Personalized management system of medical detector
By constructing personalized monitoring, analysis, and dynamic threshold adjustment modules, the problem of lack of personalized data management in medical testing instrument management systems has been solved, enabling a true reflection and accurate assessment of patients' physical condition and improving the precision and timeliness of health management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-16
- Publication Date
- 2026-04-03
AI Technical Summary
The existing medical testing instrument management system lacks a personalized data management system, which makes it impossible to truly and accurately reflect the patient's actual physical condition.
The system constructs a collaborative operation of a personalized monitoring module, a monitoring data analysis module, a dynamic threshold adjustment module, and an output judgment module. By acquiring, analyzing, and correcting medical test data, personalized basic data, and instrument operating parameters, it calculates an individual health index and outputs a judgment result.
It achieves a true and accurate reflection of the patient's actual physical condition, eliminates assessment bias, improves the accuracy and timeliness of health assessment, and provides personalized health management plans.
Smart Images
Figure CN121789979A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of medical testing technology, specifically to a personalized management system for a medical testing instrument. Background Technology
[0002] Medical testing instruments are medical devices that use electronic, optical, and biosensor technologies to accurately collect and analyze human physiological indicators, body fluid composition, or tissue status. They can transform abstract physiological information such as body temperature, blood pressure, blood sugar, and electrocardiogram signals into quantifiable data, providing objective evidence for disease screening, diagnosis, treatment monitoring, and health management. In terms of application scenarios, they include large, sophisticated equipment used in hospitals such as CT scanners, MRI machines, and biochemical analyzers, as well as portable instruments for home use such as blood glucose meters, blood pressure monitors, and pulse oximeters.
[0003] In recent years, medical testing instruments and STM32 devices have shown a strong growth momentum. With the continuous expansion of the medical testing equipment market, the demand for personalization is becoming increasingly prominent, and continuous technological innovation is key to its growth and development. The application scenarios of STM32 in medical measurement equipment are becoming increasingly common, and technological innovation and continuous application upgrades have improved its application performance. In the future, the continuous evolution of technology and the public's growing demand for health management will give medical testing instruments and STM32 even broader growth potential and application scenarios. Current medical testing equipment is moving towards more intelligent, convenient, functionally integrated, precise, personalized, and intelligent health management methods. These evolving trends are expected to enhance the functionality and practicality of medical testing equipment, thereby bringing patients more detailed, convenient, and customized comprehensive health check-up and treatment services.
[0004] With the continuous development of technologies such as artificial intelligence and machine learning, the intelligence level of medical detectors is also increasing. These instruments have the ability to automatically analyze data, output high-precision diagnostic data, predict potential disease risks, and provide patients with customized treatment plans. However, existing management systems often rely on fixed thresholds to compare diagnostic data to determine a patient's health status, lacking a personalized data management system, which results in an inability to accurately reflect the patient's actual physical condition. Summary of the Invention
[0005] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides a personalized management system for medical testing instruments, which can monitor the patient's real-time condition and construct a truly personalized data management system. This system can accurately reflect the patient's actual physical condition and solves the problem of assessment bias caused by the lack of a personalized perspective in traditional systems.
[0006] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: a personalized management system for a medical testing instrument, which effectively overcomes the shortcomings of traditional management systems that rely on fixed thresholds and diagnostic data for comparison, lack a personalized data management system, and thus fail to accurately reflect the patient's actual physical condition, through the collaborative operation of a personalized monitoring module, a monitoring data analysis module, a dynamic threshold adjustment module, and an output judgment module. Specifically, it includes: A personalized monitoring module is constructed: it is used to acquire medical test datasets, personalized basic datasets, and instrument operating parameter datasets, and to save the medical test datasets, personalized basic datasets, and instrument operating parameter datasets by number; Establish a monitoring data parsing module: used to calculate individual health indices based on medical test datasets and personalized basic datasets. ; Build a dynamic threshold adjustment module: calculate the operation compensation coefficient based on the instrument operation parameter dataset. And adjust individual health indices based on operational compensation coefficients. ; Output determination module: based on modified individual health index Determine an individual's health status and output the determination results as feedback.
[0007] Preferably, the medical testing dataset includes multiple medical testing data monitored by a medical testing instrument, and the multiple medical testing data and their corresponding numbers are specifically: heart rate Blood oxygen level ,blood pressure ,body temperature respiratory rate , vital capacity .
[0008] Preferably, the personalized basic dataset includes basic data of multiple patient individuals obtained through an electronic medical record system, and the basic data of multiple patient individuals and their corresponding numbers are specifically: gender. ,age BMI Resting heart rate baseline Baseline blood pressure Previous major medical history Allergy history Smoking duration .
[0009] Preferably, the instrument operating parameter dataset includes multiple instrument operating parameters acquired through the medical testing instrument operating system, and the multiple instrument operating parameters and their corresponding numbers are specifically: transmission success rate. Packet loss rate Number of connection interruptions Signal strength Transmission delay time .
[0010] Preferably, the individual health index The calculation formula is: ; In the formula, Represents the first in the medical testing dataset Get the value of each parameter. Representing the The clinical ideal values for each parameter, Representing the The upper limit of the normal value range for each parameter. Representing the The lower limit of the normal range for each parameter. Representing the The weights of each parameter, This represents the individual's adjustment coefficient.
[0011] Preferably, the individual adjustment coefficient The calculation formula is: ; In the formula, Represents the first in the personalized basic dataset Get the value of each parameter. Representing the Target reference values for each parameter Representing the The weights of each parameter.
[0012] Preferably, the operating compensation coefficient The calculation formula is: ; In the formula, This represents the maximum allowed number of connection interruptions. Represents the weakest acceptable signal strength. This represents the maximum allowed transmission delay time.
[0013] Preferably, the modified individual health index The calculation formula is: ; In the formula, This represents the correction value of an individual's health index by incorporating the operational compensation coefficient.
[0014] Preferably, when the modified individual health index In such cases, it indicates poor individual health, and the individual health index will be revised. The test results and all parameters in the medical test dataset are compiled into a unified report for output.
[0015] Preferably, the output determination module sends an alarm signal to the guardian and medical staff when it determines that an individual's health condition is poor.
[0016] Compared with the prior art, the present invention provides a personalized management system for medical testing instruments, which has the following beneficial effects: This invention effectively overcomes the shortcomings of traditional management systems, which rely on fixed thresholds and diagnostic data for comparison and lack a personalized data management system, thus failing to accurately reflect the patient's actual physical condition. Specifically, it achieves this by constructing a personalized monitoring module, establishing a monitoring data analysis module, building a dynamic threshold adjustment module, and forming an output judgment module through collaborative operation. First, the personalized monitoring module collects medical test datasets, personalized basic datasets, and instrument operating parameter datasets, and uniformly numbers and associates all data to ensure data integrity and traceability. Second, the monitoring data analysis module calculates individual health indices based on the medical test datasets and personalized basic datasets. This enables the creation of individual health indices based on patients' personalized baseline data. Dynamic adjustments to individual health indices To more accurately reflect the ideal health status of a specific individual, the dynamic threshold adjustment module then calculates the operational compensation coefficient based on the instrument's operating parameter dataset. And adjust individual health indices based on operational compensation coefficients. To correct the previously obtained individual health index This eliminates data errors that may be caused by fluctuations in instrument performance or transmission problems, further ensuring the reliability of the evaluation results. Finally, the output judgment module adjusts the individual health index accordingly. This system determines an individual's health status and outputs the results for feedback, allowing for real-time monitoring of the patient's true condition. It constructs a truly personalized data management system that can accurately reflect the patient's actual physical condition, solving the assessment bias problem caused by the lack of a personalized perspective in traditional systems. Attached Figure Description
[0017] Figure 1 This is a schematic diagram of the system of the present invention. Detailed Implementation
[0018] 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.
[0019] Please see Figure 1 A personalized management system for a medical testing instrument, comprising: A personalized monitoring module is constructed: it is used to acquire medical test datasets, personalized basic datasets, and instrument operating parameter datasets, and to save the medical test datasets, personalized basic datasets, and instrument operating parameter datasets by number; The medical testing dataset includes multiple medical test data collected through medical monitoring instruments, uploaded to the data platform along with the device serial number and collection timestamp. Specifically, the multiple medical test data and their corresponding serial numbers are: heart rate... Blood oxygen level ,blood pressure ,body temperature respiratory rate , vital capacity The personalized baseline dataset includes basic data on multiple individual patients obtained through the electronic medical record system using the patient's unique ID as an index. The specific relationships between these individual patient data and their corresponding identifiers are as follows: gender... ,age BMI Resting heart rate baseline Baseline blood pressure Previous major medical history Allergy history Smoking duration ; The instrument operating parameter dataset includes multiple instrument operating parameters acquired through the medical testing instrument operating system. These multiple instrument operating parameters and their corresponding numbers are as follows: transmission success rate. Packet loss rate Number of connection interruptions Signal strength Transmission delay time ; After the data in the personalized monitoring module is acquired, it is cleaned and stored in a unified format to ensure data consistency and traceability. At the same time, the medical test dataset and the instrument operation parameter dataset are timestamped to ensure data uniqueness and consistency, laying the foundation for subsequent cross-dataset analysis, avoiding data silos, and enabling subsequent algorithms such as health index calculation and compensation coefficient correction to quickly and accurately call the required data, thereby ensuring that the entire system can operate efficiently and stably. Establish a monitoring data parsing module: used to calculate individual health indices based on medical test datasets and personalized basic datasets. The calculation formula is: ; In the formula, Represents the first in the medical testing dataset Get the value of each parameter. Representing the The clinical ideal values for each parameter, Representing the The upper limit of the normal value range for each parameter. Representing the The lower limit of the normal range for each parameter. Representing the The weights of each parameter, Represents the individual's moderating coefficient; 100 represents the theoretical highest score for the health index. Representing the Each parameter is the absolute value of the difference between its value and the ideal value, used to quantify the gap between the current state and the perfect state; Representing the The difference between the upper limit and the lower limit of the normal range of each parameter is used to measure the severity of the deviation. Representing the The proportion of the absolute deviation of the first parameter to its normal range represents the percentage of the first parameter's deviation. The relative health deviation of each parameter; This represents the cumulative value of the deviation of all parameters in the medical test dataset after considering the weights, reflecting the overall deviation of multiple medical test data. This represents the degree of health deviation that takes into account individual differences. Individual health index is calculated based on multiple parameters from medical testing datasets and personalized baseline datasets. This approach breaks through the limitations of single-data-dimensional assessments, making health assessments more targeted and scientific. It achieves deep integration of real-time dynamic physiological data with static data reflecting individual baseline conditions, physical differences, and health background, avoiding the one-sidedness of judging health status solely based on general standards. Simultaneously, it enhances individual health indices. The calculation results can intuitively quantify an individual's current health level, which can not only help users clearly understand their own health status, but also provide medical staff with objective and comprehensive assessment basis, assist in the early detection of potential health risks, and formulate personalized health management plans or treatment suggestions. It can effectively improve the accuracy and effectiveness of health monitoring and intervention, and accurately match the individual's physiological baseline and health tolerance, so that the calculated health index is more in line with the individual's actual situation. Individual adjustment coefficient The calculation formula is: ; In the formula, Represents the first in the personalized basic dataset Get the value of each parameter. Representing the Target reference values for each parameter Representing the The weights of each parameter; Representing the The difference between the obtained value of the first parameter and the target reference value reflects the value of the second parameter. The degree of individual variation in each parameter; It represents the cumulative degree of individual difference across all parameters in the personalized baseline dataset, taking weights into account. Build a dynamic threshold adjustment module: calculate the operation compensation coefficient based on the instrument operation parameter dataset. And adjust individual health indices based on operational compensation coefficients. ; Operating compensation coefficient The calculation formula is: ; In the formula, This represents the maximum allowed number of connection interruptions. Represents the weakest acceptable signal strength. Represents the maximum allowed transmission delay time; This represents the percentage of transmission failures, reflecting the negative impacts on the transmission process. This represents the degree of deviation between the number of connection interruptions and the maximum allowed number of connection interruptions. This represents the difference between the actual signal strength and the weakest acceptable signal strength. This represents the degree to which the actual transmission delay time exceeds the maximum allowable transmission delay time. Adjusted Individual Health Index The calculation formula is: ; In the formula, This represents the correction value of an individual's health index by incorporating operational compensation coefficients; Adjusted Individual Health Index This system quantifies the impact of equipment operating status on test data, achieving greater accuracy and reliability in health assessments. When medical testing instruments experience data deviations due to signal interference, transmission delays, or hardware fluctuations, an operational compensation coefficient is implemented. It can identify the source and extent of data anomalies by dynamically analyzing the real-time operating parameters of the instrument, and make targeted corrections to the original health index, thereby eliminating assessment errors caused by equipment factors, improving the accuracy of health indexes, avoiding misjudgments caused by data distortion, and also providing early warnings of potential equipment failures through real-time monitoring of the instrument's operating status, providing a basis for equipment maintenance, ensuring the continuity and stability of medical testing, and ultimately providing more reliable data support for clinical diagnosis and health management. Output determination module: based on modified individual health index To determine an individual's health status, the individual health index should be adjusted. In such cases, it indicates poor individual health, and the individual health index will be revised. The test results and all parameters in the medical test dataset are generated into a unified report and output, while simultaneously sending alarm signals to guardians and medical staff; The output judgment module realizes the corrected individual health index after personalized data fusion and instrument error correction. It can objectively reflect an individual's true health status and send alert signals to guardians and medical staff based on this, avoiding false alarms and omissions caused by data bias or lack of personalized consideration in traditional early warning systems. This ensures the accuracy and credibility of the alerts. At the same time, the unified report integrates key health data, allowing recipients to quickly grasp an individual's core health indicators and abnormalities without tedious screening. The mechanism of sending alerts simultaneously breaks through time and space limitations, reminding relevant personnel to pay attention to high-risk health conditions in a timely manner, buying time for timely medical intervention, health guidance, or emergency treatment, effectively reducing the probability of health risks worsening. It also provides complete data support for subsequent diagnosis by medical staff, improving the timeliness, pertinence, and effectiveness of health management and medical services.
[0020] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A personalized management system for a medical testing instrument, characterized in that, include: A personalized monitoring module is constructed: it is used to acquire medical test datasets, personalized basic datasets, and instrument operating parameter datasets, and to number and save the medical test datasets, personalized basic datasets, and instrument operating parameter datasets. Establish a monitoring data parsing module: used to calculate individual health indices based on medical test datasets and personalized basic datasets. ; Build a dynamic threshold adjustment module: calculate the operation compensation coefficient based on the instrument operation parameter dataset. And adjust individual health indices based on operational compensation coefficients. ; Output determination module: based on modified individual health index Determine an individual's health status and output the determination results as feedback.
2. The personalized management system for a medical testing instrument according to claim 1, characterized in that: The medical testing dataset includes multiple medical testing data monitored by medical testing instruments. Specifically, these multiple medical testing data are associated with the following numbers: heart rate... Blood oxygen level ,blood pressure ,body temperature respiratory rate , vital capacity .
3. The personalized management system for a medical testing instrument according to claim 1, characterized in that: The personalized basic dataset includes basic data on multiple individual patients obtained through the electronic medical record system. Specifically, the basic data on multiple individual patients are associated with the following identifiers: gender... ,age BMI Resting heart rate baseline Baseline blood pressure Previous major medical history Allergy history Smoking duration .
4. The personalized management system for a medical testing instrument according to claim 1, characterized in that: The instrument operating parameter dataset includes multiple instrument operating parameters acquired through the medical testing instrument operating system. Specifically, these multiple instrument operating parameters and their corresponding numbers are: transmission success rate. Packet loss rate Number of connection interruptions Signal strength Transmission delay time .
5. The personalized management system for a medical testing instrument according to claim 2, characterized in that, The individual health index The calculation formula is: ； In the formula, Represents the first in the medical testing dataset To obtain the value of each parameter, Representing the The clinical ideal values for each parameter, Representing the The upper limit of the normal value range for each parameter. Representing the The lower limit of the normal range for each parameter. Representing the The weights of each parameter, This represents the individual's adjustment coefficient.
6. The personalized management system for a medical testing instrument according to claim 5, characterized in that, The individual adjustment coefficient The calculation formula is: ； In the formula, Represents the first in the personalized basic dataset To obtain the value of each parameter, Representing the Target reference values for each parameter Representing the The weights of each parameter.
7. The personalized management system for a medical testing instrument according to claim 4, characterized in that: The operational compensation coefficient The calculation formula is: ； In the formula, This represents the maximum allowed number of connection interruptions. Represents the weakest acceptable signal strength. This represents the maximum allowed transmission delay time.
8. The personalized management system for a medical testing instrument according to claim 7, characterized in that: The modified individual health index The calculation formula is: ； In the formula, This represents the correction value of an individual's health index by incorporating the operational compensation coefficient.
9. The personalized management system for a medical testing instrument according to claim 8, characterized in that: When the modified individual health index In such cases, it indicates poor individual health, and the individual health index will be revised. The test results and all parameters in the medical test dataset are compiled into a unified report for output.
10. A personalized management system for a medical testing instrument according to claim 9, characterized in that: When the output determination module determines that an individual is in poor health, it sends an alarm signal to the guardian and medical staff.