CN117174260B - Medical image data management system and data analysis method - Google Patents
Medical image data management system and data analysis method Download PDFInfo
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Abstract
The invention relates to a medical image data management system and a data analysis method, wherein the management system comprises: a data acquisition unit: collecting use information and storage information of a PACS system server and various medical examination data acquired by the PACS system; data cleaning and processing unit: cleaning, desensitizing, structuring, coding and data storing and publishing the collected data; analysis unit: the data output by the data cleaning and processing unit is analyzed through a data analysis model to generate corresponding business theme data; visual display unit: and displaying the business theme data generated by the analysis unit. The invention realizes automatic monitoring and acquisition of the related data of the medical image file storage and PACS system, can perform corresponding intelligent analysis on the data and generate corresponding early warning and predictive analysis data, provides accurate auxiliary decision data for hospital operation management, and effectively reduces the problems of manual maintenance, statistics, untimely treatment and the like.
Description
Technical Field
The invention relates to a data management system and a data analysis method, in particular to a medical image data management system and a data analysis method.
Background
Currently, the system used in hospitals to collect, store and efficiently manage medical image data is the PACS system (Picture Archiving and Communication Systems), i.e., the image archiving and transmission system. As an image data management system, the PACS system has the basic functions of data acquisition, data storage, data viewing, data sharing in a local area network and the like. The PACS system is used by doctors, and its functions are also designed mainly around doctors. Currently, doctors use the system to perform film reading, diagnosis, generate diagnostic reports, and the like. However, no intelligent data management and control system based on the medical image PACS exists in the market at present, and the intelligent data management and control system can also have data analysis and processing capacity on the basis of keeping the original acquisition module and the original data storage module, can analyze daily data volume, monthly data volume, hospital data volume, radiological equipment inspection data volume and the like, and can realize simple analysis and the like on the distribution characteristics of data in the system. The development of PACS system greatly facilitates diagnosis of doctors and reduces cost, but since PACS system involves numerous image detection devices such as CT detection device, MRI (nuclear magnetic resonance) detection device, DR (X-ray) detection device, brain wave detection device, ultrasonic detection device, etc., the metadata type output by each detection device is not consistent, the data stored by PACS system cannot be directly used for artificial intelligence algorithm, thus leading to many problems when combining artificial intelligence technology with medical data.
Disclosure of Invention
The invention provides a medical image data management system and a data analysis method, which are used for solving the problem that medical image data stored by a PACS system in the prior art cannot be timely and visually displayed and analyzed, and enabling management staff to timely and intuitively grasp information such as medical image data analysis results and storage space use of a hospital through a management and control view of visual medical image data after processing the data, so that the medical image data management system is convenient for more refined management of the hospital.
The medical image data management system of the present invention includes:
a data acquisition unit: acquiring the use information and medical image file storage information of a PACS system server through a data communication device, and acquiring medical examination data of various medical devices acquired by the PACS system;
data cleaning and processing unit: the data output by the data acquisition unit is received, and the received data is subjected to cleaning, desensitization, structured coding and data persistence storage and release;
analysis unit: receiving the data output by the data cleaning and processing unit, and analyzing the received desensitized data through a data analysis model according to the service requirement of an upper layer to generate corresponding service subject data;
visual display unit: and forming the business topic data generated by the analysis unit into corresponding display forms according to different business topic types, and displaying the corresponding display forms through a display device.
Further, the data acquisition unit is provided with:
medical image server monitoring module: acquiring hardware use information of a PACS system server in real time;
medical image file catalog monitoring module: collecting medical image file storage information in a PACS system server in real time;
various inspection registration information monitoring modules: medical examination data of various medical devices acquired by the PACS system are acquired at fixed time.
Further, the data cleaning and processing unit is provided with:
and a data reading module: reading basic data and case attribute data of each examination case in medical examination data of various medical equipment transmitted by a data acquisition unit;
and a data cleaning module: useless data in the data read by the data reading module is removed;
data desensitization module: desensitizing sensitive or private data in the data processed by the data cleaning module;
and a data structure standard coding module: carrying out unified structured standard coding on medical examination data in different formats of various desensitized medical equipment;
and the data storage and release module is used for: and storing the use information of the PACS system server, the medical image file storage information and various medical examination data coded by the structural specification into a corresponding database.
Further, the analysis unit is provided with:
medical image server state analysis module: carrying out hardware resource occupancy analysis and early warning on the received use information of the PACS system server, the medical image file storage information and the medical examination data of various medical devices;
medical image file energy storage capability analysis module: according to the storage space of various medical image files, analyzing and predicting the storage capacity of the medical image files and the storage capacity of medical image examination and file catalogs within a set time range, and generating corresponding data reports;
medical examination data analysis module: and comparing the same-ratio and/or ring-ratio data according to the received medical examination data of various medical devices, and carrying out statistics and prediction on the various medical image examination data.
Further, the visual display unit is provided with:
visual display module of medical imaging equipment: carrying out visual view display on the statistical information of the medical imaging equipment;
image file storage early warning visual display module: performing visual display and early warning visual display on the storage space of the image file;
medical image per capita storage cost visualization display module: performing visual display on the average storage space of various different medical images;
the visual display module of image storage equipment update prediction: the service condition information and the forecast updated information of each image storage device are visually displayed;
various medical examination prediction data visual display modules: performing visual display on various prediction information of various medical examination data;
visual display module of medical image inspection summary data: and summarizing various medical image examination data and then visually displaying.
The invention also provides a medical image data analysis method based on the medical image data management system, which comprises the following steps:
s1: and (3) data acquisition: acquiring the use information and medical image file storage information of a PACS system server through a data communication device, and acquiring medical examination data of various medical devices acquired by the PACS system;
s2: data cleaning and processing: cleaning, desensitizing, structuring and storing data collected in the step S1 and releasing the data in a lasting way;
s3: data analysis: inputting the cleaned and processed data into a data analysis model for analysis and prediction according to the service requirement of an upper layer, and generating corresponding service subject data;
s4: visual display: and displaying the business theme data through a display device according to different business theme types.
Further, in step S1, the collecting the usage information of the PACS system server includes collecting the hardware usage information of the PACS system server in real time; collecting medical image file storage information comprises collecting medical image file storage information in a PACS system server in real time; collecting medical examination data for various types of medical devices includes periodically collecting medical examination data for various types of medical devices acquired by the PACS system.
Further, in step S2, the basic data and case attribute data of each examination case in the medical examination data of each type of medical equipment acquired in step S1 are read, then each type of data is cleaned and desensitized, useless data and sensitive information are removed, then unified structured standard coding is performed on the medical examination data in different formats after cleaning and desensitization, and finally the data are released and stored in a corresponding database.
Further, in step S3, the method includes performing hardware resource occupancy analysis and early warning according to usage information of the PACS system server, medical image file storage information and medical inspection data of various medical devices, performing analysis and prediction on storage capacity of medical image files and storage capacity of medical image inspection and file catalogues within a set time range according to storage space sizes of various medical image files, generating corresponding data reports, performing comparison of data of the same ratio and/or ring ratio according to medical inspection data of various medical devices, and performing statistics and prediction on the medical image inspection data of various medical devices.
Further, in step S4, according to the analysis result of step S3 and the requirements of different service topic types, the statistical information of the medical image device is displayed in a visual view, the storage space of the image file is displayed in a visual manner and the storage space of the early warning is displayed in a visual manner, the people-average storage space of various different medical images is displayed in a visual manner, the service condition information and the prediction updated information of each image storage device are displayed in a visual manner, the various prediction information of various medical examination data is displayed in a visual manner, and the various medical image examination data are summarized and displayed in a visual manner.
The beneficial effects of the invention include:
1. the method realizes automatic monitoring and acquisition of related data of the medical image file storage and PACS system.
2. The intelligent analysis system can perform corresponding intelligent analysis on the data, automatically generate corresponding early warning and predictive analysis data and provide accurate auxiliary decision data for hospital operation management.
3. Effectively reduces the problems of manual statistical analysis, untimely treatment and the like.
4. The hospital management and operation maintenance personnel can timely master the operation condition of the medical imaging department at any time and any place, timely adjust related medical resources and improve the working efficiency and service experience of the hospital.
Drawings
Fig. 1 is a block diagram of a medical image data management system according to the present invention.
Fig. 2 is a flowchart of a medical image data analysis method according to the present invention.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
As shown in fig. 1, the medical image data management system of the present invention includes:
a data acquisition unit: based on the existing infrastructure layer of the hospital, the related monitoring data required by medical image data management and control are synchronously collected. Acquiring use information and medical image file storage information of a PACS system server through data communication equipment, and acquiring medical examination data of various medical equipment acquired by the PACS system, thereby providing a service support data source function for subsequent services; the medical equipment comprises a radiation RIS (radiology department information system), an ultrasonic USIS (ultrasound information system), a nuclear medicine NMIS (nuclear medicine information system), an endoscope EIS (endoscope information system), an electrophysiological ECGIS (electrophysiological information system), a pathological PIS (pathology information system) and the like;
data cleaning and processing unit: the data output by the data acquisition unit is received, and the received data is subjected to cleaning, desensitization, structured coding and data persistence storage and release;
analysis unit: receiving the data output by the data cleaning and processing unit, and analyzing the received desensitized data through a data analysis model according to the service requirement of an upper layer to generate corresponding service subject data;
visual display unit: visual data display of visual medical images is provided for users, and the business topic data generated by the analysis unit are formed into corresponding display forms according to different business topic types and are displayed through the display device.
In a further embodiment, the data acquisition unit is provided with:
medical image server monitoring module: acquiring hardware use information of a PACS system server in real time;
medical image file catalog monitoring module: collecting medical image file storage information in a PACS system server in real time;
various inspection registration information monitoring modules: medical examination data of various medical devices acquired by the PACS system are acquired at fixed time.
In a further embodiment, the data cleaning and processing unit is provided with:
and a data reading module: reading basic data and case attribute data of each examination case in medical examination data of various medical equipment transmitted by a data acquisition unit;
and a data cleaning module: useless data in the data read by the data reading module is removed;
data desensitization module: desensitizing sensitive or private data in the data processed by the data cleaning module;
and a data structure standard coding module: carrying out unified structured standard coding on medical examination data in different formats of various desensitized medical equipment;
and the data storage and release module is used for: and storing the use information of the PACS system server, the medical image file storage information and various medical examination data coded by the structural specification into a corresponding database.
In a further embodiment, the analysis unit is provided with:
medical image server state analysis module: carrying out hardware resource occupancy analysis and early warning on the received use information of the PACS system server, the medical image file storage information and the medical examination data of various medical devices;
medical image file energy storage capability analysis module: according to the storage space of various medical image files, analyzing and predicting the storage capacity of the medical image files and the storage capacity of medical image examination and file catalogs within a set time range, and generating corresponding data reports;
medical examination data analysis module: and comparing the same-ratio and/or ring-ratio data according to the received medical examination data of various medical devices, and carrying out statistics and prediction on the various medical image examination data.
In a further embodiment, the visual display unit is provided with:
visual display module of medical imaging equipment: carrying out visual view display on the statistical information of the medical imaging equipment;
image file storage early warning visual display module: performing visual display and early warning visual display on the storage space of the image file;
medical image per capita storage cost visualization display module: performing visual display on the average storage space of various different medical images;
the visual display module of image storage equipment update prediction: the service condition information and the forecast updated information of each image storage device are visually displayed;
various medical examination prediction data visual display modules: performing visual display on various prediction information of various medical examination data;
visual display module of medical image inspection summary data: and summarizing various medical image examination data and then visually displaying.
The medical image data management system is developed and realized by adopting a multilayer structural design and applying SpringBoot, mybatis, vue and thymoleaf technologies. The data acquisition unit can periodically collect information of the medical image memory and medical image file storage information by combining SpringBoot, oshi (an operating system and a hardware information base based on JNA) with a timing task, execute an application program of a related task, and then call a data persistence interface of Mybatis to complete data monitoring, acquisition and storage.
As shown in fig. 2, the present invention further provides a medical image data analysis method based on the medical image data management system, which includes the steps of:
s1: and (3) data acquisition: the method comprises the steps of collecting using information and medical image file storage information of a PACS system server through a data communication device, and collecting medical examination data of various medical devices obtained by the PACS system. In the data acquisition, the system is realized through a configuration technology and an information sensing technology, and the system automatically acquires in real time in the whole course without manual intervention, so that continuous data sources are provided for upper-layer services. The medical equipment comprises a radiation RIS (radiology department information system), an ultrasonic USIS (ultrasound information system), a nuclear medicine NMIS (nuclear medicine information system), an endoscope EIS (endoscope information system), an electrophysiological ECGIS (electrophysiological information system) and a pathological PIS (pathology information system);
s2: data cleaning and processing: cleaning, desensitizing, structuring and storing data collected in the step S1 and releasing the data in a lasting way;
s3: data analysis: inputting the cleaned and processed data into a data analysis model for analysis and prediction according to the service requirement of an upper layer, and generating corresponding service subject data;
s4: visual display: and displaying the business theme data through a display device according to different business theme types.
In a further embodiment, in step S1, the collecting the usage information of the PACS system server includes collecting, in real time, the hardware usage information of the PACS system server, such as a memory usage rate, a disk storage rate, a disk remaining space, a CPU occupancy rate, and the like;
collecting medical image file storage information comprises collecting medical image file storage information in a PACS system server in real time, such as the type of medical image files, the used disk capacity of each medical image file, the scanning page number of each medical image file, the disk occupancy rate and capacity of all medical image files and the like;
collecting medical examination data of various medical devices comprises periodically collecting medical examination data of various medical devices acquired by a PACS system, wherein the medical examination data comprises basic data of various examination cases, case attribute data and the like, and for example, the basic data of the examination cases comprise: the name, sex, age, time, detection position, scanning requirement and the like of a patient in CT flat scanning cases; name, sex, age, time, test site, whether or not a developing agent is used, etc. of the patient in the endoscopic case; the name, sex, age, examination time, etc. of the patient in the electrocardiographic case,
the case attribute data includes: the number of scans, the scanning dimension, the disk space used and the like in CT flat scanning cases; the number of image files in the endoscope case, the disk capacity used by the image files, the number of image files and the like; disk space for electrocardiographic cases, etc.
The system also comprises basic data and case attribute data of various examination cases such as ultrasound, electroencephalogram, pathology and the like, wherein the data and the formats are different, and the data and the formats are required to be acquired respectively.
In a further embodiment, in step S2, the basic data and case attribute data of each examination case in the medical examination data of each type of medical equipment acquired in step S1 are read, then each type of data is cleaned and desensitized, useless data and sensitive information (such as patient name and sensitive data) are removed, then the medical examination data in different formats after cleaning and desensitization are subjected to unified structured standard coding, and finally the data are released and stored in a corresponding database.
In a further embodiment, step S3 includes performing hardware resource occupancy analysis and early warning according to usage information of the PACS system server, medical image file storage information, and medical examination data of various medical devices, performing analysis and prediction on storage capacity of medical image files and storage capacity of medical image examination and file catalogues within a set time range according to storage space sizes of the various medical image files, generating corresponding data reports, performing comparison of data of same ratio and/or ring ratio according to medical examination data of the various medical devices, and performing statistics and prediction on the various medical image examination data. Through analysis and prediction, support is provided for data use of the PACS system of the whole hospital and database auxiliary update storage space.
When the data analysis model is used for analysis, all the existing PACS equipment conditions of a hospital are learned firstly, wherein the conditions comprise CT, DR (X-ray examination), MRI (magnetic resonance), ultrasound, pathology, endoscope and the like;
the prior all PACS related examination medical records of the hospital are learned again, including CT chest flat scanning, CT cervical vertebra flat scanning, DR chest righting, DR ankle lateral position, abdomen black and white ultrasonic, thyroid ultrasonic, heart color ultrasonic and the like;
and then generating a prediction algorithm corresponding to each device according to the check medical record generated by each device synchronously. For example: fuji DR, chest inspection righting side position is one each, and after study the inspection result of 5000 people of this equipment, corresponding data 20M/time are generated.
Taking DR equipment as an example, the data analysis model learns examination cases of all DR equipment, and then generates a prediction algorithm for DR examination. For example: fuji DR (20M/times), mo Dong DR (14M/times), aikefa DR (25M/times), aikefa DR2 (30M/times), chest examination positive side positions each one, chest examination data 18M/times were generated by learning.
By learning the past year of the examination case situation of the hospital, and following the history data learning of the last 3-5 years, the annual and monthly fluctuation and growth of the examination person can be predicted.
By predicting the detected quantity and the use condition of the equipment, the auxiliary decision support for updating the storage space can be realized.
In a further embodiment, in step S4, according to the analysis result of step S3 and the requirements of different service topic types, the statistical information of the medical image device is displayed in a visual view, the storage space of the image file is displayed in a visual manner and the storage space of the image file is displayed in an early warning visual manner, the usage information and the prediction update information of various different medical images are displayed in a visual manner, the various prediction information of various medical examination data is displayed in a visual manner, and the various medical image examination data are summarized and displayed in a visual manner.
According to the invention, the medical image file storage and the automatic monitoring and acquisition of the related data of the PACS system are realized, the medical image data are subjected to the desensitization and cleaning and then are subjected to the persistent storage, then the corresponding intelligent analysis is carried out on various data by combining with the algorithm of the data analysis model, the corresponding early warning and predictive analysis data are automatically generated, and the accurate auxiliary decision data are provided for the operation management of a hospital, so that the problems of manual statistical analysis, untimely treatment and the like are effectively reduced; the hospital management and operation maintenance personnel can timely master the operation condition of the medical imaging department at any time and any place, timely adjust related medical resources, and effectively improve the working efficiency and service experience of the hospital.
The foregoing examples merely represent specific embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that, for those skilled in the art, it is possible to make related modifications and improvements without departing from the technical idea of the present application, which are all included in the protection scope of the present application.
Claims (8)
1. A medical image data management system, comprising:
a data acquisition unit: acquiring the use information and medical image file storage information of a PACS system server through a data communication device, and acquiring medical examination data of various medical devices acquired by the PACS system;
data cleaning and processing unit: the data output by the data acquisition unit is received, and the received data is subjected to cleaning, desensitization, structured coding and data persistence storage and release;
the data cleaning and processing unit is provided with a data structuring and canonical encoding module: carrying out unified structured standard coding on medical examination data in different formats of various desensitized medical equipment;
analysis unit: receiving the data output by the data cleaning and processing unit, and analyzing the received desensitized data through a data analysis model according to the service requirement of an upper layer to generate corresponding service subject data; the annual and monthly inspector fluctuation and growth are predicted by learning the condition of the inspected cases in the past year of the hospital and the history data; the auxiliary decision support for updating the storage space is realized through the prediction of the detected quantity and the equipment use condition;
the analysis unit is provided with:
medical image server state analysis module: carrying out hardware resource occupancy analysis and early warning on the received use information of the PACS system server, the medical image file storage information and the medical examination data of various medical devices;
medical image file energy storage capability analysis module: according to the storage space of various medical image files, analyzing and predicting the storage capacity of the medical image files and the storage capacity of medical image examination and file catalogs within a set time range, and generating corresponding data reports;
medical examination data analysis module: comparing the same ratio and/or ring ratio data according to the received medical examination data of various medical devices, and carrying out statistics and prediction on the various medical image examination data;
visual display unit: and forming the business topic data generated by the analysis unit into corresponding display forms according to different business topic types, and displaying the corresponding display forms through a display device.
2. The medical image data management system of claim 1, wherein: the data acquisition unit is provided with:
medical image server monitoring module: acquiring hardware use information of a PACS system server in real time;
medical image file catalog monitoring module: collecting medical image file storage information in a PACS system server in real time;
various inspection registration information monitoring modules: medical examination data of various medical devices acquired by the PACS system are acquired at fixed time.
3. The medical image data management system of claim 1, wherein: the data cleaning and processing unit is provided with:
and a data reading module: reading basic data and case attribute data of each examination case in medical examination data of various medical equipment transmitted by a data acquisition unit;
and a data cleaning module: useless data in the data read by the data reading module is removed;
data desensitization module: desensitizing sensitive or private data in the data processed by the data cleaning module;
and the data storage and release module is used for: and storing the use information of the PACS system server, the medical image file storage information and various medical examination data coded by the structural specification into a corresponding database.
4. The medical image data management system of claim 1, wherein: the visual display unit is provided with:
visual display module of medical imaging equipment: carrying out visual view display on the statistical information of the medical imaging equipment;
image file storage early warning visual display module: performing visual display and early warning visual display on the storage space of the image file;
medical image per capita storage cost visualization display module: performing visual display on the average storage space of various different medical images;
the visual display module of image storage equipment update prediction: the service condition information and the forecast updated information of each image storage device are visually displayed;
various medical examination prediction data visual display modules: performing visual display on various prediction information of various medical examination data;
visual display module of medical image inspection summary data: and summarizing various medical image examination data and then visually displaying.
5. A medical image data analysis method based on a medical image data management system according to one of claims 1 to 4, characterized by comprising the steps of:
s1: and (3) data acquisition: acquiring the use information and medical image file storage information of a PACS system server through a data communication device, and acquiring medical examination data of various medical devices acquired by the PACS system;
s2: data cleaning and processing: cleaning, desensitizing, structuring and storing data collected in the step S1 and releasing the data in a lasting way;
s3: data analysis: inputting the cleaned and processed data into a data analysis model for analysis and prediction according to the service requirement of an upper layer, and generating corresponding service subject data;
analyzing and early warning the occupancy rate of hardware resources according to the use information of a PACS system server, the storage information of medical image files and the medical examination data of various medical devices, analyzing and predicting the storage capacity of the medical image files and the storage capacity of medical image examination and file catalogues within a set time range according to the storage space size of the various medical image files, generating a corresponding data report, comparing the data of the medical examination data of the various medical devices in the same ratio and/or in the ring ratio, and carrying out statistics and prediction on the data of the various medical image examination data;
when the data analysis model analyzes, the condition of all PACS equipment in a hospital is learned firstly, all PACS related examination medical records in the hospital are learned, and then a prediction algorithm corresponding to each equipment is generated according to the examination medical records generated by each equipment at the same time;
s4: visual display: and displaying the business theme data through a display device according to different business theme types.
6. The medical image data analysis method according to claim 5, wherein: in step S1, the collecting the usage information of the PACS system server includes collecting the hardware usage information of the PACS system server in real time; collecting medical image file storage information comprises collecting medical image file storage information in a PACS system server in real time; collecting medical examination data for various types of medical devices includes periodically collecting medical examination data for various types of medical devices acquired by the PACS system.
7. The medical image data analysis method according to claim 5, wherein: in step S2, the basic data and case attribute data of each examination case in the medical examination data of each type of medical equipment acquired in step S1 are read, then each type of data is cleaned and desensitized, useless data and sensitive information are removed, then the medical examination data in different formats after cleaning and desensitization are subjected to uniform structured standard coding, and finally the data are released and stored in corresponding databases.
8. The medical image data analysis method according to claim 5, wherein: in step S4, according to the analysis result of step S3 and the requirements of different service topic types, the statistical information of the medical image equipment is respectively displayed in a visual view, the storage space of the image file is visually displayed and the pre-warning is visually displayed, the average storage space of various different medical images is visually displayed, the service condition information and the prediction update information of each image storage device are visually displayed, the various prediction information of various medical examination data is visually displayed, and the various medical image examination data are summarized and then visually displayed.
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