Individualized evaluation system based on patient health status

Abstract

An individualized evaluation system based on patient health status. The individualized evaluation system comprises a data collection module, a data processing and cleaning module, a health condition evaluation module, a report generation module, a decision recommendation module, a privacy security protection module and a user interaction feedback module. By providing a data collection module and a data processing and cleaning module, the system collects various types of data of patients and converts the collected data into a unified format, identifies and corrects errors or unreasonable data values, and uses a statistical method or other techniques to supplement missing data points, thereby ensuring the integrity of data and guaranteeing the accuracy of an evaluation result, such that the health conditions of the patients can be better evaluated, and corresponding recovery plans are formulated according to different conditions, which is more beneficial for the rehabilitation of patients.

Description

An individualized assessment system based on patient health Technical Field

[0001] The present invention relates to the field of medical health technology, and in particular to an individualized assessment system based on patient health. Background Art

[0002] With the rapid development of the social economy, the significant improvement in people's material living standards, and the sharp increase in the elderly population, people's lifestyles and eating habits are in a sub-healthy state, leading to the gradual emergence of various chronic diseases, among which cardiovascular disease is the most serious. Most cardiovascular diseases are caused by obesity, unhealthy lifestyles, etc., especially obesity and irregular lifestyles, which are becoming more and more common in younger people and are increasing rapidly. Because cardiovascular diseases are long-term, recurring, and sudden, the most effective treatment is prevention and daily monitoring of the population. Therefore, a personalized assessment system for patients' health status is crucial.

[0003] However, the existing individualized assessment system still has the following technical problems when used:

[0004] The data collection process is affected by many factors, such as sensor accuracy and patient cooperation, which may lead to errors, missing or incomplete data, affecting the accuracy of the evaluation results; patients' health data comes from multiple different systems and devices, such as the hospital's electronic medical record system, data from physical examination institutions, data collected by wearable devices, etc. The formats, standards and coding methods of these data are different, making them difficult to integrate and prone to data inconsistencies or conflicts.

[0005] To this end, an individualized assessment system based on patient health is proposed to solve the above problems. Summary of the Invention

[0006] The purpose of the present invention is to provide an individualized assessment system based on the patient's health status to solve the problems raised in the above background technology.

[0007] To achieve the above objectives, the present invention provides the following technical solutions: a personalized assessment system based on patient health, comprising a data acquisition module, a data processing and cleaning module, a health status assessment module, a report generation module, a decision recommendation module, a privacy and security protection module, and a user interaction feedback module;

[0008] The data acquisition module is used to obtain the patient's medical history and test report information from the hospital information system, and collect physiological parameters such as heart rate, blood pressure, and blood oxygen saturation in real time through daily monitoring equipment; through mobile phone applications or online questionnaires, patients can enter information about their living habits and symptom descriptions;

[0009] The data processing and cleaning module converts data from different sources into a unified format, identifies and corrects erroneous or unreasonable data values, and uses statistical methods or other techniques to supplement missing data points;

[0010] The health assessment module uses machine learning algorithms to predict the probability of occurrence or worsening of specific diseases, and comprehensively considers biomarkers, lifestyle factors, genetic background and other dimensions to quantify the patient's overall health status. It establishes personalized health standards based on individual characteristics rather than a one-size-fits-all standard.

[0011] The report generation module provides doctors and patients with an intuitive health indicator display interface, showing the trend of various health indicators over time, and automatically generates detailed reports including diagnosis results and treatment recommendations;

[0012] The decision-making recommendation module proposes the best treatment strategy based on the latest medical research results and personal health records, and provides specific improvement measures for diet and exercise;

[0013] The privacy and security protection module ensures that all sensitive information is strictly encrypted during transmission and storage, so that only authorized personnel can view or modify patient data. For data used for research purposes, personal information identifiers are removed without affecting the analysis results.

[0014] The user interaction feedback module is used for communication between doctors and patients, facilitating timely adjustment of health management plans, collecting user experience feedback, and continuously improving service quality.

[0015] Preferably, the data acquisition module includes an electronic health record integration unit, a wearable device Internet of Things sensor unit, a mobile application questionnaire unit, a biological sample analysis unit, an environmental monitoring unit, and a manual entry and manual review unit.

[0016] Preferably, the data processing and cleaning module includes a data receiving and checking unit, a data standardization and unification unit, a missing value processing unit, an outlier detection and processing unit, a duplicate record identification and merging unit, a data denoising and smoothing processing unit, and a data consistency checking unit.

[0017] Preferably, the health condition assessment module includes a disease warning unit, a multidimensional health scoring unit, a biomarker analysis unit, a symptom-sign correlation analysis unit, a drug efficacy and side effect monitoring unit, a treatment recommendation unit, a quality of life assessment unit and a monitoring feedback unit.

[0018] Preferably, the report generation module includes a data integration processing unit, a template management unit, a visualization icon generation unit, a text content generation unit, a personalized recommendation unit, an interactive report unit and a report distribution and sharing unit.

[0019] Preferably, the decision recommendation module includes a patient profile analysis unit, a risk prediction unit, a personalized treatment plan generation unit, a medication management unit, a lifestyle recommendation unit, a follow-up monitoring plan unit and a patient communication assistance unit.

[0020] Preferably, the privacy and security protection module includes an identity authentication access control unit, a data encryption unit, a de-identification unit, an audit log monitoring unit and a compliance management unit.

[0021] Preferably, the user interaction feedback module includes a health advice push unit, a questionnaire unit and a doctor-patient communication platform unit.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] This system collects various patient data and converts the collected data into a unified format by setting up a data acquisition module and a data processing and cleaning module, identifies and corrects erroneous or unreasonable data values, and uses statistical methods or other technologies to supplement missing data points to ensure data integrity and the accuracy of evaluation results. This allows for a better assessment of the patient's health condition and specifies corresponding recovery plans based on different situations, which is more conducive to the patient's recovery. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] FIG1 is a diagram showing the module composition of the present invention;

[0025] Figure 2 is a diagram showing the unit composition of the data acquisition module;

[0026] FIG3 is a unit composition diagram of a data processing and cleaning module;

[0027] FIG4 is a diagram showing the unit composition of the health status assessment module;

[0028] FIG5 is a diagram showing the unit composition of the report generation module;

[0029] FIG6 is a unit composition diagram of the decision recommendation module;

[0030] FIG7 is a diagram showing the unit composition of the privacy and security protection module;

[0031] FIG8 is a diagram showing the unit composition of the user interaction feedback module. DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0033] In the description of the present invention, it should be understood that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore should not be understood as limiting the present invention.

[0034] Example:

[0035] Please refer to Figures 1-8. The present invention provides a technical solution:

[0036] An individualized assessment system based on patient health status, including a data acquisition module, a data processing and cleaning module, a health status assessment module, a report generation module, a decision recommendation module, a privacy and security protection module, and a user interaction feedback module;

[0037] The data acquisition module is used to obtain the patient's medical history and test report information from the hospital information system, and collect physiological parameters such as heart rate, blood pressure, and blood oxygen saturation in real time through daily monitoring equipment; through mobile phone applications or online questionnaires, patients can enter information about their living habits and symptom descriptions;

[0038] The data processing and cleaning module converts data from different sources into a unified format, identifies and corrects erroneous or unreasonable data values, and uses statistical methods or other techniques to supplement missing data points;

[0039] The health assessment module uses machine learning algorithms to predict the probability of occurrence or worsening of specific diseases, and comprehensively considers biomarkers, lifestyle factors, genetic background and other dimensions to quantify the patient's overall health status. It establishes personalized health standards based on individual characteristics rather than a one-size-fits-all standard.

[0040] The report generation module provides doctors and patients with an intuitive health indicator display interface, showing the trend of various health indicators over time, and automatically generates detailed reports including diagnosis results and treatment recommendations;

[0041] The decision-making recommendation module proposes the best treatment strategy based on the latest medical research results and personal health records, and provides specific improvement measures for diet and exercise;

[0042] The privacy and security protection module ensures that all sensitive information is strictly encrypted during transmission and storage, so that only authorized personnel can view or modify patient data. For data used for research purposes, personal information identifiers are removed without affecting the analysis results.

[0043] The user interaction feedback module is used for communication between doctors and patients, facilitating timely adjustment of health management plans, collecting user experience feedback, and continuously improving service quality.

[0044] The data acquisition module includes an electronic health record integration unit, a wearable device IoT sensor unit, a mobile application questionnaire unit, a biological sample analysis unit, an environmental monitoring unit, and a manual entry and manual review unit;

[0045] The electronic health record integration unit is used to extract the patient's medical history, diagnosis results, treatment plan, and laboratory test report from the hospital information system or the clinic's electronic medical record system;

[0046] The wearable device IoT sensor unit collects data from wearable devices and IoT sensors such as smart watches, fitness trackers, blood glucose meters, and blood pressure monitors in real time, and can achieve remote monitoring with external devices via Bluetooth or cellular networks;

[0047] The mobile application questionnaire unit allows patients to input relevant information by themselves through a mobile application or online questionnaire. A user-friendly interface can be provided through the mobile APP for patients to fill in their daily health status, symptom descriptions, and lifestyle habits. A web form can also be used to allow patients to complete a more detailed health questionnaire on a computer.

[0048] The biological sample analysis unit integrates gene sequencing results and other molecular biology test data, such as blood biochemical indicators, proteomics, and metabolomics; data sources include third-party genetic testing services or laboratory information systems.

[0049] The environmental monitoring unit collects data related to the patient's living environment to help understand the impact of external factors on health;

[0050] The manual entry and manual review unit provides a portal for medical staff to manually add or modify certain key data points and verify and supplement the automatically collected data.

[0051] The data processing and cleaning module includes a data receiving and checking unit, a data standardization and unification unit, a missing value processing unit, an outlier detection and processing unit, a duplicate record identification and merging unit, a data denoising and smoothing processing unit, and a data consistency checking unit;

[0052] The data receiving and checking unit receives data from various data sources and performs preliminary quality checks. Its tasks include format verification, integrity check, and preliminary anomaly detection. The data standardization and unification unit converts data from different sources into a unified standard format and coding system. Its tasks include term mapping, unit conversion, and timestamp normalization. The missing value processing unit identifies and processes missing values ​​in the data to avoid affecting subsequent analysis. Its tasks include median filling and deletion strategies. The outlier detection and processing unit identifies and corrects outliers in the data to ensure the authenticity and reliability of the data. The duplicate record identification and merging unit identifies and merges duplicate records to avoid data redundancy. The data denoising and smoothing processing unit reduces noise interference in the data and improves signal quality. The data consistency checking unit ensures consistency across multiple data sets or dimensions.

[0053] The health assessment module includes a disease early warning unit, a multi-dimensional health scoring unit, a biomarker analysis unit, a symptom and sign correlation analysis unit, a drug efficacy and side effect monitoring unit, a treatment recommendation unit, a quality of life assessment unit, and a monitoring feedback unit;

[0054] The disease warning unit predicts possible health risks or diseases in the future by analyzing the patient's health data, including using supervised learning algorithm to train models to predict the probability of occurrence of specific diseases. For chronic disease management, it analyzes trend changes in long-term monitoring data to detect signs of worsening of the disease in advance, and calculates a comprehensive risk score by comprehensively considering multiple dimensions such as age, gender, family history, and lifestyle habits; the multidimensional health scoring unit generates one or more health scores for the patient based on multiple health indicators to help doctors quickly understand the patient's overall health status, calculate basic health scores based on physiological parameters such as heart rate, blood pressure, and blood sugar, evaluate the impact of lifestyle factors such as eating habits, exercise frequency, smoking and drinking on health, and evaluate the patient's psychological status through questionnaires or psychological testing tools. Health status, setting personalized health standards according to different age groups, genders and individual differences; the biomarker analysis unit analyzes biomarkers in blood, urine and other samples to assist in diagnosis and monitoring of disease progression; the symptom-sign association analysis unit combines the patient's subjective symptom description with objective physical sign data to help doctors judge the condition more accurately; the drug efficacy and side effect monitoring unit evaluates the effectiveness of the current medication plan and monitors possible adverse reactions; the treatment recommendation unit provides customized treatment suggestions based on the patient's health assessment results; the quality of life assessment unit evaluates the patient's quality of life; the monitoring feedback unit establishes a continuous monitoring mechanism to ensure that the assessment results can promptly reflect changes in the patient's health status and adjust the treatment plan accordingly.

[0055] The report generation module includes a data integration processing unit, a template management unit, a visualization icon generation unit, a text content generation unit, a personalized recommendation unit, an interactive report unit and a report distribution and sharing unit;

[0056] The data integration processing unit obtains various types of health data from the health status assessment module and performs necessary preprocessing to ensure that all data used are accurate and consistent, remove outliers and missing values, and convert data from different sources into a unified format to facilitate subsequent analysis and presentation. The most relevant data set is selected according to the reporting requirements; the template management unit provides a variety of predefined report templates to meet different clinical needs and patient preferences; the visual icon generation unit converts complex data into intuitive charts and graphs to help users better understand their health status; the text content generation unit automatically generates detailed text descriptions to explain the results of each health assessment and their meaning; the personalized recommendation unit provides patients with personalized health management suggestions based on the assessment results; the interactive reporting unit provides an interactive reporting experience to enhance user participation and understanding; the report distribution and sharing unit sends the generated report to the designated recipient and supports multiple distribution channels.

[0057] The decision recommendation module includes a patient profile analysis unit, a risk prediction unit, a personalized treatment plan generation unit, a medication management unit, a lifestyle advice unit, a follow-up monitoring plan unit, and a patient communication assistance unit;

[0058] The patient profile analysis unit summarizes and analyzes the patient's comprehensive health information, including medical history, genomic data, and lifestyle factors; the risk prediction unit uses machine learning and statistical methods to predict the probability of occurrence of a specific disease or the possibility of worsening of the disease; the personalized treatment plan generation unit proposes the most suitable treatment strategy based on the patient's unique characteristics; the medication management unit evaluates the effectiveness of the current medication plan and makes improvement suggestions; the lifestyle recommendation unit provides specific improvement measures based on the patient's living habits; the follow-up monitoring plan unit sets a follow-up schedule and monitoring indicators to ensure the effective implementation of the treatment plan; and the patient communication assistance unit promotes effective communication between doctors and patients to ensure that patients understand and follow treatment recommendations.

[0059] The privacy and security protection module includes an identity authentication and access control unit, a data encryption unit, a de-identification unit, an audit log monitoring unit, and a compliance management unit;

[0060] The identity authentication access control unit verifies user identity and restricts access rights to system resources; the data encryption unit uses encryption technology to protect data during data transmission and storage; the de-identification unit removes or replaces information that directly identifies individuals so that the data cannot be directly associated with a specific individual during analysis; the audit log monitoring unit records all system operation activities and continuously monitors potential security threats; the compliance management unit ensures that the system complies with the requirements of relevant laws and regulations.

[0061] The user interaction feedback module includes a health advice push unit, a questionnaire survey unit and a doctor-patient communication platform unit;

[0062] The health advice push unit provides personalized health management and lifestyle adjustment suggestions based on the patient's health assessment results; the questionnaire survey unit collects patients' subjective feelings and living habits information through online questionnaires and surveys; the doctor-patient communication platform unit establishes a safe and convenient communication channel, allowing doctors and patients to communicate at any time.

[0063] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention; therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is limited by the appended claims rather than the above description. Therefore, it is intended that all changes that fall within the meaning and scope of the equivalent elements of the claims are included in the present invention, and any figure signs in the claims should not be regarded as limiting the claims involved.

[0064] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An individualized assessment system based on patient health, characterized in that: It includes data collection module, data processing and cleaning module, health status assessment module, report generation module, decision recommendation module, privacy and security protection module and user interaction feedback module; The data acquisition module is used to obtain the patient's medical history and test report information from the hospital information system, and collect physiological parameters such as heart rate, blood pressure, and blood oxygen saturation in real time through daily monitoring equipment; Through mobile phone applications or online questionnaires, patients are asked to input information about their lifestyle habits and symptom descriptions; The data processing and cleaning module converts data from different sources into a unified format, identifies and corrects erroneous or unreasonable data values, and uses statistical methods or other techniques to supplement missing data points; The health assessment module uses machine learning algorithms to predict the probability of occurrence or worsening of specific diseases, and comprehensively considers biomarkers, lifestyle factors, genetic background and other dimensions to quantify the patient's overall health status. It establishes personalized health standards based on individual characteristics rather than a one-size-fits-all standard. The report generation module provides doctors and patients with an intuitive health indicator display interface, showing the trend of various health indicators over time, and automatically generates detailed reports including diagnosis results and treatment recommendations; The decision-making recommendation module proposes the best treatment strategy based on the latest medical research results and personal health records, and provides specific improvement measures for diet and exercise; The privacy and security protection module ensures that all sensitive information is strictly encrypted during transmission and storage, so that only authorized personnel can view or modify patient data. For data used for research purposes, personal information identifiers are removed without affecting the analysis results. The user interaction feedback module is used for communication between doctors and patients, facilitating timely adjustment of health management plans, collecting user experience feedback, and continuously improving service quality.

2. The individualized assessment system based on patient health according to claim 1, characterized in that: The data acquisition module includes an electronic health record integration unit, a wearable device Internet of Things sensor unit, a mobile application questionnaire unit, a biological sample analysis unit, an environmental monitoring unit, and a manual entry and manual review unit.

3. The individualized assessment system based on patient health according to claim 1, characterized in that: The data processing and cleaning module includes a data receiving and checking unit, a data standardization and unification unit, a missing value processing unit, an outlier detection and processing unit, a duplicate record identification and merging unit, a data denoising and smoothing processing unit, and a data consistency checking unit.

4. The individualized assessment system based on patient health according to claim 1, characterized in that: The health status assessment module includes a disease early warning unit, a multidimensional health scoring unit, a biomarker analysis unit, a symptom-sign correlation analysis unit, a drug efficacy and side effect monitoring unit, a treatment recommendation unit, a quality of life assessment unit and a monitoring feedback unit.

5. The individualized assessment system based on patient health according to claim 1, characterized in that: The report generation module includes a data integration processing unit, a template management unit, a visualization icon generation unit, a text content generation unit, a personalized recommendation unit, an interactive report unit and a report distribution and sharing unit.

6. The individualized assessment system based on patient health according to claim 1, characterized in that: The decision recommendation module includes a patient profile analysis unit, a risk prediction unit, a personalized treatment plan generation unit, a medication management unit, a lifestyle advice unit, a follow-up monitoring plan unit and a patient communication assistance unit.

7. The individualized assessment system based on patient health according to claim 1, characterized in that: The privacy and security protection module includes an identity authentication and access control unit, a data encryption unit, a de-identification unit, an audit log monitoring unit and a compliance management unit.

8. The individualized assessment system based on patient health according to claim 1, characterized in that: The user interaction feedback module includes a health advice push unit, a questionnaire survey unit and a doctor-patient communication platform unit.

Images