CN117789953A - Health data management method and system - Google Patents
Health data management method and system Download PDFInfo
- Publication number
- CN117789953A CN117789953A CN202410204863.4A CN202410204863A CN117789953A CN 117789953 A CN117789953 A CN 117789953A CN 202410204863 A CN202410204863 A CN 202410204863A CN 117789953 A CN117789953 A CN 117789953A
- Authority
- CN
- China
- Prior art keywords
- information
- user
- health data
- data
- hospital
- 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 148
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000013523 data management Methods 0.000 title claims abstract description 19
- 238000003745 diagnosis Methods 0.000 claims abstract description 82
- 230000035935 pregnancy Effects 0.000 claims abstract description 68
- 230000002159 abnormal effect Effects 0.000 claims description 50
- 238000004422 calculation algorithm Methods 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 13
- 238000009597 pregnancy test Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 8
- 239000011159 matrix material Substances 0.000 claims description 5
- 239000003814 drug Substances 0.000 claims description 4
- 230000008774 maternal effect Effects 0.000 claims description 4
- 229940079593 drug Drugs 0.000 claims description 3
- 210000000056 organ Anatomy 0.000 claims description 3
- 238000002560 therapeutic procedure Methods 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 10
- 238000012384 transportation and delivery Methods 0.000 abstract description 8
- 210000004369 blood Anatomy 0.000 description 5
- 239000008280 blood Substances 0.000 description 5
- 238000006243 chemical reaction Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 5
- 230000001360 synchronised effect Effects 0.000 description 5
- 208000007502 anemia Diseases 0.000 description 3
- 239000000872 buffer Substances 0.000 description 3
- 238000007689 inspection Methods 0.000 description 3
- 210000002700 urine Anatomy 0.000 description 3
- 208000037280 Trisomy Diseases 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 210000003743 erythrocyte Anatomy 0.000 description 2
- 208000011580 syndromic disease Diseases 0.000 description 2
- PROQIPRRNZUXQM-UHFFFAOYSA-N (16alpha,17betaOH)-Estra-1,3,5(10)-triene-3,16,17-triol Natural products OC1=CC=C2C3CCC(C)(C(C(O)C4)O)C4C3CCC2=C1 PROQIPRRNZUXQM-UHFFFAOYSA-N 0.000 description 1
- 101000848653 Homo sapiens Tripartite motif-containing protein 26 Proteins 0.000 description 1
- 206010000210 abortion Diseases 0.000 description 1
- 231100000176 abortion Toxicity 0.000 description 1
- 210000001124 body fluid Anatomy 0.000 description 1
- 239000010839 body fluid Substances 0.000 description 1
- 229960004407 chorionic gonadotrophin Drugs 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- PROQIPRRNZUXQM-ZXXIGWHRSA-N estriol Chemical compound OC1=CC=C2[C@H]3CC[C@](C)([C@H]([C@H](O)C4)O)[C@@H]4[C@@H]3CCC2=C1 PROQIPRRNZUXQM-ZXXIGWHRSA-N 0.000 description 1
- 229960001348 estriol Drugs 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 210000003754 fetus Anatomy 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 102000046101 human AFP Human genes 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000005906 menstruation Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
Abstract
The invention is suitable for the technical field of data processing, and provides a health data management method and system, the method is characterized in that unqualified health data are analyzed, corresponding diagnosis and treatment information is output according to different types of unqualified health data, and when diagnosis and treatment information is displayed, hospitalization is needed, and a user agrees to hospitalize, information of a hospital closest to the user is acquired according to the information of the user, and when the user selects and confirms the hospital, registration information of the hospital is pushed to the user, on one hand, a doctor for delivery is not required to analyze a pregnancy result manually, on the other hand, the user is not required to queue to consult with the doctor for delivery, the problem of high sitting strength of the doctor for delivery is solved, the problem of long waiting time of a pregnant woman is solved, the problem that the user is unfamiliar with a hospitalization process is solved by automatically pushing hospitalization information and registration information, the working strength of the doctor for delivery is further reduced, the whole pregnancy process of the user is greatly facilitated, and the method is intelligent, high-efficiency and humanized.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a health data management method and system.
Background
The publication number CN104809590B discloses an intelligent cloud synchronous medical information sharing system, which mainly comprises a data reading and storing subsystem, a data local sharing subsystem, a data cloud synchronous subsystem, a terminal sharing subsystem and a diagnosis and treatment card binding subsystem, wherein an internal database and an external database are adopted, the data reading and storing subsystem and the data local sharing subsystem are used for carrying out data conversion and interaction through the internal database, data in the internal database are processed through the data cloud synchronous subsystem and then are used for storing inspection, inspection reports and image data in the external database, the terminal sharing subsystem is used for obtaining the data through the external database, and the diagnosis and treatment card binding subsystem is used for realizing diagnosis and treatment card binding by calling user data in the internal database and registered users in the terminal sharing subsystem. The cloud synchronization function of the system can realize the rapid sharing of medical information to patients, and meanwhile, the system has reliable safety performance.
The above scheme also has the following defects: when pregnant women are in physical examination, on one hand, a pregnant woman needs to manually analyze the pregnant woman examination result, on the other hand, a user needs to queue up to consult with the pregnant woman, so that the problems of high sitting strength of the pregnant woman and inconvenience in pregnant woman examination are caused, and when the pregnant woman needs to be in hospital, the user is unfamiliar with the problem of hospitalization flow, and can not conveniently register for hospitalization.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a health data management method and a health data management system so as to solve the problems existing in the background art.
The invention is realized in that a method for health data management comprises the steps of:
receiving health data sent by a medical equipment terminal, and marking medical institution information, user information and time information on the health data;
judging whether the health data is qualified or not, and outputting a judging result:
when the health data are qualified, outputting next pregnancy time and pregnancy notice information according to the time information, and sending the next pregnancy time and pregnancy notice information to the user side;
when the health data are unqualified, the unqualified health data are analyzed, corresponding diagnosis and treatment information is output according to the unqualified health data of different types, and the diagnosis and treatment information is sent to a user side;
when the diagnosis and treatment information shows that hospitalization is needed and the user agrees to hospitalize, the hospital information closest to the hospital is acquired according to the user information, and when the user selects and confirms the hospital, registration information of the hospital is pushed to the user.
As a further scheme of the invention: the step of judging whether the health data is qualified or not and outputting a judging result specifically comprises the following steps:
uploading health data marked with medical institution information, user information and time information to a medical information sharing platform, wherein the medical information sharing platform stores a standard database;
extracting characteristic data of the health data;
and inputting the characteristic data into a standard database for matching, outputting a result with qualified health data when the characteristic data are matched, and outputting a result with unqualified health data when the characteristic data are not matched.
As a further scheme of the invention: when the health data is qualified, outputting next pregnancy time and pregnancy notice information according to the time information and the pregnancy period, and sending the next pregnancy time and pregnancy notice information to the user side, wherein the method specifically comprises the following steps of:
uploading the time information to a big data platform;
matching the time information with a notice information base in a big data platform, and outputting matched pregnancy notice information;
outputting the next pregnancy test time according to the time information and a pregnancy test calculation algorithm in the big data platform;
and sending the next pregnancy time and pregnancy notice information to the user side according to the user information.
As a further scheme of the invention: when the health data is unqualified, analyzing the unqualified health data, outputting corresponding diagnosis and treatment information according to the unqualified health data of different types, and sending the diagnosis and treatment information to a user side, wherein the method specifically comprises the following steps:
extracting abnormal characteristic data from unqualified health data;
uploading the abnormal characteristic data to a medical information sharing platform for matching, and outputting unqualified health data types and corresponding diagnosis and treatment information, wherein the unqualified health data types comprise parent abnormal data and matrix abnormal data;
and sending the diagnosis and treatment information to a user side.
As a further scheme of the invention: the step of uploading the abnormal characteristic data to a medical information sharing platform for matching and outputting unqualified health data types and corresponding diagnosis and treatment information specifically comprises the following steps:
establishing a mass database between diagnosis and treatment information corresponding to unqualified health data types according to unqualified health data types corresponding to different abnormal characteristic data;
inputting the abnormal characteristic data into a mass database;
outputting diagnosis and treatment information corresponding to the corresponding unqualified health data type and the unqualified health data type.
As a further scheme of the invention: the diagnosis and treatment information comprises diagnosis and treatment project information, hospitalization information and household medication information, and the diagnosis and treatment project information comprises diagnosis and treatment of specific organs of a parent body and treatment of body fluid withdrawal.
As a further scheme of the invention: when the diagnosis and treatment information shows that hospitalization is needed and the user agrees to hospitalize, acquiring hospital information closest to the user information, and when the user selects and confirms the hospital, pushing registration information of the hospital to the user, wherein the method specifically comprises the following steps:
transmitting the information of hospitalization to the user;
receiving admission information sent by a user;
retrieving hospital information in the vicinity of the user address based on the user information;
acquiring hospital information nearest to the user address according to the distance;
the hospital information is sent to a user side;
receiving the determination information sent by the user side;
and pushing registration information of the hospital to a user, wherein the registration information comprises registration outpatient service, registration time and remaining number information.
A health data management system, the system comprising:
the data receiving module is used for receiving health data sent by the medical equipment terminal, and marking medical institution information, user information and time information on the health data;
the data judging module is used for judging whether the health data is qualified or not and outputting a judging result:
the qualified data processing module is used for outputting next pregnancy detection time and pregnancy notice information according to the time information when the health data are qualified, and sending the next pregnancy detection time and pregnancy notice information to the user side;
the unqualified data processing module is used for analyzing the unqualified health data and outputting corresponding diagnosis and treatment information according to the unqualified health data of different types when the health data are unqualified, and sending the diagnosis and treatment information to the user side;
the diagnosis guiding module is used for acquiring hospital information closest to the user information when the diagnosis and treatment information shows that hospitalization is needed and the user agrees to hospitalize, and pushing registration information of the hospital to the user when the user selects and confirms the hospital.
As a further scheme of the invention: the reject data processing module comprises:
the feature extraction unit is used for extracting abnormal feature data in the unqualified health data;
the matching unit is used for uploading the abnormal characteristic data to the medical information sharing platform for matching and outputting unqualified health data types and corresponding diagnosis and treatment information, wherein the unqualified health data types comprise parent abnormal data and matrix abnormal data;
and the notification information sending unit is used for sending the diagnosis and treatment information to the user side.
As a further scheme of the invention: the guided diagnosis module comprises:
the first information receiving and transmitting unit is used for transmitting information to be hospitalized to the user side and receiving information of agreeing to be hospitalized transmitted by the user side;
the searching unit is used for searching hospital information near the user address according to the user information and acquiring the hospital information nearest to the user address according to the distance;
the second information receiving and transmitting unit is used for transmitting the hospital information to the user side and receiving the determined information transmitted by the user side;
and the registration information pushing unit is used for pushing registration information of the hospital to a user, wherein the registration information comprises registration outpatient service, registration time and remaining number information.
Compared with the prior art, through analyzing unqualified health data and outputting corresponding diagnosis and treatment information according to different types of unqualified health data, and when the diagnosis and treatment information is displayed, hospitalization is needed and the user agrees to be inpatient, the hospital information closest to the user information is acquired, when the user selects and confirms the hospital, the method for pushing registration information of the hospital to the user does not need to manually analyze the pregnant result by a pregnant doctor on one hand, and the user does not need to queue up to consult the pregnant doctor on the other hand, so that the problem of high sitting strength of the pregnant doctor and the problem of long waiting time of the pregnant woman are solved, and when the pregnant woman is needed to be inpatient, the problem of the non-inpatient process of the user is solved by the mode of automatically pushing hospitalization information and registration information, and on the premise that the medical condition distribution is uneven by a medical information sharing system, the method not only can further reduce the working strength of the pregnant doctor, but also greatly facilitate the whole pregnant checking process of the user, and the method has the characteristics of intelligence, high efficiency and humanization.
Drawings
Fig. 1 is a flow chart of a health data management method.
Fig. 2 is a flowchart of uploading abnormal feature data to a medical information sharing platform for matching in a health data management method, and outputting unqualified health data types and corresponding diagnosis and treatment information.
Fig. 3 is a flowchart of a health data management method, in which when diagnosis and treatment information shows that hospitalization is required and a user agrees to hospitalize, hospital information closest to the hospital is acquired according to user information, and when the user selects to confirm the hospital, registration information of the hospital is pushed to the user.
Fig. 4 is a schematic structural diagram of a health data management system.
Fig. 5 is a schematic structural diagram of a diagnosis guiding module in the health data management system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clear, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
As shown in fig. 1, an embodiment of the present invention provides a health data management method, which includes the following steps:
s100, health data sent by a medical equipment terminal is received, and medical institution information, user information and time information are marked on the health data;
s200, judging whether the health data is qualified or not, and outputting a judging result:
s300, when the health data are qualified, outputting next pregnancy time and pregnancy notice information according to the time information, and sending the next pregnancy time and pregnancy notice information to the user side;
s400, when the health data are unqualified, analyzing the unqualified health data, outputting corresponding diagnosis and treatment information according to the unqualified health data of different types, and sending the diagnosis and treatment information to a user side;
s500, when the diagnosis and treatment information shows that hospitalization is needed and the user agrees to hospitalize, acquiring hospital information closest to the hospital according to the user information, and when the user selects and confirms the hospital, pushing registration information of the hospital to the user.
In the embodiment of the invention, based on a medical information sharing system, a user can carry out pregnancy on medical equipment of any medical institution, a medical equipment terminal uploads health data after pregnancy to the medical information sharing system, the health data is marked with user address information, communication information, pregnancy date, week information and medical institution information, hospital information is conveniently pushed to the user through the user address information, pregnancy result information is conveniently pushed to the user according to the communication information, next pregnancy date is conveniently calculated through the pregnancy date, the medical institution information is used as evidence information of the pregnancy result, and when the user or the system detects that the health data uploaded by the medical equipment terminal has problems, the medical institution information is convenient to consult for the medical institution for problem reasons;
by analyzing unqualified health data and outputting corresponding diagnosis and treatment information according to different types of unqualified health data, when the diagnosis and treatment information is displayed, hospitalization is needed and a user agrees to hospitalize, information of a hospital closest to the user is acquired according to the information of the user, and when the user selects and confirms the hospital, the method for pushing registration information of the hospital to the user is not needed, on one hand, a doctor for delivery is not needed to analyze the result of pregnancy and on the other hand, the user does not need to queue up to consult with the doctor for delivery, the problem that the doctor for delivery is high in sitting strength and the problem that the waiting time of a pregnant woman is long is solved, and when the pregnant woman is needed to hospitalize, the problem that the user is unfamiliar with the hospitalization flow is solved through the mode of automatically pushing hospitalization information and registration information.
As a preferred embodiment of the present invention, the step of determining whether the health data is qualified, and outputting the determination result specifically includes:
s210, uploading health data marked with medical institution information, user information and time information to a medical information sharing platform, wherein the medical information sharing platform stores a standard database;
s220, extracting characteristic data of the health data;
s230, inputting the characteristic data into a standard database for matching, outputting qualified results of the health data when the characteristic data are matched, and outputting unqualified results of the health data when the characteristic data are not matched.
In the embodiment of the invention, the characteristic data of the health data are specifically blood routine parameters, electrocardiogram parameters, urine routine parameters, B ultrasonic or color photograph parameters, tang Shai or DNA detection parameters and the like, and the standard database comprises standard blood routine parameters, standard electrocardiogram parameters, standard urine routine parameters, standard B ultrasonic or color photograph parameters, standard Tang sieve or DNA detection parameters and the like.
As a preferred embodiment of the present invention, the step of outputting the next pregnancy test time and the pregnancy notice information according to the time information and the pregnancy test period, and transmitting the next pregnancy test time and the pregnancy notice information to the client specifically includes:
s310, uploading time information to a big data platform;
s320, matching the time information with a notice information base in the big data platform, and outputting matched pregnancy notice information;
s330, outputting the next pregnancy test time according to the time information and a pregnancy test calculation algorithm in the big data platform;
and S340, transmitting the next pregnancy time and pregnancy notice information to the user side according to the user information.
In the embodiment of the invention, the pregnancy period is generally fixed from the menstruation ending date to the delivery date as the name implies, and when the first pregnancy is finished, the second pregnancy is needed, compared with the existing mode of automatically reporting the electronic report by the APP in the hospital, after the health data marked with the time information is uploaded to the big data platform, the next pregnancy time can be automatically calculated by utilizing the pregnancy calculation algorithm, and as is known, the mobile phones APP and the network associated with the big data platform can issue pregnancy notes corresponding to different pregnancy weeks at present, the pregnancy note information can be acquired through the big data platform according to the pregnancy week information, and is sent to the user in the form of voice, video or characters, so that the labor intensity of the obstetrician can be reduced, and the user is not required to go to a clinic or a hospital after B ultra, color and electrocardiographic examination is finished.
As a preferred embodiment of the present invention, when the health data is not qualified, the step of analyzing the unqualified health data and outputting corresponding diagnosis and treatment information according to different types of unqualified health data, and sending the diagnosis and treatment information to the user side specifically includes:
s410, extracting abnormal characteristic data in unqualified health data;
s420, uploading the abnormal characteristic data to a medical information sharing platform for matching, and outputting unqualified health data types and corresponding diagnosis and treatment information, wherein the unqualified health data types comprise parent abnormal data and matrix abnormal data;
and S430, sending the diagnosis and treatment information to the user side.
In the embodiment of the invention, the abnormal characteristic data in the unqualified health data are specifically abnormal parameters of blood routine, abnormal parameters of electrocardiogram, abnormal parameters of urine routine, abnormal parameters of B ultrasonic or color photograph, abnormal parameters of Tang Shai or DNA detection, and the like, and each abnormal parameter corresponds to one unqualified health data type, for example, when the number of platelets or red blood cells in the abnormal parameters of blood routine is lower than a reference value, the abnormal characteristic data belong to maternal anemia symptoms, and when the parameters of alpha fetoprotein, human chorionic gonadotrophin, free estriol, and the like in Tang Shai are abnormal, the abnormal characteristic data can be used for judging whether a fetus has the syndrome of 18 trisomy and the syndrome of 21 trisomy, so that a user can know the specific type of health data in a straight tube more conveniently.
As shown in fig. 2, as a preferred embodiment of the present invention, the step of uploading the abnormal feature data to the medical information sharing platform for matching, and outputting the type of the unqualified health data and the corresponding diagnosis and treatment information specifically includes:
s4210, establishing a mass database between unqualified health data types corresponding to different abnormal characteristic data and diagnosis and treatment information corresponding to the unqualified health data types;
s4220, inputting abnormal characteristic data into a mass database;
s4230, outputting the diagnosis and treatment information corresponding to the type of the unqualified health data and the type of the unqualified health data.
In the embodiment of the invention, the diagnosis and treatment information comprises diagnosis and treatment project information, hospitalization information and at-home medication information, wherein the diagnosis and treatment project information comprises diagnosis and treatment of specific organs of a parent body and treatment of body abortion, such as: when blood routine abnormal parameters (the number of platelets or red blood cells is lower than a reference value) are input into the massive database, maternal anemia disease information and medicine information for treating the maternal anemia disease can be output, in the whole process, a doctor does not need to participate in the obstetrical examination, a user can automatically acquire the obstetrical examination information and diagnosis and treatment information, and when the user is in objection to the obstetrical examination information and the diagnosis and treatment information, the obstetrical examination information and the diagnosis and treatment information can be taken as reference samples to the obstetrical examination center for reference by the obstetrical examination doctor.
As shown in fig. 3, as a preferred embodiment of the present invention, when the diagnosis and treatment information indicates that hospitalization is required and the user agrees to be hospitalized, the step of acquiring hospital information closest to the user information, and when the user selects to confirm the hospital, pushing registration information of the hospital to the user specifically includes:
s510, sending information of hospitalization to a user side, and receiving information of agreeing to hospitalization sent by the user side;
s520, searching hospital information near the user address according to the user information, and acquiring the hospital information nearest to the user address according to the distance;
s530, the hospital information is sent to the user side, and the determination information sent by the user side is received;
s540, registration information of the hospital is pushed to a user, wherein the registration information comprises registration outpatient service, registration time and remaining number information.
In the embodiment of the invention, when a user needs hospitalization observation treatment due to a parent or carcass, the hospitalization information of the user is firstly sent to the user side, and when the hospitalization information of the user side is received, the hospital information near the user address is automatically searched according to the address information marked by the user health data, and based on the consideration of the user's nearby hospitalization willingness, the nearest hospital is automatically pushed to the user side, and meanwhile, the personal information and the health data information of the user are sent to the internal system of the hospital.
As shown in fig. 4, a health data management system, the system comprising:
the data receiving module 100 is configured to receive health data sent by a medical device terminal, and mark medical institution information, user information and time information on the health data;
the data judging module 200 is configured to judge whether the health data is qualified, and output a judging result:
the qualified data processing module 300 is configured to output next pregnancy time and pregnancy notice information according to the time information when the health data is qualified, and send the next pregnancy time and pregnancy notice information to the user side;
the unqualified data processing module 400 is used for analyzing the unqualified health data and outputting corresponding diagnosis and treatment information according to different types of unqualified health data when the health data are unqualified, and sending the diagnosis and treatment information to the user side;
the diagnosis guiding module 500 is configured to acquire hospital information closest to the user information when the diagnosis and treatment information indicates that hospitalization is required and the user agrees to hospitalize, and to push registration information of the hospital to the user when the user selects and confirms the hospital.
In the embodiment of the invention, the qualified data processing module 300, the unqualified data processing module 400 and the diagnosis guiding module 500 are integrated on the data judging module 200, the data judging module 200 is used for receiving the health data transmitted by the data receiving module 100, and the data receiving module 100 is integrated on a hospital sharing platform and is used for receiving the health data transmitted by the nationwide medical equipment terminal;
the data receiving module 100 comprises an a/D conversion unit 101 and an acquisition control unit 102, wherein the a/D conversion unit 101 is in communication connection with the acquisition control unit 102, the acquisition control unit 102 comprises a digital control oscillator 1021, a multi-rate digital filter bank 1022 and a data buffer 1023, and after the detection signals of the B ultrasonic/color ultrasonic and the like are transmitted to the a/D conversion unit 101, the acquisition control unit 102 further processes the detection signals of the B ultrasonic/color ultrasonic and the like: the digital control oscillator (NCO) generates sine and cosine signals, demodulates the digital signals converted by the a/D conversion unit 101 into 24-bit I/Q data, the multi-rate digital filter bank 1022 adopts a three-stage variable rate filtering sampling method to sample the digital signals, decimates and filters high-rate signals into low-rate signals, and the data buffer 1023 multiplexes the data and buffers the data into a dual-port RAM inside the acquisition control unit 102 (FPGA chip);
the data judging module 200 comprises a parameter extracting unit 201, a numerical value comparing unit 202 and a result output unit 203, wherein the parameter extracting unit 201, the numerical value comparing unit 202 and the result output unit 203 are in communication connection, the parameter extracting unit 201 extracts detection parameters cached in the data caching unit 1023 by utilizing a feature extraction valve method and transmits the extracted detection parameters to the numerical value comparing unit 202, the numerical value comparing unit 202 compares the extracted detection parameters with a standard parameter library by utilizing a convolutional neural network algorithm, and when the extracted detection parameters are matched with the standard parameter library, the result output unit 203 outputs qualified information, otherwise, unqualified information is output.
The qualified data processing module 300 comprises a time prediction unit 301, an index unit 302 and an information pushing unit 303, the time prediction unit 301, the index unit 302 and the information pushing unit 303 are in communication connection, the time prediction unit 301 is composed of a data receiving interface 3011, a time timer 3012 and a data uploading port 3013, the data receiving interface 3011 is used for receiving time information marked on healthy data, the time timer 3012 calculates next pregnancy checking time according to the time information marked on the healthy data, the data uploading port 3013 uploads the next pregnancy checking time to the index unit 302 (a big data platform), the index unit 302 searches for pregnancy notice information according to the next pregnancy checking time, and the information pushing unit 303 pushes the notice information to a user side.
As a preferred embodiment of the present invention, the reject data processing module 400 includes:
a feature extraction unit 401, configured to extract abnormal feature data from unqualified health data;
the matching unit 402 is configured to upload the abnormal feature data to the medical information sharing platform for matching, and output an unqualified health data type and corresponding diagnosis and treatment information, where the unqualified health data type includes parent abnormal data and carcass abnormal data;
the notification information sending unit 403 is configured to send the diagnosis and treatment information to the user side.
In the embodiment of the present invention, the feature extraction unit 401 performs feature extraction on the structured medical data through a preset feature extraction algorithm such as a dimension reduction algorithm, a correlation analysis algorithm, a preset clustering algorithm, and the like to obtain a corresponding data feature set, where the preset clustering algorithm includes one or more of clustering modes such as an SOM clustering algorithm and an HC clustering algorithm, the algorithms can obtain abnormal data features of the structured medical data according to the obtained multiple groups of data features, the matching unit 402 is configured to receive the abnormal feature data transmitted by the feature extraction unit 401, match the abnormal feature data with an abnormal database stored in the medical information sharing platform by using a convolutional neural network algorithm, and the notification information sending unit 403 is configured to receive the type of unqualified health data and the corresponding diagnosis and treatment information output by the matching unit 402, and is configured to send the diagnosis and treatment information to the user, where the user is a mobile phone or a PC APP.
As shown in fig. 5, as a preferred embodiment of the present invention, the guided diagnosis module 500 includes:
a first information transceiver 501, configured to send information about hospitalization to a user side, and receive information about agreeing to hospitalization sent by the user side;
a search unit 502 for searching hospital information near the user address according to the user information and acquiring the hospital information nearest to the user address according to the distance;
a second information transceiver 503, configured to send the hospital information to the user side, and receive the determination information sent by the user side;
and the registration information pushing unit 504 is configured to push registration information of the hospital to a user, where the registration information includes a registration clinic, registration time and remaining number information.
In the embodiment of the present invention, the second information transceiver unit 503 not only transmits hospital information to the user terminal, but also transmits user information and health data to the internal system of the hospital, when there is no bed or medical equipment in the hospital is behind, the hospital refuses to stay in hospital, the second information transceiver unit 503 transmits a re-search instruction to the second information transceiver unit 503, the second information transceiver unit 503 transmits a search instruction to the search unit 502 to continue searching other hospitals near the user address until the second information transceiver unit 503 receives the information agreed to stay in the hospital, and when the second information transceiver unit 503 also receives the determination information transmitted by the user terminal, the registration information pushing unit 504 pushes registration information of the hospital to the user.
In summary, through analyzing unqualified health data and outputting corresponding diagnosis and treatment information according to different types of unqualified health data, and when the diagnosis and treatment information shows that hospitalization is needed and a user agrees to hospitalize, the method for pushing registration information of a hospital to the user when the user selects and confirms the hospital, on one hand, a doctor does not need to manually analyze a pregnant result, on the other hand, the user does not need to queue up to consult with the pregnant doctor, the problem of high sitting strength of the pregnant doctor is solved, the problem of long waiting time of the pregnant woman is solved, and when the pregnant woman is needed to hospitalize, the problem that the user is not familiar with the hospitalization process is solved through a mode of automatically pushing hospitalization information and registration information, on the premise that a medical information sharing system solves uneven distribution of medical conditions, the method not only can further reduce the working strength of the pregnant doctor, but also greatly facilitates the whole pregnant inspection process of the user, and the method has the characteristics of intelligence, high efficiency and humanization.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. A method of health data management, the method comprising the steps of:
receiving health data sent by a medical equipment terminal, and marking medical institution information, user information and time information on the health data;
judging whether the health data is qualified or not, and outputting a judging result:
when the health data are qualified, outputting next pregnancy time and pregnancy notice information according to the time information, and sending the next pregnancy time and pregnancy notice information to the user side;
when the health data are unqualified, the unqualified health data are analyzed, corresponding diagnosis and treatment information is output according to the unqualified health data of different types, and the diagnosis and treatment information is sent to a user side;
when the diagnosis and treatment information shows that hospitalization is needed and the user agrees to hospitalize, the hospital information closest to the hospital is acquired according to the user information, and when the user selects and confirms the hospital, registration information of the hospital is pushed to the user.
2. The method for managing health data according to claim 1, wherein the step of judging whether the health data is qualified or not and outputting the judgment result comprises:
uploading health data marked with medical institution information, user information and time information to a medical information sharing platform, wherein the medical information sharing platform stores a standard database;
extracting characteristic data of the health data;
and inputting the characteristic data into a standard database for matching, outputting a result with qualified health data when the characteristic data are matched, and outputting a result with unqualified health data when the characteristic data are not matched.
3. The method for managing health data according to claim 2, wherein when the health data is qualified, outputting next pregnancy time and pregnancy notice information according to the time information and the pregnancy period, and transmitting the next pregnancy time and pregnancy notice information to the client, the method specifically comprising:
uploading the time information to a big data platform;
matching the time information with a notice information base in a big data platform, and outputting matched pregnancy notice information;
outputting the next pregnancy test time according to the time information and a pregnancy test calculation algorithm in the big data platform;
and sending the next pregnancy time and pregnancy notice information to the user side according to the user information.
4. The method for managing health data according to claim 3, wherein when the health data is not qualified, the step of analyzing the unqualified health data and outputting corresponding diagnosis and treatment information according to different types of unqualified health data, and transmitting the diagnosis and treatment information to the user side specifically comprises:
extracting abnormal characteristic data from unqualified health data;
uploading the abnormal characteristic data to a medical information sharing platform for matching, and outputting unqualified health data types and corresponding diagnosis and treatment information, wherein the unqualified health data types comprise parent abnormal data and matrix abnormal data;
and sending the diagnosis and treatment information to a user side.
5. The method for managing health data according to claim 4, wherein the step of uploading the abnormal feature data to the medical information sharing platform for matching and outputting the type of unqualified health data and the corresponding diagnosis and treatment information specifically comprises:
establishing a mass database between diagnosis and treatment information corresponding to unqualified health data types according to unqualified health data types corresponding to different abnormal characteristic data;
inputting the abnormal characteristic data into a mass database;
outputting diagnosis and treatment information corresponding to the corresponding unqualified health data type and the unqualified health data type.
6. The method of claim 5, wherein the medical information includes medical item information, hospitalization information, and at-home medication information, and the medical item information includes maternal specific organ medical treatment, and carcass withdrawal therapy.
7. The method for managing health data according to claim 6, wherein when the diagnosis and treatment information shows that hospitalization is required and the user agrees to hospitalize, acquiring information of a hospital closest to the user information, and when the user selects to confirm the hospital, pushing registration information of the hospital to the user, comprises:
transmitting the information of hospitalization to the user;
receiving admission information sent by a user;
retrieving hospital information in the vicinity of the user address based on the user information;
acquiring hospital information nearest to the user address according to the distance;
the hospital information is sent to a user side;
receiving the determination information sent by the user side;
and pushing registration information of the hospital to a user, wherein the registration information comprises registration outpatient service, registration time and remaining number information.
8. A health data management system, the system comprising:
the data receiving module is used for receiving health data sent by the medical equipment terminal, and marking medical institution information, user information and time information on the health data;
the data judging module is used for judging whether the health data is qualified or not and outputting a judging result:
the qualified data processing module is used for outputting next pregnancy detection time and pregnancy notice information according to the time information when the health data are qualified, and sending the next pregnancy detection time and pregnancy notice information to the user side;
the unqualified data processing module is used for analyzing the unqualified health data and outputting corresponding diagnosis and treatment information according to the unqualified health data of different types when the health data are unqualified, and sending the diagnosis and treatment information to the user side;
the diagnosis guiding module is used for acquiring hospital information closest to the user information when the diagnosis and treatment information shows that hospitalization is needed and the user agrees to hospitalize, and pushing registration information of the hospital to the user when the user selects and confirms the hospital.
9. The health data management system of claim 8, wherein said reject data processing module comprises:
the feature extraction unit is used for extracting abnormal feature data in the unqualified health data;
the matching unit is used for uploading the abnormal characteristic data to the medical information sharing platform for matching and outputting unqualified health data types and corresponding diagnosis and treatment information, wherein the unqualified health data types comprise parent abnormal data and matrix abnormal data;
and the information sending unit is used for sending the diagnosis and treatment information to the user side.
10. The health data management system of claim 9, wherein the guided diagnosis module comprises:
the first information receiving and transmitting unit is used for transmitting information to be hospitalized to the user side and receiving information of agreeing to be hospitalized transmitted by the user side;
the searching unit is used for searching hospital information near the user address according to the user information and acquiring the hospital information nearest to the user address according to the distance;
the second information receiving and transmitting unit is used for transmitting the hospital information to the user side and receiving the determined information transmitted by the user side;
and the registration information pushing unit is used for pushing registration information of the hospital to a user, wherein the registration information comprises registration outpatient service, registration time and remaining number information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410204863.4A CN117789953A (en) | 2024-02-26 | 2024-02-26 | Health data management method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410204863.4A CN117789953A (en) | 2024-02-26 | 2024-02-26 | Health data management method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117789953A true CN117789953A (en) | 2024-03-29 |
Family
ID=90391215
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410204863.4A Pending CN117789953A (en) | 2024-02-26 | 2024-02-26 | Health data management method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117789953A (en) |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361542A (en) * | 2014-11-26 | 2015-02-18 | 王常松 | Intelligent personal medical treatment archival system |
| CN105160190A (en) * | 2015-09-16 | 2015-12-16 | 深圳东沅科技有限公司 | Health archive based family doctor diagnosis and treatment system and diagnosis and treatment APP |
| CN108231149A (en) * | 2018-02-05 | 2018-06-29 | 深圳市是源医学科技有限公司 | Pregnancy period health and fitness information method for pushing, system, computer equipment and storage medium |
| CN109524129A (en) * | 2018-11-20 | 2019-03-26 | 合肥美迪普医疗卫生用品有限公司 | A kind of three-dimensional integrated wound stoma wisdom care system Internet-based |
| CN110136794A (en) * | 2019-05-22 | 2019-08-16 | 湖北可汗广电文化有限公司 | A kind of mother and baby's Life cycle health medical treatment service system based on artificial intelligence |
| CN110148469A (en) * | 2019-05-23 | 2019-08-20 | 梁国强 | A kind of intelligence production check system |
| CN110428890A (en) * | 2019-07-19 | 2019-11-08 | 万达信息股份有限公司 | A kind of medical treatment hospital guide method and system |
| CN111785371A (en) * | 2020-07-21 | 2020-10-16 | 平安国际智慧城市科技股份有限公司 | Medical service method, medical service device, computer equipment and storage medium |
| CN112768024A (en) * | 2021-01-27 | 2021-05-07 | 上海市第五人民医院(上海市闵行区传染病医院) | Pregnancy health data management system, computer device and storage medium |
| WO2021169105A1 (en) * | 2020-02-27 | 2021-09-02 | 平安国际智慧城市科技股份有限公司 | Pregnancy test item processing method and apparatus, computer device and storage medium |
| CN113689942A (en) * | 2021-08-24 | 2021-11-23 | 平安国际智慧城市科技股份有限公司 | Method and device for monitoring obstetrical examination and related equipment |
| CN113948194A (en) * | 2021-10-26 | 2022-01-18 | 西安交通大学医学院第一附属医院 | Intelligent accurate mother and infant health management information platform |
| CN115309792A (en) * | 2022-08-09 | 2022-11-08 | 四川省医学科学院·四川省人民医院 | Perinatal period health education management system |
| CN117059238A (en) * | 2023-07-21 | 2023-11-14 | 陕西君凯医疗科技有限公司 | Healthy medical big data sharing method and system |
| CN117577278A (en) * | 2023-11-07 | 2024-02-20 | 仲康伟业健康科技(北京)有限公司 | Health management platform based on patient information |
-
2024
- 2024-02-26 CN CN202410204863.4A patent/CN117789953A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361542A (en) * | 2014-11-26 | 2015-02-18 | 王常松 | Intelligent personal medical treatment archival system |
| CN105160190A (en) * | 2015-09-16 | 2015-12-16 | 深圳东沅科技有限公司 | Health archive based family doctor diagnosis and treatment system and diagnosis and treatment APP |
| CN108231149A (en) * | 2018-02-05 | 2018-06-29 | 深圳市是源医学科技有限公司 | Pregnancy period health and fitness information method for pushing, system, computer equipment and storage medium |
| CN109524129A (en) * | 2018-11-20 | 2019-03-26 | 合肥美迪普医疗卫生用品有限公司 | A kind of three-dimensional integrated wound stoma wisdom care system Internet-based |
| CN110136794A (en) * | 2019-05-22 | 2019-08-16 | 湖北可汗广电文化有限公司 | A kind of mother and baby's Life cycle health medical treatment service system based on artificial intelligence |
| CN110148469A (en) * | 2019-05-23 | 2019-08-20 | 梁国强 | A kind of intelligence production check system |
| CN110428890A (en) * | 2019-07-19 | 2019-11-08 | 万达信息股份有限公司 | A kind of medical treatment hospital guide method and system |
| WO2021169105A1 (en) * | 2020-02-27 | 2021-09-02 | 平安国际智慧城市科技股份有限公司 | Pregnancy test item processing method and apparatus, computer device and storage medium |
| CN111785371A (en) * | 2020-07-21 | 2020-10-16 | 平安国际智慧城市科技股份有限公司 | Medical service method, medical service device, computer equipment and storage medium |
| CN112768024A (en) * | 2021-01-27 | 2021-05-07 | 上海市第五人民医院(上海市闵行区传染病医院) | Pregnancy health data management system, computer device and storage medium |
| CN113689942A (en) * | 2021-08-24 | 2021-11-23 | 平安国际智慧城市科技股份有限公司 | Method and device for monitoring obstetrical examination and related equipment |
| CN113948194A (en) * | 2021-10-26 | 2022-01-18 | 西安交通大学医学院第一附属医院 | Intelligent accurate mother and infant health management information platform |
| CN115309792A (en) * | 2022-08-09 | 2022-11-08 | 四川省医学科学院·四川省人民医院 | Perinatal period health education management system |
| CN117059238A (en) * | 2023-07-21 | 2023-11-14 | 陕西君凯医疗科技有限公司 | Healthy medical big data sharing method and system |
| CN117577278A (en) * | 2023-11-07 | 2024-02-20 | 仲康伟业健康科技(北京)有限公司 | Health management platform based on patient information |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wright et al. | Serum pregnancy‐associated plasma protein‐A in the three trimesters of pregnancy: effects of maternal characteristics and medical history | |
| CN112035674B (en) | Diagnosis guiding data acquisition method, device, computer equipment and storage medium | |
| US7315787B2 (en) | Multi-marker screening protocol for fetal abnormalities | |
| US11622744B2 (en) | System and method for automated ovarian follicular monitoring | |
| CN106874653A (en) | Assistant hospital decision system and method | |
| CN103690240A (en) | Medical system | |
| CN108920634A (en) | The skin disease characteristic analysis system of knowledge based map | |
| CN110991536B (en) | Training method of early warning model of primary liver cancer | |
| CN111985584B (en) | Disease auxiliary detection equipment, method, device and medium based on multi-mode data | |
| US20090252392A1 (en) | System and method for analyzing medical images | |
| CN111613335A (en) | Health early warning system and method | |
| CN112582076B (en) | Placenta pathology censoring evaluation method, device, system and storage medium | |
| US20180368815A1 (en) | Body fluid state diagnostic system and state diagnostic method using same | |
| US11583260B2 (en) | Method and device for predicting and testing physiological conditions of a female mammal | |
| CN114663735B (en) | Dual-bone age assessment method based on joint global and local convolutional neural network characteristics | |
| CN115714022A (en) | Neonatal jaundice health management system based on artificial intelligence | |
| CN117789953A (en) | Health data management method and system | |
| CN110223772A (en) | A kind for the treatment of endocrine diseases diagnostic device and data information processing method | |
| Su et al. | The approach of data mining methods for medical database | |
| CN112233816A (en) | Health monitoring method, device and computer readable medium | |
| Sotiriadis et al. | Fetal growth impairment after first-trimester chorionic villus sampling: a case–control study | |
| CN109730720B (en) | Mobile application system, working method and equipment for auxiliary diagnosis | |
| CN108903913B (en) | Skin flap transplantation postoperative care monitoring equipment, system, method, product and server | |
| CN112420197A (en) | Intelligent public health service management system and method | |
| CN117524464B (en) | Method and system for calculating postoperative target hemoglobin based on big data |
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 |