Health information management system based on intelligent frontal sinusitis therapeutic apparatus

Abstract

The invention discloses a health information management system based on an intelligent frontal sinusitis therapeutic apparatus, and the system comprises a therapeutic apparatus main body. A user information module, a therapeutic instrument data acquisition module, a symptom input module, a data analysis module, a therapeutic scheme adjustment module, a health reminding module, a remote medical module and a data storage module are integrated on the therapeutic instrument main body. Personal basic information, medical history information, allergy history information and family medical history information of a patient are stored through the user information module, therapeutic instrument working data and therapeutic effect related data are collected in real time through the therapeutic instrument data collection module, daily symptom information is input into the patient through the symptom input module, and comprehensive collection of multi-dimensional health information is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of health management, in particular to a health information management system based on an intelligent frontal sinusitis treatment instrument. BACKGROUND

[0002] Frontal sinusitis is a common nasal sinus disease that has a significant impact on the quality of life of patients. At present, intelligent frontal sinusitis treatment instruments are gradually appearing on the market, which can treat frontal sinusitis through physical therapy and other methods. However, in the existing frontal sinusitis treatment process, there is a lack of comprehensive, systematic and intelligent management solutions for patient health information.

[0003] On the one hand, the treatment data of patients during the use of the treatment instrument, such as treatment time, treatment intensity, treatment effect feedback, etc., are usually not effectively collected and organized, and doctors have difficulty in accurately assessing the treatment process and adjusting the treatment plan according to these data. On the other hand, the patient's own health status, including basic disease information, allergy history, daily symptom performance, etc., also cannot be organically combined with the use of the treatment instrument, and cannot provide sufficient basis for personalized treatment. In addition, during the treatment process, there is a lack of health reminders and guidance for patients, and patients may affect the treatment effect because they do not understand the precautions or do not perform the treatment on time. Therefore, it is of great practical significance to develop a system that can integrate various types of health information related to frontal sinusitis treatment and realize intelligent management and application. For this purpose, we propose a health information management system based on an intelligent frontal sinusitis treatment instrument. SUMMARY

[0004] The purpose of the present application is to provide a health information management system based on an intelligent frontal sinusitis treatment instrument to solve the problems raised in the background art.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solution: a health information management system based on an intelligent frontal sinusitis treatment instrument, comprising a treatment instrument main body, wherein the user information module, the treatment instrument data acquisition module, the symptom input module, the data analysis module, the treatment plan adjustment module, the health reminder module, the remote medical module and the data storage module are integrated on the treatment instrument main body, and wherein: The user information module is used to store the personal basic information, medical history information and allergy history information of the patient; The treatment instrument data acquisition module is in communication connection with the intelligent frontal sinusitis treatment instrument, and acquires the working data of the treatment instrument main body in real time, including the treatment time, the treatment mode and the treatment intensity; at the same time, it collects the treatment effect related data fed back by the treatment instrument, such as the quantitative indicators of the degree of inflammation relief; Symptom input module: provides a convenient input interface for patients, who can self-report daily symptoms related to sinusitis, such as the degree of headache, the severity of nasal congestion, the nature and amount of rhinorrhea, and other information; it can also record the time and frequency of symptoms; Data analysis module: comprehensive analysis of personal information from the user information module, data from the treatment instrument data collection module, and patient self-reported symptom data from the symptom input module. Using data analysis algorithms, a health status model for the patient is established, for example, by analyzing the relationship between treatment time, treatment intensity, and symptom relief, the effectiveness of the current treatment plan is evaluated; Treatment plan adjustment module: based on the analysis results of the data analysis module, if the current treatment plan is found to be ineffective, such as if the symptoms are not significantly relieved and the duration is long, the doctor is automatically provided with suggestions for adjusting the treatment plan, including adjusting the treatment mode of the treatment instrument, increasing or decreasing the treatment intensity, changing the treatment time interval, etc. Health reminder module: based on the treatment plan and the patient's daily situation, a health reminder function is set. Remind patients to treat on time; remind patients to pay attention to dietary taboos during treatment; remind patients to rest in time; when the patient needs to be rechecked, send a recheck reminder in advance, informing the recheck time, location and related matters needing attention; Remote medical module: patients can upload their treatment data, symptom information, etc. through this module, doctors can view in real time and communicate with patients through video calls or text messages, and conduct remote diagnosis and guidance; Data storage module: all data generated by all modules in the system are stored in a classified manner, including patient personal information, treatment data, symptom data, doctor's diagnosis records, and treatment plan adjustment records.

[0006] Preferably, the user information module also includes family history information, which records the incidence of diseases related to sinus diseases or other diseases that may affect the treatment of frontal sinusitis in the patient's family.

[0007] Preferably, the treatment instrument data collection module transmits data to the intelligent frontal sinusitis treatment instrument through wireless communication technology such as Bluetooth and Wi-Fi.

[0008] Preferably, the symptom input module is provided with a voice input function, and patients can describe symptom information through voice, and the system automatically converts voice into text and records and analyzes it.

[0009] Preferably, the data analysis algorithms used in the data analysis module include but are not limited to regression analysis algorithms and clustering analysis algorithms, which can be used for deep mining and correlation analysis of multi-source data.

[0010] Preferably, the treatment scheme adjustment module provides the treatment scheme adjustment experience and effect comparison data of similar cases in the past when providing adjustment suggestions for doctors, to assist doctors in making decisions.

[0011] Preferably, the reminding mode of the health reminding module includes but is not limited to mobile phone push message, SMS reminder, and system pop-up window reminder.

[0012] Preferably, the remote medical module adopts encryption communication technology, and the data storage module regularly backs up data and adopts data encryption technology for sensitive data.

[0013] Compared with the prior art, the health information management system based on the intelligent antral sinusitis treatment instrument has the beneficial effects that: the user information module stores patient personal basic information, medical history information, allergy history information, and family medical history information; the treatment instrument data acquisition module acquires treatment instrument working data and treatment effect related data in real time; the symptom input module enables patients to input daily symptom information, so that multi-dimensional health information is comprehensively collected. The data analysis module uses regression analysis algorithm, clustering analysis algorithm, etc. to deeply mine and correlate analyze multi-source data, establishes a patient health condition model, and evaluates the effectiveness of the current treatment scheme. The treatment scheme adjustment module automatically provides adjustment suggestions for doctors if the current treatment scheme is not effective, including adjusting the treatment mode, intensity, time interval, etc., and provides treatment scheme adjustment experience and effect comparison data of similar cases. BRIEF DESCRIPTION OF DRAWINGS

[0014] Fig. 1 FIG. 1 is a structural schematic diagram of the system architecture of the present application; Fig. 2 FIG. 2 is a structural schematic diagram of the present application; Fig. 3 FIG. 3 is a communication schematic diagram of the treatment instrument data acquisition module and the treatment instrument of the present application.

[0015] In the figure: treatment instrument main body 1, user information module 101, treatment instrument data acquisition module 102, symptom input module 103, data analysis module 104, treatment scheme adjustment module 105, health reminding module 106, remote medical module 107, data storage module 108. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application. EMBODIMENT

[0017] Referring to Figs. 1-3 The present application provides a technical solution: a health information management system based on intelligent frontal sinusitis treatment instrument, including treatment instrument main body 1, the treatment instrument main body 1 is integrated with user information module 101, treatment instrument data acquisition module 102, symptom input module 103, data analysis module 104, treatment scheme adjustment module 105, health reminding module 106, remote medical module 107 and data storage module 108, wherein: User information module 101: used for storing the personal basic information, medical history information and allergic history information of patients. This module also includes family medical history information, records the incidence of patients' family with sinus diseases or other diseases that may affect the treatment of frontal sinusitis. By collecting various types of information of patients, it provides rich data basis for subsequent treatment analysis, solves the problem of lack of targeted treatment due to incomplete patient information in the past. For example, understanding the allergic history of patients can avoid using drugs or treatment methods that may cause allergic reactions during treatment; family medical history information helps doctors to judge whether the patient has a genetic factor leading to disease tendency, so as to develop more accurate treatment plan.

[0018] Treatment instrument data acquisition module 102: in communication connection with intelligent frontal sinusitis treatment instrument, real-time acquisition of working data of treatment instrument main body 1, including treatment time, treatment mode, treatment intensity; At the same time, collect the treatment effect related data feedback by treatment instrument, such as the quantitative index of inflammation relief degree. This module transmits data with intelligent frontal sinusitis treatment instrument through wireless communication technology, such as Bluetooth, Wi-Fi. Real-time acquisition of key data in the process of using treatment instrument is realized, which solves the problem of difficult collection and arrangement of treatment data. Doctors can intuitively understand the working state and treatment effect of treatment instrument according to these real-time data, which provides objective basis for evaluating the effectiveness of treatment scheme. For example, by analyzing the relationship between treatment time, treatment intensity and inflammation relief degree, it is judged whether the current treatment scheme achieves the expected effect and whether it needs to be adjusted.

[0019] Symptom input module 103: Provide a convenient input interface for patients, patients can self-enter daily sinusitis related symptoms, such as the degree of headache, the severity of nasal congestion, the nature and amount of runny nose, etc. Information; Also record the time and frequency of symptoms. This module is provided with a voice input function, and patients can describe the symptom information through voice, and the system automatically converts the voice into text and records and analyzes it. It is convenient for patients to timely and accurately feed back their own symptoms to the system, solving the problems of tedious manual input and possible untimely and inaccurate recording. Doctors can better understand the changes in the patient's condition in combination with other data according to the real-time feedback of the patient's symptoms, and timely adjust the treatment plan. For example, if the patient's headache suddenly worsens, the doctor can determine whether to change the treatment mode or increase the treatment intensity according to this symptom combined with treatment instrument data and medical history information.

[0020] Data analysis module 104: Comprehensive analysis of personal information from user information module, data from treatment instrument data acquisition module, and patient self-reported symptom data from symptom input module. Use data analysis algorithms, including but not limited to regression analysis algorithm, clustering analysis algorithm, through these algorithms to deeply mine and correlate multiple source data, establish the patient's health status model, for example, by analyzing the relationship between treatment time, treatment intensity and symptom relief degree, evaluate the effectiveness of the current treatment plan. Through in-depth analysis of multi-source data, potential relationships between data can be mined, providing a scientific basis for adjusting the treatment plan, solving the problem of inaccurate and unscientific evaluation of treatment effect. For example, through the regression analysis algorithm, the specific impact of the extension of the treatment time or the change of the treatment intensity on the symptom relief degree can be accurately analyzed, thereby providing more targeted treatment plan adjustment suggestions for doctors.

[0021] Treatment plan adjustment module 105: According to the analysis results of the data analysis module, if the current treatment plan is found to be ineffective, such as no obvious symptom relief and long duration, automatically provide suggestions for doctors to adjust the treatment plan, including adjusting the treatment mode of the treatment instrument, increasing or reducing the treatment intensity, changing the treatment time interval, etc. When providing adjustment suggestions for doctors, provide treatment plan adjustment experience and effect comparison data of similar cases in the past to assist doctors in making decisions. Provide scientific suggestions and reference cases for doctors to adjust the treatment plan, solving the problem of lack of effective basis and experience reference for doctors when adjusting the treatment plan. Doctors can learn from the successful experience of similar cases in the past, combined with the specific circumstances of the current patient, more reasonably adjust the treatment plan and improve the treatment effect. For example, when the system analyzes that the current treatment mode is not effective for the patient, reference the effect comparison data after adjusting the treatment mode in similar cases, and the doctor can have more confidence in selecting the appropriate new treatment mode.

[0022] The health reminder module 106 sets a health reminder function according to the treatment plan and the daily situation of the patient. The patient is reminded to take treatment on time; the patient is reminded to pay attention to the dietary taboo during treatment; the patient is reminded to rest in time; when the patient needs to return for a visit, a return visit reminder is sent in advance, and the return visit time, place and related matters needing attention are informed. The reminding methods include but are not limited to mobile phone push message, short message reminder, system pop-up window reminder. The treatment compliance of the patient is effectively improved, and the problem that the treatment is not standardized due to negligence or lack of attention of the patient is solved. For example, the patient is reminded to take treatment on time through the mobile phone push message, and the patient can respond in time to avoid missing the treatment time; when the patient needs to return for a visit, a detailed return visit reminder is sent in advance, including time, place and matters needing attention, so that the patient can return for a visit on time and accurately.

[0023] The remote medical module 107: the patient can upload his own treatment data, symptom information, etc. through this module, and the doctor can view and communicate with the patient in real time through video or text, and conduct remote diagnosis and guidance. Encryption communication technology is adopted to ensure the safety of information transmission. The time and space limitations are broken, and convenient medical services are provided for patients, solving the problem that patients cannot go to the hospital and cannot get timely guidance from doctors. For example, patients in remote areas do not need to travel long distances to the hospital. Through the remote medical module, the doctor can view the patient's treatment data and symptom information in real time, conduct remote diagnosis and guidance, and timely adjust the treatment plan, improving the accessibility and timeliness of medical services.

[0024] The data storage module 108: all data generated by all modules in the system are classified and stored, including the personal information of the patient, the treatment data, the symptom data, the diagnosis record of the doctor, and the treatment plan adjustment record. The data is backed up regularly, and sensitive data is stored by using data encryption technology. The safety, integrity and traceability of the data are ensured, and the problems of unsafe data storage, easy loss and leakage are solved. For example, the personal sensitive information of the patient, such as the ID number and the privacy part of the medical history, is stored by using data encryption technology to prevent illegal acquisition of data; regular backup of data can avoid data loss due to system failure and other reasons, and ensure that historical data can be queried and called at any time, providing reliable data support for medical services.

[0025] In the above scheme, the user information module 101 further includes family history information, which records the incidence of diseases related to sinus diseases or other diseases that may affect the treatment of frontal sinusitis in the patient's family.

[0026] In the above scheme, the treatment instrument data acquisition module 102 transmits data with the intelligent frontal sinusitis treatment instrument through wireless communication technology such as Bluetooth and Wi-Fi.

[0027] In the above scheme, the symptom input module 103 is equipped with a voice input function, which allows patients to describe their symptoms by voice. The system automatically converts the voice into text and records and analyzes it.

[0028] In the above scheme, the data analysis algorithms used in the data analysis module 104 include, but are not limited to, regression analysis algorithms and clustering analysis algorithms, which are used to perform in-depth mining and correlation analysis on multi-source data.

[0029] In the above scheme, the treatment plan adjustment module 105 provides doctors with adjustment suggestions, as well as experience and effect comparison data of treatment plan adjustments in similar cases in the past, to assist doctors in making decisions.

[0030] In the above scheme, the reminder methods of the health reminder module 106 include, but are not limited to, mobile phone push messages, SMS reminders, and in-system pop-up reminders.

[0031] In the above scheme, the remote medical module 107 adopts encrypted communication technology, and the data storage module 108 backs up the data regularly and uses data encryption technology for sensitive data.

[0032] This health information management system based on an intelligent frontal sinusitis treatment device includes the following stages: Data collection phase: When a patient uses the system for the first time, the user information module 101 guides the patient to enter their basic personal information, medical history, allergy history, and family medical history, and stores this information in the data storage module 108. The treatment device data acquisition module 102 establishes a connection with the intelligent frontal sinusitis treatment device through wireless communication technologies such as Bluetooth or Wi-Fi, and collects in real time the treatment time, treatment mode, treatment intensity, and other working data of the treatment device, as well as quantitative indicators of the degree of inflammation relief and other treatment effect-related data, and transmits this data to the data storage module 108 for storage. The symptom input module 103 provides an input interface for the patient. The patient can enter information such as the degree of headache, the severity of nasal congestion, the characteristics and amount of runny nose, and the time and frequency of symptom occurrence into the system through manual input or voice input, which is also stored in the data storage module 108. Data analysis phase: The data analysis module 104 obtains patient personal information provided by the user information module 101, treatment device operation and effect data collected by the treatment device data acquisition module 102, and patient symptom data entered by the symptom input module 103 from the data storage module 108. It then uses data analysis algorithms such as regression analysis and cluster analysis to perform in-depth mining and correlation analysis on this multi-source data. For example, regression analysis is used to study the quantitative relationship between treatment time, treatment intensity, and the degree of inflammation relief; cluster analysis is used to group patients with similar symptoms and treatment responses into one category, thereby establishing a patient health status model and evaluating the effectiveness of the current treatment plan. Treatment plan adjustment phase: The treatment plan adjustment module 105 receives the analysis results output by the data analysis module 104. If the current treatment plan is found to be ineffective, such as insignificant symptom relief and prolonged duration, the system automatically retrieves past treatment plan adjustment experience and effect comparison data for similar cases from the data storage module 108. Based on the analysis results and similar case data, the system provides doctors with suggestions for adjusting the treatment plan, including adjusting the treatment mode of the treatment device, increasing or decreasing the treatment intensity, and changing the treatment interval, to assist doctors in developing a more suitable treatment plan for the patient. Doctors adjust the treatment plan based on the system's suggestions and clinical experience, and then feed the adjusted plan back to the system. The system stores the new plan in the data storage module 108 and tracks the implementation effect of the new plan. Health reminder phase: The health reminder module 106 retrieves treatment plan information and patient daily status information from the data storage module 108. Based on the treatment plan, it sets timely treatment reminders; based on the patient's physical condition and treatment requirements, it sets dietary restrictions and rest reminders; when the patient needs a follow-up visit, it retrieves the follow-up visit time, location, and related precautions from the data storage module 108 and informs the patient in advance via push notifications, SMS reminders, or in-system pop-up reminders. Telemedicine Phase: Patients retrieve their treatment data and symptom information from the data storage module 108 via the telemedicine module 107 and upload it to the system. Doctors view the uploaded data and information in real time via the telemedicine module 107; doctors conduct video calls or text communications with patients for remote diagnosis and guidance. Based on the patient's real-time condition, doctors adjust the treatment plan in the telemedicine module 107 and send the adjustment information to the patient. Simultaneously, the system stores the doctor's diagnostic records and treatment plan adjustment records in the data storage module 108. Data security assurance phase: The data storage module 108 employs secure and reliable database storage technology to categorize and store data generated by all modules within the system. During storage, sensitive data, such as patients' personal identification information and private portions of medical history, is encrypted using data encryption technology. Stored data is backed up regularly to prevent data loss. When the system needs to access data, it can quickly and accurately retrieve the corresponding data from the database, providing data support for the normal operation of other modules and ensuring the stable and secure operation of the entire health information management system.

[0033] 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 health information management system based on intelligent treatment instrument for antral sinusitis, comprising a treatment instrument main body (1), characterized in that: The treatment instrument main body (1) is integrated with a user information module (101), a treatment instrument data acquisition module (102), a symptom input module (103), a data analysis module (104), a treatment scheme adjustment module (105), a health reminding module (106), a remote medical treatment module (107) and a data storage module (108), wherein: The user information module (101) is used for storing the personal basic information, medical history information and allergy history information of the patient; The treatment instrument data acquisition module (102) is in communication connection with the intelligent frontal sinusitis treatment instrument, acquires the working data of the treatment instrument main body (1) in real time, including the treatment time, treatment mode and treatment intensity; and collects the treatment effect related data fed back by the treatment instrument, such as the quantitative index of the inflammation relief degree; The symptom input module (103) provides a convenient input interface for the patient, and the patient can self-enter the daily frontal sinusitis related symptoms, such as the degree of headache, the severity of nasal congestion, the character and amount of runny nose and the like; and can also record the time and frequency of the symptoms; The data analysis module (104) comprehensively analyzes the personal information from the user information module, the data of the treatment instrument data acquisition module and the patient self-reported symptom data of the symptom input module. The health condition model of the patient is established by using a data analysis algorithm, for example, the effectiveness of the current treatment scheme is evaluated by analyzing the relationship between the treatment time, treatment intensity and symptom relief degree; The treatment scheme adjustment module (105) automatically provides the suggestion of adjusting the treatment scheme for the doctor according to the analysis result of the data analysis module if the current treatment scheme is found to be ineffective, such as the symptom relief is not obvious and the duration is long, including adjusting the treatment mode of the treatment instrument, increasing or reducing the treatment intensity, changing the treatment time interval and the like; The health reminding module (106) sets the health reminding function according to the treatment scheme and the daily situation of the patient. The patient is reminded to treat on time; the patient is reminded to pay attention to the diet taboo during the treatment; the patient is reminded to rest in time; when the patient needs to return for a diagnosis, the return for diagnosis reminding is sent in advance, and the return for diagnosis time, place and related matters needing attention are informed; The remote medical treatment module (107) is used for the patient to upload the treatment data, symptom information and the like of the patient, and the doctor can view in real time and make video call or text communication with the patient, so as to make remote diagnosis and guidance; The data storage module (108) classifies and stores the data generated by all the modules in the system, including the personal information of the patient, treatment data, symptom data, diagnosis record of the doctor and treatment scheme adjustment record.

2. The health information management system based on the intelligent antral sinusitis therapeutic instrument according to claim 1, characterized in that: The user information module (101) further includes family medical history information, which records the incidence of diseases related to nasal sinus diseases or other diseases that may affect the treatment of frontal sinusitis in the patient's family.

3. The health information management system based on the intelligent antral sinusitis therapeutic instrument according to claim 1, characterized in that: The treatment instrument data acquisition module (102) transmits data with the intelligent frontal sinusitis treatment instrument through wireless communication technology, such as Bluetooth and Wi-Fi.

4. The health information management system based on the intelligent treatment instrument for antrotitis according to claim 1, characterized in that: The symptom input module (103) is provided with a voice input function, and the patient can describe the symptom information through voice, and the system automatically converts the voice into text and records and analyzes it.

5. The health information management system based on the intelligent antral sinusitis therapeutic instrument according to claim 1, characterized in that: The data analysis algorithm used in the data analysis module (104) includes but is not limited to regression analysis algorithm, clustering analysis algorithm, through which the multi-source data is deeply mined and analyzed.

6. The health information management system based on the intelligent antral sinusitis therapeutic instrument according to claim 1, characterized in that: The treatment scheme adjustment module (105) provides the treatment scheme adjustment experience and effect comparison data of the past similar cases when providing the adjustment suggestions for the doctors, so as to assist the doctors in making decisions.

7. The health information management system based on the intelligent treatment instrument for antrotitis according to claim 1, characterized in that: The reminding mode of the health reminding module (106) includes but is not limited to mobile phone push message, SMS reminder and system pop-up window reminder.

8. The health information management system based on the intelligent treatment instrument for antrotitis according to claim 1, characterized in that: The remote medical module (107) adopts the encryption communication technology, the data storage module (108) regularly backs up the data, and adopts the data encryption technology for sensitive data.

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