Patient model construction method, device and system
By acquiring and processing massive medical data on the cloud data server, combining the construction target and physiological data correction parameters, the patient model is gradually corrected, and the problem of insufficient accuracy, personalization and dynamic update of patient model construction in the existing technology is solved, and high-precision and personalized patient model construction and dynamic update are achieved.
Patent Information
- Application Number
- CN202411977982.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-05-02
AI Technical Summary
The existing patient model construction methods have shortcomings in integrating massive medical data, considering information from multiple dimensions, and dynamic updates, resulting in insufficient accuracy, personalization and real-timeness of the model.
The basic data is obtained through the cloud data server and the basic model is generated, and the corresponding basic data is obtained in combination with the construction target. The construction feature data acquisition and testing module are used for data comparison and testing, and physiological data correction parameters are generated, and the model is gradually corrected to achieve accurate construction and dynamic update of the patient model.
Build a more accurate and personalized patient model that can reflect the latest patient status in real time, provide a reliable foundation for medical research and treatment decisions, and support personalized modeling and dynamic updates.
Smart Images
Figure CN119920390A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of medical care, and in particular to a method, device and system for constructing a patient model. Background Art
[0002] In the medical field, the construction of patient models is extremely important for disease research, treatment, and medical education. Traditional patient models are often based on doctors' experience, textbook descriptions, or limited case data. These models are obviously insufficient in terms of accuracy, personalization, and dynamic updating. With the rapid development of medical technology, especially the application of technologies such as big data, cloud computing, and artificial intelligence, it has become possible to build more accurate, personalized, and real-time updated patient models.
[0003] However, existing patient model construction methods still face many challenges. On the one hand, how to efficiently integrate and utilize massive amounts of medical data and extract valuable information for model construction is an urgent problem to be solved. On the other hand, the construction of patient models needs to consider multiple dimensions, including the patient's basic information (such as age, gender, height), physiological parameters (such as blood pressure, heart rate), pathological characteristics (such as disease type, course of disease), etc. The accuracy and completeness of this information are directly related to the reliability and practicality of the model. In addition, the mutual influence between different diseases and the impact of individual differences of patients on the model need to be considered during the model construction process, which makes model construction more complicated. Summary of the invention
[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method for constructing a patient model, comprising the following steps:
[0005] Step 1: The cloud data server obtains the basic data in the model building task, and obtains the basic model corresponding to the basic data in the cloud data server according to the basic data;
[0006] Step 2: Obtain the construction target in the model construction task, obtain the corresponding construction target basic data in the basic model of the corresponding basic data according to the construction target, the model construction module generates a construction target model construction container, and sends the construction target basic model data to the construction target model construction container;
[0007] Step 3, constructing a characteristic data acquisition and testing module based on the physical data of the constructed target, and comparing it with the standard physical data in the basic model data of the constructed target, obtaining the physical data difference of the constructed target, and testing the target according to the test items corresponding to the constructed target, to obtain the physiological data of the first constructed target;
[0008] Step 4, sending the obtained difference of the construction target physical data to the construction target model construction container, the construction target model construction container corrects the construction target basic model to obtain a first corrected construction target model, and obtains the second construction target physiological data according to the first corrected construction target model;
[0009] Step 5, comparing the physiological data of the first construction target with the physiological data of the second construction target to obtain a construction target physiological data difference, obtaining a physiological data correction parameter according to the construction target physiological data difference, and sending the obtained physiological data correction parameter to the construction target model construction container;
[0010] Step six, construct the target model construction container according to the physiological data correction parameters, correct the physiological parameters in the first corrected target model, complete the model construction of the construction target, and perform patient simulation and testing through the constructed model.
[0011] Furthermore, the cloud data server obtains basic data in the model building task, and obtains a basic model corresponding to the basic data in the cloud data server according to the basic data, including:
[0012] The basic data is the basic information of the patient, including age, gender, and height information. A basic model corresponding to the basic data is obtained in the cloud data server based on the basic information. The basic model includes standard physical data and standard physiological data corresponding to the basic information.
[0013] Furthermore, the acquisition of the construction target in the model construction task, and the acquisition of the corresponding construction target basic data in the basic model of the corresponding basic data according to the construction target, include:
[0014] The construction target is the selected construction part. According to the selected construction part, corresponding basic data are obtained in the basic model, including standard physical data and standard physiological data of the construction part.
[0015] Furthermore, the construction feature data acquisition and testing module obtains the physical data difference of the construction target based on the construction target physical data and compares it with the physical data in the construction target basic model data, including:
[0016] The construction feature data acquisition and testing module obtains the physical data difference of the construction part based on the physical data of the construction part and compares it with the standard physical data in the construction target basic model data.
[0017] Furthermore, the step of testing the target according to the test items corresponding to the constructed target to obtain the physiological data of the first constructed target includes:
[0018] According to the test items corresponding to the construction target, the target is tested, and the corresponding physiological data is collected to obtain the physiological data corresponding to the physical data of the construction part, which is the physiological data of the first construction target.
[0019] Furthermore, the step of constructing the target model according to the first correction to obtain the second constructed target physiological data includes:
[0020] According to the first modified construction target model, standard physiological data corresponding to the physical data of the construction part are obtained, which are the second construction target physiological data.
[0021] Furthermore, the step of comparing the physiological data of the first target with the physiological data of the second target to obtain a target physiological data difference, and obtaining a physiological data correction parameter according to the target physiological data difference includes:
[0022] A physiological data difference of the construction part is obtained according to the physiological data of the first construction target and the physiological data of the second construction target, and a physiological data correction parameter is obtained according to the ratio of the physiological data difference to the physiological data of the second construction target.
[0023] Furthermore, the target model construction container corrects the physiological parameters in the first corrected target model according to the physiological data correction parameters, including:
[0024] The product of the standard physiological data and the physiological data correction parameter and the sum of the standard physiological data are the corrected physiological data. The corrected physiological data replaces the standard physiological data to complete the correction of the first correction construction target model and obtain the construction target model.
[0025] A patient model building device, characterized in that it applies the patient model building method described above, comprises a communication module, a test module, a data acquisition module and a data processing module; the communication module, the test module and the data acquisition module are respectively connected to the data processing module.
[0026] A patient model construction system, characterized in that the patient model construction device described above is applied, including a cloud data server, a target data acquisition module, a target data acquisition and testing module, a data processing center and a communication device;
[0027] The target data acquisition module, the target data acquisition and testing module and the communication device are respectively connected to the data processing center, the cloud data server is communicatively connected to the communication module; and the patient model construction equipment is communicatively connected to the communication device.
[0028] The beneficial effect of the present invention is that the present invention integrates the basic information, physical data and physiological data of the patient, and combines advanced algorithms and technologies to build a more accurate patient model. The model not only reflects the overall condition of the patient, but also pays attention to the details of specific parts or diseases, providing a more reliable basis for medical research and treatment decisions.
[0029] Personalized modeling: Each patient's basic information, physiological characteristics and pathological conditions are unique. The present invention can build a personalized patient model based on the patient's actual conditions to meet the doctor's attention and research needs for individual differences in patients.
[0030] Support dynamic update: As the patient's condition changes and the treatment plan is adjusted, the patient's physiological data and pathological characteristics will also change. The present invention supports dynamic update of the patient model, which can reflect the patient's latest condition in real time and provide timely and accurate information support for doctors. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1 Schematic diagram of the process for building a patient model;
[0032] Figure 2 schematic diagram of the device for one patient model;
[0033] Figure 3 Schematic diagram of the system built for one patient model. DETAILED DESCRIPTION
[0034] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following.
[0035] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.
[0036] like Figure 1 As shown, a method for constructing a patient model comprises the following steps:
[0037] Step 1: The cloud data server obtains the basic data in the model building task, and obtains the basic model corresponding to the basic data in the cloud data server according to the basic data;
[0038] Step 2: Obtain the construction target in the model construction task, obtain the corresponding construction target basic data in the basic model of the corresponding basic data according to the construction target, the model construction module generates a construction target model construction container, and sends the construction target basic model data to the construction target model construction container;
[0039] Step 3, constructing a characteristic data acquisition and testing module based on the physical data of the constructed target, and comparing it with the standard physical data in the basic model data of the constructed target, obtaining the physical data difference of the constructed target, and testing the target according to the test items corresponding to the constructed target, to obtain the physiological data of the first constructed target;
[0040] Step 4, sending the obtained difference of the construction target physical data to the construction target model construction container, the construction target model construction container corrects the construction target basic model to obtain a first corrected construction target model, and obtains the second construction target physiological data according to the first corrected construction target model;
[0041] Step 5, comparing the physiological data of the first construction target with the physiological data of the second construction target to obtain a construction target physiological data difference, obtaining a physiological data correction parameter according to the construction target physiological data difference, and sending the obtained physiological data correction parameter to the construction target model construction container;
[0042] Step six, construct the target model construction container according to the physiological data correction parameters, correct the physiological parameters in the first corrected target model, complete the model construction of the construction target, and perform patient simulation and testing through the constructed model.
[0043] The cloud data server obtains the basic data in the model building task, and obtains the basic model corresponding to the basic data in the cloud data server according to the basic data, including:
[0044] The basic data is the basic information of the patient, including age, gender, and height information. A basic model corresponding to the basic data is obtained in the cloud data server based on the basic information. The basic model includes standard physical data and standard physiological data corresponding to the basic information.
[0045] The step of obtaining the construction target in the model construction task and obtaining the corresponding construction target basic data in the basic model of the corresponding basic data according to the construction target includes:
[0046] The construction target is the selected construction part. According to the selected construction part, corresponding basic data are obtained in the basic model, including standard physical data and standard physiological data of the construction part.
[0047] The construction feature data acquisition and testing module obtains the physical data difference of the construction target based on the construction target physical data and compares it with the physical data in the construction target basic model data, including:
[0048] The construction feature data acquisition and testing module obtains the physical data difference of the construction part based on the physical data of the construction part and compares it with the standard physical data in the construction target basic model data.
[0049] The step of testing the target according to the test items corresponding to the constructed target to obtain the physiological data of the first constructed target includes:
[0050] According to the test items corresponding to the construction target, the target is tested, and the corresponding physiological data is collected to obtain the physiological data corresponding to the physical data of the construction part, which is the physiological data of the first construction target.
[0051] The method of constructing the target model according to the first correction to obtain the second constructed target physiological data includes:
[0052] According to the first modified construction target model, standard physiological data corresponding to the physical data of the construction part are obtained, which are the second construction target physiological data.
[0053] The step of comparing the physiological data of the first target with the physiological data of the second target to obtain a difference in the physiological data of the target, and obtaining a physiological data correction parameter according to the difference in the physiological data of the target, includes:
[0054] A physiological data difference of the construction part is obtained according to the physiological data of the first construction target and the physiological data of the second construction target, and a physiological data correction parameter is obtained according to the ratio of the physiological data difference to the physiological data of the second construction target.
[0055] The target model construction container corrects the physiological parameters in the first corrected target model according to the physiological data correction parameters, including:
[0056] The product of the standard physiological data and the physiological data correction parameter and the sum of the standard physiological data are the corrected physiological data. The corrected physiological data replaces the standard physiological data to complete the correction of the first correction target model and obtain the target model.
[0057] like Figure 2 As shown, a patient model building device, applying the patient model building method, includes a communication module, a test module, a data acquisition module and a data processing module; the communication module, the test module, and the data acquisition module are respectively connected to the data processing module.
[0058] like Figure 3 As shown, a patient model construction system, using the patient model construction device, includes a cloud data server, a target data acquisition module, a target data acquisition and testing module, a data processing center and a communication device;
[0059] The target data acquisition module, the target data acquisition and testing module and the communication device are respectively connected to the data processing center, the cloud data server is communicatively connected to the communication module; and the patient model construction equipment is communicatively connected to the communication device.
[0060] Specifically, the present invention provides a method for constructing a patient model, which realizes accurate construction and dynamic update of the patient model through the collaborative work of multiple components such as a cloud data server, a model construction module, and a feature data collection and testing module. The specific steps are as follows:
[0061] Step 1: Obtaining basic data and basic models
[0062] The cloud data server first obtains the basic data in the model building task. These basic data mainly include the basic information of the patient, such as age, gender, height, etc. Based on this basic information, the cloud data server searches and obtains the corresponding basic model in its own database. The basic model is pre-built and contains standard physical data and standard physiological data corresponding to the basic information. These data provide important references for subsequent model building.
[0063] Step 2: Build a match between the target and the basic data
[0064] Next, the system obtains the construction target in the model construction task, which is usually a specific part or disease that doctors or researchers are concerned about. According to the construction target, the system obtains the corresponding construction target basic data in the basic model, including the standard physical data and standard physiological data of the construction part. These data will serve as the basis for model construction to ensure that the constructed model is consistent with the actual situation.
[0065] Step 3: Feature data collection and testing
[0066] The construction feature data acquisition and testing module is responsible for collecting the actual physical data of the construction target, comparing it with the standard physical data in the construction target basic model data, and calculating the difference in physical data. At the same time, according to the test items of the construction target, the patient is tested accordingly, the corresponding physiological data is collected, and the physiological data of the first construction target is obtained. These data will be used for subsequent model correction and verification.
[0067] Step 4: Preliminary model modification
[0068] The calculated difference of the construction target physical data is sent to the construction target model construction container, and the container makes a preliminary correction to the construction target basic model to obtain a first corrected construction target model. Then, based on the first corrected construction target model, the standard physiological data corresponding to the physical data of the construction part is calculated, that is, the second construction target physiological data.
[0069] Step 5: Physiological data correction
[0070] The physiological data of the first construction target is compared with the physiological data of the second construction target to obtain the construction target physiological data difference. According to the difference, the physiological data correction parameter is calculated and sent to the construction target model construction container. The container further corrects the physiological parameters in the first corrected construction target model according to the physiological data correction parameter to improve the accuracy of the model.
[0071] Step 6: Model construction is completed
[0072] After the above steps are corrected, the target model construction container is constructed to finally complete the construction of the patient model. This model not only contains the patient's basic information and physiological data, but also reflects the actual situation of the patient's specific parts or diseases. Through the constructed model, doctors can simulate and test patients, providing strong support for treatment decisions and medical research.
[0073] Patient model building equipment
[0074] In order to implement the above-mentioned patient model construction method, the present invention also provides a patient model construction device. The device includes a communication module, a test module, a data acquisition module and a data processing module. The communication module is responsible for exchanging data with other devices or systems; the test module is used to perform physiological tests on patients and collect physiological data; the data acquisition module is responsible for collecting basic information and physical data of patients; and the data processing module is responsible for data processing, analysis and model construction. These modules work together to achieve accurate construction and dynamic updating of patient models.
[0075] Patient model building system
[0076] The present invention also provides a patient model construction system, which applies the above-mentioned patient model construction device. The system includes a cloud data server, a target data acquisition module, a target data acquisition and testing module, a data processing center and a communication device. The target data acquisition module is responsible for collecting the patient's basic information and physical data; the target data acquisition and testing module is responsible for collecting the actual physical data and physiological data of the target; the communication device is responsible for data exchange with other devices or systems; and the data processing center is responsible for data processing, analysis and model construction. As the core part of the system, the cloud data server provides powerful data storage and processing capabilities to support the efficient operation of the system.
[0077] Example 1: Construction of a heart disease patient model
[0078] The cardiology department of a hospital needs to build a model of a heart disease patient in order to conduct in-depth research on the pathogenesis and treatment effects of heart disease and provide a basis for the formulation of personalized treatment plans. The hospital decides to use the patient model construction method of the present invention to achieve this goal.
[0079] Acquisition of basic data and basic models: The cloud data server obtains the basic data of heart disease patients from the hospital's information system, including age, gender, height, weight, and medical history. Based on these basic data, the cloud data server searches and obtains the corresponding basic model of heart disease in the database. The basic model contains standard physical data of the heart (such as heart size and ventricular wall thickness) and standard physiological data (such as heart rate and blood pressure) of healthy people and heart disease patients.
[0080] Matching of construction target and basic data: The doctor determines that the construction target is the cardiac function model of patients with heart disease. The system obtains standard physical and physiological data related to cardiac function in the basic model as the basis for model construction.
[0081] Feature data collection and testing: Use the target data collection and testing module to perform ultrasound examinations on patients with heart disease to collect actual physical data of the heart (such as the size of each chamber of the heart, the thickness of the ventricular wall, etc.). At the same time, perform electrocardiograms on patients to collect physiological data such as heart rate and blood pressure as the physiological data of the first target.
[0082] Preliminary model correction: Compare the collected cardiac physical data with the standard physical data in the basic model and calculate the difference in physical data. Construct the target model. The container makes preliminary corrections to the basic model based on these differences to obtain the first corrected target model. According to the first corrected target model, calculate the corresponding standard cardiac physiological data, i.e., the second target physiological data.
[0083] Physiological data correction: Compare the physiological data such as heart rate and blood pressure of the first construction target with the physiological data of the second construction target to obtain the physiological data difference. Calculate the physiological data correction parameters based on the physiological data difference and send them to the construction target model construction container. The container further corrects the physiological parameters in the first corrected construction target model based on the correction parameters to improve the accuracy of the model.
[0084] Model construction completed: After the above steps are corrected, the target model construction container is constructed to finally complete the construction of the heart disease patient model. This model not only contains the patient's basic information and physiological data, but also accurately reflects the actual function and condition of the heart of the heart disease patient. Doctors can use this model to simulate and test heart disease, providing strong support for treatment decisions and medical research.
[0085] Example 2: Construction of diabetic patient model
[0086] A medical institution plans to carry out a research project on diabetes, aiming to gain a deeper understanding of the pathogenesis of diabetes, evaluate the effects of different treatment options, and provide personalized health management advice for diabetic patients. In order to support this project, the institution decides to use the patient model construction method of the present invention to construct a model of a diabetic patient.
[0087] Obtaining basic data and basic models:
[0088] The cloud data server obtains the basic data of diabetic patients from the database of medical institutions, including age, gender, height, weight, family medical history, and previous treatment. Based on these basic data, the cloud data server searches and obtains the corresponding diabetes basic model in the database. The basic model contains standard physiological data such as blood sugar and insulin of healthy people and diabetic patients.
[0089] Matching of construction target and basic data: The researchers determined that the construction target was a blood sugar regulation model for diabetic patients. The system obtained standard physiological data related to blood sugar regulation in the basic model as the basis for model construction.
[0090] Feature data collection and testing: Use the target data collection and testing module to test fasting blood sugar, postprandial blood sugar, and insulin levels of diabetic patients. At the same time, collect the patient's diet records, exercise data, and other data as the physiological data of the first target.
[0091] Initial model correction: Compare the collected blood sugar, insulin and other data with the standard physiological data in the basic model to calculate the difference in physiological data. Construct the target model. The container makes initial corrections to the basic model based on these differences to obtain the first corrected target model. According to the first corrected target model, calculate the corresponding standard physiological data such as blood sugar and insulin, i.e., the second target physiological data.
[0092] Physiological data correction: Compare the physiological data of the first target, such as blood sugar and insulin, with the physiological data of the second target to obtain the difference of physiological data. Calculate the physiological data correction parameters based on the difference of physiological data and send them to the target model building container. The container further corrects the physiological parameters in the first corrected target model based on the correction parameters to improve the accuracy of the model.
[0093] Model construction is completed: After the above steps are corrected, the target model construction container is constructed to finally complete the construction of the diabetic patient model. The model not only contains the patient's basic information and physiological data, but also accurately reflects the actual situation and trend of blood sugar regulation in diabetic patients.
[0094] Researchers can use this model to simulate and test diabetes, evaluate the effectiveness of different treatment options, and provide personalized health management recommendations for diabetic patients.
Claims
1. A method for constructing a patient model, characterized in that: The steps include: Step 1: The cloud data server obtains the basic data in the model building task, and obtains the basic model corresponding to the basic data in the cloud data server according to the basic data; Step 2: Obtain the construction target in the model construction task, obtain the corresponding construction target basic data in the basic model of the corresponding basic data according to the construction target, the model construction module generates a construction target model construction container, and sends the construction target basic model data to the construction target model construction container; Step 3, constructing a characteristic data acquisition and testing module based on the physical data of the constructed target, and comparing it with the standard physical data in the basic model data of the constructed target, obtaining the physical data difference of the constructed target, and testing the target according to the test items corresponding to the constructed target, to obtain the physiological data of the first constructed target; Step 4, sending the obtained difference of the construction target physical data to the construction target model construction container, the construction target model construction container corrects the construction target basic model to obtain a first corrected construction target model, and obtains the second construction target physiological data according to the first corrected construction target model; Step 5, comparing the physiological data of the first construction target with the physiological data of the second construction target to obtain a construction target physiological data difference, obtaining a physiological data correction parameter according to the construction target physiological data difference, and sending the obtained physiological data correction parameter to the construction target model construction container; Step six, construct the target model construction container according to the physiological data correction parameters, correct the physiological parameters in the first corrected target model, complete the model construction of the construction target, and perform patient simulation and testing through the constructed model.
2. A patient model construction method according to claim 1, characterized in that: The cloud data server obtains the basic data in the model building task, and obtains the basic model corresponding to the basic data in the cloud data server according to the basic data, including: The basic data is the basic information of the patient, including age, gender, and height information. A basic model corresponding to the basic data is obtained in the cloud data server based on the basic information. The basic model includes standard physical data and standard physiological data corresponding to the basic information.
3. A patient model construction method according to claim 2, characterized in that: The step of obtaining the construction target in the model construction task and obtaining the corresponding construction target basic data in the basic model of the corresponding basic data according to the construction target includes: The construction target is the selected construction part. According to the selected construction part, corresponding basic data are obtained in the basic model, including standard physical data and standard physiological data of the construction part.
4. A method for constructing a patient model according to claim 3, characterized in that: The construction feature data acquisition and testing module obtains the physical data difference of the construction target based on the construction target physical data and compares it with the physical data in the construction target basic model data, including: The construction feature data acquisition and testing module obtains the physical data difference of the construction part based on the physical data of the construction part and compares it with the standard physical data in the construction target basic model data.
5. A method for constructing a patient model according to claim 3, characterized in that: The step of testing the target according to the test items corresponding to the constructed target to obtain the physiological data of the first constructed target includes: According to the test items corresponding to the construction target, the target is tested, and the corresponding physiological data is collected to obtain the physiological data corresponding to the physical data of the construction part, which is the physiological data of the first construction target.
6. A method for constructing a patient model according to claim 5, characterized in that: The method of constructing the target model according to the first correction to obtain the second constructed target physiological data includes: According to the first modified construction target model, standard physiological data corresponding to the physical data of the construction part are obtained, which are the second construction target physiological data.
7. A method for constructing a patient model according to claim 6, characterized in that: The step of comparing the physiological data of the first target with the physiological data of the second target to obtain a difference in the physiological data of the target, and obtaining a physiological data correction parameter according to the difference in the physiological data of the target, includes: A physiological data difference of the construction part is obtained according to the physiological data of the first construction target and the physiological data of the second construction target, and a physiological data correction parameter is obtained according to the ratio of the physiological data difference to the physiological data of the second construction target.
8. A method for constructing a patient model according to claim 7, characterized in that: The target model construction container corrects the physiological parameters in the first corrected target model according to the physiological data correction parameters, including: The product of the standard physiological data and the physiological data correction parameter and the sum of the standard physiological data are the corrected physiological data. The corrected physiological data replaces the standard physiological data to complete the correction of the first correction target model and obtain the target model.
9. A patient model building device, characterized in that: A patient model construction method according to any one of claims 1 to 8, comprising a communication module, a test module, a data acquisition module and a data processing module; the communication module, the test module and the data acquisition module are respectively connected to the data processing module.
10. A patient model construction system, characterized in that: The patient model building device according to claim 9 includes a cloud data server, a target data acquisition module, a target data acquisition and testing module, a data processing center and a communication device; The target data acquisition module, the target data acquisition and testing module and the communication device are respectively connected to the data processing center, the cloud data server is communicatively connected to the communication module; and the patient model construction equipment is communicatively connected to the communication device.