CN117272403B - Ultrasonic image data safety management system and method based on big data - Google Patents
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Abstract
The invention discloses an ultrasonic image data safety management system and method based on big data, and relates to the technical field of big data management. The invention is used for solving the technical problems that when aiming at ultrasonic image data management, multiple aspects of calibration is not carried out to avoid the occurrence of error data and the comprehensive processing of data privacy and integrity is lacking. Dividing ultrasonic image data into metadata, image-text data and a diagnosis report, integrating according to the characteristics of the metadata to generate a plurality of metadata sets, generating signals related to data consistency legal, correction and review after calibration analysis processing, and carrying out subsequent privacy integrity processing on the metadata sets with the data consistency legal; the calibration analysis processing of the metadata set can calibrate the collected multidimensional data, ensure that the ultrasonic image data is consistent with the actual conditions recorded by the original record or the database, improve the consistency and the legality of the ultrasonic image data to be processed, and prevent the entry of error data.
Description
Technical Field
The invention belongs to the technical field of big data management systems, and particularly relates to an ultrasonic image data safety management system and method based on big data.
Background
With the widespread popularity of ultrasound equipment, the secure management of ultrasound image data is becoming an increasingly interesting issue. Traditional data storage and access methods may have risks of data leakage, tampering and the like. The ultrasonic image data refers to medical ultrasonic image data for diagnosing and monitoring the health condition of a patient, and the composition of the ultrasonic image data comprises basic information, pictures and texts and diagnosis results; the basic information comprises basic information of a patient, examination part information and ultrasonic machine information; the image-text comprises an ultrasonic image and an ultrasonic description, wherein the ultrasonic description part is used for basically detecting and measuring the size and shape of the information of the checked part of the patient and carrying out ultrasonic description on the whole information of the checked part and/or the occupied lesion.
The existing ultrasound image data management system does not perform various calibration to avoid the occurrence of error data when aiming at ultrasound image data management, and meanwhile, lacks comprehensive processing on data privacy and integrity, and needs further improvement.
Disclosure of Invention
The invention aims to provide an ultrasonic image data safety management system and method based on big data, which are used for solving the technical problems that in the prior art, when the ultrasonic image data is managed, multiple aspects of calibration is not performed to avoid the occurrence of error data, and meanwhile, the comprehensive processing on the data privacy and integrity is lacked.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
The invention provides an ultrasonic image data safety management system based on big data, which comprises an image data recording module, an image data calibrating module, an image data processing module, an encryption processing module, a distributed storage module and a remote access module;
The image data recording module is used for recording metadata, image-text data and diagnostic reports of the ultrasonic image data, integrating and generating a plurality of metadata sets according to the characteristics of the metadata, and transmitting the metadata sets to the image data calibration module;
the image data calibration module is used for performing calibration analysis processing on the metadata sets and generating a data consistent legal signal, a data correction signal or a data review signal; the system is also used for transmitting the metadata set corresponding to the data consistent legal signal to the image data processing module, correcting the metadata set corresponding to the data correction signal, and rechecking the metadata set corresponding to the data rechecking signal;
The image data processing module is used for carrying out privacy integrity processing on the metadata set corresponding to the data consistent legal signal and integrating a privacy data subset and an integrity data subset; and the system is also used for transmitting the privacy data subset to the encryption processing module and transmitting the integrity data subset to the distributed storage module.
Preferably, the metadata of the ultrasound image data includes patient basic information, examination site information, and ultrasound machine information; the patient basic information includes patient name, patient ID, date of birth, and sex; the examination part information refers to a specific examination part of the ultrasonic image; the ultrasonic machine information comprises ultrasonic equipment model numbers, ultrasonic equipment serial numbers and manufacturer information;
The image-text data comprises an ultrasonic image and an ultrasonic text description, and the ultrasonic image comprises a B-mode image, a color Doppler image, a dynamic image, a three-dimensional/four-dimensional image, blood flow imaging and tissue elastography according to types; the text description comprises quantitative text and qualitative text;
diagnostic reports include normal conclusions, abnormal conclusions, disease diagnosis, and treatment recommendations.
Preferably, the step of generating a plurality of metadata sets from metadata feature integration is as follows:
s101, extracting patient basic information, examination part information and text information in ultrasonic machine information of metadata, and respectively converting the patient basic information text, examination part information text and ultrasonic machine information text into a patient basic information text, examination part information text and ultrasonic machine information text in a unified format;
s102, classifying the basic information text of the patient, the information text of the examination part and the information text of the ultrasonic machine matched with each patient into a metadata set, and classifying the image-text data and the diagnosis report matched with the patient into the metadata set to generate a plurality of unique metadata sets matched with the patient.
Preferably, the step of performing the calibration analysis process on the plurality of metadata sets is as follows:
s201, extracting a patient name and a patient ID in a basic information text of a patient in a metadata set matched with the patient, extracting a specific examination part in an examination part information text in the metadata set matched with the patient, and extracting an ultrasonic equipment model in an ultrasonic machine information text in the metadata set matched with the patient; extracting the resolution of an ultrasonic image of the graphic data; extracting a normal conclusion, an abnormal conclusion and disease diagnosis from the diagnosis report;
s202, traversing metadata, image-text data and diagnostic reports of ultrasonic image data in an image data recording module, and calibrating the patient name, the patient ID and the specific examination position extracted in the step S201 with the metadata, the image-text data and the diagnostic reports; calibrating the extracted ultrasonic equipment model and an ultrasonic equipment model database; calibrating the resolution of the extracted ultrasonic image with a preset standard resolution, and calibrating a normal conclusion, an abnormal conclusion and text words in disease diagnosis in a diagnosis report with a diagnosis report database;
S203, generating a data consistency legal signal when the information is completely consistent with the information in the image data recording module, the ultrasonic equipment model database and the diagnosis report database; generating a data correction signal when the patient ID and any one or more pieces of information in the normal conclusion, the abnormal conclusion and the disease diagnosis in the diagnosis report are inconsistent; and generating a data rechecking signal when any one or more of the patient name, the specific examination part, the ultrasonic equipment model and the resolution of the ultrasonic image are inconsistent.
Preferably, the privacy integrity processing is performed on the metadata set corresponding to the data consistent legal signal, and the specific steps of integrating the privacy data subset and the integrity data subset are as follows:
s301, traversing a diagnosis report in a metadata set corresponding to a data consistent legal signal, and integrating the metadata set corresponding to the patient into a privacy data subset when an abnormal conclusion and disease diagnosis appear in the diagnosis report;
and S302, traversing a diagnosis report in a metadata set corresponding to the data consistent legal signal, and integrating the metadata set corresponding to the patient into an integrity data subset when a normal conclusion is generated in the diagnosis report and no abnormal conclusion, disease diagnosis and treatment suggestion are generated in the diagnosis report.
Preferably, the encryption processing module is configured to encrypt the privacy data subset to obtain an encrypted privacy subset, and send the encrypted privacy subset to the medical care end of the remote access module.
Preferably, the distributed storage module is configured to perform distributed storage on the integrity data subset to form a plurality of distributed storage subsets, and backup the distributed storage subsets to the medical care end and the user end of the remote access module.
The invention also provides an ultrasonic image data safety management method based on big data, which comprises the following steps:
S1, recording and integrating image data: recording metadata, graphic data and diagnostic reports of the ultrasonic image data, and integrating and generating a plurality of metadata sets according to the characteristics of the metadata;
S2, calibration analysis processing: performing calibration analysis processing on the metadata sets to generate a data coincidence legal signal, a data correction signal or a data check signal;
S3, correction processing and rechecking processing: when the patient IDs are inconsistent, regenerating the patient ID by adopting the identifier, and replacing the patient ID in the previous metadata; when the normal conclusion, the abnormal conclusion or the disease diagnosis in the diagnosis report are inconsistent, sending a correction prompt to a medical care end of the remote access module to prompt medical staff to verify and correct; when the name, specific checking position or ultrasonic equipment model of the patient are inconsistent, sending a review prompt to a medical care end of the remote access module to remind medical staff to review; when the resolutions of the ultrasonic images are inconsistent, deleting the ultrasonic images inconsistent with the preset standard resolution, and reserving the ultrasonic images consistent with the standard resolution; returning the corrected and rechecked metadata set to the step S2 to continue the calibration analysis processing;
S4, privacy integrity processing: performing privacy integrity processing on the metadata set corresponding to the data consistent legal signal, and integrating a privacy data subset and an integrity data subset;
S5, encryption processing and distributed storage: the privacy data subset is encrypted to obtain an encrypted privacy subset, and the encrypted privacy subset is sent to a medical care end of the remote access module; forming a plurality of distributed storage subsets after the distributed storage of the integrity data subsets, and backing up the distributed storage subsets to a medical care end and a user end of the remote access module;
S6, remote access: the medical care terminal is used for correcting a normal conclusion, an abnormal conclusion or disease diagnosis in the diagnosis report after the medical care personnel logs in through an account number and a password, rechecking the name of a patient, a specific checking position or the model of ultrasonic equipment, and consulting and downloading an encryption privacy subset; the user terminal is used for consulting and downloading the distributed storage subset corresponding to the user after the user logs in through the account number and the password.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:
According to the invention, ultrasonic image data are divided into metadata, image-text data and diagnostic reports, a plurality of metadata sets are generated according to metadata characteristic integration, a plurality of signals are generated after calibration analysis processing, the metadata sets with consistent and legal data are subjected to subsequent privacy integrity processing, and the metadata sets corresponding to the corrected and rechecked signals are subjected to further calibration analysis processing after correction and rechecked processing until consistent and legal data are obtained; the calibration analysis processing of the metadata set can calibrate the collected multidimensional data, ensure that the ultrasonic image data is consistent with the actual conditions recorded by the original record or the database, improve the consistency and the legality of the ultrasonic image data to be processed, and prevent the entry of error data.
The privacy integrity processing integrates the privacy data subset and the integrity data subset through the key feature identification, so that the follow-up targeted encryption processing is conveniently carried out on the privacy data subset, the targeted distributed storage processing is carried out on the integrity data subset, the privacy and the integrity of the ultrasonic image data are ensured, the management system is safer and more reliable, and errors and omission of the data are not easy to generate.
In the invention, a plurality of key characteristic data in the metadata set are extracted during calibration analysis processing, the key characteristic data are calibrated with the recorded original data, the ultrasonic equipment model database, the preset standard resolution and the diagnosis report data set, different signals are generated according to the calibration result of the key characteristic data, the further processing of the complete consistency metadata set and the targeted processing of other signal data are facilitated, and the consistency and the legality of the ultrasonic image data are ensured by the integration method.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 shows a block schematic diagram of the ultrasound image data security management system based on big data of the present invention;
FIG. 2 is a flow chart of the ultrasound image data security management method based on big data of the present invention;
FIG. 3 illustrates a flow chart of metadata feature integration to generate multiple metadata sets in accordance with the present invention;
FIG. 4 is a flow chart illustrating a calibration analysis process for a metadata set in accordance with the present invention;
fig. 5 shows a flow chart of the privacy integrity process of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the present embodiment provides an ultrasound image data security management system based on big data. The ultrasonic image data refers to medical ultrasonic image data for diagnosing and monitoring the health condition of a patient, and the composition of the ultrasonic image data comprises basic information, pictures and texts and diagnosis results; the basic information comprises basic information of a patient, examination part information and ultrasonic machine information; the image-text comprises an ultrasonic image and an ultrasonic description, wherein the ultrasonic description part is used for basically detecting and measuring the size and shape of the information of the checked part of the patient and carrying out ultrasonic description on the whole information of the checked part and/or the occupied lesion.
Specifically, the ultrasonic image data safety management system comprises an image data recording module, an image data calibrating module, an image data processing module, an encryption processing module, a distributed storage module and a remote access module.
The image data recording module is used for recording metadata, image-text data and diagnostic reports of the ultrasonic image data, integrating and generating a plurality of metadata sets according to the characteristics of the metadata, and transmitting the metadata sets to the image data calibration module. Set s= { x 1,x2,...xn }; where x n is the metadata set ,xn（xn 1,xn 2,xn 3,...xn i）,xn 1,xn 2,xn 3,...xn i of the nth patient, each item of information of each metadata set, i and n are positive integers.
Wherein, the metadata of the ultrasonic image data comprises patient basic information, examination part information and ultrasonic machine information. Patient basic information is used to identify and identify the patient, including patient name, patient ID, date of birth, and gender; examination site information refers to specific examination sites of ultrasound images, such as chest, head, abdomen; the ultrasonic machine information is model information of ultrasonic imaging equipment and is used for identifying characteristics and manufacturers of the ultrasonic imaging equipment, and comprises ultrasonic equipment models, ultrasonic equipment serial numbers and manufacturer information. The patient ID is generated by an identifier used internally in the hospital for uniquely identifying the patient in the medical record. The ultrasound device model includes its model number and model identifier. The ultrasonic device serial number is unique for uniquely identifying the device. The manufacturer information includes the manufacturer and brand name of the ultrasound device.
The image-text data comprises an ultrasonic image and an ultrasonic text description, and the ultrasonic image comprises a B-mode image, a color Doppler image, a dynamic image, a three-dimensional/four-dimensional image, blood flow imaging and tissue elastography according to types; the textual description includes quantitative text and qualitative text, the quantitative text including dimensional measurements, blood flow velocity measurements, elastic parameter measurements, and density measurements. The size measurement results comprise measurement results of the length, width, diameter and the like of organs, tumors and the like; blood flow velocity measurements include the velocity of blood flow in a blood vessel for assessing blood flow conditions; the elastic parameter measurement results are used for tissue elastography, such as parameters of hardness of the tumor and the like; the density measurements are used to measure differences in density of tissue, helping to distinguish between different tissue types. Qualitative text includes structural descriptions, anomaly descriptions, and blood flow state descriptions. The structural description includes features of anatomy, shape, size, location, etc. of the organ; the abnormal description comprises abnormal areas appearing in the image, such as the appearance, the position and the like of a tumor, a cyst and the like; the blood flow state description includes blood flow states such as normal, impaired, abnormal blood flow, etc.
Diagnostic reports are diagnostic results, including normal conclusions, abnormal conclusions, disease diagnosis, and treatment recommendations. For example, a normal conclusion indicates that no significant abnormality is found in the image and that the patient's organ or tissue is in a normal state; the abnormal conclusion indicates that abnormal findings exist in the image, which may be tumors, cysts and the like; disease diagnosis provides specific disease diagnosis results, such as pneumonia, liver tumor, etc.; the treatment advice is to provide treatment advice such as surgery, medication, etc.
The image data calibration module is used for performing calibration analysis processing on the metadata sets and generating a data consistent legal signal, a data correction signal or a data review signal; and the metadata set corresponding to the data coincidence legal signal is transmitted to the image data processing module, the metadata set corresponding to the data correction signal is subjected to correction processing, and the metadata set corresponding to the data rechecking signal is subjected to rechecking processing.
The image data processing module is used for carrying out privacy integrity processing on the metadata set corresponding to the data consistent legal signal and integrating a privacy data subset and an integrity data subset; and the system is also used for transmitting the privacy data subset to the encryption processing module and transmitting the integrity data subset to the distributed storage module.
Set a= { y 1,y2,...yp } of privacy data subsets; where y p is the metadata set ,yp（yp 1,yp 2,yp 3,...yp a）,yp 1,yp 2,yp 3,...yp a of the p-th patient, which represents each item of information of each privacy data subset, and a and p are positive integers.
Set b= { x 1,x2,...xq } of integrity data subsets; where x q is the q-th patient metadata set ,xq（xq 1,xq 2,xq 3,...xq b）,xq 1,xq 2,xq 3,...xq b representing each item of information for each integrity data subset, and b and q are positive integers.
Referring to fig. 3, the steps of generating a plurality of metadata sets according to metadata feature integration are as follows:
S101, extracting patient basic information, examination part information and text information in ultrasonic machine information of metadata, and respectively converting the patient basic information text, examination part information text and ultrasonic machine information text into a patient basic information text, examination part information text and ultrasonic machine information text in a unified format; the unified format is selected from XML format or CSV format; the unified format enables the metadata to have a consistent structure after integration;
s102, classifying the basic information text of the patient, the information text of the examination part and the information text of the ultrasonic machine matched with each patient into a metadata set, and classifying the image-text data and the diagnosis report matched with the patient into the metadata set to generate a plurality of unique metadata sets matched with the patient.
Referring to fig. 4, the steps of performing calibration analysis processing on a plurality of metadata sets are as follows:
s201, extracting a patient name and a patient ID in a basic information text of a patient in a metadata set matched with the patient, extracting a specific examination part in an examination part information text in the metadata set matched with the patient, and extracting an ultrasonic equipment model in an ultrasonic machine information text in the metadata set matched with the patient; extracting the resolution of an ultrasonic image of the graphic data; extracting a normal conclusion, an abnormal conclusion and disease diagnosis from the diagnosis report;
s202, traversing metadata, image-text data and diagnostic reports of ultrasonic image data in an image data recording module, and calibrating the patient name, the patient ID and the specific examination position extracted in the step S201 with the metadata, the image-text data and the diagnostic reports; calibrating the extracted ultrasonic equipment model and an ultrasonic equipment model database; calibrating the resolution of the extracted ultrasonic image with a preset standard resolution, and calibrating a normal conclusion, an abnormal conclusion and text words in disease diagnosis in a diagnosis report with a diagnosis report database;
The ultrasonic equipment model database is obtained by pre-storing ultrasonic equipment models sold and used in the market; the range of values for the preset standard resolution varies depending on the ultrasound equipment, the type of probe, etc., and generally has a lateral resolution of between 0.1mm and 2mm, a longitudinal resolution of between 0.1mm and 2mm, and a spatial resolution of between 1mm and 2 mm. The diagnosis report database stores accurate text words in normal conclusion, abnormal conclusion and disease diagnosis in advance, for example, the text words of the normal conclusion are: no obvious abnormality is found in the image, and the organ and tissue states of the patient are normal; the text of the abnormal conclusion is: abnormal findings in the images may be tumors, cysts, etc.; the text of disease diagnosis is: pneumonia, liver tumor, etc. Calibration of the diagnostic report database is to check whether text words in normal conclusions, abnormal conclusions, and disease diagnostics are consistent with accurate text words.
S203, generating a data consistency legal signal when the information is completely consistent with the information in the image data recording module, the ultrasonic equipment model database and the diagnosis report database; generating a data correction signal when the patient ID and any one or more pieces of information in the normal conclusion, the abnormal conclusion and the disease diagnosis in the diagnosis report are inconsistent; and generating a data rechecking signal when any one or more of the patient name, the specific examination part, the ultrasonic equipment model and the resolution of the ultrasonic image are inconsistent.
The method for integrating metadata comprises the steps of editing and converting text information into various information texts in a unified format, classifying image-text data and diagnostic reports matched with patients into metadata sets, and generating unique metadata sets matched with the patients, so that the basic composition and format of the metadata are consistent, and the integrity of the metadata sets of the patients is maintained; and during calibration analysis processing, extracting a plurality of key characteristic data in the metadata set, calibrating the key characteristic data with the recorded original data, the preset standard resolution, the ultrasonic equipment model database and the diagnosis report data set, generating different signals according to the calibration result of the key characteristic data, facilitating the further processing of the complete consistency metadata set and the targeted processing of other signal data, and ensuring the consistency and legality of ultrasonic image data by the integration method.
The correction process includes the steps of: when the patient IDs are inconsistent, regenerating the patient ID by adopting the identifier, and replacing the patient ID in the previous metadata; and when the normal conclusion, the abnormal conclusion or the disease diagnosis in the diagnosis report are inconsistent, sending a correction prompt to a medical care end of the remote access module to prompt medical staff to verify and correct.
The rechecking process comprises the following steps: when the name, specific checking position or ultrasonic equipment model of the patient are inconsistent, sending a review prompt to a medical care end of the remote access module to remind medical staff to review; when the resolutions of the ultrasonic images are inconsistent, deleting the ultrasonic images inconsistent with the preset standard resolution, and reserving the ultrasonic images consistent with the standard resolution.
The correction processing and the rechecking processing are combined in a mode of regenerating, modifying and rechecking by medical staff and deleting according to different key characteristic data, and the automatic processing and the subjective processing of the medical staff are combined, so that the flexibility of processing the inconsistent legal ultrasonic image data is improved.
Referring to fig. 5, the specific steps of privacy integrity processing is performed on the metadata set corresponding to the data consistent legal signal, and the integration of the privacy data subset and the integrity data subset are as follows:
s301, traversing a diagnosis report in a metadata set corresponding to a data consistent legal signal, and integrating the metadata set corresponding to the patient into a privacy data subset when an abnormal conclusion and disease diagnosis appear in the diagnosis report;
and S302, traversing a diagnosis report in a metadata set corresponding to the data consistent legal signal, and integrating the metadata set corresponding to the patient into an integrity data subset when a normal conclusion is generated in the diagnosis report and no abnormal conclusion, disease diagnosis and treatment suggestion are generated in the diagnosis report.
According to the ultrasonic image data safety management system based on big data, ultrasonic image data is divided into metadata, image-text data and a diagnosis report, a plurality of metadata sets are generated according to metadata characteristic integration, signals related to data consistency legal, correction and review are generated after calibration analysis processing, the metadata sets corresponding to the correction and review signals are subjected to subsequent privacy integrity processing, and the metadata sets corresponding to the correction and review signals are subjected to calibration analysis processing after correction and review processing until consistent legal data are obtained; the calibration analysis processing of the metadata set can calibrate the collected multidimensional data, ensure that the ultrasonic image data is consistent with the actual conditions recorded by the original record or the database, improve the consistency and the legality of the ultrasonic image data to be processed, and prevent the entry of error data; the privacy integrity processing integrates the privacy data subset and the integrity data subset through key feature recognition, so that the follow-up targeted encryption processing is conveniently carried out on the privacy data subset, the targeted distributed storage processing is carried out on the integrity data subset, the privacy and the integrity of the ultrasonic image data are ensured, the management system is safer and more reliable, and errors and omission of the data are not easy to generate.
Example 2
Referring to fig. 1, in the ultrasound image data security management system based on big data of this embodiment, on the basis of embodiment 1, the composition and functions of the encryption processing module, the distributed storage module and the remote access module are further defined.
The encryption processing module is used for obtaining an encrypted privacy subset after the privacy data subset is encrypted, and sending the encrypted privacy subset to the medical care end of the remote access module;
and the distributed storage module is used for forming a plurality of distributed storage subsets after the integrity data subsets are subjected to distributed storage, and backing up the distributed storage subsets to the medical care end and the user end of the remote access module.
The remote access module comprises a medical care end and a user end; the medical care terminal is used for correcting a normal conclusion, an abnormal conclusion or disease diagnosis in the diagnosis report after the medical care personnel logs in through an account number and a password, rechecking the name of a patient, a specific checking position or the model of ultrasonic equipment, and consulting and downloading an encryption privacy subset; the user terminal is used for consulting and downloading the distributed storage subset corresponding to the user after the user logs in through the account number and the password.
The encryption processing generates a secret key for an encryption algorithm, and encrypts texts and images in the privacy data subset by using the encryption algorithm and the secret key to generate an encrypted privacy subset; the encryption algorithm is selected from a symmetric encryption algorithm, an asymmetric encryption algorithm or a hash function, and the symmetric encryption algorithm is selected from AES, DES or 3DES.
The distributed storage is realized by randomly dividing an integrity data subset into a plurality of data subset fragments, and copying the plurality of data subset fragments to a plurality of server nodes; a particularly useful technique is a distributed file system such as HDFS, an object storage system such as AMazon S.
According to the embodiment, the privacy data subset is encrypted and then sent to the medical care end of the remote access module, and the integrity data subset is stored in a distributed mode and sent to the medical care end and the user end of the remote access module, so that protection of the privacy data is improved, and medical care personnel and users can conveniently review and download ultrasonic image data.
Example 3
Referring to fig. 2, the method for managing ultrasound image data security based on big data in this embodiment includes the following steps:
S1, recording and integrating image data: recording metadata, graphic data and diagnostic reports of the ultrasonic image data, and integrating and generating a plurality of metadata sets according to the characteristics of the metadata;
S2, calibration analysis processing: performing calibration analysis processing on the metadata sets to generate a data coincidence legal signal, a data correction signal or a data check signal;
S3, correction processing and rechecking processing: when the patient IDs are inconsistent, regenerating the patient ID by adopting the identifier, and replacing the patient ID in the previous metadata; when the normal conclusion, the abnormal conclusion or the disease diagnosis in the diagnosis report are inconsistent, sending a correction prompt to a medical care end of the remote access module to prompt medical staff to verify and correct; when the name, specific checking position or ultrasonic equipment model of the patient are inconsistent, sending a review prompt to a medical care end of the remote access module to remind medical staff to review; when the resolutions of the ultrasonic images are inconsistent, deleting the ultrasonic images inconsistent with the preset standard resolution, and reserving the ultrasonic images consistent with the standard resolution; returning the corrected and rechecked metadata set to the step S2 to continue the calibration analysis processing;
S4, privacy integrity processing: performing privacy integrity processing on the metadata set corresponding to the data consistent legal signal, and integrating a privacy data subset and an integrity data subset;
S5, encryption processing and distributed storage: the privacy data subset is encrypted to obtain an encrypted privacy subset, and the encrypted privacy subset is sent to a medical care end of the remote access module; forming a plurality of distributed storage subsets after the distributed storage of the integrity data subsets, and backing up the distributed storage subsets to a medical care end and a user end of the remote access module;
S6, remote access: the medical care terminal is used for correcting a normal conclusion, an abnormal conclusion or disease diagnosis in the diagnosis report after the medical care personnel logs in through an account number and a password, rechecking the name of a patient, a specific checking position or the model of ultrasonic equipment, and consulting and downloading an encryption privacy subset; the user terminal is used for consulting and downloading the distributed storage subset corresponding to the user after the user logs in through the account number and the password.
The method for safely managing the ultrasonic image data based on big data comprises the steps of image data recording, integration, calibration analysis processing, correction processing, rechecking processing, privacy integrity processing, encryption processing, distributed storage and remote access, wherein the calibration analysis processing can ensure that the ultrasonic image data is consistent with the actual conditions recorded in an original record or database, and the consistency and the legality of the ultrasonic image data to be processed are improved; the privacy integrity processing integrates the privacy data subset and the integrity data subset through key feature recognition, so that the follow-up targeted encryption processing is conveniently carried out on the privacy data subset, the targeted distributed storage processing is carried out on the integrity data subset, and the privacy and the integrity of the ultrasonic image data are ensured.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The ultrasonic image data safety management system based on big data is characterized by comprising an image data recording module, an image data calibrating module, an image data processing module, an encryption processing module, a distributed storage module and a remote access module;
The image data recording module is used for recording metadata, image-text data and diagnostic reports of the ultrasonic image data, integrating and generating a plurality of metadata sets according to the characteristics of the metadata, and transmitting the metadata sets to the image data calibration module;
the image data calibration module is used for performing calibration analysis processing on the metadata sets and generating a data consistent legal signal, a data correction signal or a data review signal; the system is also used for transmitting the metadata set corresponding to the data consistent legal signal to the image data processing module, correcting the metadata set corresponding to the data correction signal, and rechecking the metadata set corresponding to the data rechecking signal;
The image data processing module is used for carrying out privacy integrity processing on the metadata set corresponding to the data consistent legal signal and integrating a privacy data subset and an integrity data subset; the system is also used for transmitting the privacy data subset to the encryption processing module and transmitting the integrity data subset to the distributed storage module;
The metadata of the ultrasonic image data comprises patient basic information, examination part information and ultrasonic machine information; the patient basic information includes patient name, patient ID, date of birth, and sex; the examination part information refers to a specific examination part of the ultrasonic image; the ultrasonic machine information comprises ultrasonic equipment model numbers, ultrasonic equipment serial numbers and manufacturer information;
The image-text data comprises an ultrasonic image and an ultrasonic text description, and the ultrasonic image comprises a B-mode image, a color Doppler image, a dynamic image, a three-dimensional/four-dimensional image, blood flow imaging and tissue elastography according to types; the text description comprises quantitative text and qualitative text;
Diagnostic reports include normal conclusions, abnormal conclusions, disease diagnosis, and treatment recommendations;
The step of generating a plurality of metadata sets based on metadata feature integration is as follows:
s101, extracting patient basic information, examination part information and text information in ultrasonic machine information of metadata, and respectively converting the patient basic information text, examination part information text and ultrasonic machine information text into a patient basic information text, examination part information text and ultrasonic machine information text in a unified format;
S102, classifying a patient basic information text, an examination part information text and an ultrasonic machine information text matched with each patient into a metadata set, classifying image-text data and a diagnosis report matched with the patient into the metadata set, and generating a plurality of unique metadata sets matched with the patient;
the steps of performing calibration analysis processing on the plurality of metadata sets are as follows:
s201, extracting a patient name and a patient ID in a basic information text of a patient in a metadata set matched with the patient, extracting a specific examination part in an examination part information text in the metadata set matched with the patient, and extracting an ultrasonic equipment model in an ultrasonic machine information text in the metadata set matched with the patient; extracting the resolution of an ultrasonic image of the graphic data; extracting a normal conclusion, an abnormal conclusion and disease diagnosis from the diagnosis report;
s202, traversing metadata, image-text data and diagnostic reports of ultrasonic image data in an image data recording module, and calibrating the patient name, the patient ID and the specific examination position extracted in the step S201 with the metadata, the image-text data and the diagnostic reports; calibrating the extracted ultrasonic equipment model and an ultrasonic equipment model database; calibrating the resolution of the extracted ultrasonic image with a preset standard resolution, and calibrating a normal conclusion, an abnormal conclusion and text words in disease diagnosis in a diagnosis report with a diagnosis report database;
s203, generating a data consistency legal signal when the information is completely consistent with the information in the image data recording module, the ultrasonic equipment model database and the diagnosis report database; generating a data correction signal when the patient ID and any one or more pieces of information in the normal conclusion, the abnormal conclusion and the disease diagnosis in the diagnosis report are inconsistent; generating a data rechecking signal when any one or more of the patient name, the specific examination part, the ultrasonic equipment model and the resolution of the ultrasonic image are inconsistent;
The method comprises the specific steps of carrying out privacy integrity processing on metadata sets corresponding to data consistent legal signals, and integrating a privacy data subset and an integrity data subset, wherein the specific steps are as follows:
s301, traversing a diagnosis report in a metadata set corresponding to a data consistent legal signal, and integrating the metadata set corresponding to the patient into a privacy data subset when an abnormal conclusion and disease diagnosis appear in the diagnosis report;
and S302, traversing a diagnosis report in a metadata set corresponding to the data consistent legal signal, and integrating the metadata set corresponding to the patient into an integrity data subset when a normal conclusion is generated in the diagnosis report and no abnormal conclusion, disease diagnosis and treatment suggestion are generated in the diagnosis report.
2. The ultrasound image data security management system based on big data according to claim 1, wherein the encryption processing module is configured to encrypt the subset of private data to obtain an encrypted subset of private data, and send the encrypted subset of private data to the medical care end of the remote access module.
3. The ultrasound image data security management system based on big data according to claim 1, wherein the distributed storage module is configured to perform distributed storage on the integrity data subset to form a plurality of distributed storage subsets, and backup the distributed storage subsets to the medical care end and the user end of the remote access module.
4. The ultrasound image data safety management method based on big data, which is applicable to the ultrasound image data safety management system based on big data as claimed in any one of claims 1 to 3, is characterized by comprising the following steps:
S1, recording and integrating image data: recording metadata, graphic data and diagnostic reports of the ultrasonic image data, and integrating and generating a plurality of metadata sets according to the characteristics of the metadata;
S2, calibration analysis processing: performing calibration analysis processing on the metadata sets to generate a data coincidence legal signal, a data correction signal or a data check signal;
S3, correction processing and rechecking processing: when the patient IDs are inconsistent, regenerating the patient ID by adopting the identifier, and replacing the patient ID in the previous metadata; when the normal conclusion, the abnormal conclusion or the disease diagnosis in the diagnosis report are inconsistent, sending a correction prompt to a medical care end of the remote access module to prompt medical staff to verify and correct; when the name, specific checking position or ultrasonic equipment model of the patient are inconsistent, sending a review prompt to a medical care end of the remote access module to remind medical staff to review; when the resolutions of the ultrasonic images are inconsistent, deleting the ultrasonic images inconsistent with the preset standard resolution, and reserving the ultrasonic images consistent with the standard resolution; returning the corrected and rechecked metadata set to the step S2 to continue the calibration analysis processing;
S4, privacy integrity processing: performing privacy integrity processing on the metadata set corresponding to the data consistent legal signal, and integrating a privacy data subset and an integrity data subset;
S5, encryption processing and distributed storage: the privacy data subset is encrypted to obtain an encrypted privacy subset, and the encrypted privacy subset is sent to a medical care end of the remote access module; forming a plurality of distributed storage subsets after the distributed storage of the integrity data subsets, and backing up the distributed storage subsets to a medical care end and a user end of the remote access module;
S6, remote access: the medical care terminal is used for correcting a normal conclusion, an abnormal conclusion or disease diagnosis in the diagnosis report after the medical care personnel logs in through an account number and a password, rechecking the name of a patient, a specific checking position or the model of ultrasonic equipment, and consulting and downloading an encryption privacy subset; the user terminal is used for consulting and downloading the distributed storage subset corresponding to the user after the user logs in through the account number and the password.
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