Intelligent health data sensing platform based on Internet of Things and Internet

Abstract

The invention discloses a health data intelligent perception platform based on the Internet of Things and the Internet, and relates to the technical field of health data intelligent perception, and the platform comprises a data collection and transmission system which carries out the multi-source data collection, carries out the real-time collection of the vital sign data of a patient through various medical sensors disposed in a ward and intelligent wearable equipment worn by the patient, and carries out the real-time collection of the vital sign data of the patient; a patient is supported to input subjective feelings such as pain scores and sleep quality through a mobile medical APP, and a multi-dimensional health data set is formed; and safe and efficient transmission: the collected health data is safely transmitted to a cloud server through an encryption protocol by using the Internet of Things technology, and the cloud server adopts a distributed storage architecture to ensure the security and expandability of the data. According to the health data intelligent perception platform based on the Internet of Things and the Internet, deep mining and analysis of health data of a patient are realized through integration of an artificial intelligence model, intelligent decision support is provided for medical staff, and health management experience of the patient is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent perception of health data, and in particular to an intelligent perception platform for health data based on the Internet of Things and the Internet. Background Art

[0002] With the continuous advancement of medical technology and the increasing aging of the population, hospital wards are important places for patient treatment and rehabilitation. Their management efficiency and service quality are directly related to the treatment effect and satisfaction of patients. The traditional ward management model relies on manual recording and monitoring, which has problems such as untimely and inaccurate data collection and heavy workload for medical staff. In order to improve the intelligent level of ward management and optimize the patient care experience, it is particularly important to establish a health data intelligent perception platform.

[0003] Real needs:

[0004] 1. Improve medical efficiency: With the increase in the number of patients, the workload of medical staff is increasing. The health data intelligent perception platform can collect patients' vital signs data in real time and accurately, reduce the manual entry work of medical staff, and improve the efficiency of medical services.

[0005] 2. Optimize patient experience: Through intelligent equipment, patients can more easily obtain their health information and communicate with medical staff in a timely manner, thereby improving their satisfaction and comfort during hospitalization.

[0006] Strengthen medical safety: The platform can monitor the patient's vital signs in real time and immediately notify medical staff if any abnormality is found, effectively preventing medical accidents and ensuring the patient's life safety.

[0007] 3. Promote medical decision-making: Based on the analysis of big data and artificial intelligence, the platform can provide doctors with a more comprehensive and accurate health portrait of patients, assisting doctors in making more scientific and reasonable medical decisions.

[0008] The health data intelligent perception platform relies on cutting-edge technologies such as the Internet of Things, big data, cloud computing, and artificial intelligence. It integrates a variety of medical sensors, smart wearable devices, mobile medical apps, etc. to achieve real-time collection, transmission, processing, and analysis of patient health data. These technologies provide strong support for the intelligent management of wards.

[0009] With the rapid development of the smart medical industry, the establishment of a smart health data perception platform in wards has become an important direction for hospital information construction. In the future, with the continuous advancement of technology and the continuous expansion of application scenarios, the platform will pay more attention to the improvement of user experience and medical effects, and provide hospitals with more efficient, convenient and safe medical services.

[0010] In summary, the establishment of a health data intelligent perception platform in the ward is an inevitable trend in the development of medical technology and an important means to improve hospital management efficiency and service quality. The establishment of this platform will effectively promote the optimal allocation of medical resources, improve the quality and efficiency of medical services, and provide patients with a better medical service experience. Summary of the invention

[0011] In view of the deficiencies in the prior art, the present invention provides a health data intelligent perception platform based on the Internet of Things and the Internet, which solves the problems raised in the above-mentioned background technology.

[0012] To achieve the above objectives, the present invention is implemented through the following technical solutions: a health data intelligent perception platform based on the Internet of Things and the Internet, comprising:

[0013] Data acquisition and transmission system:

[0014] Multi-source data collection: Various medical sensors (such as heart rate monitors, blood pressure monitors, blood oxygen saturation monitors, etc.) deployed in the ward and smart wearable devices worn by patients collect patients' vital signs data in real time. At the same time, patients are supported to input subjective feelings, such as pain scores, sleep quality, etc., through mobile medical apps to form a multi-dimensional health data set;

[0015] Safe and efficient transmission: Using IoT technology, the collected health data is securely transmitted to the cloud server through encryption protocol. The cloud server adopts a distributed storage architecture to ensure data security and scalability.

[0016] Data processing and analysis platform:

[0017] Big data preprocessing: Perform preprocessing operations such as cleaning, denoising, and formatting the received raw data to improve data quality.

[0018] Anomaly detection model: Use machine learning algorithms (such as random forests, support vector machines, etc.) to build anomaly detection models to perform real-time analysis of processed health data and automatically identify and mark abnormal data, such as sudden changes in vital signs.

[0019] Predictive analysis model: Use deep learning algorithms (such as recurrent neural networks (RNNs), long short-term memory networks (LSTMs), etc.) to build predictive models to predict future health risks or disease development trends based on the patient's historical health data.

[0020] Personalized recommendation model: Combining the patient's age, gender, medical history and current health data, using collaborative filtering, content recommendation and other algorithms, to provide patients with personalized diet, exercise, medication recommendations, etc.

[0021] Data visualization: The analysis results are displayed intuitively in the form of charts, reports, etc., to help medical staff quickly understand the patient's health status and changing trends.

[0022] Intelligent decision support system:

[0023] Warning and notification: When abnormal data is detected or potential health risks are predicted, the system automatically generates warning information and notifies medical staff and patients' families via SMS, APP push, etc.

[0024] Diagnosis and treatment recommendations: Based on the analysis results of the artificial intelligence model, scientific and reasonable diagnosis and treatment recommendations are provided to medical staff to assist them in formulating personalized treatment plans.

[0025] Rehabilitation plan formulation: Develop a personalized rehabilitation plan for the patient based on their health status and predicted results, including dietary guidance, exercise arrangements, psychological support, etc.

[0026] Patient interaction and service system:

[0027] Health information query: Patients can check their health data, medical reports and rehabilitation plans at any time through the mobile medical APP.

[0028] Online consultation and diagnosis: Provide online consultation services, where patients can communicate with doctors via video or text to obtain professional medical advice.

[0029] Health management tools: Encourage patients to record diet, exercise and other data to form a health log, and combine it with the intelligent recommendation system to provide patients with more accurate health management suggestions.

[0030] The present invention provides a health data intelligent perception platform based on the Internet of Things and the Internet, which has the following beneficial effects: by integrating artificial intelligence models, it realizes in-depth mining and analysis of patient health data, provides intelligent decision-making support for medical staff, and optimizes the patient's health management experience. DETAILED DESCRIPTION

[0031] The following examples are used to illustrate the present invention, but they are not intended to limit the scope of the present invention.

[0032] The present invention provides a technical solution: a health data intelligent perception platform based on the Internet of Things and the Internet, comprising:

[0033] Data acquisition and transmission system:

[0034] Multi-source data collection: Various medical sensors (such as heart rate monitors, blood pressure monitors, blood oxygen saturation monitors, etc.) deployed in the ward and smart wearable devices worn by patients collect patients' vital signs data in real time. At the same time, patients are supported to input subjective feelings, such as pain scores, sleep quality, etc., through mobile medical apps to form a multi-dimensional health data set;

[0035] Safe and efficient transmission: Using IoT technology, the collected health data is securely transmitted to the cloud server through encryption protocol. The cloud server adopts a distributed storage architecture to ensure data security and scalability.

[0036] Data processing and analysis platform:

[0037] Big data preprocessing: Perform preprocessing operations such as cleaning, denoising, and format unification on the received raw data to improve data quality.

[0038] Anomaly detection model: Use machine learning algorithms (such as random forests, support vector machines, etc.) to build anomaly detection models to perform real-time analysis of processed health data and automatically identify and mark abnormal data, such as sudden changes in vital signs.

[0039] Predictive analysis model: Use deep learning algorithms (such as recurrent neural networks (RNNs), long short-term memory networks (LSTMs), etc.) to build predictive models to predict future health risks or disease development trends based on the patient's historical health data.

[0040] Personalized recommendation model: Combining the patient's age, gender, medical history and current health data, using collaborative filtering, content recommendation and other algorithms, to provide patients with personalized diet, exercise, medication recommendations, etc.

[0041] Data visualization: The analysis results are displayed intuitively in the form of charts, reports, etc., to help medical staff quickly understand the patient's health status and changing trends.

[0042] Intelligent decision support system:

[0043] Warning and notification: When abnormal data is detected or potential health risks are predicted, the system automatically generates warning information and notifies medical staff and patients' families via SMS, APP push, etc.

[0044] Diagnosis and treatment recommendations: Based on the analysis results of the artificial intelligence model, scientific and reasonable diagnosis and treatment recommendations are provided to medical staff to assist them in formulating personalized treatment plans.

[0045] Rehabilitation plan formulation: Develop a personalized rehabilitation plan for the patient based on their health status and predicted results, including dietary guidance, exercise arrangements, psychological support, etc.

[0046] Patient interaction and service system:

[0047] Health information query: Patients can check their health data, medical reports and rehabilitation plans at any time through the mobile medical APP.

[0048] Online consultation and diagnosis: Provide online consultation services, where patients can communicate with doctors via video or text to obtain professional medical advice.

[0049] Health management tools: Encourage patients to record diet, exercise and other data to form a health log, and combine it with the intelligent recommendation system to provide patients with more accurate health management suggestions.

[0050] The embodiments of the present invention are given for the purpose of illustration and description, and are not intended to be exhaustive or to limit the invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

Claims

1. A health data intelligent perception platform based on the Internet of Things and the Internet, characterized by: include: Data acquisition and transmission system: Multi-source data collection: Various medical sensors deployed in the ward and smart wearable devices worn by patients collect patients' vital signs data in real time, and support patients to input subjective feelings such as pain scores and sleep quality through mobile medical apps, thus forming a multi-dimensional health data set; Safe and efficient transmission: Using IoT technology, the collected health data is securely transmitted to the cloud server through encryption protocol. The cloud server adopts a distributed storage architecture to ensure data security and scalability.

2. According to claim 1, a health data intelligent perception platform based on the Internet of Things and the Internet is characterized by: Data processing and analysis platform: Big data preprocessing: Perform preprocessing operations such as cleaning, denoising, and formatting the received raw data to improve data quality; Anomaly detection model: Use machine learning algorithms to build anomaly detection models to analyze processed health data in real time, automatically identifying and marking abnormal data, such as sudden changes in vital signs; Predictive analytics models: using deep learning algorithms; Personalized recommendation model: Combines the patient's age, gender, medical history and current health data, and uses collaborative filtering, content recommendation and other algorithms to provide patients with personalized diet, exercise and medication recommendations; Data visualization: The analysis results are displayed intuitively in the form of charts, reports, etc., to help medical staff quickly understand the patient's health status and changing trends.

3. The health data intelligent perception platform based on the Internet of Things and the Internet according to claim 1 is characterized by: Intelligent decision support system: Warning and notification: When abnormal data is detected or potential health risks are predicted, the system automatically generates warning information and notifies medical staff and patients' families through SMS, APP push, etc.; Diagnosis and treatment suggestions: Based on the analysis results of the artificial intelligence model, provide scientific and reasonable diagnosis and treatment suggestions to medical staff to assist them in formulating personalized treatment plans; Rehabilitation plan formulation: Develop a personalized rehabilitation plan for the patient based on their health status and predicted results, including dietary guidance, exercise arrangements, psychological support, etc.

4. The health data intelligent perception platform based on the Internet of Things and the Internet according to claim 1 is characterized by: Patient interaction and service system: Health information query: Patients can check their health data, diagnosis and treatment reports and rehabilitation plans at any time through the mobile medical APP; Online consultation and consultation: Provide online consultation services, where patients can communicate with doctors via video or text to obtain professional medical advice; Health management tools: Encourage patients to record diet, exercise and other data to form a health log, and combine it with the intelligent recommendation system to provide patients with more accurate health management suggestions.