CN110415778B - A method and system for personal health data management based on cloud data - Google Patents
A method and system for personal health data management based on cloud dataDownload PDFInfo
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- CN110415778B CN110415778BCN201910718268.1ACN201910718268ACN110415778BCN 110415778 BCN110415778 BCN 110415778BCN 201910718268 ACN201910718268 ACN 201910718268ACN 110415778 BCN110415778 BCN 110415778B
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- 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
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
Translated fromChinese
Description
Technical Field
The invention relates to the technical field of intelligent medical treatment, in particular to a personal health data management method and system based on cloud data.
Background
In the prior art, for example, a nurse in a hospital describes a series of physiological indexes such as blood pressure, body temperature, pulse, blood sugar and the like of inpatients by curves every day for doctors to refer to; there are also commercially available instruments such as a multi-clock sphygmomanometer and a blood glucose meter, which are provided to link daily measurement values into a continuous curve. There are significant problems including:
(1) the physiological curve description can not be continued after the patient in the hospital is discharged;
(2) the commercially available instruments are independent, and various physiological cannot be stored according to the instruments;
(3) the subjective symptoms of the concerned people and other various discomforts cannot be recorded effectively in time.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to overcome the defects in the prior art, and provides a personal health data management method and system based on cloud data, which are convenient for medical staff to check patients in time and supervise the physical conditions of the patients and are also convenient for the recording of the physical health conditions of the patients.
The invention discloses a personal health data management method based on cloud data, which comprises the following steps:
newly adding personal health medical data and uploading the data to a first server;
constructing a personal health database based on the personal health medical data stored by the first server, and generating an access restriction index number based on the constructed personal health database;
and judging disease symptoms based on the constructed personal health database, and giving an alarm for patient information based on the index number personal information if abnormal index data occurs in the personal health database.
As a further optimization of the above scheme, the method further comprises:
and newly adding medical record data and uploading the medical record data to a second server.
As a further optimization of the above scheme, the personal health medical data includes subjective entry data and passive acquisition data:
passively collecting data, namely data generated by measuring instruments aiming at users based on modern medical instruments;
and the subjective entry data is data generated by subjectively describing symptoms appearing on the body and carrying out symptom entry based on the description of traditional medicine.
As a further optimization of the above scheme, the personal health database extracts physiological and biochemical index data and symptom description contained in the medical data based on the newly-added recorded personal health medical data, and draws a statistical chart based on the extracted index data and symptom description data.
As a further optimization of the above scheme, the statistical graph comprises a polyline statistical graph and a histogram statistical graph:
the broken line statistical chart is based on physiological and biochemical index data, and aiming at any index data, the horizontal axis is set as input time t, the vertical axis is set as index data value h, and the broken line statistical chart is setMaximum effective value h of index data1With the minimum effective value h2Marking the time and the data value of the index data which is input once, and connecting the positions of all the marked and input index data;
the histogram is based on symptom description, the horizontal axis is set as time T, the vertical axis is set as the intensity expression value of any symptom, and the width of the bottom of any column is set as duration T.
As a further optimization of the above scheme, the entry mode of the statistical chart comprises the following steps:
dividing functional areas according to human body structure characteristics;
setting a functional area as a unit body, and marking the organ contained in each unit body;
symptom enumeration is performed based on any organ that is labeled, and attributes are labeled for categories of symptom enumeration, respectively.
As further optimization of the scheme, the method for carrying out disease inspection based on newly added personal health medical data comprises the following specific steps:
accessing the first server, acquiring newly added personal health data of the personal health database, and updating data of the statistical chart according to the newly added data time as a reference;
patrolling based on a broken line statistical chart drawn by physiological and biochemical index data of the personal health database;
if the detected numerical value of the newly added personal health data which is not marked is within the preset effective range, namely the index is normal, marking the newly added personal health data, and performing next index inspection;
if the detected numerical value of the newly added personal health data which is not marked is not in the preset effective range, namely the index is abnormal, storing the abnormal numerical value and the abnormal image of the current abnormal index to a second server;
repeating the operation until all newly added personal health data which are not marked are patrolled, finishing the patrolling of the personal health data, and jumping to a second server;
acquiring medical record data of the second server, performing comprehensive data statistical analysis on the medical record data through pathological logic based on abnormal numerical values and abnormal images of the personal health data routing inspection, recording matched similar case data, acquiring information of target personnel according to the index number of the access limit of the personal health database, and sending an alarm of disease symptoms.
The invention also discloses a personal health data management system based on the cloud data, which comprises the following steps: the system comprises a client and a server, wherein the client is used for acquiring and inputting equipment of the personal health data management system and comprises a data input module and an image display module; the server side is used for storing personal health medical data and medical record newly-added data, and comprises an alarm module, a first server and a second server, wherein the server side specifically comprises the following components:
the data entry module is used for newly adding personal health medical data and uploading the data to the first server, and is also used for newly adding medical record data and uploading the medical record data to the second server;
the image display module is used for displaying a statistical chart of the index data and also used for displaying a symptom data input image;
the alarm module is used for giving an alarm to the patient information when abnormal index data appear in the personal health database;
the first server is used for storing the newly added personal health medical data;
the second server is used for storing newly added medical record data;
as a further optimization of the above scheme, the data entry module includes a subjective entry unit and a passive acquisition unit:
the passive acquisition unit is used for acquiring data generated by instrument measurement performed by a user based on an instrument of modern medicine;
and the subjective entry unit is used for carrying out entry on data generated by subjectively describing symptoms appearing on the body and carrying out entry on the symptoms based on the description of traditional medicine.
As a further optimization of the above scheme, the server further includes a statistical chart drawing module, which is used for extracting physiological and biochemical index data and symptom description contained in the medical data for statistical chart drawing based on the newly-entered personal health medical data.
As a further optimization of the above scheme, the statistical graph comprises a polyline statistical graph and a histogram statistical graph:
by adopting the technical scheme, compared with the prior art, the personal health data management method and system based on the cloud data have the following technical effects:
1. according to the personal health data management method based on the cloud data, disclosed by the invention, the personal health medical data are newly added and uploaded synchronously by the user, the personal health database is constructed based on the cloud-side synchronous data, the disease condition symptom judgment is carried out aiming at the personal health database, the system management of the user aiming at the personal health is facilitated, the limitation of the traditional hospital or instrument equipment is broken through, and the comprehensive physiological data supervision is realized.
2. According to the personal health data management method based on the cloud data, disclosed by the invention, the display and the record of the broken line statistical chart based on the server end are convenient for medical staff to effectively master the historical treatment process of the patient, and meanwhile, an effective basis is provided for the subsequent treatment.
3. According to the personal health data management method based on the cloud data, disclosed by the invention, based on the set entry mode of the statistical chart, the operation threshold of personal health data record is reduced, so that a user can independently describe and enter physical symptoms in a non-medical environment, the historical health information sample of a system platform is increased, and effective reference information is provided for the treatment of later-stage patients; meanwhile, potential disease characteristics of the user can be intelligently judged through symptom information and index data recorded by the user, and the treatment possibility probability of patients is enhanced.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a schematic flow chart of a personal health data management method based on cloud data according to the present invention;
fig. 2 is a schematic diagram of a statistical chart entry of a cloud data-based personal health data management method according to the present invention;
FIG. 3 is a histogram illustrating a disease state of a cloud-based personal health data management method according to the present invention;
FIG. 4 is a schematic view of a disease broken line of a cloud data-based personal health data management method according to the present invention;
FIG. 5 is a comprehensive schematic diagram of traditional medicine and modern medicine of a cloud data-based personal health data management method of the present invention;
fig. 6 is a disease entry diagram of a cloud data-based personal health data management method according to the present invention;
fig. 7 is another disease entry diagram of the cloud data-based personal health data management method according to the present invention;
fig. 8 is another disease entry diagram of a cloud data-based personal health data management method according to the present invention;
fig. 9 is a schematic diagram illustrating a disease inspection process of the cloud data-based personal health data management method according to the present invention;
FIG. 10 is a block diagram of a cloud data based personal health data management system according to the present invention;
FIG. 11 is a diagram of a client architecture of a cloud data based personal health data management system in accordance with the present invention;
fig. 12 is a server-side configuration diagram of a personal health data management system based on cloud data according to the present invention;
fig. 13 is a data entry module structure diagram of a personal health data management system based on cloud data according to the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1 to 13, an embodiment of the present invention discloses a personal health data management method based on cloud data, including the following steps:
s100, newly adding personal health medical data and uploading the data to a first server;
specifically, the personal health medical data of the embodiment includes subjective entry data and passive acquisition data:
passively collecting data, namely data generated by measuring instruments aiming at users based on modern medical instruments;
subjective entry data, which is data generated by subjectively describing symptoms appearing on a body and entering the symptoms based on the description of traditional medicine;
more specifically, the personal health medical data of the embodiment of the present invention includes vital sign parameters, specifically including respiratory rate, blood pressure value, blood oxygen concentration value, body temperature value, heart rate, electrocardiogram, pulse rate, sleep, blood sugar value, work and rest or weight, and other vital sign parameters having significant influence;
s200, constructing a personal health database based on the personal health medical data stored in the first server, and generating an access restriction index number based on the constructed personal health database;
specifically, the personal health database extracts physiological and biochemical index data and symptom description contained in medical data based on the newly-added recorded personal health medical data, and draws a statistical chart based on the extracted index data and symptom description data;
the statistical chart comprises a broken line statistical chart and a column statistical chart:
the broken line statistical chart is based on physiological and biochemical index data, the horizontal axis is set as input time t and the vertical axis is set as index data value h aiming at any index data, and the maximum effective value h based on the physiological and biochemical index data is set1With the minimum effective value h2Measurement index data l of arbitrary numbernCorresponding time of tnN belongs to N, and all the measurement index data are sequentially connected according to the measurement time to form a continuous broken line; based on the measurement time of any time, the medical intervention time is highlighted by adopting a thickened line, so that the medical intervention result can be conveniently and visually seen on a broken line statistical chart, and the medical intervention result can be conveniently and visually seenThe subsequent medical treatment scheme can be conveniently formulated;
the bar-shaped statistical graph is based on symptom description, a horizontal axis is set as time T, a vertical axis is set as an intensity expression value of any symptom, and the width of the bottom of any bar shape is set as duration time T; referring to FIG. 3, the horizontal axis t is time, respectively at t1And t2Sample collection is performed at time t1And t2Within the interval range, the wider the bottom of different symptoms described by the user, the longer the duration; the higher the height, the stronger the effect of the disorder; the embodiment also adopts character symptom description in the columnar shadow area; it should be noted that the histogram of the present embodiment can be displayed by combining a plurality of different symptoms, and also supports a single symptom display; in this embodiment, different symptoms are represented by different columnar background lines.
Specifically, a maximum effective value h is set1With the minimum effective value h2For the limit value of the blood glucose value, curve l is the connecting line of all the index data recorded by the markers and is respectively at t1And t6Medical intervention is carried out at any moment; as shown in FIG. 4, initially the blood glucose level is high, at t1The medical intervention is carried out at the moment, and the blood sugar passes through t1～t6Hypoglycemia occurs after a period of time; at t6Carrying out medical intervention and adjustment on blood sugar, and restoring the blood sugar value to be normal until t10The time gradually becomes stable; based on the display and record of the broken line statistical chart, medical staff can effectively master the historical treatment process of the patient conveniently, and effective basis of subsequent treatment is provided;
based on fig. 3 and 4, and in particular as shown in fig. 5, a physiological and biochemical index data broken line statistical chart of modern medicine and a histogram statistical chart drawn by traditional medicine based on symptom characterization entry data of symptoms are unified, namely, specific t is aimed at1And t2At any moment, specific numerical values of certain indexes in the time period are inquired, accompanying symptom descriptions are displayed in the time period, and based on rigorous index parameters and accompanying concurrent symptoms of modern medicine, the method has positive effects on the accurate diagnosis and treatment of patients by medical staff, improves the preventable probability of diseases, and strengthens the advance of the patientsOne-step supervision treatment;
more specifically, the entry mode of the statistical chart comprises the following steps:
dividing functional areas according to human body structure characteristics;
setting a functional area as a unit body, and marking the organ contained in each unit body;
performing symptom enumeration based on any organ marked, and respectively marking attributes aiming at categories of the symptom enumeration;
it should be noted that the entry modes of the statistical chart in the embodiment of the present invention include, but are not limited to, voice entry and touch screen entry, and the attribute labels performed based on the symptom listing categories include start time, duration, past history of symptoms, past treatment process, medication name, medication duration, treatment effect, and geographic environment and temperature and humidity during the symptom duration;
as shown in fig. 5-7, in the present embodiment, the human body structural features are preferably divided into functional regions including a head, a chest, an abdomen, and the like, and based on the set unit bodies, image markers are performed on organs included in each unit body, such as eyes, ears, a nose, a mouth, and the like of the head; setting each organ as a basic unit, wherein each basic unit corresponds to a plurality of different symptoms, and the plurality of different symptoms comprise starting time, duration, symptom history, previous diagnosis process, basic treatment process and effect;
more specifically, the user a feels headache, selects the head of the functional area by using the touch screen, that is, displays the enlarged head image to the display area, and displays details of the eye by touching a specific organ of the head, such as the eye, in the display area, optionally, the user a further performs interface jump by clicking a functional button; the user A carries out interface description on the headache symptoms, simultaneously marks symptom attributes based on a touch screen, and records the symptom description, the starting time, the duration, the historical headache record of the user A, the symptom confirmation of doctor's visit, the drug name of drug treatment, the medication duration, the effect after treatment, and the living environment during illness, such as temperature and humidity;
by the aid of the set statistical chart input mode, the operation threshold of personal health data records is lowered, a user can independently describe and input body symptoms in a non-medical environment conveniently, historical health information of a system platform is increased, and effective reference information is provided for treatment of later-stage patients; meanwhile, the potential disease characteristics of the user can be intelligently judged through the symptom information and index data recorded by the user, so that the treatment possibility probability of patients is enhanced;
s300, judging disease symptoms based on the constructed personal health database, and giving an alarm for patient information based on index number personal information if abnormal index data occurs in the personal health database;
specifically, the disease condition inspection steps comprise the following steps:
accessing the first server, acquiring newly added personal health data of the personal health database, and updating data of the statistical chart according to the newly added data time as a reference;
patrolling based on a broken line statistical chart drawn by physiological and biochemical index data of the personal health database;
if the detected numerical value of the newly added personal health data which is not marked is within the preset effective range, namely the index is normal, marking the newly added personal health data, and performing next index inspection;
if the detected numerical value of the newly added personal health data which is not marked is not in the preset effective range, namely the index is abnormal, storing the abnormal numerical value and the abnormal image of the current abnormal index to a second server;
repeating the operation until all newly added personal health data which are not marked are patrolled, finishing the patrolling of the personal health data, and jumping to a second server;
acquiring medical record data of a second server, matching the medical record data based on abnormal numerical values and abnormal images of the personal health data polling, recording matched similar case data, acquiring information of a target person according to a limited access index number of a personal health database, and sending an alarm of disease symptoms;
more specifically, as shown in fig. 8, in the present embodiment, preferably, a health patrol of physiological and biochemical index data of the personal health database is performed, and by obtaining a blood glucose broken line statistical chart of the personal health database, a detected value is normal, and a blood glucose value at the current stage is marked to be normal; continuing to carry out numerical inspection on the blood pressure value, and pushing the partial high blood pressure value and the blood pressure broken line statistical chart in the current stage to a second server for storage when detecting that the blood pressure value is higher (or lower); then, the recent numerical values such as environment, emotion, electrocardiogram and the like are sequentially searched for inspection, and the inspection range and principle are based on pathological logic and symptom-related pathological factors in the aspect of medicine; such as hypertension, which may be hypertensive disease, renal disease may also cause renal hypertension, etc.;
if the inspection result has no other related abnormity, the inspection of all the newly added unmarked personal health data in the current stage is ended, but the blood pressure value is paid attention in the subsequent inspection, and if the blood pressure value is higher for a long time, the pathological change of the hypertension is prompted;
matching the similarity of the medical record data with lower blood sugar based on the medical record data uploaded by the medical staff and the abnormal numerical value and the abnormal image of the abnormal index temporarily stored in the inspection process, which are stored by the second server; after complete matching, medical staff track the information of patients through the alarm information of illness state matching pushed by the personal health database and the access limiting index number;
it should be noted that the patient index number is a distinct number generated based on the personal health database, information such as a user name, an access restriction index number, an identification card number, a contact way, a home address, a treatment record, a personal health condition, a personal behavior condition and the like is all recorded in the first server, and medical staff quickly address personal information of the patient based on the access restriction index number;
specifically, the method further comprises adding new medical record data and uploading the medical record data to a second server;
it should be noted that the medical record data can be recorded on line by other authoritative or qualified medical group personnel such as a hospital treatment system, social medical personnel organization and the like;
the embodiment of the invention also discloses a personal health data management system based on the cloud data, which comprises the following steps: the system comprises a client and a server, wherein the client is used for acquiring and inputting equipment of a personal health data management system and comprises adata input module 100 and animage display module 200; the server is used for storing personal health medical data and medical record newly added data, and comprises analarm module 300, afirst server 400 and asecond server 500, and the specific steps are as follows:
thedata entry module 100 is used for newly adding personal health medical data, uploading the data to a first server, and also used for newly adding medical record data, and uploading the medical record data to a second server;
theimage display module 200 is used for displaying a statistical chart of index data and also for displaying a symptom data entry image;
thealarm module 300 is used for giving an alarm to the patient information when abnormal index data occurs in the personal health database;
afirst server 400 for storing the newly added personal health medical data;
thesecond server 500 is used for storing newly added medical record data;
thedata entry module 100 includes a subjective entry unit and a passive acquisition unit:
apassive acquisition unit 110, configured to acquire data generated by a user performing an instrument measurement based on a modern medical instrument;
and thesubjective entry unit 120 is used for entering data generated by subjectively describing symptoms appearing on the body and entering the symptoms based on the description of traditional medicine.
The server side further comprises a statisticalchart drawing module 600, which is used for extracting physiological and biochemical index data and symptom description contained in the medical data for statistical chart drawing based on the newly-entered personal health medical data.
Specifically, medical staff or other authoritative or qualified medical group staff upload medical records to the second server, and the medical staff track diseases of patients based on personal health records recorded and synchronized by users; meanwhile, the patient is instructed to check the disease based on the abnormal physical sign data recorded by thealarm module 300 at the server, and the system further integrates the abnormal physical sign data and the historical medical record data through the historical medical record data uploaded by the medical staff at the second server, so that the current disease diagnosis and treatment of the patient can be effectively carried out by acquiring the historical personal health medical data stored by thefirst server 400 and combining the personal historical treatment (medical history) record and the historical treatment medication.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by a person skilled in the art that the scope of the invention as referred to in the present application is not limited to the embodiments with a specific combination of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (6)
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| TW201108144A (en)* | 2009-08-19 | 2011-03-01 | Aescu Technology | Remote healthcare method for measuring physiological parameter and reporting self-perceived health status |
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| CN103905549A (en)* | 2014-03-28 | 2014-07-02 | 成都悦图科技有限公司 | System and method for health management based on internet of things and cloud computing |
| CN105260588A (en)* | 2015-10-23 | 2016-01-20 | 福建优安米信息科技有限公司 | Health protection robot system and data processing method thereof |
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