Medical beauty surgery whole-process information management system

Abstract

The invention, which relates to the technical field of information management, discloses a medical beauty operation whole-process information management system comprising an information receiving management module, an operation management module, a medicine management module and a remote control terminal. According to the method, the seasonal period of the medical beauty surgery is limited, the corresponding function is generated through data analysis based on the historical medical beauty surgery sessions, medical beauty surgery statistics in the relative period is carried out, after equalization processing is carried out according to the medical beauty surgery statistics, the medical beauty surgery sessions in the real-time relative period are obtained by predicting the proportionality coefficient, and the medical beauty surgery sessions in the real-time relative period are obtained. According to the predicted number of drugs needed by each medical beauty operation, the consumption of drugs needed by the future operation session in the period is analyzed, and the real-time number of drugs and the predicted consumption of drugs are judged according to the drug management module, so that the purchasing prediction effect of the number of drugs needed by the operation session in the period is achieved. According to the prediction of the number of drugs, the drugs can be purchased and stored reasonably and effectively.

Description

Technical Field

[0001] The present invention relates to the field of medical information technology, and in particular to a full-process information management system for medical aesthetic surgery. Background Art

[0002] The full process information of medical cosmetic surgery belongs to professional medical service information, which covers detailed contents of each link from preoperative consultation, diagnostic evaluation, surgical plan formulation, surgical preparation, surgical implementation process, postoperative care and recovery stage, including the doctor's assessment of the patient's physical condition, the specific operating steps of the operation, the instruments and materials used, possible risks and complications, postoperative precautions, etc.

[0003] At present, more and more people pay attention to appearance and medical beauty, so the medical beauty surgery business is gradually increasing. A large amount of medical supplies will be used in the process of medical beauty surgery. In the existing technology, when purchasing medicines, the procurement management model is mostly based on simple calculations based on historical procurement data, which is easily interfered by subjective factors and has great uncertainty. Therefore, it is impossible to accurately grasp the dynamically changing market demand, resulting in drug inventory backlogs and drug shortages from time to time, affecting the timeliness and effectiveness of clinical treatment. At the same time, the demand for drug use is affected by seasonal trends, resulting in reduced accuracy in drug procurement;

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

[0005] The purpose of the present invention is to improve the efficiency and accuracy of drug procurement and reduce medical costs through seasonal cycle drug forecasting. Drug forecasting procurement achieves accurate forecasting and dynamic management of drug demand by using historical data analysis and forecasting methods, providing strong guarantee for the stable operation of the medical system.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solutions: a full-process information management system for medical aesthetic surgery, including an information receiving management module, a surgery management module, a medicine management module, and a remote control terminal;

[0007] The information receiving management module is used to obtain the patient's medical information, establish a corresponding personal electronic storage library for the patient based on the medical information, record the patient's medical information and drug consumption information during the medical treatment process through the personal electronic storage library, and establish a medical and nursing identity level system for the personal electronic storage library;

[0008] The surgery management module includes a surgery record unit, a surgery drug unit, and a prediction and statistics unit. The surgery record unit is used to obtain the scheduled sessions of historical medical cosmetic surgeries in the hospital department, perform surgery session statistics analysis based on the scheduled sessions of historical medical cosmetic surgeries, and divide the scheduled sessions of historical medical cosmetic surgeries into four periods according to the seasonal cycle. The medical cosmetic surgery sessions in the corresponding four periods are predicted based on the seasonal cycle as the dividing line. The future medical cosmetic surgery sessions are predicted within the relative period through the analysis of the surgery sessions in the four periods, and the predicted surgery sessions are sent to the prediction and statistics unit;

[0009] The surgical drug prediction unit is used to obtain the amount of drugs consumed during historical medical aesthetic surgeries within a period of time, to count the maximum and minimum amounts of drugs required for each medical aesthetic surgery, to analyze the use of surgical drugs based on the amount of drugs consumed, and to generate an estimated drug consumption for each historical medical aesthetic surgery, to perform a periodic drug consumption analysis based on the estimated drug consumption for each historical medical aesthetic surgery, and to send the estimated drug consumption to the medical management unit;

[0010] The prediction and statistics unit is used to receive the predicted number of surgical sessions and the estimated drug consumption, and generate the predicted drug consumption required for the surgical sessions within the cycle by combining the estimated drug consumption and the predicted number of surgical sessions for analysis;

[0011] The medicine management module is used to obtain the predicted drug consumption and manage and monitor the drug usage status in real time. According to the drug usage status, a real-time statistical change table of the remaining and consumed quantities of drugs is generated, and the predicted drug consumption is compared with the remaining quantity of drugs. If it is less than the predicted drug consumption, a purchase and replenishment signal for medical supplies is generated;

[0012] The remote control terminal is used to receive the purchase and replenishment signals of medical supplies, generate visual reports according to the purchase and replenishment signals of medical supplies, and display the visual reports on the network through the remote control terminal.

[0013] Furthermore, the establishment of a medical identity hierarchy system for a personal electronic repository includes the following steps:

[0014] Step 1: Based on the established personal electronic repository, preset the medical staff identity level system, set the corresponding medical information filling permissions, and modify and fill in the medical information content according to the filling permissions;

[0015] Step 2: Obtain basic identity information of medical staff through their mobile terminals, create a separate identity account for each hospital staff, and log in through identity account verification;

[0016] Step 3: By setting the filling permissions, when filling in the medical information, the medical staff information will be automatically entered into the medical information, and the filling area of ​​the medical staff will be automatically restricted, and the filling area of ​​each doctor and nurse will be classified, including the consultation area, medication area, operation area, and postoperative area;

[0017] Step 4: Use the drug information and surgery session filled in the medical information to mark the quantity of drugs used and the surgery time.

[0018] Furthermore, the specific contents of the forecast of future medical aesthetic surgery sessions within the relative period are as follows:

[0019] Step 1: Obtain a time series dataset of medical aesthetic surgery sessions over a period of time, and classify it according to the preset four seasons. Classify the time series dataset to obtain the seasonal index of each period, and calculate the seasonal index according to the following formula: Where M is the drug consumption used in each cosmetic surgery, i is the number of surgeries, and X is the representative value of the cycle, 1, 2, 3, and 4 represent four cycles;

[0020] Step 2: Calculate the proportional coefficient of the seasonal index by dividing the seasonal index by the average index of the corresponding four seasons, generate the proportional coefficient of each cycle, and calculate the proportional coefficient according to the following formula:

[0021] Preliminary calculation of the average index: Where N represents the total number of cycles;

[0022] Calculate the proportional coefficient of the seasonal index based on the average index: Where L X represents the proportionality coefficient of the xth period;

[0023] Step 3: Based on the cycle to be predicted, the proportional coefficient of the cycle is combined with the average index to form a prediction result for future medical aesthetic surgery sessions within the relative cycle.

[0024] Furthermore, the estimated consumption of drugs for each historical medical aesthetic surgery is generated:

[0025] Step 1: Obtain the drug consumption of medical aesthetic surgery in the previous year, generate a three-dimensional visualization report based on the drug consumption with months as the time axis, and display the change trend of drug consumption through the three-dimensional visualization report;

[0026] Step 2: Calculate and count the total drug consumption and surgical sessions in the corresponding period of time based on the 3D visualization report, analyze the maximum and minimum drug consumption required for medical aesthetic surgery and mark them;

[0027] Step 3: Average the total number of drugs according to the number of surgical sessions to obtain the estimated drug consumption for each historical medical aesthetic surgery.

[0028] Furthermore, the specific process of generating the predicted drug consumption required for the surgical sessions within the cycle is as follows:

[0029] Step 1: Obtain the relative cycle of drug consumption to be predicted, and perform forecast analysis on the future number of medical aesthetic surgeries based on the corresponding cycle to generate the forecast results of the number of surgeries;

[0030] Step 2: Obtain the estimated drug consumption of each historical medical aesthetic surgery and the forecast results of future surgery sessions within the relative period, perform collective calculation and analysis on the two, and generate the forecast drug consumption required for future surgery sessions within the relative period based on the analysis results;

[0031] Step 2: Obtain the predicted drug consumption required for future surgical sessions within a relative period, generate predicted drug consumption data values ​​under unified standard specifications, and send the predicted drug consumption data values ​​to the drug management module.

[0032] Furthermore, the medicine management module also includes a medicine backup unit, which is used to store the number of spare medicines and includes the following storage facilities:

[0033] Step 1: In the corresponding period, according to the predicted drug quantity consumption, the ratio of drug quantity consumption is determined, and the drug quantity under the ratio is generated, which is the quantity of drugs to be stored as spare drugs;

[0034] Step 2: After the medicine management module completes the purchase and replenishment of the medicine quantity, the stored spare medicines will be automatically designated as the first-use medicines during the medicine management monitoring.

[0035] Furthermore, the specific process of generating the procurement and replenishment signal of medical supplies is as follows:

[0036] Obtain the predicted drug consumption required for future surgical sessions within the relative period, preset as y, and obtain the remaining drug quantity according to the medicine management module, preset as c;

[0037] If y>c, a purchase and replenishment signal for medical supplies is generated and sent to the remote control terminal.

[0038] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0039] 1. The full-process information management system for medical cosmetic surgery limits the seasonal cycle of medical cosmetic surgery, divides it into four cycles according to the monthly time division, predicts the number of drugs, and generates corresponding functions through data analysis based on historical medical cosmetic surgery sessions, conducts medical cosmetic surgery statistics within the relative cycle, and obtains the number of medical cosmetic surgery sessions within the real-time relative cycle through the prediction proportion coefficient after averaging the medical cosmetic surgery statistics. According to the predicted number of drugs required for each medical cosmetic surgery, the drug consumption required for future surgical sessions within the cycle is analyzed, and the real-time drug quantity and predicted drug consumption are judged according to the drug management module, so as to achieve the procurement prediction effect of the number of drugs required for surgical sessions within the cycle, and according to the prediction of the drug quantity, the drug procurement and storage can be carried out reasonably and effectively. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic diagram of the system flow structure of the present invention is shown. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Embodiment 1:

[0043] like Figure 1 As shown, a medical aesthetic surgery full process information management system is characterized by comprising a department division module, an information receiving management module, a surgery management module, a medicine management module, and a remote control terminal;

[0044] The information receiving management module is used to obtain the patient's medical information, establish a corresponding personal electronic storage library for the patient based on the medical information, record the patient's medical information and drug consumption information during the medical treatment process through the personal electronic storage library, and establish a medical and nursing identity level system for the personal electronic storage library;

[0045] The surgery management module includes a surgery record unit, a surgery drug unit, and a prediction and statistics unit. The surgery record unit is used to obtain the scheduled sessions of historical medical cosmetic surgeries in the hospital department, perform surgery session statistics analysis based on the scheduled sessions of historical medical cosmetic surgeries, and divide the scheduled sessions of historical medical cosmetic surgeries into four periods according to the seasonal cycle. The medical cosmetic surgery sessions in the corresponding four periods are predicted based on the seasonal cycle as the dividing line. The future medical cosmetic surgery sessions are predicted within the relative period through the analysis of the surgery sessions in the four periods, and the predicted surgery sessions are sent to the prediction and statistics unit;

[0046] The surgical drug prediction unit is used to obtain the amount of drugs consumed during historical medical aesthetic surgeries within a period of time, to count the maximum and minimum amounts of drugs required for each medical aesthetic surgery, to analyze the use of surgical drugs based on the amount of drugs consumed, and to generate an estimated drug consumption for each historical medical aesthetic surgery, to perform a periodic drug consumption analysis based on the estimated drug consumption for each historical medical aesthetic surgery, and to send the estimated drug consumption to the medical management unit;

[0047] The prediction and statistics unit is used to receive the predicted number of surgical sessions and the estimated drug consumption, and generate the predicted drug consumption required for the surgical sessions within the cycle by combining the estimated drug consumption and the predicted number of surgical sessions for analysis;

[0048] The medicine management module is used to obtain the predicted drug consumption and manage and monitor the drug usage status in real time. According to the drug usage status, a real-time statistical change table of the remaining and consumed quantities of drugs is generated, and the predicted drug consumption is compared with the remaining quantity of drugs. If it is less than the predicted drug consumption, a purchase and replenishment signal for medical supplies is generated;

[0049] The remote control terminal is used to receive the purchase and replenishment signals of medical supplies, generate visual reports according to the purchase and replenishment signals of medical supplies, and display the visual reports on the network through the remote control terminal.

[0050] The establishment of a healthcare identity hierarchy system for personal electronic repositories involves the following steps:

[0051] Step 1: Based on the established personal electronic repository, preset the medical staff identity level system, set the corresponding medical information filling permissions, and modify and fill in the medical information content according to the filling permissions;

[0052] Step 2: Obtain basic identity information of medical staff through their mobile terminals, create a separate identity account for each hospital staff, and log in through identity account verification;

[0053] Step 3: By setting the filling permissions, when filling in the medical information, the medical staff information will be automatically entered into the medical information, and the filling area of ​​the medical staff will be automatically restricted, and the filling area of ​​each doctor and nurse will be classified, including the consultation area, medication area, operation area, and postoperative area;

[0054] Step 4: Use the drug information and surgery session filled in the medical information to mark the quantity of drugs used and the surgery time.

[0055] The specific contents of the analysis of the predicted number of future medical aesthetic surgeries within the relative period are as follows:

[0056] Step 1: Obtain a time series dataset of medical aesthetic surgery sessions over a period of time, and classify it according to the preset four seasons. Classify the time series dataset to obtain the seasonal index of each period, and calculate the seasonal index according to the following formula: Where M is the drug consumption used in each cosmetic surgery, i is the number of surgeries, and X is the representative value of the cycle, 1, 2, 3, and 4 represent four cycles;

[0057] Step 2: Calculate the proportional coefficient of the seasonal index by dividing the seasonal index by the average index of the corresponding four seasons, generate the proportional coefficient of each cycle, and calculate the proportional coefficient according to the following formula:

[0058] Preliminary calculation of the average index: Where N represents the total number of cycles;

[0059] Calculate the proportional coefficient of the seasonal index based on the average index: Where L X represents the proportionality coefficient of the xth period;

[0060] Step 3: Based on the cycle to be predicted, the proportional coefficient of the cycle is combined with the average index to form a prediction result for future medical aesthetic surgery sessions within the relative cycle.

[0061] The estimated consumption of drugs for each historical cosmetic surgery is generated as follows:

[0062] Step 1: Obtain the drug consumption of medical aesthetic surgery in the previous year, generate a three-dimensional visualization report based on the drug consumption with months as the time axis, and display the change trend of drug consumption through the three-dimensional visualization report;

[0063] Step 2: Calculate and count the total drug consumption and surgical sessions in the corresponding period of time based on the 3D visualization report, analyze the maximum and minimum drug consumption required for medical aesthetic surgery and mark them;

[0064] Step 3: Average the total number of drugs according to the number of surgical sessions to obtain the estimated drug consumption for each historical medical aesthetic surgery.

[0065] The specific process of generating the predicted drug consumption required for the surgical sessions within the cycle is as follows:

[0066] Step 1: Obtain the relative cycle of drug consumption to be predicted, and perform forecast analysis on the future number of medical aesthetic surgeries based on the corresponding cycle to generate the forecast results of the number of surgeries;

[0067] Step 2: Obtain the estimated drug consumption of each historical medical aesthetic surgery and the forecast results of future surgery sessions within the relative period, perform collective calculation and analysis on the two, and generate the forecast drug consumption required for future surgery sessions within the relative period based on the analysis results;

[0068] Step 2: Obtain the predicted drug consumption required for future surgical sessions within a relative period, generate predicted drug consumption data values ​​under unified standard specifications, and send the predicted drug consumption data values ​​to the drug management module.

[0069] The medicine management module also includes a medicine backup unit, which is used to store the number of spare medicines and includes the following storage facilities:

[0070] Step 1: In the corresponding period, according to the predicted drug quantity consumption, the ratio of drug quantity consumption is determined, and the drug quantity under the ratio is generated, which is the quantity of drugs to be stored as spare drugs;

[0071] Step 2: After the medicine management module completes the purchase and replenishment of the medicine quantity, the stored spare medicines will be automatically designated as the first-use medicines during the medicine management monitoring.

[0072] The specific process of generating procurement and replenishment signals for medical supplies is as follows:

[0073] Obtain the predicted drug consumption required for future surgical sessions within the relative period, preset as y, and obtain the remaining drug quantity according to the medicine management module, preset as c;

[0074] If y>c, a purchase and replenishment signal for medical supplies is generated and sent to the remote control terminal.

[0075] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technical personnel in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0076] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0077] In the two embodiments provided in the present application, it should be understood that the disclosed system can be implemented in other ways; for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed; another point, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the modules can be electrical, mechanical or other forms;

[0078] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A full-process information management system for medical aesthetic surgery, characterized in that: It includes information receiving management module, surgery management module, medicine management module and remote control terminal; The information receiving management module is used to obtain the patient's medical information, establish a corresponding personal electronic storage library for the patient based on the medical information, record the patient's medical information and drug consumption information during the medical treatment process through the personal electronic storage library, and establish a medical and nursing identity level system for the personal electronic storage library; The surgery management module includes a surgery record unit, a surgery drug unit, and a prediction and statistics unit. The surgery record unit is used to obtain the scheduled sessions of historical medical cosmetic surgeries in the hospital department, perform surgery session statistics analysis based on the scheduled sessions of historical medical cosmetic surgeries, and divide the scheduled sessions of historical medical cosmetic surgeries into four periods according to the seasonal cycle. The medical cosmetic surgery sessions in the corresponding four periods are predicted based on the seasonal cycle as the dividing line. The future medical cosmetic surgery sessions are predicted within the relative period through the analysis of the surgery sessions in the four periods, and the predicted surgery sessions are sent to the prediction and statistics unit; The surgical drug prediction unit is used to obtain the amount of drugs consumed during historical medical aesthetic surgeries within a period of time, to count the maximum and minimum amounts of drugs required for each medical aesthetic surgery, to analyze the use of surgical drugs based on the amount of drugs consumed, and to generate an estimated drug consumption for each historical medical aesthetic surgery. Based on the estimated drug consumption for each historical medical aesthetic surgery, a periodic drug consumption analysis is performed to obtain an estimated drug consumption, and the estimated drug consumption is sent to the medical management unit; The prediction and statistics unit is used to receive the predicted number of surgical sessions and the estimated drug consumption, and generate the predicted drug consumption required for the surgical sessions within the cycle by combining the estimated drug consumption and the predicted number of surgical sessions for analysis; The medicine management module is used to obtain the predicted drug consumption and manage and monitor the drug usage status in real time. According to the drug usage status, a real-time statistical change table of the remaining and consumed quantities of drugs is generated, and the predicted drug consumption is compared with the remaining quantity of drugs. If it is less than the predicted drug consumption, a purchase and replenishment signal for medical supplies is generated; The remote control terminal is used to receive the purchase and replenishment signals of medical supplies, generate visual reports according to the purchase and replenishment signals of medical supplies, and display the visual reports on the network through the remote control terminal.

2. The medical cosmetic surgery full process information management system according to claim 1, characterized in that: The establishment of a healthcare identity hierarchy system for personal electronic repositories involves the following steps: Step 1: Based on the established personal electronic repository, preset the medical staff identity level system, set the corresponding medical information filling permissions, and modify and fill in the medical information content according to the filling permissions; Step 2: Obtain basic identity information of medical staff through their mobile terminals, create a separate identity account for each hospital staff, and log in through identity account verification; Step 3: By setting the filling permissions, when filling in the medical information, the medical staff information will be automatically entered into the medical information, and the filling area of ​​the medical staff will be automatically restricted, and the filling area of ​​each doctor and nurse will be classified, including the consultation area, medication area, operation area, and postoperative area; Step 4: Use the drug information and surgery session filled in the medical information to mark the quantity of drugs used and the surgery time.

3. The medical cosmetic surgery full process information management system according to claim 1, characterized in that: The specific contents of the analysis of the predicted number of future medical aesthetic surgeries within the relative period are as follows: Step 1: Obtain a time series dataset of medical aesthetic surgery sessions over a period of time, and classify it according to the preset four seasons. Classify the time series dataset to obtain the seasonal index of each period, and calculate the seasonal index according to the following formula: Where M is the drug consumption used in each cosmetic surgery, i is the number of surgeries, and X is the representative value of the cycle, 1, 2, 3, and 4 represent four cycles; Step 2: Calculate the proportional coefficient of the seasonal index by dividing the seasonal index by the average index of the corresponding four seasons, generate the proportional coefficient of each cycle, and calculate the proportional coefficient according to the following formula: Preliminary calculation of the average index: Where N represents the total number of cycles; Calculate the proportional coefficient of the seasonal index based on the average index: Where L X represents the proportionality coefficient of the xth period; Step 3: Based on the cycle to be predicted, the proportional coefficient of the cycle is combined with the average index to form a prediction result for future medical aesthetic surgery sessions within the relative cycle.

4. The medical cosmetic surgery full process information management system according to claim 3, characterized in that: The estimated consumption of drugs for each historical cosmetic surgery is generated as follows: Step 1: Obtain the drug consumption of medical aesthetic surgery in the previous year, generate a three-dimensional visualization report based on the drug consumption with months as the time axis, and display the change trend of drug consumption through the three-dimensional visualization report; Step 2: Calculate and count the total drug consumption and surgical sessions in the corresponding period of time based on the 3D visualization report, analyze the maximum and minimum drug consumption required for medical aesthetic surgery and mark them; Step 3: Average the total number of drugs according to the number of surgical sessions to obtain the estimated drug consumption for each historical medical aesthetic surgery.

5. The medical cosmetic surgery full process information management system according to claim 4, characterized in that: The specific process of generating the predicted drug consumption required for the surgical sessions within the cycle is as follows: Step 1: Obtain the relative cycle of drug consumption to be predicted, and perform forecast analysis on the future number of medical aesthetic surgeries based on the corresponding cycle to generate the forecast results of the number of surgeries; Step 2: Obtain the estimated drug consumption of each historical medical aesthetic surgery and the forecast results of future surgery sessions within the relative period, perform collective calculation and analysis on the two, and generate the forecast drug consumption required for future surgery sessions within the relative period based on the analysis results; Step 2: Obtain the predicted drug consumption required for future surgical sessions within a relative period, generate predicted drug consumption data values ​​under unified standard specifications, and send the predicted drug consumption data values ​​to the drug management module.

6. The medical cosmetic surgery full process information management system according to claim 5, characterized in that: The medicine management module also includes a medicine backup unit, which is used to store the number of spare medicines and includes the following storage facilities: Step 1: In the corresponding period, according to the predicted drug quantity consumption, the ratio of drug quantity consumption is determined, and the drug quantity under the ratio is generated, which is the quantity of drugs to be stored as spare drugs; Step 2: After the medicine management module completes the purchase and replenishment of the medicine quantity, the stored spare medicines will be automatically designated as the first-use medicines during the medicine management monitoring.

7. The medical cosmetic surgery full process information management system according to claim 1, characterized in that: The specific process of generating procurement and replenishment signals for medical supplies is as follows: Obtain the predicted drug consumption required for future surgical sessions within the relative period, preset as y, and obtain the remaining drug quantity according to the medicine management module, preset as c; If y>c, a purchase and replenishment signal for medical supplies is generated and sent to the remote control terminal.

Images