deviation value of the delivery demand duration, or when the unused quantity of consumable delivery during the operation of the operating room is returned to the warehouse, the time deviation value between the consumable return delivery duration and the consumable out-of-stock delivery duration exceeds the threshold value of the actual demand duration deviation value for return to the warehouse, it is determined that the analysis of consumable delivery during the operation of the operating room is abnormal, a consumable delivery inefficiency signal is generated and the consumable delivery inefficiency signal is sent to the operating room management platform. After receiving the consumable delivery inefficiency signal, the operating room management platform supervises the consumable delivery during the operation of the operating room to avoid time differences during the consumable delivery process, resulting in monitoring time loopholes for the delivered consumables, low delivery efficiency and inability to ensure the qualified use of consumables;

[0043] If, when the operating room needs consumable delivery during operation, the time deviation value between the interval duration from the delivery consumable out-of-stock to the consumable use and the consumable delivery demand duration does not exceed the threshold value of the time deviation value of the delivery demand duration, and when the unused quantity of consumable delivery during the operation of the operating room is returned to the warehouse, the time deviation value between the consumable return delivery duration and the consumable out-of-stock delivery duration does not exceed the threshold value of the actual demand duration deviation value for return to the warehouse, it is determined that the analysis of consumable delivery during the operation of the operating room is normal, a consumable delivery efficiency signal is generated and the consumable delivery efficiency signal is sent to the operating room management platform;

[0044] Embodiment 2

[0045] Please refer to Figure 2 As shown, in the previous embodiment, the items in the operating room are monitored, while in this embodiment, the indoor trajectory is analyzed. By analyzing and monitoring the moving trajectory in the operating room, it is ensured that the indoor trajectory is qualified during the operation of the operating room, and obstacles are avoided to reduce the operating efficiency of the operating room;

[0046] The operating room management platform generates an indoor trajectory analysis signal and sends the indoor trajectory analysis signal to the indoor trajectory analysis unit. After receiving the indoor trajectory analysis signal, the indoor trajectory analysis unit performs a moving trajectory analysis on the operation process of the operating room, judges whether there is a risk in the operating efficiency of the operating room according to the moving trajectory analysis, and performs trajectory planning in a timely manner, improving the operating efficiency of the operating room;

[0047] Obtain the shortening span of the overlapping period corresponding to the overlapping point of the moving trajectory of the moving body during the operation of the operating room, and at the same time obtain the delay time amount between the actual duration of the moving body at the current trajectory point position and the set duration during the operation of the operating room, and mark the shortening span of the overlapping period corresponding to the overlapping point of the moving trajectory of the moving body during the operation of the operating room and the delay time amount between the actual duration of the moving body at the current trajectory point position and the set duration during the operation of the operating room as SDK and YCJ respectively;

[0048] Obtain the increase in the number of overlapping points of the actual movement trajectory of the moving entity during the operation of the operating room compared to the set number of overlapping movement points, and mark the increase in the number of overlapping points of the actual movement trajectory of the moving entity during the operation of the operating room compared to the set number of overlapping movement points as DWZ; the moving entity refers to moving objects such as doctors, nurses, or instrument trolleys in the operating room;

[0049] Obtain the indoor trajectory analysis coefficient G during the operation of the operating room through the formula G = SDK×a1 + YCJ×a2 + DWZ×a3, where a1, a2, and a3 are the preset proportionality coefficients of the shortening span of the overlapping period, the amount of delay time, and the increase in the number of overlapping points respectively, and a1 > a2 > a3 > 1;

[0050] Compare the indoor trajectory analysis coefficient G during the operation of the operating room with the indoor trajectory analysis coefficient threshold:

[0051] If the indoor trajectory analysis coefficient G during the operation of the operating room exceeds the indoor trajectory analysis coefficient threshold, it is determined that the indoor trajectory analysis during the operation of the operating room is abnormal, generate an indoor trajectory abnormal signal and send the indoor trajectory abnormal signal to the operating room management platform. After receiving the indoor trajectory abnormal signal, the operating room management platform performs movement planning on the moving entities in the operating room and gives an early warning when the trajectory is abnormal;

[0052] If the indoor trajectory analysis coefficient G during the operation of the operating room does not exceed the indoor trajectory analysis coefficient threshold, it is determined that the indoor trajectory analysis during the operation of the operating room is normal, generate an indoor trajectory normal signal and send the indoor trajectory normal signal to the operating room management platform;

[0053] The above formulas are all obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The coefficients in the formula are set by those skilled in the art according to the actual situation; for example: the formula G = SDK×a1 + YCJ×a2 + DWZ×a3; those skilled in the art collect multiple groups of sample data and set corresponding reference coefficients for each group of sample data; substitute the set reference coefficients and the collected sample data into the formula, and any three formulas form a system of linear equations with three variables. Screen and take the average of the calculated coefficients to obtain the values of a1, a2, and a3 as 3.68, 2.81, and 2.32 respectively;

[0054] When the present invention is in use, the drug environment analysis unit conducts intelligent analysis on the drug environment in the operating room, obtains the speed data and duration data of the operating room during the operation period of the operating room, and judges whether the drug storage environment meets the drug requirements during the operation of the operating room according to the threshold comparison; after the environmental analysis is qualified, the instrument use analysis unit conducts use analysis on the instruments used during the operation of the operating room, obtains the number of times data and speed ratio data of the used instruments, and judges whether there are abnormalities in the use of the instruments during the operation of the operating room according to the data analysis; after the analysis of the used instruments is normal, the consumable distribution analysis unit analyzes the consumable distribution in the operating room, obtains the outbound duration data and return duration data, and judges whether the consumable distribution in the operating room meets the actual requirements according to the data comparison.

[0055] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the relevant art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A smart operating room management warning system based on multi-directional monitoring, characterized in that, It includes an operating room management platform, which is communicatively connected to a drug environment analysis unit, an instrument usage analysis unit, and a consumable distribution analysis unit; The drug environment analysis unit conducts intelligent analysis on the drug environment in the operating room, obtains the speed data and duration data of the operating room during the operating room operation period, and judges whether the drug storage environment during the operating room operation meets the drug requirements according to the threshold comparison; After the environmental analysis is qualified, the instrument usage analysis unit conducts usage analysis on the instruments used during the operating room operation, obtains the usage times data and speed ratio data of the used instruments, and judges whether there are any abnormalities in the instrument usage during the operating room operation according to the data analysis; After the instrument usage analysis is normal, the consumable distribution analysis unit analyzes the consumable distribution in the operating room, obtains the outbound duration data and return duration data, and judges whether the operating room consumable distribution meets the actual requirements according to the data comparison.

2. The intelligent operating room management and warning system based on multi-directional monitoring according to claim 1, characterized in that, The speed data and duration data are respectively the peak growth speed of the non-intersection environmental parameters between the real-time environmental parameters of the drug storage location and the set environmental parameter range during the operating room operation period, and the ratio of the peak duration when the real-time environmental parameters of the drug storage location are not within the set environmental parameter range to the peak duration when they are within the set environmental parameter range during the operating room operation period.

3. The intelligent operating room management warning system based on multi-directional monitoring according to claim 2, characterized in that, The threshold comparison process is as follows: If the speed data exceeds the environmental parameter peak growth speed threshold, or the duration data exceeds the peak duration ratio threshold, a drug environment abnormal signal is generated and sent to the operating room management platform; If the speed data does not exceed the environmental parameter peak growth speed threshold and the duration data does not exceed the peak duration ratio threshold, a drug environment normal signal is generated and sent to the operating room management platform.

4. The intelligent operating room management warning system based on multi-directional monitoring according to claim 1, characterized in that, The usage times data and speed ratio data are respectively the number of consecutive occurrences where the real-time placement position of the surgical instrument after use is not the same as the actual set position during the operating room operation, and the speed ratio of the continuous growth speed of the number of surgical instruments with inconsistent placement positions and set positions to the continuous growth speed of surgical instruments placed according to the set position during the operating room operation.

5. The intelligent operating room management warning system based on multi-directional monitoring according to claim 4, characterized in that The data analysis process is as follows: If the usage times data exceeds the consecutive occurrence threshold, or the speed ratio data exceeds the continuous growth speed ratio threshold, an instrument usage abnormal signal is generated and sent to the operating room management platform; If the usage times data does not exceed the consecutive occurrence threshold and the speed ratio data does not exceed the continuous growth speed ratio threshold, an instrument usage normal signal is generated and sent to the operating room management platform.

6. The intelligent operating room management warning system based on multi-directional monitoring according to claim 1, characterized in that The outbound duration data and return duration data are respectively the time deviation value between the interval duration between the outbound of the distributed consumables and the use of the consumables and the consumable distribution demand duration when the operating room operation requires consumable distribution, and the time deviation value between the return duration of the unused consumables during the operating room operation and the outbound distribution duration of the consumables.

7. The intelligent operating room management warning system based on multi-directional monitoring according to claim 6, wherein, The data comparison process is as follows: If the outbound duration data exceeds the time deviation value threshold of the distribution demand duration, or the return duration data exceeds the deviation value threshold of the actual return demand duration, an inefficient consumable distribution signal is generated and sent to the operating room management platform; If the outbound duration data does not exceed the time deviation value threshold of the distribution demand duration and the return duration data does not exceed the deviation value threshold of the actual return demand duration, an efficient consumable distribution signal is generated and sent to the operating room management platform.

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