Intelligent configuration system and configuration method for echocardiography equipment based on medical demand driving

Abstract

The invention discloses an intelligent configuration system and method for echocardiography equipment based on medical demand driving. Comprising a personalized echocardiography equipment configuration module which can automatically recommend an echocardiography equipment configuration scheme according to disease diagnosis requirements and clinical diagnosis and treatment characteristics of a medical institution; the high-frequency probe intelligent adaptation system can be compatible with the high-frequency probe and can automatically identify and optimize the high-frequency probe; equipment maintenance and calibration intelligent reminding is performed by means of a built-in sensor and algorithm monitoring performance, and maintenance and calibration are reminded; the first-aid equipment integrated management system designs a positioning management scheme of the first-aid equipment in the examination area; an echocardiography workflow optimization algorithm is adopted, the patient examination flow is optimized, efficiency is improved, and hospital infection control is guaranteed. According to the system, the use efficiency and the medical quality of the echocardiography equipment can be comprehensively improved.

Description

Technical Field

[0001] The present invention belongs to the field of medical equipment and medical diagnosis technology, and specifically relates to an intelligent configuration system and configuration method of ultrasonic cardiography equipment driven by medical needs. Background Art

[0002] In the field of geriatric medical diagnosis, echocardiography plays a vital role in evaluating the cardiac structure and function of elderly patients. However, the current application of echocardiography in geriatric diseases faces some prominent problems.

[0003] Existing echocardiography examination processes and equipment configurations are mostly based on general standards. However, this approach has obvious shortcomings for the diagnosis and treatment of geriatric diseases. Different medical institutions have their own unique needs for the diagnosis and treatment of geriatric diseases. Specialized hospitals may pay more attention to the diagnosis of a certain type of specific heart disease in the elderly population, while general hospitals have to face a variety of cases in elderly patients. Moreover, the characteristics of the elderly patient population are different from those of other populations, which has not been fully considered. For example, elderly patients may have heart function decline, tissue structure changes, etc., and have special requirements for echocardiography equipment and parameters, which are often difficult to meet with current general configurations.

[0004] For special examination techniques that may be involved in the diagnosis of geriatric diseases, such as acoustic contrast imaging and stress echocardiography, they have additional requirements for equipment, but they are often overlooked in existing configurations. In addition, there is a lack of guidance on the integration of emergency equipment in the equipment configuration. In the work area where comprehensive transthoracic echocardiography is performed on elderly patients, if the patient suddenly has an emergency (the risk of sudden emergency in elderly patients is relatively higher), emergency treatment may not be carried out in a timely and effective manner. In addition, due to the lack of guidance on equipment maintenance, the stability of image quality is affected, which has a greater impact on the accuracy of geriatric disease diagnosis results, because the judgment of the condition of elderly patients is more dependent on accurate examination results. .

[0005] The lack of personalization, lack of safety, and image quality stability of existing echocardiography equipment configurations prompted us to develop an intelligent echocardiography equipment configuration system driven by medical needs to solve these problems. Summary of the invention

[0006] The present invention aims to solve the deficiencies of the prior art in the diagnosis and treatment of geriatric diseases, and to provide an intelligent configuration system and method for echocardiography equipment driven by medical needs. In view of the characteristics of geriatric diseases, the present invention is provided with a personalized echocardiography equipment configuration module, which can realize the precise configuration of the equipment according to the different needs of geriatric hospitals or geriatric departments of general hospitals, as well as the unique physical conditions of elderly patients (such as heart function decline, possible complications affecting heart examinations, etc.). Equipped with a high-frequency probe intelligent adaptation system to ensure the accuracy of the examination. At the same time, the integrated management system of emergency equipment can effectively guarantee the emergency response capability. In addition, the intelligent reminder function of equipment maintenance and calibration can ensure the good operation of the equipment and stabilize the image quality. The present invention significantly improves the efficiency, image quality and safety of echocardiography examinations for geriatric diseases in an all-round way, which is in line with the international trend of medical technology progress and ensuring the safety of elderly patients.

[0007] The present invention provides an intelligent configuration system for an echocardiography device driven by medical needs, comprising:

[0008] Personalized echocardiography equipment configuration module: according to the disease diagnosis needs and clinical diagnosis and treatment techniques of the medical institution, the echocardiography equipment configuration scheme is automatically generated, and the configuration scheme includes the selection of probe type and frequency, the configuration of quantitative analysis software and the integration of digital image storage device; wherein, the probe type covers probes of different frequencies, the quantitative analysis software is software for quantitative analysis of specific parameters of echocardiography images, and the digital image storage device is used to store echocardiography image data.

[0009] High-frequency probe intelligent adaptation system: The system includes a high-frequency probe automatic identification module and a tuning module. The automatic identification module can identify the model and parameters of the high-frequency probe connected to the echocardiography device. The tuning module automatically adjusts the relevant parameters of the echocardiography device based on the identified high-frequency probe information, including but not limited to the transmission power, receiving gain, and time gain compensation curve.

[0010] Equipment maintenance and calibration intelligent reminder system: The system includes a sensor unit and a software algorithm unit. The sensor unit is set at a key position inside or outside the echocardiography device and probe to collect the performance parameters of the device and probe in real time; the software algorithm unit receives the data collected by the sensor unit and compares and analyzes it with the preset performance standard parameters. The performance parameter deviation calculation formula is: ΔP = |P measured -P standard ∣, where P measured is the actual measured performance parameter, P standardIt is a preset standard parameter; Threshold T: When the deviation of the performance parameter exceeds the preset threshold, ifΔP>T, calibration and maintenance reminders are triggered; Reminder information: According to the comparison result of the deviation and the threshold, the corresponding maintenance reminder information is generated.

[0011] Integrated management system for emergency equipment: In the area where comprehensive transthoracic echocardiography is performed, an emergency equipment positioning and management module is provided. The emergency equipment includes an electric defibrillator, a sputum suction device, an ambulance, and an oxygen supply device. The positioning module uses radio frequency identification technology or Bluetooth positioning technology to locate the emergency equipment in real time and store the location information in the system database. The management module performs inventory management and maintenance reminders for the emergency equipment based on the frequency of use and validity period of the emergency equipment. At the same time, in an emergency, the system quickly provides medical staff with the optimal path information for obtaining emergency equipment based on a preset path planning algorithm. The calculation formula is: f(n)=g(n)+h(n), where f(n) is the total cost estimate from the starting point to the current node n, g(n) is the actual cost from the starting point to the current node, and h(n) is the heuristic estimated cost from the current node to the target node: h(n)=w·hypot(n1.x-n2.x,n1.y-n2.y), where w is the weight of the heuristic function.

[0012] Preferably, the personalized echocardiography equipment configuration module further includes: a user interface; the high-frequency probe intelligent adaptation system further includes: a user feedback module; the sensor unit of the equipment maintenance and calibration intelligent reminder system includes: at least one temperature sensor, a pressure sensor and a vibration sensor; the positioning module of the emergency equipment integrated management system further includes: a user interface.

[0013] The present invention also provides an intelligent configuration method of an echocardiography device driven by medical needs, comprising:

[0014] In the echocardiography workflow optimization algorithm, by analyzing the patient appointment registration, waiting arrangement, examination operation, and report generation links in the echocardiography examination process, an algorithm model based on time, resource utilization, and hospital infection control requirements is constructed. The calculation formula is: O = W1×O appointment + W2×O waiting + W3×O examination + W4×O report, among which W1, W2, W3, and W4 are the weight coefficients of the four links of patient appointment registration, waiting arrangement, examination operation, and report generation in the overall optimization index, respectively, and satisfy W1+W2+W3+W4=1. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 This is a schematic diagram of a configuration module of a personalized echocardiography device of the present invention;

[0017] Figure 2 This is a working principle diagram of the high-frequency probe intelligent adaptation system of the present invention;

[0018] Figure 3 This is a flow chart of intelligent reminder for equipment maintenance and calibration of the present invention;

[0019] Figure 4 It is a schematic diagram of the layout of the integrated management system of emergency equipment of the present invention. DETAILED DESCRIPTION

[0020] The technical solution of the present invention will be described clearly and completely in conjunction with the embodiments below. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. 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.

[0021] Example 1

[0022] The embodiment of the present invention provides an intelligent configuration system for an echocardiography device driven by medical needs, which specifically includes:

[0023] The personalized echocardiography equipment configuration module, in the generated configuration plan, selects the high-frequency probe suitable for elderly patients (the frequency is selected according to the heart characteristics and body surface conditions of elderly patients, such as 5-8MHz) as the probe type to meet the imaging needs of elderly patients due to possible changes in heart structure (such as myocardial thickening, valve calcification, etc., resulting in more complex structures) and aging of surface tissues. Equipped with quantitative analysis software specifically for the diagnosis of elderly heart disease, it can accurately measure the size of each heart chamber, valve morphology, and blood flow parameters. The digital image storage device selects a high-security storage system with a storage capacity of 5TB to meet the hospital's needs for long-term storage of echocardiography data of elderly patients, while ensuring the confidentiality and integrity of the data.

[0024] When performing echocardiography on elderly patients, a probe with a suitable frequency is used according to the characteristics of the elderly patients' heart structure (such as possible thickening of the myocardium, possible enlargement of the heart, etc.) and body surface conditions (such as loose skin, etc.). The automatic recognition module of the high-frequency probe intelligent adaptation system quickly identifies the probe model and parameters, including its frequency characteristics, array element arrangement, etc. Parameter adjustment ensures image quality. The tuning module adjusts the transmission power and receiving gain of the echocardiography equipment to parameter values ​​suitable for elderly patients based on the identification information, and fine-tunes the time gain compensation curve. When examining the changing heart structure of elderly patients, the acquired echocardiographic images can clearly display key structures such as myocardial thickness and endocardial border. The error between the image measurement value and the actual value is controlled within a small range (such as within 0.1mm), ensuring high resolution and accuracy, and providing an accurate basis for the diagnosis of elderly heart diseases (such as coronary heart disease, valvular heart disease, etc.).

[0025] For an echocardiography device that has been in use for many years, the sensor unit in the equipment maintenance and calibration intelligent reminder system continues to work. The sensor inside the probe collects the probe vibration characteristic data, such as vibration frequency and amplitude, in real time, every 5 minutes. The sensor outside the device monitors the stability of electrical parameters, including power supply voltage, current, etc., and collects ultrasound transmission and reception performance parameters, such as transmission power and reception sensitivity, every 10 minutes. The software algorithm unit receives this data and compares it with the preset standard. When it is found that the probe vibration frequency is 10Hz lower than the initial value and the ultrasound transmission power is reduced by 12%, it exceeds the set threshold. The system automatically pops up detailed calibration and maintenance reminder information on the equipment operation interface, and sends reminder notifications to the mobile terminal of the equipment maintenance personnel. The maintenance personnel calibrate the probe and adjust the electrical parameters of the equipment according to the prompts to ensure that the quality indicators such as image resolution and contrast remain stable and meet clinical diagnosis requirements.

[0026] In the hospital's echocardiography examination area, the integrated management system for emergency equipment is operating normally. For emergency equipment such as defibrillators, suction pumps, ambulances, and oxygen supply devices, the positioning module uses Bluetooth positioning technology to grasp their locations in real time. For example, the defibrillator is located in the first aid cabinet in the corner of the examination room, and its coordinate information (x, y, z) is stored in the system database. The management module manages the inventory of the equipment according to the frequency of use, and reminds you to replenish it when the inventory is insufficient. At the same time, according to the validity period information, equipment maintenance and replacement are arranged in advance. When a patient suddenly suffers from an emergency such as ventricular fibrillation during the examination, the system quickly calculates the shortest path for medical staff to obtain the defibrillator based on the preset path planning algorithm. Medical staff can reach the first aid cabinet and take out the defibrillator according to the system prompts within 20 seconds, and quickly provide first aid to the patient, ensuring that the first aid equipment can be quickly obtained and used at critical moments, thereby increasing the patient's chance of survival.

[0027] Example 2

[0028] The embodiment of the present invention provides an intelligent configuration method of an echocardiography device driven by medical needs, which specifically includes:

[0029] In a large general hospital with an average of 50 echocardiograms per day, the original examination process had problems such as long patient waiting time, low examination operation efficiency, and slow report generation. The echocardiogram workflow optimization algorithm comprehensively analyzes patient appointment registration, waiting arrangement, examination operation, report generation and other links. The algorithm readjusts the appointment order according to the urgency of the patient's condition and gives priority to patients suspected of acute myocardial infarction. For examination room resources, they are reasonably allocated according to the type of examination, such as arranging stress echocardiogram examinations in examination rooms with corresponding equipment. In the examination operation link, intelligent guidance is used to provide real-time prompts to operators to reduce mistakes and repeated operations caused by unskilled operation. In the report generation link, automated data processing and standardized templates are used to shorten the report generation time from the original average of 30 minutes to 15 minutes, greatly improving the examination efficiency, reducing patient waiting time, and improving the efficiency of hospital resource utilization and hospital infection control.

Claims

1. An intelligent configuration system for echocardiography equipment driven by medical needs, characterized in that: include: Personalized echocardiography equipment configuration module: according to the disease diagnosis needs and clinical diagnosis and treatment techniques of the medical institution, the echocardiography equipment configuration scheme is automatically generated, and the configuration scheme includes the selection of probe type and frequency, the configuration of quantitative analysis software and the integration of digital image storage device; wherein, the probe type covers probes of different frequencies, the quantitative analysis software is software for quantitative analysis of specific parameters of echocardiography images, and the digital image storage device is used to store echocardiography image data. High-frequency probe intelligent adaptation system: The system includes a high-frequency probe automatic identification module and a tuning module. The automatic identification module can identify the model and parameters of the high-frequency probe connected to the echocardiography device. The tuning module automatically adjusts the relevant parameters of the echocardiography device based on the identified high-frequency probe information, including but not limited to the transmission power, receiving gain, and time gain compensation curve. Equipment maintenance and calibration intelligent reminder system: The system includes a sensor unit and a software algorithm unit. The sensor unit is set at a key position inside or outside the echocardiography device and probe to collect the performance parameters of the device and probe in real time; the software algorithm unit receives the data collected by the sensor unit and compares and analyzes it with the preset performance standard parameters. The performance parameter deviation calculation formula is: ΔP = |P measured -P standard ∣, where P measured is the actual measured performance parameter, P standard It is a preset standard parameter; Threshold T: When the deviation of the performance parameter exceeds the preset threshold, ifΔP>T, calibration and maintenance reminders are triggered; Reminder information: According to the comparison result of the deviation and the threshold, the corresponding maintenance reminder information is generated. Integrated management system for emergency equipment: In the area where comprehensive transthoracic echocardiography is performed, an emergency equipment positioning and management module is provided. The emergency equipment includes an electric defibrillator, a sputum suction device, an ambulance, and an oxygen supply device. The positioning module uses radio frequency identification technology or Bluetooth positioning technology to locate the emergency equipment in real time and store the location information in the system database. The management module performs inventory management and maintenance reminders for the emergency equipment based on the frequency of use and validity period of the emergency equipment. At the same time, in an emergency, the system quickly provides medical staff with the optimal path information for obtaining emergency equipment based on a preset path planning algorithm. The calculation formula is: f(n)=g(n)+h(n), where f(n) is the total cost estimate from the starting point to the current node n, g(n) is the actual cost from the starting point to the current node, and h(n) is the heuristic estimated cost from the current node to the target node: h(n)=w·hypot(n1.x-n2.x,n1.y-n2.y), where w is the weight of the heuristic function.

2. According to claim 1, the intelligent configuration system for echocardiography equipment driven by medical needs is characterized by: The personalized echocardiography equipment configuration module further includes: a user interface; the high-frequency probe intelligent adaptation system further includes: a user feedback module; the sensor unit of the equipment maintenance and calibration intelligent reminder system includes: at least one temperature sensor, a pressure sensor and a vibration sensor; the positioning module of the emergency equipment integrated management system further includes: a user interface.

3. A method for intelligent configuration of an echocardiography device driven by medical needs, characterized in that: In the echocardiography workflow optimization algorithm, the patient appointment registration, waiting arrangement, examination operation, and report generation links in the echocardiography examination process are analyzed to build an algorithm model based on time, resource utilization, and hospital infection control requirements. The calculation formula is: O = W1 × O 预约 +W2×O 候诊 +W3×O 检查 +W4×O 报告 , where W1, W2, W3, and W4 are the weight coefficients of the four links of patient appointment registration, waiting arrangement, examination operation, and report generation in the overall optimization index, and satisfy W1+W2+W3+W4=1.

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