CN113593690A - Medical health data acquisition and analysis system based on big data - Google Patents
Medical health data acquisition and analysis system based on big data Download PDFInfo
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Abstract
The invention belongs to the technical field of medical health, and particularly discloses a medical health data acquisition and analysis system based on big data, which comprises a medical health analysis and diagnosis platform, wherein the medical health analysis and diagnosis platform is provided with a data acquisition port, and is connected with a general database, the general database is electrically connected with a data comparison module, the data acquisition port can acquire detection data of a patient and simultaneously transmit the detection data to the interior of the general database, and the data comparison module is adopted to compare the acquired and input data with the internal data of the general database. The invention can quickly acquire and analyze the data of the patient, effectively improves the efficiency of seeing a doctor and reduces the probability of delaying the illness state of the patient.
Description
Technical Field
The invention belongs to the technical field of medical health, and particularly discloses a medical health data acquisition and analysis system based on big data.
Background
At present, along with the development of new generation information technology, most hospitals have all adopted medical data management system to carry out the sharing of patient's data of diagnosing, and the medical personnel of being convenient for obtain the data of diagnosing at the diagnosis in-process, have improved to a certain extent and have diagnose efficiency.
However, with the increasing population, hospitals are full of patients, and when patients need to perform multi-item examination and visit departments for many times, medical staff need to repeatedly check the diagnosis and treatment data of the patients in the medical data management system for analysis and diagnosis, which not only increases the workload of the medical staff, but also affects the accuracy of diagnosis when the medical staff diagnoses under the condition of fatigue, and even delays the best time for patients to visit.
In addition, the existing medical data management system is only opened for medical staff, so that a patient cannot acquire diagnosis and treatment data of the patient, diagnosis and treatment levels of a hospital and diagnosis and treatment cost are judged according to the diagnosis and treatment data, and the patient cannot select medical services.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a medical health data acquisition and analysis system based on big data.
In order to achieve the above purpose, the invention provides a medical health data acquisition and analysis system based on big data, which comprises a medical health analysis and diagnosis platform, wherein the medical health analysis and diagnosis platform is provided with a data acquisition port, and is connected with a total database, the total database is electrically connected with a data comparison module, the data acquisition port can acquire the detection data of a patient and simultaneously transmit the detection data to the interior of the total database, and the data comparison module is adopted to compare the acquired and input data with the internal data of the total database.
The data comparison module is electrically connected with the feature extraction module, the feature extraction module is electrically connected with the analysis and diagnosis module, the analysis and diagnosis module is electrically connected with the diagnosis summary module, the diagnosis summary module is electrically connected with the diagnosis and treatment suggestion module, and the diagnosis and treatment suggestion module is electrically connected with the diagnosis and treatment recommendation system; the feature extraction module is used for independently extracting a feature value of result data generated after the comparison processing of the data comparison module is completed, then extracting the feature value of corresponding pathological data in the total database through the analysis and diagnosis module, calculating the similarity by using a cosine similarity algorithm, judging whether the similarity reaches a preset similarity threshold value through the diagnosis summary module, if so, extracting diagnosis and treatment opinion data corresponding to the pathological data from the total database, and the diagnosis and treatment opinion module generates a diagnosis and treatment opinion report according to the diagnosis and treatment data for a patient and medical staff to refer.
The diagnosis summary module is also electrically connected with an abnormity warning module, and the abnormity warning module is connected with the background authority moving end through the communication module; the abnormal warning module is used for monitoring whether the summarized data is infected virus data or not, and sending abnormal warning information through the communication module and the background authority mobile terminal when the infected virus data is found; and reminding workers to check. The staff can timely carry out isolated diagnosis and treatment on the disease carrying the infectious virus, reduce the harm of the virus to public safety and achieve the purpose of protection in advance.
And a data updating system is arranged between the medical health analysis and diagnosis platform and a total database.
In the above technical scheme, preferably, the data acquisition port includes a blood sample saturation acquisition module, a heart rate acquisition module, an electrocardiogram acquisition module, a blood pressure acquisition module, a blood sugar acquisition module, a blood fat acquisition module and a uric acid acquisition module, so that multiple acquired data can be contrasted and analyzed simultaneously, and the diagnosis accuracy is improved.
In the above technical solution, preferably, the data updating system includes a background authority login port disposed in the medical health analysis and diagnosis platform and a data intake module electrically connected to the medical health analysis and diagnosis platform, the data intake module is electrically connected to the duplication checking module, the duplication checking module is electrically connected to the deletion module and the transfer module, the transfer module is connected to the transfer database, the transfer database is electrically connected to the timing update module, the timing update module is connected to the total database through the information transmission module, wherein the background authority login port enables medical staff to enter the medical health analysis and diagnosis platform, and simultaneously, the data intake module takes in the increased data to the total database, and the duplication checking module performs duplication checking processing on the taken data, when the same data exists in the total database, the deleting module deletes the same data, the data which are not repeated are stored in the transferring database through the transferring module, and then the data in the transferring database are updated into the total database through the timing updating module, so that interference on data analysis is avoided.
In the above technical solution, preferably, the total database is connected to a plurality of sub-databases through a data classification module, wherein the data classification module can store data in the total database into each sub-database in a classified manner, so as to ensure that the data is well ordered.
In the above technical scheme, preferably, the system for recommending a doctor comprises a hospital database, the hospital database is connected with the diagnosis and treatment suggestion module through a data transmission module, the hospital database is further electrically connected with a diagnosis and treatment comparison unit, the diagnosis and treatment comparison unit is electrically connected with a diagnosis and treatment budget unit, and the diagnosis and treatment budget unit is electrically connected with a client. The diagnosis recommendation system transmits the data arranged by the diagnosis and treatment suggestion module to the hospital database through the data transmission module, compares and selects the internal hospitals stored in the hospital database through the diagnosis and treatment comparison unit according to the data arranged by the diagnosis and treatment suggestion module, simultaneously carries out approximate budget on diagnosis and treatment cost through the diagnosis and treatment budget unit, and finally sends the internal hospital selection result and the budget result to the patient client, so that the diagnosis clarity of the patient is improved.
In the above technical solution, preferably, the client includes a telephone voice sending module, a WeChat sending module, and a short message sending module.
In the above technical solution, preferably, the hospital database is further connected to an admission system, and the admission system includes: the hospital information monitoring system comprises an information acquisition unit, an information inclusion unit, a verification unit, an information abnormity warning unit and an abnormity database, wherein the information acquisition unit is electrically connected with the verification unit, the verification unit is connected with the hospital database through the information inclusion unit, the verification unit is also connected with the information abnormity warning unit, and the information abnormity warning unit is electrically connected with the abnormity database; the information acquisition unit is used for acquiring and storing hospital information, the verification unit is used for verifying the acquired hospital information and evaluating the authenticity and medical level of the hospital information, if the hospital information passes the evaluation, the hospital information is brought into a hospital database, if the hospital information does not pass the evaluation, the information is marked through the information abnormity warning unit, and the marked information is pushed to the abnormity database.
Correspondingly, the invention also provides a medical health data acquisition and analysis method based on big data, which adopts a medical health data acquisition and analysis system based on big data, and comprises the following steps:
s1, acquiring the detection data of the patient through the data acquisition port, simultaneously transmitting the data to the interior of the total database, and comparing the acquired and input data with the internal data of the total database by using the data comparison module;
s2, a characteristic value of result data generated after the data comparison module finishes comparison processing is extracted independently through a characteristic extraction module, then a characteristic value of corresponding pathological data in a total database is extracted through an analysis and diagnosis module, the similarity is calculated by using a cosine similarity algorithm, whether the similarity reaches a preset similarity threshold value is judged through a diagnosis summary module, if yes, diagnosis and treatment opinion data corresponding to the pathological data are extracted from the total database, and a diagnosis and treatment opinion module generates a diagnosis and treatment opinion report for a patient and medical care personnel to refer according to the diagnosis and treatment opinion data;
s3, the abnormal warning module identifies abnormal data in the summarized data, and sends abnormal warning information to the background authority mobile terminal through the communication module after the abnormal data are found;
s4, the diagnosis and treatment suggestion module transmits the sorted data to a diagnosis and treatment recommendation system, and the diagnosis and treatment recommendation system carries out recommendation selection on a diagnosis and treatment hospital according to the data sorted by the diagnosis and treatment suggestion module, so that the diagnosis and treatment definition of a patient is effectively improved;
and S5, periodically incorporating the newly added data into the total database through the data updating system, and ensuring the integrity of the total database.
Compared with the prior art, the invention has the following beneficial effects:
1. the characteristic extraction module of the invention independently extracts the characteristics in the collected and input data and the comparison data, then the data in the total database of the structure of the analysis and diagnosis module is used for big data analysis, meanwhile, the diagnosis and summary module is used for summarizing the analysis results of various data, and the diagnosis and treatment suggestion module can provide diagnosis and treatment suggestions for the patient and medical care personnel to refer according to the data summarized by the diagnosis and summary module, thereby effectively improving the diagnosis and treatment efficiency and reducing the probability of delaying the illness state of the patient.
2. The abnormity warning module can warn abnormal data, the abnormal data are embodied into dangerous infectious virus data and can cause harm to public safety, then staff at the background permission mobile end can timely diagnose and treat patients and isolate the patients, harm to the public safety caused by viruses is reduced, and the purpose of early protection is achieved.
3. By arranging the diagnosis recommendation system, the diagnosis and treatment hospitals can be recommended and selected according to the data condition of the diagnosis and treatment suggestion module, and the diagnosis and treatment clarity of the patients is effectively improved.
4. The newly added data are periodically brought into the total database through the data updating system, the integrity of the total database is ensured, and the accuracy of subsequent acquisition and analysis is effectively improved.
Drawings
Fig. 1 is a schematic system configuration according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating a total database classification structure according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a data acquisition module according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of a client structure according to an embodiment of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and thus the present invention is not limited to the specific embodiments disclosed below.
As shown in fig. 1-5, the present invention discloses a medical health data collecting and analyzing system based on big data, which comprises a medical health analyzing and diagnosing platform, wherein the medical health analyzing and diagnosing platform is provided with a data collecting port, and the medical health analyzing and diagnosing platform is connected with a total database, the total database is connected with a plurality of sub-databases through a data classifying module, wherein the data classifying module can store the data in the total database into each sub-database in a classified manner to ensure the data to be well ordered, the data collecting port comprises a blood sample saturation collecting module, a heart rate collecting module, an electrocardio collecting module, a blood pressure collecting module, a blood sugar collecting module, a blood fat collecting module and a uric acid collecting module, so as to compare and analyze the collected data at the same time, improve the diagnosis accuracy, and the total database is electrically connected with the data comparing module, wherein the data acquisition port can gather patient's detected data, transport simultaneously to total database inside, adopt data comparison module to carry out the contrast processing with the inside data of total database with the data of gathering the input.
The hospital database is also connected with an intake system, and the intake system comprises: the hospital information monitoring system comprises an information acquisition unit, an information inclusion unit, a verification unit, an information abnormity warning unit and an abnormity database, wherein the information acquisition unit is electrically connected with the verification unit, the verification unit is connected with the hospital database through the information inclusion unit, the verification unit is also connected with the information abnormity warning unit, and the information abnormity warning unit is electrically connected with the abnormity database; the information acquisition unit is used for acquiring and storing hospital information, the verification unit is used for verifying the acquired hospital information and evaluating the authenticity and medical level of the hospital information, if the hospital information passes the evaluation, the hospital information is brought into a hospital database, if the hospital information does not pass the evaluation, the information is marked through the information abnormity warning unit, and the marked information is pushed to the abnormity database.
Data contrast module electric connection feature extraction module, feature extraction module electric connection analysis and diagnosis module, analysis and diagnosis module electric connection diagnosis summary module, the suggestion module is diagnose through electric connection to the diagnosis summary module, diagnoses suggestion module electric connection recommendation system of seeing a doctor, wherein: the feature extraction module extracts feature values of result data generated after the data comparison module finishes comparison processing independently, then the feature values of corresponding pathological data in the total database are extracted through the analysis and diagnosis module, the similarity is calculated by using a cosine similarity algorithm, whether the similarity reaches a preset similarity threshold value is judged through the diagnosis summary module, if yes, diagnosis and treatment suggestion data corresponding to the pathological data are extracted from the total database, and the diagnosis and treatment suggestion module generates a diagnosis and treatment suggestion report for a patient and medical care personnel to refer according to the diagnosis and treatment suggestion data.
The diagnosis summary module is also electrically connected with the abnormity warning module, and the abnormity warning module is connected with the background authority moving end through the communication module. The abnormal warning module monitors whether abnormal data exist in the data summarized by diagnosis in real time, and the abnormal data are embodied as dangerous infectious virus data. When abnormal data occurs, the abnormal warning module immediately sends abnormal warning information to the background authority moving end through the communication module, and the background authority moving end sends a prompt signal in real time after receiving the abnormal warning information to remind a worker to check. The system ensures that the staff can timely carry out isolated diagnosis and treatment on the disease carrying the infectious virus, reduces the harm of the virus to public safety, and achieves the purpose of protection in advance.
The data updating system is arranged between the medical health analysis and diagnosis platform and the total database, the data updating system comprises a background authority login port arranged in the medical health analysis and diagnosis platform and a data intake module electrically connected with the medical health analysis and diagnosis platform, the data intake module is electrically connected with a duplication checking module, the duplication checking module is respectively electrically connected with a deleting module and a transferring module, the transferring module is connected with a transferring database, the transferring database is electrically connected with a timing updating module, and the timing updating module is connected with the total database through an information transmission module, wherein the background authority login port can enable medical workers to enter the medical health analysis and diagnosis platform, the increased data is simultaneously brought into the total database through the data intake module, the duplication checking module can check and check the taken data, and when the same data exists in the total database, the deleting module deletes the same data, the data which are not repeated are stored in the transferring database through the transferring module, and then the data in the transferring database are updated into the total database through the timing updating module, so that interference on data analysis is avoided.
The diagnosis recommendation system comprises a hospital database, the hospital database is connected with a diagnosis and treatment suggestion module through a data transmission module, the hospital database is also electrically connected with a diagnosis and treatment comparison unit which is electrically connected with a diagnosis and treatment budget unit which is electrically connected with a client side, the client side comprises a telephone voice sending module, a WeChat sending module and a short message sending module, the diagnosis recommendation system transmits the data arranged by the diagnosis and treatment suggestion module to the hospital database through the data transmission module, the transmitted data condition is arranged according to the diagnosis and treatment suggestion module, then the internal hospital information stored in the hospital database is compared and selected through the diagnosis and treatment comparison unit, meanwhile, the diagnosis and treatment budget unit roughly budgets diagnosis and treatment cost, and finally, the internal hospital selection result and the budget result are sent to the patient client, so that the diagnosis and treatment definition of the patient is improved.
Correspondingly, the invention also discloses a medical health data acquisition and analysis method based on big data, which comprises the following steps:
s1, firstly, acquiring the detection data of the patient through the data acquisition port, simultaneously transmitting the data to the interior of the total database, and comparing the acquired and input data with the internal data of the total database by using the data comparison module;
s2, independently extracting characteristic values of result data generated after the data comparison module finishes comparison processing through a characteristic extraction module, extracting characteristic values of corresponding pathological data in a total database through an analysis and diagnosis module, calculating similarity by using a cosine similarity algorithm, judging whether the similarity reaches a preset similarity threshold value or not through a diagnosis summary module, if so, extracting diagnosis and treatment opinion data corresponding to the pathological data from the total database, and generating a diagnosis and treatment opinion report for a patient and medical care personnel to refer according to the diagnosis and treatment opinion data through the diagnosis and treatment opinion module;
s3, the abnormal warning module identifies abnormal data in the summarized data, and immediately sends abnormal warning information to the background authority mobile terminal through the communication module after the abnormal data are found;
s4, secondly, transmitting the data sorted by the diagnosis and treatment suggestion module to a diagnosis and treatment recommendation system, and recommending and selecting the diagnosis and treatment hospital by the diagnosis and treatment recommendation system according to the data sorted by the diagnosis and treatment suggestion module, so that the diagnosis and treatment clarity of the patient is effectively improved;
and S5, periodically incorporating the newly added data into the total database through the data updating system, and ensuring the integrity of the total database.
In the present invention, the terms "mounting," "connecting," "fixing," and the like are used in a broad sense, for example, "connecting" may be a fixed connection, a detachable connection, or an integral connection; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description herein, the appearances of the phrases "one embodiment," "some embodiments," "a specific embodiment," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment or example, but rather to the same embodiment or example. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The medical health data acquisition and analysis system based on big data is characterized by comprising a medical health analysis and diagnosis platform, wherein the medical health analysis and diagnosis platform is provided with a data acquisition port and is connected with a general database, and the general database is electrically connected with a data comparison module; the data acquisition port is used for acquiring detection data of a patient and simultaneously transmitting the detection data to the interior of the general database; the data comparison module is used for comparing the collected and input data with the internal data of the total database;
the data comparison module is electrically connected with the feature extraction module, the feature extraction module is electrically connected with the analysis and diagnosis module, the analysis and diagnosis module is electrically connected with the diagnosis summary module, the diagnosis summary module is electrically connected with the diagnosis and treatment suggestion module, and the diagnosis and treatment suggestion module is electrically connected with the diagnosis and treatment recommendation system; the feature extraction module is used for independently extracting a feature value of result data generated after the comparison processing of the data comparison module is completed, then extracting a feature value of corresponding pathological data in a total database through the analysis and diagnosis module, calculating the similarity by using a cosine similarity algorithm, judging whether the similarity reaches a preset similarity threshold value through the diagnosis summary module, if so, extracting diagnosis and treatment opinion data corresponding to the pathological data from the total database, and the diagnosis and treatment opinion module generates a diagnosis and treatment opinion report according to the diagnosis and treatment data for a patient and medical staff to refer;
the diagnosis summary module is also electrically connected with an abnormity warning module, and the abnormity warning module is connected with the background authority moving end through the communication module; the abnormal warning module is used for monitoring whether the summarized data is infected virus data or not, and sending abnormal warning information through the communication module and the background authority mobile terminal when the infected virus data is found;
and a data updating system is also arranged between the medical health analysis and diagnosis platform and the total database.
2. The big data based medical health data collecting and analyzing system according to claim 1, wherein the data collecting port comprises a blood sample saturation collecting module, a heart rate collecting module, an electrocardiogram collecting module, a blood pressure collecting module, a blood sugar collecting module, a blood fat collecting module and a uric acid collecting module, and is used for performing comparative analysis on the collected multiple data simultaneously.
3. The big data-based medical health data acquisition and analysis system according to claim 1, wherein the data update system comprises a background authority login port and a data intake module, the background authority login port and the data intake module are arranged in the medical health analysis and diagnosis platform, the data intake module is electrically connected with the medical health analysis and diagnosis platform and the duplication checking module, the duplication checking module is electrically connected with a deletion module and a transfer module, the transfer module is connected with a transfer database, the transfer database is electrically connected with a timing update module, and the timing update module is connected with a total database through an information transmission module; the background authority login port is used for logging in a medical health analysis and diagnosis platform and bringing the increased data into a total database through a data bringing module; the duplication checking module is used for carrying out duplication checking processing on the data which are brought in, when the same data which are brought in exist in the total database, the deleting module deletes the same data which are brought in, the non-repeated data which are brought in are stored in the transferring database through the transferring module, and the data in the transferring database are updated into the total database through the timing updating module.
4. The big data-based medical health data collection and analysis system according to claim 1, wherein the total database is connected with a plurality of sub-databases through a data classification module, wherein the data classification module is used for storing data in the total database into each sub-database in a classified manner.
5. The big data-based medical health data acquisition and analysis system according to claim 1, wherein the visit recommendation system comprises a hospital database, the hospital database is connected with the diagnosis and treatment suggestion module through a data transmission module, the hospital database is further electrically connected with a diagnosis and treatment comparison unit, the diagnosis and treatment comparison unit is electrically connected with a diagnosis and treatment budget unit, the diagnosis and treatment budget unit is electrically connected with a client, the data transmission module is used for transmitting the diagnosis and treatment suggestion data generated by the diagnosis and treatment suggestion module to the hospital database, the hospital database carries out comparison and selection on internal hospitals stored in the hospital database through the diagnosis and treatment comparison unit according to the diagnosis and treatment suggestion data, budgets the diagnosis and treatment costs through the diagnosis and treatment budget unit, and finally, the selection results and the budget results of the internal hospitals are sent to the patient client.
6. The big data based medical health data collecting and analyzing system of claim 5, wherein the client comprises a phone voice sending module, a WeChat sending module and a short message sending module.
7. The big data based medical health data collecting and analyzing system of claim 5, wherein an intake system is further connected to the hospital database, the intake system comprising: the hospital information monitoring system comprises an information acquisition unit, an information inclusion unit, a verification unit, an information abnormity warning unit and an abnormity database, wherein the information acquisition unit is electrically connected with the verification unit, the verification unit is connected with the hospital database through the information inclusion unit, the verification unit is also connected with the information abnormity warning unit, and the information abnormity warning unit is electrically connected with the abnormity database; the information acquisition unit is used for acquiring and storing hospital information, the verification unit is used for verifying the acquired hospital information and evaluating the authenticity and medical level of the hospital information, if the hospital information passes the evaluation, the hospital information is brought into a hospital database, if the hospital information does not pass the evaluation, the information is marked through the information abnormity warning unit, and the marked information is pushed to the abnormity database.
8. A medical health data collecting and analyzing method using the big data based medical health data collecting and analyzing system according to any one of claims 1 to 7, comprising the steps of:
s1, acquiring the detection data of the patient through the data acquisition port, simultaneously transmitting the data to the interior of the total database, and comparing the acquired and input data with the internal data of the total database by using the data comparison module;
s2, a characteristic value of result data generated after the data comparison module finishes comparison processing is extracted independently through a characteristic extraction module, then a characteristic value of corresponding pathological data in a total database is extracted through an analysis and diagnosis module, the similarity is calculated by using a cosine similarity algorithm, whether the similarity reaches a preset similarity threshold value is judged through a diagnosis summary module, if yes, diagnosis and treatment opinion data corresponding to the pathological data are extracted from the total database, and a diagnosis and treatment opinion module generates a diagnosis and treatment opinion report for a patient and medical care personnel to refer according to the diagnosis and treatment opinion data;
s3, the abnormal warning module identifies abnormal data in the summarized data, and sends abnormal warning information to the background authority mobile terminal through the communication module after the abnormal data are found;
s4, transmitting the data sorted by the diagnosis and treatment suggestion module to a diagnosis and treatment recommendation system, and performing recommendation selection on a diagnosis and treatment hospital according to the data sorted by the diagnosis and treatment suggestion module;
and S5, periodically bringing the newly added data into the total database through the data updating system.
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