CN117558468A - Cancer patient health management platform based on virtual community - Google Patents
Cancer patient health management platform based on virtual community Download PDFInfo
- Publication number
- CN117558468A CN117558468A CN202311584275.XA CN202311584275A CN117558468A CN 117558468 A CN117558468 A CN 117558468A CN 202311584275 A CN202311584275 A CN 202311584275A CN 117558468 A CN117558468 A CN 117558468A
- Authority
- CN
- China
- Prior art keywords
- patient
- platform
- data
- virtual
- patients
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000036541 health Effects 0.000 title claims abstract description 50
- 206010028980 Neoplasm Diseases 0.000 title claims abstract description 25
- 201000011510 cancer Diseases 0.000 title claims abstract description 24
- 208000024891 symptom Diseases 0.000 claims abstract description 35
- 230000000694 effects Effects 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 16
- 230000003993 interaction Effects 0.000 claims abstract description 14
- 238000003745 diagnosis Methods 0.000 claims abstract description 7
- 230000002452 interceptive effect Effects 0.000 claims abstract description 4
- 201000010099 disease Diseases 0.000 claims description 15
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 15
- 238000001514 detection method Methods 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 8
- 239000003814 drug Substances 0.000 claims description 8
- 235000016709 nutrition Nutrition 0.000 claims description 8
- 230000035764 nutrition Effects 0.000 claims description 8
- 230000001093 anti-cancer Effects 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000013058 risk prediction model Methods 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 4
- 230000000276 sedentary effect Effects 0.000 claims description 4
- 230000001133 acceleration Effects 0.000 claims description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 230000035622 drinking Effects 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 210000001503 joint Anatomy 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000029058 respiratory gaseous exchange Effects 0.000 claims description 3
- 230000007958 sleep Effects 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 206010003658 Atrial Fibrillation Diseases 0.000 claims description 2
- 208000000418 Premature Cardiac Complexes Diseases 0.000 claims description 2
- 238000013473 artificial intelligence Methods 0.000 claims description 2
- 239000008280 blood Substances 0.000 claims description 2
- 210000004369 blood Anatomy 0.000 claims description 2
- 238000009530 blood pressure measurement Methods 0.000 claims description 2
- 230000036760 body temperature Effects 0.000 claims description 2
- 238000005516 engineering process Methods 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 238000003058 natural language processing Methods 0.000 claims description 2
- 201000002859 sleep apnea Diseases 0.000 claims description 2
- 230000037396 body weight Effects 0.000 claims 1
- 238000007405 data analysis Methods 0.000 abstract 1
- 230000000474 nursing effect Effects 0.000 description 10
- 230000002354 daily effect Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 230000003203 everyday effect Effects 0.000 description 6
- 239000000463 material Substances 0.000 description 6
- 230000009471 action Effects 0.000 description 5
- 238000002512 chemotherapy Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000012360 testing method Methods 0.000 description 5
- 230000037213 diet Effects 0.000 description 3
- 235000005911 diet Nutrition 0.000 description 3
- 229940079593 drug Drugs 0.000 description 3
- 230000005802 health problem Effects 0.000 description 3
- 230000010354 integration Effects 0.000 description 3
- 230000036772 blood pressure Effects 0.000 description 2
- 206010013781 dry mouth Diseases 0.000 description 2
- 230000008451 emotion Effects 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- 238000000265 homogenisation Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000002035 prolonged effect Effects 0.000 description 2
- 230000000241 respiratory effect Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 230000003442 weekly effect Effects 0.000 description 2
- 206010063659 Aversion Diseases 0.000 description 1
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 201000004624 Dermatitis Diseases 0.000 description 1
- 206010058314 Dysplasia Diseases 0.000 description 1
- 208000010496 Heart Arrest Diseases 0.000 description 1
- 206010020751 Hypersensitivity Diseases 0.000 description 1
- 206010020772 Hypertension Diseases 0.000 description 1
- 238000012351 Integrated analysis Methods 0.000 description 1
- 206010058467 Lung neoplasm malignant Diseases 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 208000026935 allergic disease Diseases 0.000 description 1
- 230000007815 allergy Effects 0.000 description 1
- 208000008784 apnea Diseases 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 239000003651 drinking water Substances 0.000 description 1
- 235000020188 drinking water Nutrition 0.000 description 1
- 230000029142 excretion Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 201000005202 lung cancer Diseases 0.000 description 1
- 208000020816 lung neoplasm Diseases 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000004630 mental health Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 230000035488 systolic blood pressure Effects 0.000 description 1
- 230000001755 vocal effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
- G16H10/65—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The invention discloses a cancer patient health management platform based on a virtual community, and relates to the technical field of online health management virtual communities. The virtual community platform comprises a data acquisition module, an information reporting module, a data analysis module, a big data platform, a community interaction platform, a virtual hospital platform, a GPS positioning system, an AI accompany diagnosis, an early warning prompt system, a display system and a data processing center. The virtual community platform not only uses 'lifetime effect' to prompt patients to manage symptoms by setting up an interactive bridge among patients, but also improves the patient symptom management confidence and compliance; and meanwhile, doctors and patients can be connected, a patient inquiry platform is provided at any time and any place, health push knowledge is customized, and bad symptoms in daily life of the patient are corrected. The method can effectively solve the problem of hysteresis in patient health management, break through the time and place limitation of medical treatment, and save medical resources and economic cost.
Description
Technical Field
The invention relates to the technical field of virtual communities, in particular to a cancer patient health management platform based on a virtual community.
Background
The cancer patient needs continuous regular re-diagnosis due to the disease characteristics, but the doctor has short facial diagnosis time, the patient is difficult to completely express the self uncomfortable condition in a short time, a large amount of auxiliary examination is needed, but the patient is forced to be in an examination place and is unfavored in the process, and the daunting emotion exists. Meanwhile, due to diseases and other reasons, patients often leave out communication with people and lack social support, and are difficult to continuously and practically manage, so that physical and mental health of the patients is threatened. In addition to individual health, social support is also one of the important indicators of health; people are social animals, and a strong social connection network can help patients to recover as early as possible. Previous studies have demonstrated that social support is an important influencing factor that affects patient self-management ability and symptom-related experience, and is also an effective strategy that can improve patient disease management and quality of life. In recent years, the support of the companion is gradually promoted by people, so that not only can the health education be promoted and the pubic feeling of the patient be improved, but also the sub-health psychological state of the patient can be adjusted. Especially, the 5G age in China has come, the mobile medical resources are rich, and if the remote medical treatment is applied to the symptom management of lung cancer patients, the time and region boundaries of the traditional medical treatment can be broken, the emotion support can be given to the patients and the intervention efficiency can be effectively improved.
Virtual communities refer to communities of mutual care formed in the process of sharing knowledge and information based on common interests, communicating through the internet; may be an interest group, an organization, or may be a communication platform or social space. Not only can provide a platform for medical information exchange for patients and doctors, but also can provide activities related to health promotion such as patient education, partner support, information sharing and the like; the method can break through the limitation of time and region and realize the goal of health management at any time and any place. Compared with domestic, the patient mutual-aid community is more mature and various in developed countries abroad, for example, cancer care is built in 1944, and is a virtual community with the longest history and the greatest regulation in the United states, and the community can provide free services such as partner support, individual case management, online and offline consultation and the like for patients and regularly release information resources such as Cancer treatment, economic rescue and the like. In addition, the partner attraction rule of the virtual community can strengthen the connection among patients, so that the patients can use the community for a long time, and the symptom management period is prolonged.
In summary, cancer patients need regular return chemotherapy, but due to the limitation of high-quality medical resources, the patients are forced to communicate with medical staff in time due to geographical distance and economic pressure, and problems occurring in the intermittent period of chemotherapy cannot be solved in time. Therefore, based on high-quality network resources in China, a virtual community of cancer patients is to be built, so that the patients can find out 'tissues', share anticancer experience and access a hospital platform, and the patients can solve the health problem in time.
Disclosure of Invention
The technical scheme provided by the invention is as follows: the cancer patient health management platform based on the virtual community comprises a data acquisition module, wherein the data acquisition module is an intelligent bracelet, and the intelligent bracelet acquires daily activity data and health data information of a patient through a sensor;
the virtual community platform comprises an information reporting module, wherein the information reporting module is connected with an AI robot to simulate human dialogue, guide a patient to upload symptom information in an interactive mode, and transmit and store the information in a data processing center;
the virtual community platform comprises a data transmission module, wherein the data transmission module is used for transmitting information acquired by the data acquisition module to a data processing center;
the data processing module can convert the collected patient data into a risk prediction model, comprises a cancer patient debilitation prediction model customized based on an R language machine algorithm (a prototype is shown in fig. 4, a model webpage is shown in fig. 5), can advance the debilitation occurrence risk of a patient, advances a dry pre-dry mouth, and lightens the patient risk.
The virtual community platform comprises a big data platform which comprises a health management database, a psychological database, a nutrition database, a sports database, a health education database and the like, provides proper health management schemes and knowledge learning contents for patients, can perform knowledge retrieval by adopting keyword retrieval, advanced retrieval and the like, and can display retrieval history and collection contents;
the virtual community platform comprises a community interaction platform, the community interaction platform builds an exchange bridge among patients, anticancer experience and symptom management experience exchange can be carried out between the patients through characters, language, pictures and videos, and patient symptom management confidence and symptom management compliance are improved through 'lifetime effect' and 'heterogeneous assistance';
the virtual community platform comprises a virtual hospital platform, wherein the virtual hospital platform provides an online consultation path for patients, a virtual doctor reports information by consulting the symptoms of the patients in a data processing center, and a symptom management scheme is provided for the patients by combining with the medical records of the hospital, so that the limitation of the medical time and region of the patients is broken through, and the problem of symptom management hysteresis is solved;
the virtual community platform comprises a virtual GPS positioning system which can be used for calculating the activity and the moving distance of a patient in one day, when the patient falls down or other accidents occur, the patient immediately dials a relative telephone to give an alarm, and the place information is reported to the nearest hospital; the optimal return path can be planned by one-key navigation.
The virtual community platform comprises an early warning prompt system, wherein the early warning prompt system carries out early warning prompt according to an alarm threshold value set by a patient basic disease, and simultaneously carries out sedentary prompt, drinking prompt, medicine taking prompt and regular on-time reminding for registering.
The virtual community platform comprises a data processing center, and the data processing center processes, classifies, processes and visualizes the data of the data acquisition module and the information reporting module and then transmits the data to the big data platform and the virtual hospital platform, and can generate a statistical chart according to the weekly/monthly/yearly time setting so as to intuitively display the health condition of a patient.
The virtual community platform comprises a display system, wherein the display system displays daily activity data and health data information of a patient; health management schemes and knowledge learning content; community interaction information; on-line inquiry information; early warning information, etc.
Further, the sensor is one of a six-axis inertial sensor, an acceleration sensor, a gyroscope sensor and an optical heart rate sensor, and supports iOS 9.0 and above of Android 6.0.
Further, the data transmission module transmits data through a wireless network or a Bluetooth module.
Compared with the prior art, the invention has the advantages that:
by adopting the technical schemes of the virtual community platform and the like, the invention relates to the patients, and the 'ancestor effect' is adopted to prompt the patients to carry out disease treatment and management, instead of only informing doctors, the patients can understand by themselves, the anti-cancer confidence of the patients can be enhanced, the communication of the 'medical care patients' is enhanced, the registration and regular chemotherapy of the patients are facilitated, and the medical staff can predict the problems of the patients in advance.
According to the invention, by a help system of the virtual community platform, patients with higher scores are led to voluntarily carry out homogeneous pairing according to the actual conditions of the patients: the method is characterized in that patients with similar diseases and better completion degree of intervention schemes and poor symptom control results are combined into a mutual assistance group with patients with low implementation progress, communication is carried out through a community interaction platform in a virtual community platform, curative effects are exchanged, mutual supervision, mutual reminding and mutual excitation are carried out, the intervention schemes are jointly promoted to be completed, the patients with low compliance are influenced through homogenization, the improvement of the overall symptom intervention level of the patients is finally promoted, the most attractive leaders are selected and rewarded each month, the patients are stimulated to assist others, the psychological states of the patients with low compliance can be known through communication, the 'assisting' people can report to local community hospitals, and the communities timely carry out psychological intervention.
According to the technical scheme, a detailed nursing inquiry platform can be built, nursing problems can be listed automatically according to the information provided by patient inquiry, nursing staff can arrange beds according to the information, corresponding nursing plans are prepared in advance, the first hospital admission comfort of a patient is improved, and the patient receives more specific and personalized nursing services. The connection among patients is constructed, so that the patients can be carried by hands together to resist cancers, and meanwhile, the correct scientific popularization, medical care answering and scientific research modules are connected, so that the rehabilitation of the patients is facilitated.
Drawings
FIG. 1 is a model diagram of a virtual community-based cancer patient health management platform;
FIG. 2 is a block diagram of a physician delivering a patient specific site;
FIG. 3 is a schematic diagram of an intelligent personalized recipe formulation;
FIG. 4 is a diagram of a risk prediction model based on machine learning;
FIG. 5 is a web page diagram of a risk prediction model;
fig. 6 is a schematic block diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The present invention will be described in detail with reference to the accompanying drawings.
The invention provides a cancer patient health management platform based on a virtual community in specific implementation, wherein the virtual community platform comprises a data acquisition module, the data acquisition module is an intelligent bracelet, and the intelligent bracelet acquires daily activity data and health data information of a patient through a sensor;
the virtual community platform comprises an information reporting module, wherein the information reporting module is connected with an AI robot to simulate human dialogue, guide a patient to upload symptom information in an interactive mode, and transmit and store the information in a data processing center;
the virtual community platform comprises a data transmission module, wherein the data transmission module is used for transmitting information acquired by the data acquisition module to a data processing center;
the data processing module can convert the collected patient data into a risk prediction model, comprises a cancer patient debilitation prediction model customized based on an R language machine algorithm (schematic diagram is shown in fig. 4, model webpage is shown in fig. 5), can advance the debilitation occurrence risk of a patient, advances a dry pre-dry mouth, and lightens the patient risk.
The virtual community platform comprises a big data platform which comprises a health management database, a psychological database, a nutrition database, a sports database, a health education database and the like, and provides proper health management scheme and knowledge learning content for patients;
the virtual community platform comprises a community interaction platform, the community interaction platform builds an exchange bridge among patients, anticancer experience and symptom management experience exchange can be carried out between the patients through characters, language, pictures and videos, and patient symptom management confidence and symptom management compliance are improved through 'lifetime effect' and 'heterogeneous assistance';
the virtual community platform comprises a virtual hospital platform, wherein the virtual hospital platform provides an online consultation path for patients, a virtual doctor reports information by consulting the symptoms of the patients in a data processing center, and a symptom management scheme is provided for the patients by combining with the medical records of the hospital, so that the limitation of the medical time and region of the patients is broken through, and the problem of symptom management hysteresis is solved;
the virtual community platform comprises a virtual GPS positioning system which is used for calculating the activity amount and the moving distance of a patient in one day, and when the patient falls down or other accidents occur, the patient immediately dials a relative telephone to give an alarm;
the virtual community platform comprises an early warning prompt system, wherein the early warning prompt system carries out early warning prompt according to an alarm threshold value set by a patient basic disease, and simultaneously carries out sedentary prompt, drinking prompt, medicine taking prompt and doctor-seeing registration prompt on the patient.
The virtual community platform comprises a data processing center, and the data processing center processes, classifies, processes and visualizes the data of the data acquisition module and the information reporting module and then transmits the data to the big data platform and the virtual hospital platform.
The virtual community platform comprises a display system, wherein the display system displays daily activity data and health data information of a patient; health management schemes and knowledge learning content; community interaction information; on-line inquiry information; early warning information, etc.
According to the invention, related information is acquired through the sensor, wherein the sensor is one of a six-axis inertial sensor, an acceleration sensor, a gyroscope sensor and an optical heart rate sensor, and Android 6.0 and above iOS 9.0 and above are supported. Because the database acquisition module is an intelligent bracelet, the intelligent bracelet can be used for sports punching card, running force index, maximum oxygen uptake, recovery time, training effect calculation, sedentary, drinking water, medicine taking reminding, GPS positioning, 5ATM water prevention and duration of 2 weeks.
Meanwhile, the multi-mode data which can be collected by the data collection module are as follows:
(1) Daily activities: including number of steps, GPS positioning distance, calories, activity time.
(2) Health data: the method can be used for detecting the health data, which is not limited to intelligent heart rate monitoring, blood oxygen automatic detection, body temperature detection, respiratory detection, pressure detection, blood pressure measurement, weight measurement, atrial fibrillation primary screening, premature beat screening, sleep apnea, sleep monitoring, respiratory training, pressure monitoring and physiological cycle.
1. The system also comprises a community interaction platform which can collect multi-mode data of characters, voices, pictures and videos of patients and store the multi-mode data in a data processing center.
(1) Wireless, bluetooth connectible, monitor patient's condition such as breathing, rhythm of the heart, blood pressure, weight, possess and take a photograph uploading function (for example skin allergy symptom).
(2) And (3) a robot: through natural language processing techniques in artificial intelligence, using smart phones or computer text or speech to simulate human conversations, a patient may interact with a robot to describe their symptoms, and the robot may then provide advice based on the patient's input and information to a healthcare worker.
(3) The system has the function of text and video chat, and can enable patients to communicate with each other so as to deepen trunking connection among the patients and improve social support.
(4) The mobile phone camera can be started to perform facial recognition and action recognition, and the AI motion module is embedded, so that the mobile phone camera is used as follows: fixing the mobile phone on one side of the field, properly setting the angle of the mobile phone, and adjusting the distance between the body and the mobile phone according to the automatic voice prompt until the human body is completely positioned in the identification frame, so that the exercise can be started, and the exercise is accumulated and ranked.
(5) An alarm threshold value can be set according to the basic disease of the patient (for example, the hypertension patient has a blood pressure alarm value that the systolic pressure is more than or equal to 149 mmHg).
(6) The system is provided with a GPS positioning system, and can calculate the activity amount and the moving distance of a patient in one day. If the patient falls down or other accidents, the patient immediately dials the relative telephone to alarm.
(7) Can remind the patient to sit for a long time, drink water, take medicine, visit and the like.
(8) All diagnosis and treatment records of the patient can be stored, and next appointment registration can be carried out.
Because of the specificity of cancer, patients often need medical intervention during the intermittent phase of chemotherapy, with self-organizing satisfaction questionnaires and interview summaries to collect feedback comments: and after the intervention period is finished, a popup window is formed in the virtual community, so that the patient and the intervention implementer are investigated, related feedback opinions are collected, and the intervention scheme is continuously perfected.
The "first admission comfort" program:
the platform is provided with a more detailed nursing inquiry platform, can automatically carry out the listing of nursing problems according to the information provided by a patient inquiry room (objective data such as gender, age, ethnicity, work unit, occupation and the like, subjective data such as hospitalization reasons, current physical conditions, rest, sleep, diet, excretion habits, past history, family history, allergy history, personal history, marital history and the like), and nursing staff can carry out bed arrangement according to the information, prepare corresponding nursing plans in advance, improve the 'first-time admission comfort' of the patient and enable the patient to receive more specific and personalized nursing services.
"imaging" inquiry:
the patient's inquiry via the internet has the following disadvantages: (1) the cultural-level underground patient can not accurately express the discomfort of the patient, and is easy to misdiagnose; (2) patient dysplasia is regional and verbal, and abnormal areas cannot be located quickly; (3) the typing speed of the patient is slow, the inquiry time is prolonged, for example, the patient can be hidden by the 'shame heart' of the patient when the inquiry is carried out by video.
Therefore, the platform is built with a human body whole body decomposition model (shown in figure 1), and aims to ensure that in the inquiry process, a doctor can quickly select uncomfortable parts, pain properties, pain levels and the like by sending the model of a specific part to a patient (shown in figure 2), so that the doctor can be helped to know the illness state of the patient more quickly and conveniently, and the influence on treatment due to poor information is avoided.
AI accompany diagnosis:
the first hospital admission of the patient is unfamiliar with the strange hospital area, and the patient blindly runs to the examination place in face of the examination receipt issued by the doctor, so that time and resources are wasted, the treatment progress is slowed down, and the medical satisfaction degree of the patient is reduced.
Therefore, the invention also comprises an AI accompanying technology which appears as an virtual nurse image, is connected with a hospital system and plans the optimal time and place arrangement for patients. The patient may also ask relevant precautions regarding the examination, such as whether he is empty, not able to wear metal clothing, etc., during the waiting time of the examination. To alleviate frustration and aversion in patient examination.
2. The system also comprises a virtual hospital platform, wherein the virtual hospital platform is in butt joint with the hospital HIS system, stores various detection results of patients and is used for patient profiling, medical records evaluation and service record viewing.
(1) The module can be in butt joint with a hospital HIS system to store various detection results of the patient.
(2) The intervention, questionnaire issuing and follow-up visit can be carried out on the patient at regular time, and the intervention scheme is adjusted by timely receiving feedback comments of the patient.
(3) Popular science materials (including text, short video, audio, etc.) can be pushed according to patient preference.
(4) The intervention enforcement nurse may enter the virtual community account to fill out the patient's condition at the time of the month of the hospital treatment to enrich the patient's multimodal data.
(5) Patient exercise ranking and patient work and rest law results can be seen, and meanwhile, a security level is set, so that patient privacy is prevented from being revealed.
Point rewarding mechanism: the task is used as a guide, and the point rewards are used as auxiliary materials, so that a patient can be started to spontaneously complete an intervention scheme, and the specific point scheme is as follows:
the first daily entry is 1 minute.
Reading an article (more than or equal to 2 min) with 1 score, sharing a science popularization article with 1 score, and obtaining 6 scores every day through the action.
Viewing science popularization video (. Gtoreq.2 min) integrates 2 points, and 6 points are available per day through the action.
Answering every day: answer questions for anticancer and control symptoms are fully integrated by 2 points, answer questions are not fully integrated by 1 point, and 6 points are obtained every day through the action.
Weekly answers: the answer is fully integrated for 6 points, the answer is not fully integrated for 3 points, and 6 points can be obtained every day at the highest.
Fueling thematic test for AI (once a month): the test is fully integrated by 10 points, the test is more than the test and the test is not fully integrated by 8 points, and the rest is not scored, so that the highest integrated performance can be obtained by 10 points per day.
Comment is made: an effective idea (word number > 10) is published with 1 point, and 5 points can be obtained every day.
An intervention section (5-10 min predicted) was completed: the integration is 2, and the highest integration is 8 per day.
The number of steps per day is 7000-10000 steps, and the integral is 3.
Note that: repeated learning of the same article/video, repeated answering and other actions do not obtain points.
The bonus points are ranked in the community every day, every week and every month, friends PK can be conducted, when the month score is more than or equal to 700 points, a preference bed (such as a window or a corridor) can be selected preferentially when chemotherapy is taken, and when the month score is more than or equal to 800 points, the treatment can be carried out preferentially, so that the patients can be stimulated to continuously use the virtual community.
The virtual community platform also has the following functions:
friend matching: self-portrayal can be performed according to personal characteristics of the patient, such as sports preference, character characteristics, life habits, and the like, and community activities can be performed according to the portrayal matching similar patients to initiate health management of the patients.
Guiding the doctor: the flow of the in-hospital consultation can be sent to the patient, so that the patient can make the consultation according to the flow, the expense generated by the patient can be inquired, and the consultation history is formed and can be referred by doctors.
Providing medical services: the health management scheme can be provided in the accessed health management library, psychological database and nutrition database according to the requirements of the user, and the health medical service can be provided. If the patient requires intervention, an intervention plan execution calendar may be generated for reference by the next follow-up visit.
Multiparty reminder: if the patient needs regular intervention or follow-up, the patient can be reminded in the form of public numbers, telephones, short messages or small programs.
Emergency pre-warning: if the patient suffers from cardiac arrest, apnea, car accident, wrestling, etc., the family members can be informed in time or the alarm can be given in time to inform medical staff.
Drug solution: based on the characteristics of the drug provided by the patient, the patient's medication plan is customized privately in combination with the basic information filled by the patient, solving the patient's problems, such as: information such as curative effect, dosage, usage amount, price and the like. And helps the patient record, including dosage, time of administration, duration of administration, and reminders.
Community sharing system:
the patient can share the anticancer feeling of himself by publishing words, pictures and videos for the AI oiling ring in the virtual community, meanwhile, science popularization articles or favorite music can be shared to the AI oiling ring by other software, and other patients can comment or praise on the newly issued dynamic state of friends so as to improve the social support of the patient.
Community assistance system:
the 'help' matching is carried out according to the integral of the patient, and the patient with higher integral is led to voluntarily carry out the homogeneous variant pairing according to the actual condition of the patient: the method is characterized in that patients with similar diseases and better completion degree of intervention schemes and poor symptom control results are combined into a mutual assistance group with patients with low implementation progress, communication is carried out through a community interaction platform, treatment effects are exchanged, mutual supervision, mutual reminding and mutual excitation are carried out, the intervention schemes are promoted to be completed together, the patients with lower compliance are influenced through homogenization, the improvement of the overall symptom intervention level of the patients is finally promoted, the most attractive leaders are selected and rewarded monthly, the patients are stimulated to assist others, the psychological states of the patients with low compliance can be known through communication, the 'helping' people can report to local community hospitals, and the communities can carry out psychological intervention timely.
3. AI pre-consultation and psychological assessment:
the platform has a more specialized medical consultation AI, after a patient presets an expert consultation, the patient firstly enters the AI pre-consultation, the AI acquires patient information in a one-to-one mode, and performs integrated analysis on a database, extracts keywords and presents the keywords to the expert, and the expert quickly knows the condition of the patient through the keywords so as to help the expert deeply dig the key point of the illness state. The method effectively improves the accuracy of the inquiry and reduces the inquiry time so as to improve the inquiry efficiency. After the condition keywords are integrated, the AI sends out a simple psychological assessment scale to the patient, the completion scale can provide 10 integration, after the completion scale, the AI calculates scale scores, the psychological state of the patient is analyzed and presented to an expert, psychological intervention can be given if necessary, and the diagnosis and treatment quality of the patient is improved.
Personalized recipes:
the platform database records the nutrition component content, calories and the like of each food material, the optimal food material is bound for each disease, the food material composition ratio and quality are calculated according to basic information of a patient, after the patient finishes basic information recording and inquiry, an expert terminal can present the basic information recording and inquiry to the database by selecting disease keywords, the database searches and derives corresponding food material information according to the keywords, and the patient can conduct diet management by deriving recipes. And can take a picture to share and acquire the integral of the community, share and acquire 0.1 integral each praise. The disease enters from the mouth, and the function can help patients to adjust the nutrition structure so as to eat and nourish the disease.
4. Privacy protection function:
the collected patient data is ranked, for example: low security-all can be opened, high security-no person or entity is accessible except for special approval. The specific security management module needs defending software such as anticreeper, worm, hacker and the like and security software such as dynamic password and the like to ensure the data security of the comprehensive health care medical sub-database.
By adopting the technical scheme, the invention can realize the following effects:
1. the innovation point of the virtual community is that the patient can communicate, and an online intervention community is established, so that the medical care patient can be conveniently helped.
2. The medical care problem solving module is added, so that the condition that a patient fails to get down when the patient has a health problem in the intermittent period of disease treatment can be reduced, and the speed of solving the health problem and the prejudgment effect are improved.
3. The multi-mode information such as voice, video, pictures and characters is adopted for evaluation, so that time and resources can be saved, the limitation of time and space is broken through, the patient can feed back the problems in time conveniently, and the medical care can answer the problems of the patient flexibly according to the time arrangement.
4. The human body is virtually modeled, so that the discomfort of the human body can be accurately expressed when the patient makes a consultation, the consultation time and ineffective consultation can be reduced, and the misdiagnosis rate is reduced.
5. The platform builds the optimal diet of the patient according to the nutrition, intervenes from the basic living habit of the patient, changes the nutrition structure of the patient, promotes the body to recover quickly, and reduces or controls the occurrence of chronic diseases.
As a further elaboration of the invention, the data transmission module performs data transmission through a wireless network or a bluetooth module.
As a further illustration of the present invention, the daily activity data information includes steps, GPS location distance, calories and time of activity.
The invention and its embodiments have been described above with no limitation, and the actual construction is not limited to the embodiments of the invention as shown in the drawings. In summary, if one of ordinary skill in the art is informed by this disclosure, a structural manner and an embodiment similar to the technical solution should not be creatively devised without departing from the gist of the present invention.
Claims (8)
1. Cancer patient health management platform based on virtual community relates to virtual community technical field. The virtual community platform comprises a data acquisition module, an information reporting module, a data transmission module, a big data platform, a community interaction platform, a virtual hospital platform, a GPS positioning system, an early warning prompt system, a data processing center and a display system.
The data acquisition module is an intelligent bracelet, and the intelligent bracelet acquires daily activity data and health data information of a patient through a sensor;
the information reporting module is connected with the AI robot to simulate human dialogue, guide the patient to upload symptom information in an interactive mode, and transmit and store the information in the data processing center;
the data transmission module is used for transmitting the information acquired by the data acquisition module to the data processing center;
the big data platform comprises a health management database, a psychological database, a nutrition database, a sports database, a health education database and the like, and provides proper health management scheme and knowledge learning content for patients;
the community interaction platform builds a communication bridge among patients, the patients can communicate anticancer experience and symptom management experience through characters, language, pictures and videos, and the symptom management confidence and the symptom management compliance of the patients are improved through 'lifetime effect' and 'heterogeneous assistance';
the virtual hospital platform provides an online consultation way for the patient, and the virtual doctor provides a symptom management scheme for the patient by consulting the information reported by the symptoms of the patient in the data processing center and combining with the medical records of the hospital, so that the regional limit of the time of the patient to seek medical treatment is broken through, and the problem of symptom management hysteresis is solved;
the virtual GPS positioning system is used for calculating the activity amount and the moving distance of a patient in one day, and when the patient falls down or other accidents, the virtual GPS positioning system immediately dials a relative telephone to give an alarm and reports the place information to the nearest hospital; the optimal return path can be planned by one-key navigation.
The early warning prompt system carries out early warning prompt according to an alarm threshold value set by a patient basic disease, and simultaneously carries out sedentary prompt, drinking prompt, medicine taking prompt and regular on-time visit registration prompt on the patient.
The data processing center processes, classifies, processes and visualizes the data of the data acquisition module and the information reporting module and then transmits the data to the big data platform and the virtual hospital platform.
The data processing module can convert collected patient data into a risk prediction model, comprises a cancer patient debilitation prediction model customized based on an R language machine algorithm, can advance the debilitation occurrence risk of a patient, advances an intervention gateway, and lightens the risk of the patient.
The display system displays daily activity data and health data information of the patient; health management schemes and knowledge learning content; community interaction information; on-line inquiry information; early warning information, etc.
2. The virtual community-based cancer patient health management platform of claim 1, wherein: the sensor is one of a six-axis inertial sensor, an acceleration sensor, a gyroscope sensor and an optical heart rate sensor, and supports iOS of 6.0 and above and iOS of 9.0 and above.
3. The virtual community-based cancer patient health management platform of claim 1, wherein: the data transmission module is used for transmitting data through a wireless network or a Bluetooth module.
4. The virtual community-based cancer patient health management platform of claim 1, wherein: the daily activity data information includes a number of steps, a GPS positioning distance, calories, and an activity time.
5. The virtual community-based cancer patient health management platform of claim 1, wherein: the health data detection is not limited to intelligent heart rate monitoring, blood oxygen automatic detection, body temperature detection, respiration detection, pressure detection, blood pressure measurement, body weight measurement, atrial fibrillation primary screening, premature beat screening, sleep apnea, sleep monitoring, respiration training, pressure monitoring and physiological cycle.
6. The virtual community-based cancer patient health management platform of claim 1, wherein: the information reporting module is provided with an AI robot, human dialogue is simulated by using a smart phone or computer text or voice through a natural language processing technology in artificial intelligence, a patient can interact with the robot to describe symptoms of the patient, and the robot can provide advice according to the input of the patient, transmit and store information to a data processing center and carry out AI accompanying diagnosis and risk prediction.
7. The virtual community-based cancer patient health management platform of claim 1, wherein: the community interaction platform can collect multi-mode data of characters, voice, pictures and videos of patients and store the multi-mode data in the data processing center.
8. The virtual community-based cancer patient health management platform of claim 1, wherein: the virtual hospital platform is in butt joint with the hospital HIS system, stores various detection results of patients and is used for patient profiling, medical records evaluation and service record checking.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311584275.XA CN117558468A (en) | 2023-11-25 | 2023-11-25 | Cancer patient health management platform based on virtual community |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311584275.XA CN117558468A (en) | 2023-11-25 | 2023-11-25 | Cancer patient health management platform based on virtual community |
Publications (1)
Publication Number | Publication Date |
---|---|
CN117558468A true CN117558468A (en) | 2024-02-13 |
Family
ID=89821567
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311584275.XA Pending CN117558468A (en) | 2023-11-25 | 2023-11-25 | Cancer patient health management platform based on virtual community |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN117558468A (en) |
-
2023
- 2023-11-25 CN CN202311584275.XA patent/CN117558468A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20220238222A1 (en) | Remote health monitoring system and method for hospitals and cities | |
DE60115234T2 (en) | SYSTEM FOR MONITORING HEALTH, WELL-BEING AND FITNESS | |
US11253188B2 (en) | Means and methods for personalized behavioral health assessment system and treatment | |
KR101107062B1 (en) | System for monitoring and managing body weight and other physiological conditions including iterative and personalized planning, intervention and reporting capability | |
KR20200038628A (en) | Apparatus and method for providing personalized medication information | |
US20210375423A1 (en) | Method and system for remotely identifying and monitoring anomalies in the physical and/or psychological state of an application user using baseline physical activity data associated with the user | |
US20210358628A1 (en) | Digital companion for healthcare | |
Nordfeldt et al. | Short‐term effects of severe hypoglycaemia in children and adolescents with type 1 diabetes. A cost‐of‐illness study | |
US11610663B2 (en) | Method and system for remotely identifying and monitoring anomalies in the physical and/or psychological state of an application user using average physical activity data associated with a set of people other than the user | |
JP2001258857A (en) | Medical information system | |
CN110459311B (en) | Medicine taking reminding system and method for remotely monitoring medicine taking of patient | |
CN110706820A (en) | Old people health service virtual community system based on big data technology | |
WO2021243240A1 (en) | Method and system for remotely monitoring the physical and psychological state of an application user using altitude and/or motion data and one or more machine learning models | |
TW202202123A (en) | Medication Reminding and Reporting System and Method | |
CN110491458A (en) | A kind of hypertension nursing system and method | |
Takács et al. | A mobile system for assisted living with ambient facial interfaces | |
CN117558468A (en) | Cancer patient health management platform based on virtual community | |
Peng et al. | Identifying user requirements of wearable healthcare technologies for Chinese ageing population | |
CN110517764B (en) | Telemedicine system and method for providing continuous coronary heart disease care | |
Benassi et al. | A wize mirror for lifestyle improvement | |
US20150058043A1 (en) | Systems and methods for a rehabilitation dashboard | |
US20220180980A1 (en) | Telemedicine methods for management of a health condition | |
US11783723B1 (en) | Method and system for music and dance recommendations | |
Castledine et al. | Oxford handbook of adult nursing | |
Toomer-Mensah | Defining & Measuring Physical Activity in Children with Cerebral Palsy who are non-ambulatory at GMFCS levels IV & V |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |