A scan procedure risk monitoring system for medical scans

Abstract

The application belongs to the technical field of medical scanning, and specifically relates to a scanning process risk monitoring system for medical scanning, which comprises a processor, wherein the processor is in communication connection with a patient posture monitoring feedback module, a scanning equipment monitoring feedback module, a physician monitoring feedback module and a scanning risk assessment and early warning module; the patient posture monitoring feedback module performs posture analysis on the patient scanning posture before scanning; the personnel monitoring feedback module performs equipment analysis on the scanning equipment before scanning; and the physician monitoring feedback module performs physician influence analysis on the physician responsible for the present scanning operation before scanning; the application can accurately reflect the patient posture standard degree, the equipment safe operation risk degree and the physician operation risk degree; the scanning risk assessment and early warning module comprehensively analyzes the posture influence, the equipment influence and the physician influence, accurately reflects the comprehensive risk degree of the subsequent scanning process, and guarantees the safety and smoothness of the subsequent scanning process.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical scanning, and particularly relates to a scanning process risk monitoring system for medical scanning. BACKGROUND

[0002] Medical scanning is mainly realized by a CT scanning device, and CT scanning improves traditional imaging technology to a new level. Unlike merely displaying the outline of bones and organs, CT scanning can construct a complete three-dimensional computer model of the human body to accurately locate a specific area, has the characteristics of fast scanning time and clear image, and is widely applied in clinical practice and can be used for detection of various diseases.

[0003] At present, before medical scanning, a doctor needs to select a suitable scanning posture for a patient according to the lesion site of the patient, and then observes to guide the patient to adjust the scanning posture. The scanning posture cannot be automatically selected and monitored, and the patient cannot be guided to adjust the posture, which affects the detection efficiency and increases the workload of the doctor. Moreover, the scanning process risk cannot be pre-evaluated before medical scanning, which causes safety hazards in the subsequent medical scanning process and affects the scanning result quality.

[0004] In view of the above technical defects, the present application provides a solution. SUMMARY

[0005] The present application aims to provide a scanning process risk monitoring system for medical scanning, which solves the problem that the patient's scanning posture cannot be automatically selected and monitored, the patient cannot be guided to adjust the posture, which affects the detection efficiency and increases the workload of the doctor, and the scanning process risk cannot be pre-evaluated before medical scanning, which causes safety hazards in the subsequent medical scanning process and affects the scanning result quality.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical scheme.

[0007] A scanning process risk monitoring system for medical scanning comprises a processor, and the processor is in communication connection with a patient posture monitoring feedback module, a scanning device monitoring feedback module, a doctor monitoring feedback module and a scanning risk assessment and early warning module.

[0008] The patient posture monitoring feedback module analyzes the posture of the patient's scanning posture before scanning, generates a posture qualified signal and a posture unqualified signal based on the posture analysis result, sends the posture unqualified signal to the voice prompt guidance module when the posture unqualified signal is generated, and sends the posture qualified signal and the posture influence coefficient to the scanning risk assessment and early warning module when the posture qualified signal is generated.

[0009] The scanning device monitoring feedback module performs device analysis on the scanning device before scanning, generates a device qualified signal or a device unqualified signal based on the device analysis result, sends the device unqualified signal to the processor when the device unqualified signal is generated, and sends the device qualified signal and a scanning device influence coefficient to the scanning risk assessment and early warning module when the device qualified signal is generated;

[0010] The physician monitoring feedback module performs physician influence analysis on the physician responsible for the current scanning operation before scanning, generates a physician qualified signal or a physician unqualified signal based on the physician influence analysis result, sends the physician unqualified signal to the processor when the physician unqualified signal is generated, and sends the physician qualified signal and a physician influence coefficient to the scanning risk assessment and early warning module when the physician qualified signal is generated;

[0011] The scanning risk assessment and early warning module generates a scanning normal signal or a scanning early warning signal based on the posture influence coefficient, the scanning device influence coefficient, and the physician influence coefficient after receiving the posture qualified signal, the device qualified signal, and the physician qualified signal, and sends the scanning normal signal or the scanning early warning signal to the processor.

[0012] Further, the processor is communicatively connected to the patient condition information acquisition module. The patient condition information acquisition module acquires the patient's condition information, determines the body part where the patient's lesion is located, obtains the scanning standard posture image corresponding to the patient's lesion part from the database, and obtains the optimal posture information from the scanning standard posture image. The optimal posture information includes the optimal body inclination angle range, the optimal head inclination angle range, the optimal arm opening angle range, and the optimal leg opening angle range when the patient lies on or crouches on the scanning room bed. The optimal posture information is sent to the processor, which sends the optimal posture information to the patient posture monitoring feedback module.

[0013] Further, the specific operation process of the patient posture monitoring feedback module includes:

[0014] The patient posture monitoring feedback module receives the patient posture image sent by the patient posture shooting monitoring module, and obtains the patient's posture actual inspection information from the patient posture image. The posture actual inspection information includes the actual inspection body inclination angle, the actual inspection head inclination angle, the actual inspection arm opening angle, and the actual inspection leg opening angle of the patient.

[0015] The actual inspection body inclination angle, the actual inspection head inclination angle, the actual inspection arm opening angle, and the actual inspection leg opening angle are compared with the optimal body inclination angle range, the optimal head inclination angle range, the optimal arm opening angle range, and the optimal leg opening angle range, respectively. If one of them is not within the corresponding threshold range, a posture unqualified signal is generated and sent to the voice prompt guidance module, which issues a corresponding voice prompt to guide the patient to correct the posture.

[0016] If the posture real test information is all within the corresponding threshold range, a posture qualified signal is generated, and body inclination data, head inclination data, arm opening angle data and leg opening angle data are obtained by analyzing the optimal posture information and the posture real test information, the posture influence coefficient is obtained by numerical analysis on the body inclination data, the head inclination data, the arm opening angle data and the leg opening angle data, and the posture qualified signal and the posture influence coefficient are sent to the scanning risk assessment and early warning module.

[0017] Further, the analysis and acquisition method of the body inclination data is as follows:

[0018] The maximum value and the minimum value of the optimal body inclination angle range are summed and averaged to obtain a body inclination standard value, the real test body inclination angle is subtracted from the body inclination standard value, and the difference between the two is marked as body inclination data;

[0019] The analysis and acquisition method of the head inclination data is as follows:

[0020] The maximum value and the minimum value of the optimal head inclination angle range are summed and averaged to obtain a head inclination standard value, the real test head inclination angle is subtracted from the head inclination standard value, and the difference between the two is marked as head inclination data;

[0021] The analysis and acquisition method of the arm opening angle data is as follows:

[0022] The maximum value and the minimum value of the optimal arm opening angle range are summed and averaged to obtain an arm opening angle standard value, the real test arm opening angle is subtracted from the arm opening angle standard value, and the difference between the two is marked as arm opening angle data;

[0023] The analysis and acquisition method of the leg opening angle data is as follows:

[0024] The maximum value and the minimum value of the optimal leg opening angle range are summed and averaged to obtain a leg opening angle standard value, the real test leg opening angle is subtracted from the leg opening angle standard value, and the difference between the two is marked as leg opening angle data.

[0025] Further, the specific operation process of the scanning device monitoring and feedback module includes:

[0026] The daily work information and the historical information of the scanning device are obtained through the database, the daily work information of the scanning device includes the daily work time, the daily operation times and the daily total radiation dose, the historical information of the scanning device includes the device use time, the device total operation time and the operation failure times in the device use time; the daily fatigue influence value and the life limit influence value of the scanning device are obtained by analysis and calculation;

[0027] The daily fatigue influence threshold and the service life influence threshold of the scanning device are obtained through the database, and the daily fatigue influence value and the service life influence value of the scanning device are compared with the corresponding threshold values, if one of the daily fatigue influence value and the service life influence value is greater than or equal to the corresponding threshold value, a device unqualified signal is generated, and the device unqualified signal is sent to the processor;

[0028] If the daily fatigue influence value and the service life influence value are both less than the corresponding threshold values, a device qualified signal is generated, and the daily fatigue influence value and the service life influence value are calculated to obtain a scanning device influence coefficient, and the device qualified signal and the scanning device influence coefficient are sent to the scanning risk assessment and early warning module.

[0029] Further, the specific operation process of the physician monitoring feedback module includes:

[0030] The professional information and the cycle information of the physician responsible for the current scanning operation are obtained through the database, the professional information of the physician includes the physician's working time, the total on-duty time of the physician on the scanning post and the number of operation errors of the physician in the working time, the cycle information includes the total working time of the physician in the past month, the total night shift time and the total day shift time; the professional influence value and the cycle influence value of the physician responsible for the current scanning operation are obtained through analysis and calculation;

[0031] The professional influence threshold and the cycle influence threshold are obtained through the database, and the professional influence value and the cycle influence value are compared with the corresponding threshold values, if one of the professional influence value and the cycle influence value is greater than or equal to the corresponding threshold value, a physician unqualified signal is generated, and the physician unqualified signal is sent to the processor;

[0032] If the professional influence value and the cycle influence value are both less than the corresponding threshold values, a physician qualified signal is generated, the professional influence value and the cycle influence value are calculated to obtain a physician influence coefficient, and the physician qualified signal and the physician influence coefficient are sent to the scanning risk assessment and early warning module.

[0033] Further, the specific operation process of the scanning risk assessment and early warning module includes:

[0034] After receiving the posture qualified signal, the device qualified signal and the physician qualified signal, the posture influence coefficient, the scanning device influence coefficient and the physician influence coefficient are analyzed to obtain a scanning early warning coefficient; the scanning early warning threshold is obtained through the database, and the scanning early warning coefficient is compared with the scanning early warning threshold, if the scanning early warning coefficient is greater than or equal to the scanning early warning threshold, a scanning early warning signal is generated, and the early warning signal is sent to the processor; if the scanning early warning coefficient is less than the scanning early warning threshold, a scanning normal signal is generated, and the scanning normal signal is sent to the processor.

[0035] Further, the processor is communicatively connected with the early warning display module, and after receiving the equipment unqualified signal, the physician unqualified signal and the scanning early warning signal, the processor edits text information of "equipment unqualified", "physician unqualified" and "scanning risk is high" and sends the corresponding text information to the early warning display module, and the early warning display module displays the corresponding text information.

[0036] Compared with the prior art, the present application has the following advantages:

[0037] 1. In the present application, the patient posture monitoring feedback module performs posture analysis, the scanning equipment monitoring feedback module performs equipment analysis on the scanning equipment, the physician monitoring feedback module performs physician influence analysis on the physician responsible for the scanning operation, which can accurately reflect the patient posture standard degree, the equipment safe operation risk degree and the physician operation risk degree, the scanning risk assessment and early warning module comprehensively analyzes the posture influence, the equipment influence and the physician influence, the analysis of the scanning process risk degree is more accurate and objective, and the comprehensive risk degree of the subsequent scanning process is accurately reflected, and corresponding adjustment is made when the scanning risk is high, thereby further ensuring the safety and smoothness of the subsequent scanning process.

[0038] 2. In the present application, the patient posture monitoring feedback module sends the posture unqualified signal to the voice prompt guidance module when generating the posture unqualified signal, the voice prompt guidance module issues corresponding voice prompts to guide the patient to correct the posture, the physician does not need to observe to guide the patient to adjust the scanning posture, the automatic monitoring of the scanning posture is realized, and the patient is automatically guided to adjust the posture, the posture correction guidance efficiency is improved, and the workload of the physician is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to facilitate the understanding of those skilled in the art, the present application will be further described below with reference to the drawings;

[0040] Fig. 1 is the system block diagram of the present application;

[0041] Fig. 2 is the system block diagram of the scanning risk assessment and early warning module in the present application;

[0042] Fig. 3 is the system block diagram of the patient posture monitoring feedback module in the present application. DETAILED DESCRIPTION

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] Example 1:

[0045] like Figs. 1-3 As shown, the present invention proposes a scanning process risk monitoring system for medical scanning, which includes a processor. The processor is communicatively connected to a patient posture monitoring feedback module, a scanning equipment monitoring feedback module, a physician monitoring feedback module, and a scanning risk assessment and early warning module.

[0046] The patient posture monitoring and feedback module performs posture analysis on the patient's scanning posture before scanning. Based on the posture analysis results, it generates a posture qualified signal and a posture unqualified signal. When generating the posture qualified signal, it sends the posture qualified signal and posture influence coefficient to the scanning risk assessment and early warning module.

[0047] The processor communicates with the patient information acquisition module, which acquires the patient's condition information, determines the location of the lesion on the patient's body, obtains the standard posture image corresponding to the lesion location from the database, and obtains the optimal posture information from the standard posture image. The optimal posture information includes the optimal body tilt angle range, optimal head tilt angle range, optimal arm opening angle range, and optimal leg opening angle range when the patient is lying on the scanning room bed (or prone on the scanning room bed). The optimal posture information is sent to the processor, which then sends the optimal posture information to the patient posture monitoring feedback module.

[0048] The processor communicates with the posture imaging and monitoring module, which is used to capture and monitor the patient's posture in real time. The specific operation process of the patient posture monitoring and feedback module is as follows:

[0049] Step S1: Receive the patient posture image sent by the patient posture imaging and monitoring module, and obtain the patient's posture inspection information through the patient posture image. The posture inspection information includes the patient's inspected body tilt angle, inspected head tilt angle, inspected arm opening angle, and inspected leg opening angle.

[0050] Step S2: Compare the actual body tilt angle with the optimal body tilt angle range, the actual head tilt angle with the optimal head tilt angle range, the actual arm opening angle with the optimal arm opening angle range, and the actual leg opening angle with the optimal leg opening angle range in sequence. If any one of them is not within the corresponding threshold range, generate a posture failure signal.

[0051] If the posture real test information is all within the corresponding threshold range, a posture qualified signal is generated, and body inclination data SQs, head inclination data TQs, arm opening angle data BJ s and leg opening angle data TJs are obtained by analyzing the best posture information and the posture real test information;

[0052] The analysis and acquisition method of the body inclination data SQs is as follows:

[0053] The maximum and minimum values of the optimal body inclination angle range are summed and averaged to obtain a body inclination standard value, the real test body inclination angle and the body inclination standard value are processed by difference, and the absolute value of the difference between the two is marked as the body inclination data SQs; the body inclination data SQs represents the deviation of the real test body inclination angle of the patient from the body inclination standard value, and the larger the value of the body inclination data SQs, the more non-standard the body inclination condition is;

[0054] The analysis and acquisition method of the head inclination data TQs is as follows:

[0055] The maximum and minimum values of the optimal head inclination angle range are summed and averaged to obtain a head inclination standard value, the real test head inclination angle and the head inclination standard value are processed by difference, and the absolute value of the difference between the two is marked as the head inclination data TQs; the head inclination data TQs represents the deviation of the real test body inclination angle of the patient from the head inclination standard value, and the larger the value of the head inclination data TQs, the more non-standard the head inclination condition is;

[0056] The analysis and acquisition method of the arm opening angle data BJ s is as follows:

[0057] The maximum and minimum values of the optimal arm opening angle range are summed and averaged to obtain an arm opening angle standard value, the real test arm opening angle and the arm opening angle standard value are processed by difference, and the absolute value of the difference between the two is marked as the arm opening angle data BJ s; the arm opening angle data BJ s represents the deviation of the real test arm opening angle of the patient from the arm opening angle standard value, and the larger the value of the arm opening angle data BJ s, the more non-standard the arm opening angle is;

[0058] The analysis and acquisition method of the leg opening angle data TJs is as follows:

[0059] The maximum and minimum values of the optimal leg opening angle range are summed and averaged to obtain a leg opening angle standard value, the real test leg opening angle and the leg opening angle standard value are processed by difference, and the absolute value of the difference between the two is marked as the leg opening angle data TJs; the leg opening angle data TJs represents the deviation of the real test leg opening angle of the patient from the leg opening angle standard value, and the larger the value of the leg opening angle data TJs, the more non-standard the arm opening angle is;

[0060] In step S3, the formula Numerical analysis was performed on the body tilt data SQs, head tilt data TQs, arm angle data BJs, and leg angle data TJs. After numerical analysis, the posture influence coefficient ZYX was obtained. The posture qualification signal and the posture influence coefficient ZYX were sent to the scanning risk assessment and early warning module. Among them, a1, a2, a3, and a4 are preset proportional coefficients, and a4 < a3 < a2 < a1. The values ​​of a1, a2, a3, and a4 are greater than zero, and a1 + a2 + a3 + a4 = 4.526.

[0061] It should be noted that the larger the values ​​of body tilt data SQs, head tilt data TQs, arm angle data BJs, and leg angle data TJs, the larger the value of the posture influence coefficient ZYX. This indicates that the patient's current posture deviates more from the corresponding standard scanning posture, which is more detrimental to subsequent scanning and detection.

[0062] The scanning equipment monitoring and feedback module performs equipment analysis on the scanning equipment before scanning, and generates a qualified or unqualified signal based on the analysis results. When an unqualified signal is generated, it is sent to the processor. When a qualified signal is generated, it is sent to the scanning risk assessment and early warning module along with the scanning equipment's impact coefficient. The specific operation process of the scanning equipment monitoring and feedback module includes:

[0063] Step T1: Obtain the daily working information and historical information of the scanning equipment from the database. The daily working information of the scanning equipment includes the daily working duration RGS, the daily number of runs RYC, and the daily total radiation dose RFL. The historical information of the scanning equipment includes the equipment's usage time TYS, the equipment's total operating time SYS, and the number of operating failures that occurred during the equipment's usage time SYG.

[0064] Step T2, using the formula Numerical calculations were performed on the daily working hours (RGS), daily number of runs (RYC), and daily total radiation dose (RFL). The daily fatigue impact value (RPYz) was obtained through calculation and analysis.

[0065] Through formula Numerical calculations were performed on the equipment commissioning time TYS, total equipment operating time SYS, and number of operating failures SYG. The lifespan impact value SXYz was obtained through analysis and calculation.

[0066] Wherein, b1, b2, b3, b4, b5, b6 are preset proportion coefficients and the values of b1, b2, b3, b4, b5, b6 are all greater than zero, b1>b2>b3 and b1+b2+b3=2.865, b4<b5<b6 and b4+b5+b6=3.628; it should be noted that the daily fatigue influence value RPYz represents the running fatigue condition of the scanning device on the day, and the service life influence value SXYz represents the running loss condition of the scanning device;

[0067] Step T3, the daily fatigue influence threshold and the service life influence threshold of the scanning device are obtained through the database, the daily fatigue influence value RPYz and the service life influence value SXYz of the scanning device are compared with the corresponding threshold values, if one of the daily fatigue influence value RPYz and the service life influence value SXYz is greater than or equal to the corresponding threshold value, a device unqualified signal is generated, and the device unqualified signal is sent to the processor;

[0068] If the daily fatigue influence value and the service life influence value are both less than the corresponding threshold values, a device qualified signal is generated, and the scanning device influence coefficient SYX is obtained by the formula The daily fatigue influence value RPYz and the service life influence value SXYz are numerically calculated to obtain the scanning device influence coefficient SYX, and the device qualified signal and the scanning device influence coefficient SYX are sent to the scanning risk assessment and early warning module;

[0069] Wherein, c1, c2 are preset proportion coefficients, c1>c2>0 and c1+c2=2.261; it should be noted that the greater the value of the daily fatigue influence value RPYz and the service life influence value SXYz, the greater the value of the scanning device influence coefficient SYX, indicating that the scanning device has a greater risk when performing the next scanning operation.

[0070] The physician monitoring feedback module performs physician influence analysis on the physician responsible for the scanning operation before scanning, generates a physician qualified signal or a physician unqualified signal based on the physician influence analysis result, sends the physician unqualified signal to the processor when the physician unqualified signal is generated, and sends the physician qualified signal and the physician influence coefficient to the scanning risk assessment and early warning module when the physician qualified signal is generated. The specific operation process of the physician monitoring feedback module is as follows:

[0071] Step U1, the professional information and the cycle information of the physician responsible for the scanning operation are obtained through the database, the professional information of the physician includes the physician's working time RHs, the total on-duty time ZGs of the physician on the scanning post, and the number of operation errors SWc of the physician within the working time, the cycle information includes the total working time ZZs of the physician in the past month, the total night shift time YZs and the total day shift time BZs;

[0072] Step U2, the formula The professional information is analyzed and calculated to obtain a professional influence value YYz of the physician responsible for the scanning operation, through the formula The cycle information is analyzed and calculated to obtain a cycle influence value ZYz of the physician responsible for the scanning operation.

[0073] Wherein, d1, d2, d3, d4, d5 are preset proportion coefficients, d1>d2>d3>0 and d1+d2+d3=4.321, 0

[0074] Step U3, the professional influence threshold and the cycle influence threshold are obtained through the database, the professional influence value YYz and the cycle influence value ZYz are compared with the corresponding threshold value, if one of the professional influence value YYz and the cycle influence value ZYz is greater than or equal to the corresponding threshold value, a physician unqualified signal is generated, and the physician unqualified signal is sent to the processor;

[0075] If the professional influence value YYz and the cycle influence value ZYz are less than the corresponding threshold value, a physician qualified signal is generated, through the formula The professional influence value YYz and the cycle influence value ZYz are calculated to obtain a physician influence coefficient YYX, and the physician qualified signal and the physician influence coefficient YYX are sent to the scanning risk assessment and early warning module.

[0076] Wherein, e1, e2 are preset proportion coefficients, the values of e1 and e2 are greater than zero, e1>e2 and e1+e2=2.815; it should be noted that the greater the value of the professional influence value YYz and the greater the value of the cycle influence value ZYz, the greater the value of the physician influence coefficient YYX, indicating that the current physician responsible for the scanning operation has greater risk.

[0077] The processor is in communication connection with the early warning display module, after receiving the equipment unqualified signal and the physician unqualified signal, the processor edits the text information of "equipment unqualified" and "physician unqualified" and sends the corresponding text information to the early warning display module, and the early warning display module displays the corresponding text information; can accurately reflect the standard degree of patient posture, the risk degree of safe operation of equipment and the risk degree of operation of physician, which helps the physician to intuitively understand the risk situation of the subsequent scanning process, and plays a guarantee role for the safety and stability of the subsequent scanning process;

[0078] When a physician receives a "device not qualified" text message, they can temporarily stop the subsequent scanning operation or switch the patient to another scanning device. When a physician receives a "physician not qualified" text message, they can choose to replace the physician with another physician to continue the scanning operation.

[0079] The patient posture monitoring feedback module, the scanning equipment monitoring feedback module, and the physician monitoring feedback module send posture qualified signals, equipment qualified signals, and physician qualified signals to the processor. The processor edits the text information of "posture qualified", "equipment qualified" and "physician qualified" and sends it to the early warning display module, which displays the corresponding text information.

[0080] Example 2:

[0081] like Fig. 3 As shown, the difference between this embodiment and Embodiment 1 is that the patient posture monitoring feedback module is communicatively connected to the voice prompt guidance module, which is located in the scanning room. When the patient posture monitoring feedback module generates a posture non-compliance signal, it sends the signal to the voice prompt guidance module. Upon receiving the signal, the voice prompt guidance module generates corresponding voice prompts and issues corresponding voice prompts to guide the patient in posture correction. This eliminates the need for physicians to observe and guide patients in adjusting their scanning posture. While achieving automatic monitoring of scanning posture, it can also automatically guide patients in posture adjustment, which helps improve the efficiency of posture correction guidance and reduces the workload of physicians.

[0082] Example 3:

[0083] like Fig. 2 As shown, the difference between this embodiment and Embodiments 1 and 2 is that the scan risk assessment and early warning module is communicatively connected to the patient posture monitoring feedback module, the scanning equipment monitoring feedback module, and the physician monitoring feedback module. After receiving the posture qualified signal, the equipment qualified signal, and the physician qualified signal, the scan risk assessment and early warning module generates a scan normal signal or a scan early warning signal based on the posture influence coefficient, the scanning equipment influence coefficient, and the physician influence coefficient, and sends the scan normal signal or scan early warning signal to the processor. The specific operation process of the scan risk assessment and early warning module is as follows:

[0084] After receiving the posture qualified signal, equipment qualified signal, and physician qualified signal, the posture influence coefficient ZYX, scanning equipment influence coefficient SYX, and physician influence coefficient YYX are numerically analyzed using the risk warning analysis formula SYJX=ω×(k1×ZYX+k2×SYX+k3×YYX). The scanning warning coefficient SYJX is obtained after the numerical analysis.

[0085] Wherein, k1, K2, k3 are preset proportion coefficients, ω is a preset error correction factor and the value of ω is 1.112, k1> K2> k3> 0 and k1+k2+k3=2.362; It should be noted that the scanning early warning coefficient SYJX reflects the overall risk degree of the subsequent scanning process, the greater the value of the posture influence coefficient ZYX, the greater the value of the scanning device influence coefficient SYX, the greater the value of the physician influence coefficient YYX, the greater the value of the scanning early warning coefficient SYJX, indicating that the greater the risk of the scanning process;

[0086] The scanning early warning threshold is obtained through the database, and the scanning early warning coefficient SYJX is compared with the scanning early warning threshold in value, if the scanning early warning coefficient SYJX is greater than or equal to the scanning early warning threshold, a scanning early warning signal is generated, and the early warning signal is sent to the processor; if the scanning early warning coefficient SYJX is less than the scanning early warning threshold, a scanning normal signal is generated, and the scanning normal signal is sent to the processor.

[0087] The processor is communicatively connected with the early warning display module, and after receiving the scanning early warning signal, the processor edits the text information of "scanning risk is large" and sends the corresponding text information to the early warning display module, and after receiving the scanning normal signal, the processor edits the text information of "scanning preparation is normal" and sends it to the early warning display module, and the early warning display module displays the corresponding text information, which is convenient for the physician to intuitively understand the risk degree of the subsequent scanning operation, and to make corresponding adjustments when the scanning risk is large, which helps to ensure the safety and smoothness of the subsequent scanning process.

[0088] The working principle of the present application is: when in use, the patient posture monitoring feedback module analyzes the patient's scanning posture before scanning and generates a posture qualified signal or a posture unqualified signal, the scanning device monitoring feedback module analyzes the scanning device before scanning and generates a device qualified signal or a device unqualified signal, and the physician monitoring feedback module analyzes the physician responsible for the scanning operation before scanning and generates a physician qualified signal or a physician unqualified signal, which can accurately reflect the patient posture standard degree, device safe operation risk degree and physician operation risk degree, and help the physician to intuitively understand the risk status of the subsequent scanning process and make corresponding adjustment measures, which plays a protective role in the safety and stability of the subsequent scanning process;

[0089] When the patient posture monitoring feedback module generates a posture unqualified signal, the posture unqualified signal is sent to the voice prompt guidance module, and the voice prompt guidance module issues corresponding voice prompts to guide the patient to correct the posture, so that the physician does not need to observe to guide the patient to adjust the scanning posture, which can automatically guide the patient to adjust the posture while realizing automatic monitoring of the scanning posture, improve the efficiency of posture correction guidance, and reduce the workload of the physician.

[0090] And the scanning risk assessment early warning module generates a scanning normal signal or a scanning early warning signal based on the posture influence coefficient, the scanning device influence coefficient and the physician influence coefficient, and through analysis, the analysis of the scanning process risk degree is more accurate and objective through the comprehensive analysis of the posture influence, the device influence and the physician influence, accurately reflects the comprehensive risk degree of the subsequent scanning process, and makes corresponding adjustments when the scanning risk is large, further guarantees the safety and smoothness of the subsequent scanning process.

[0091] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and the formulas are dimensionless to calculate the numerical value, and the coefficients in the formula are set by the person skilled in the art according to the actual situation, and the size of the coefficient only needs to not affect the proportional relationship between the parameter and the quantized value, such as the posture influence coefficient ZYX and the body inclination data SQs, which are directly proportional to the numerical value.

[0092] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details and limit the application to the specific embodiments. Obviously, according to the content of the specification, many modifications and changes can be made. The specification selects and describes these embodiments in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and use the application. The application is limited by the claims and their entire scope and equivalents.

Claims

1. A scan procedure risk monitoring system for medical scans, characterized by, The processor is in communication connection with a patient posture monitoring feedback module, a scanning device monitoring feedback module, a physician monitoring feedback module, and a scanning risk assessment and early warning module; The patient posture monitoring feedback module analyzes the patient's posture before scanning, generates a posture qualified signal or a posture unqualified signal based on the analysis result, sends the posture unqualified signal to the voice prompt guidance module when the posture unqualified signal is generated, and sends the posture qualified signal and a posture influence coefficient to the scanning risk assessment and early warning module when the posture qualified signal is generated; The scanning device monitoring feedback module analyzes the scanning device before scanning, generates a device qualified signal or a device unqualified signal based on the analysis result, sends the device unqualified signal to the processor when the device unqualified signal is generated, and sends the device qualified signal and a scanning device influence coefficient to the scanning risk assessment and early warning module when the device qualified signal is generated; The physician monitoring feedback module analyzes the physician responsible for the current scanning operation before scanning, generates a physician qualified signal or a physician unqualified signal based on the analysis result, sends the physician unqualified signal to the processor when the physician unqualified signal is generated, and sends the physician qualified signal and a physician influence coefficient to the scanning risk assessment and early warning module when the physician qualified signal is generated; The scanning risk assessment and early warning module generates a scanning normal signal or a scanning early warning signal based on the posture influence coefficient, the scanning device influence coefficient, and the physician influence coefficient after receiving the posture qualified signal, the device qualified signal, and the physician qualified signal, and sends the scanning normal signal or the scanning early warning signal to the processor; The processor is in communication connection with a patient condition information acquisition module, which acquires the patient's condition information, determines the body part where the patient's lesion is located, obtains a scanning standard posture image corresponding to the patient's lesion part from a database, obtains optimal posture information from the scanning standard posture image, and sends the optimal posture information to the processor, which sends the optimal posture information to the patient posture monitoring feedback module; The specific operation process of the scanning device monitoring feedback module includes: The daily work information and the historical information of the scanning device are obtained from a database, the daily work information of the scanning device includes the daily work duration, the daily operation frequency, and the daily total radiation dose, and the historical information of the scanning device includes the device use duration, the total device operation duration, and the number of operation failures occurring within the device use duration; the daily fatigue influence value and the service life influence value of the scanning device are obtained through analysis and calculation; The daily fatigue influence threshold and the service life influence threshold of the scanning device are obtained from the database, the daily fatigue influence value and the service life influence value of the scanning device are compared with the corresponding thresholds, and if one of the daily fatigue influence value and the service life influence value is greater than or equal to the corresponding threshold, a device unqualified signal is generated and sent to the processor; If the daily fatigue influence value and the service life influence value are both less than the corresponding threshold values, a device qualification signal is generated, and the daily fatigue influence value and the service life influence value are numerically calculated to obtain a scanning device influence coefficient, and the device qualification signal and the scanning device influence coefficient are sent to the scanning risk assessment and early warning module; The specific operation process of the physician monitoring feedback module includes: The professional information and the cycle information of the physician responsible for the current scanning operation are obtained from the database, the professional information of the physician includes the physician's working time, the total on-duty time of the physician at the scanning post, and the number of operation errors of the physician within the working time, the cycle information includes the total working time of the physician in the past month, the total night shift time and the total day shift time; The professional influence value and the cycle influence value of the physician responsible for the current scanning operation are obtained by analysis and calculation; The professional influence threshold value and the cycle influence threshold value are obtained from the database, and the professional influence value and the cycle influence value are compared with the corresponding threshold values, if one of the professional influence value and the cycle influence value is greater than or equal to the corresponding threshold value, a physician unqualified signal is generated, and the physician unqualified signal is sent to the processor; If the professional influence value and the cycle influence value are both less than the corresponding threshold values, a physician qualification signal is generated, and the professional influence value and the cycle influence value are numerically calculated to obtain a physician influence coefficient, and the physician qualification signal and the physician influence coefficient are sent to the scanning risk assessment and early warning module.

2. The scan procedure risk monitoring system for medical scans of claim 1, wherein, The specific operation process of the patient posture monitoring feedback module includes: The patient posture monitoring feedback module receives the patient posture image sent by the patient posture shooting monitoring module, and obtains the patient's posture real inspection information from the patient posture image, the posture real inspection information includes the real inspection body tilt angle, the real inspection head tilt angle, the real inspection arm opening angle and the real inspection leg opening angle of the patient; The real inspection body tilt angle, the real inspection head tilt angle, the real inspection arm opening angle and the real inspection leg opening angle are compared with the corresponding threshold value range, if one of them is not within the corresponding threshold value range, a posture unqualified signal is generated and sent to the voice prompt guidance module, and the voice prompt guidance module issues a corresponding voice prompt to guide the patient to correct the posture; If the posture real inspection information is within the corresponding threshold value range, a posture qualified signal is generated, and the body tilt data, the head tilt data, the arm opening angle data and the leg opening angle data are obtained by analyzing the best posture information and the posture real inspection information, and the body tilt data, the head tilt data, the arm opening angle data and the leg opening angle data are numerically analyzed to obtain a posture influence coefficient, and the posture qualified signal and the posture influence coefficient are sent to the scanning risk assessment and early warning module.

3. The scan procedure risk monitoring system for medical scans of claim 2, wherein, The analysis and acquisition method of the body tilt data is as follows: The maximum value and the minimum value of the optimal body tilt angle range are summed to obtain the body tilt standard value, and the real inspection body tilt angle is subtracted from the body tilt standard value, and the difference between the two is marked as the body tilt data; The analysis and acquisition method of the head tilt data is as follows: The maximum and minimum values of the optimal head tilt angle range are summed and averaged to obtain a head tilt standard value, the real test head tilt angle is subtracted from the head tilt standard value, and the difference between the two is marked as head tilt data; The arm opening angle data analysis acquisition method is as follows: The maximum and minimum values of the optimal arm opening angle range are summed and averaged to obtain an arm opening angle standard value, the real test arm opening angle is subtracted from the arm opening angle standard value, and the difference between the two is marked as arm opening angle data; The leg opening angle data analysis acquisition method is as follows: The maximum and minimum values of the optimal leg opening angle range are summed and averaged to obtain a leg opening angle standard value, the real test leg opening angle is subtracted from the leg opening angle standard value, and the difference between the two is marked as leg opening angle data.

4. The scan procedure risk monitoring system for medical scans of claim 1, wherein, The specific operation process of the scanning risk assessment and early warning module includes: After receiving the posture qualified signal, the device qualified signal and the physician qualified signal, the posture influence coefficient, the scanning device influence coefficient and the physician influence coefficient are analyzed to obtain a scanning early warning coefficient; the scanning early warning threshold is obtained through the database, the scanning early warning coefficient is compared with the scanning early warning threshold, if the scanning early warning coefficient is greater than or equal to the scanning early warning threshold, a scanning early warning signal is generated, and the early warning signal is sent to the processor; if the scanning early warning coefficient is less than the scanning early warning threshold, a scanning normal signal is generated, and the scanning normal signal is sent to the processor.

5. The scan procedure risk monitoring system for medical scans of claim 4, wherein, The processor is in communication connection with the early warning display module, and after receiving the device unqualified signal, the physician unqualified signal and the scanning early warning signal, the processor edits the text information of "device unqualified", "physician unqualified" and "scanning risk is large" and sends the corresponding text information to the early warning display module, and the early warning display module displays the corresponding text information.

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