CN115714004A - Information filing management system for medical images - Google Patents
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Abstract
The invention belongs to the technical field of archive management, and particularly relates to an information archiving management system facing medical images, which comprises an archive management platform, wherein the archive management platform is in communication connection with an archiving application verification module, an information archiving analysis module, a storage optimization feedback module and an archive management comprehensive early warning module; according to the invention, application verification before medical image filing is carried out through the filing application verification module, so that the safety performance of a file management platform is improved, the daily filing analysis and storage optimization analysis are carried out through the information filing analysis module and the storage optimization feedback module, the daily filing analysis and storage optimization analysis are carried out through the file management comprehensive early warning module, the terminal management and control personnel carry out storage space optimization or expansion and file classification filing program optimization as required, and the smooth filing of subsequent medical image files is ensured.
Description
Technical Field
The invention relates to the technical field of archive management, in particular to an information archiving management system for medical images.
Background
The medical image archive is image data formed by a plurality of examinations of X-ray, CT, magnetic resonance, ultrasound, nuclear medicine and the like, with the application of advanced medical equipment instruments, auxiliary examination items are more and more, the data volume of medical images is more and more, people urgently need various image archives with strong timeliness and high value to realize information sharing, when the medical image archive is archived at present, the uploaded medical image archive package is classified and stored through an archive management platform, the conventional archive management platform cannot evaluate the smooth archiving condition of the medical image archive, cannot automatically perform storage optimization analysis on the archive management platform, and cannot ensure the rapid and smooth archiving of the subsequent medical image archive;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide an information archiving and management system for medical images, which solves the problems that the prior art can not evaluate the smooth archiving condition of medical image files, can not automatically perform storage optimization analysis on an archive management platform, and can not ensure the rapid and smooth archiving of subsequent medical image files.
In order to achieve the purpose, the invention provides the following technical scheme:
an information archiving management system facing medical images comprises an archive management platform, an archiving application verification module, an information archiving analysis module, a storage optimization feedback module and an archive management comprehensive early warning module, wherein the archive management platform is in communication connection with the archiving application verification module, the information archiving analysis module, the storage optimization feedback module and the archive management comprehensive early warning module;
the filing application verification module is used for the application terminal to carry out application verification before medical image filing, generating a verification success signal or a verification failure signal after the application verification is carried out, sending the verification success signal or the verification failure signal to the application terminal, starting uploading the medical image file after the application terminal receives the verification success signal, and carrying out re-verification until the verification is successful after the application terminal receives the verification failure signal;
the information archiving analysis module is used for performing daily archiving analysis, generating an archiving judgment signal Y1 or an archiving judgment signal Y2 through the daily archiving analysis, and sending the archiving judgment signal Y1 or the archiving judgment signal Y2 to the archive management platform; the storage optimization feedback module is used for performing storage analysis on the archive management platform, generating a storage judgment signal W1 or a storage judgment signal W2 through the storage analysis, and sending the storage judgment signal W1 or the storage judgment signal W2 to the archive management platform;
the archive management platform sends the received archive judgment signal Y1 or archive judgment signal Y2 and storage judgment signal W1 or storage judgment signal W2 to the archive management comprehensive early warning module, and the archive management comprehensive early warning module performs early warning analysis based on the archive judgment signal Y1 or archive judgment signal Y2 and storage judgment signal W1 or storage judgment signal W2 and sends early warning analysis results to the early warning management and control terminal.
Further, the daily archiving analysis process of the information archiving analysis module is as follows:
acquiring a file storage value and a file storage value of the medical image file, wherein the file storage value represents a data quantity value corresponding to the size of the memory of the medical image file, and the file storage value represents a data quantity value corresponding to the size of time consumed by the file entry of the medical image file; carrying out numerical calculation on the archive storage value and the archive storage value to obtain an archive qualification coefficient, calling a preset archive qualification coefficient threshold value, and comparing the archive qualification coefficient with the archive qualification coefficient threshold value; if the filing qualification coefficient is larger than the filing qualification coefficient threshold value, judging that the classified storage process of the corresponding medical image file is qualified and marking the corresponding medical image file as a qualified storage file, and if the filing qualification coefficient is smaller than or equal to the filing qualification coefficient threshold value, judging that the classified storage process of the corresponding medical image file is unqualified and marking the corresponding medical image file as an unqualified storage file;
counting the number of qualified storage archives and the number of unqualified storage archives on the day, marking the qualified storage archives as combined storage numbers and non-combined storage numbers, calculating the ratio of the combined storage numbers and the non-combined storage numbers to obtain an archiving effect value, calling a preset archiving effect value threshold value, and comparing the archiving effect value with the archiving effect value threshold value; if the filing effect value is larger than the filing effect value threshold value, marking the corresponding working day as a filing effect good day, and if the filing effect value is smaller than or equal to the filing effect value threshold value, marking the corresponding working day as a filing effect bad day; an archive determination signal Y1 is generated when the date of effective archive is determined to be good, and an archive determination signal Y2 is generated when the date of ineffective archive is determined to be bad.
Further, the storage analysis process of the storage optimization feedback module is as follows:
acquiring medical image files stored in a file management platform and marking the medical image files as i, i = {1,2, \8230;, n }, wherein n represents the number of the medical image files stored in the file management platform and is a positive integer greater than 1; acquiring a real storage value and a preset storage threshold value of the file management platform, calculating a difference value between the storage threshold value and the real storage value, and marking the difference value as a storage limit coefficient;
acquiring a different-grade coefficient of the file management platform through analysis, acquiring a preset storage limit coefficient threshold value and a different-grade coefficient threshold value, respectively comparing the storage limit coefficient and the different-grade coefficient with the storage limit coefficient threshold value and the different-grade coefficient threshold value, and if the storage limit coefficient is larger than the storage limit coefficient threshold value and the different-grade coefficient is smaller than the different-grade coefficient threshold value, generating a storage judgment signal W1;
otherwise, carrying out numerical calculation on the storage limit coefficient and the shift coefficient to obtain a storage emergency value, obtaining a preset storage emergency value threshold, comparing the storage emergency value with the storage emergency value threshold, if the storage emergency value is larger than or equal to the storage emergency value threshold, generating a storage judgment signal W2, otherwise, generating a storage judgment signal W1.
Further, the method for analyzing and acquiring the difference coefficient specifically comprises the following steps:
acquiring storage information of a medical image archive i, wherein the storage information of the medical image archive i comprises an archive frequency modulation value, an archive time modulation value and an archive remaining value, the archive frequency modulation value represents a data quantity value corresponding to the size of the calling times of the medical image archive in unit time, the archive time modulation value represents a data quantity value corresponding to the size of the interval duration between the current time of the medical image archive and the last calling time, and the archive remaining value represents a data quantity value corresponding to the size of the duration between the current time of the medical image archive and the preset storage expiration date;
performing optimization analysis on the medical image file to obtain an optimizable file coefficient, calling a preset optimizable coefficient threshold value, and comparing the optimizable file coefficient with the optimizable coefficient threshold value; if the optimizable coefficient of the file is greater than or equal to the optimizable coefficient threshold value, marking the corresponding medical image file as an optimizable file, and if the optimizable coefficient of the file is less than the optimizable coefficient threshold value, marking the corresponding medical file as a relay file; counting the number of optimizable files and the number of survivor files in the file management platform, calculating the ratio of the number of optimizable files to the number of survivor files, and marking the ratio of the number of optimizable files to the number of survivor files as a file difference coefficient.
Further, the concrete early warning analysis process of the file management comprehensive early warning module is as follows:
acquiring a filing judgment signal Y1 or a filing judgment signal Y2 and a storage judgment signal W1 or a storage judgment signal W2 sent by a file management platform, carrying out intersection analysis on the filing judgment signal and the storage judgment signal, generating a primary control signal, a secondary control signal or a tertiary control signal through the intersection analysis, and sending the primary control signal, the secondary control signal or the tertiary control signal to an early warning control terminal.
Further, the analysis process of intersection analysis is specifically as follows:
when receiving the filing judgment signal Y1 and the storage judgment signal W1, generating a first-level control signal, when receiving the filing judgment signal Y2 and the storage judgment signal W2, generating a third-level control signal, and otherwise generating a second-level control signal.
Further, the specific process of the filing application verification is as follows:
generating a main verification instruction, sending the main verification instruction to an application terminal, wherein the main verification instruction is identity information verification, the identity information verification comprises name verification and identity card number verification, after receiving the main verification instruction, the application terminal inputs a corresponding name and an identity card number and feeds the corresponding name and the identity card number back to a filing application verification module, the filing application verification module compares the name and the identity card number input by the application user with identity information in an identity database, if the corresponding name and the identity card number exist in the identity database and are matched with each other, generating an auxiliary verification instruction and sending the auxiliary verification instruction to the application terminal, and otherwise, generating a verification failure signal and sending the verification failure signal to the application terminal.
Further, the auxiliary verification instruction is fingerprint verification, after receiving the auxiliary verification instruction, the application terminal applies for a user to input a fingerprint and feeds the fingerprint back to the filing application verification module, the filing application verification module compares the fingerprint of the application user with fingerprint information in a fingerprint database, if a corresponding fingerprint exists in the fingerprint database and the fingerprint is matched with a corresponding name person, a verification success signal is generated and sent to the application terminal, and if not, a verification failure signal is generated and sent to the application terminal.
Compared with the prior art, the invention has the beneficial effects that:
the invention carries out application verification before medical image filing on an application terminal through a filing application verification module to judge whether a corresponding application user has related authority, ensures the safe filing of medical image files and improves the safety performance of a file management platform, an information filing analysis module divides corresponding working days into filing good days or filing bad days based on the filing condition of the medical images on the same day and generates a filing judgment signal Y1 or a filing judgment signal Y2, a storage optimization feedback module carries out storage analysis on the file management platform and generates a storage judgment signal W1 or a storage judgment signal W2, a file management comprehensive early warning module carries out comprehensive management judgment on daily filing analysis and storage optimization analysis, generates a primary control signal, a secondary control signal or a tertiary control signal and transmits the primary control signal, the secondary control signal or the tertiary control signal to an early warning control terminal, and a terminal control personnel of the early warning control terminal can carry out storage space optimization or expansion and file classification filing program optimization as required to ensure the smooth filing of the subsequent medical image files.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, the information archiving and management system for medical images, provided by the invention, comprises an archive management platform, wherein the archive management platform is in communication connection with an archiving application verification module, an information archiving analysis module, a storage optimization feedback module and an archive management comprehensive early warning module, the archive management platform and the archiving application verification module are in communication connection with an application terminal, and the archive management comprehensive early warning module is in communication connection with an early warning management and control terminal;
the filing application verification module is used for the application terminal to carry out application verification before medical image filing, generating a verification success signal or a verification failure signal after the application verification is carried out, sending the verification success signal or the verification failure signal to the application terminal, starting uploading the medical image file after the application terminal receives the verification success signal, and carrying out re-verification until the verification is successful after the application terminal receives the verification failure signal; the information archiving analysis module carries out daily archiving analysis, generates an archiving judgment signal Y1 or an archiving judgment signal Y2 through the daily archiving analysis, and the daily archiving analysis process of the information archiving analysis module is as follows:
s1, acquiring an archive storage value and an archive storage value of a medical image archive and respectively marking the archive storage value and the archive storage value as DC and DS, wherein the archive storage value DC represents a data quantity value of the memory size occupied by the corresponding medical image archive, and the archive storage value DS represents a data quantity value of the time consumption of classifying and archiving the corresponding medical image archive;
step S2, through
The value of the stored value and the stored value of the file are calculated by numerical calculationAcquiring a filing qualification coefficient GHX of the corresponding medical image file after numerical value calculation; wherein a1 and a2 are preset proportionality coefficients, the values of a1 and a2 are both greater than zero, and a1 is greater than a2;
it should be noted that the filing qualification coefficient GHX reflects the filing smoothness of the corresponding medical image file, and the larger the value of the filing qualification coefficient GHX is, the smoother the classification filing process of the corresponding medical image file is, otherwise, the smoother the classification filing process of the corresponding medical image file is;
s3, a preset filing qualified coefficient threshold value is called, and the filing qualified coefficient threshold value are compared; if the filing qualification coefficient is larger than the filing qualification coefficient threshold value, judging that the classified storage process of the corresponding medical image file is qualified and marking the corresponding medical image file as a qualified storage file, and if the filing qualification coefficient is smaller than or equal to the filing qualification coefficient threshold value, judging that the classified storage process of the corresponding medical image file is unqualified and marking the corresponding medical image file as an unqualified storage file;
s4, counting the number of qualified storage files and the number of unqualified storage files on the day, marking the qualified storage files and the unqualified storage files as a combined storage number HCS and a non-combined storage number FCS, and calculating the ratio of the combined storage number and the non-combined storage number to obtain a filing effect value GXZ, namely GXZ = HCS/(FCS + g 1); wherein g1 is a preset correction factor, and the value of g1 is 0.75;
s5, calling a preset filing effect value threshold, and comparing the filing effect value GXZ with the filing effect value threshold; if the filing effect value GXZ is larger than the filing effect value threshold, marking the corresponding working day as a filing effect good day, and if the filing effect value GXZ is smaller than or equal to the filing effect value threshold, marking the corresponding working day as a filing effect bad day;
and a step S6 of generating an archive determination signal Y1 when the date of high archive efficiency is determined, and generating an archive determination signal Y2 when the date of low archive efficiency is determined. And the information archiving analysis module sends the generated archiving judgment signal Y1 or archiving judgment signal Y2 to the archive management platform.
The storage optimization feedback module performs storage analysis on the archive management platform, and generates a storage judgment signal W1 or a storage judgment signal W2 through the storage analysis; the specific operation process of the storage optimization feedback module is as follows:
step T1, medical image files stored in the file management platform are obtained and marked as i, i = {1,2, \ 8230;, n }, n represents the number of the medical image files stored in the file management platform, and n is a positive integer greater than 1;
t2, acquiring a real storage value and a preset storage threshold value of the archive management platform, calculating a difference value between the storage threshold value and the real storage value, and marking the difference value as a storage limit coefficient CXX; the real memory value represents a data quantity value of the size of the storage space actually occupied by the file management platform;
and T3, obtaining the file difference coefficient of the file management platform through analysis, wherein the analysis and obtaining method of the file difference coefficient is as follows:
step T31, acquiring storage information of a medical image archive i, wherein the storage information of the medical image archive i comprises an archive frequency modulation value, an archive time modulation value and an archive remaining value which are marked as DPi, ASi and SSi, wherein the archive frequency modulation value DPi represents a data quantity value corresponding to the calling times of the medical image archive in unit time, the archive time modulation value ASi represents a data quantity value corresponding to the interval duration between the current time of the medical image archive and the last calling time, and the archive remaining value SSi represents a data quantity value corresponding to the duration between the current time of the medical image archive and a preset storage expiration date;
step T32, passing formula
Performing optimization analysis on the medical image file to obtain a file optimization coefficient KYi; wherein ku1, ku2 and ku3 are preset proportionality coefficients, the values of ku1, ku2 and ku3 are all larger than zero, and ku1 is larger than ku2 is larger than ku3; the larger the numerical value of the archive optimization coefficient KYi is, the higher the possibility that the corresponding medical image archive needs to be optimized and deleted is, and otherwise, the higher the possibility that the corresponding medical image archive needs to be continuously stored is;
t33, a preset optimizable coefficient threshold value is called, the file optimizable coefficient KYi and the optimizable coefficient threshold value are compared, if the file optimizable coefficient KYi is larger than or equal to the optimizable coefficient threshold value, the corresponding medical image file is marked as an optimizable file, and if the file optimizable coefficient KYi is smaller than the optimizable coefficient threshold value, the corresponding medical file is marked as a relay file;
step T34, counting the number of optimizable files and the number of relay files in the file management platform, respectively marking as YHs and JCs, calculating the ratio of the number of optimizable files YHs to the number of relay files JCs, and marking the ratio of the two as a differential coefficient DYX; namely DYX = YHs/(JCs + g 2), g2 is a preset correction factor and g2 is 0.87;
step T4, acquiring preset memory coefficient threshold values and different gear coefficient threshold values, respectively comparing the memory coefficient CXX and different gear coefficient DYX with the memory coefficient threshold values and different gear coefficient threshold values, and if the memory coefficient CXX is larger than the memory coefficient threshold values and the different gear coefficient DYX is smaller than the different gear coefficient threshold values, generating a storage judgment signal W1; otherwise, pass through
Carrying out numerical calculation on the storage limit coefficient and the shift coefficient, and obtaining a storage priority value CJZ after the numerical calculation, wherein hu1 and hu2 are preset proportional coefficients, values of hu1 and hu2 are both larger than zero, and hu1 is larger than hu2;
and obtaining a preset storage urgency value threshold, comparing the storage urgency value CJZ with the storage urgency value threshold, if the storage urgency value CJZ is larger than or equal to the storage urgency value threshold, generating a storage judgment signal W2, and otherwise, generating a storage judgment signal W1. And the storage optimization feedback module sends the storage judgment signal W1 or the storage judgment signal W2 to the archive management platform.
The archives management platform will receive archive decision signal Y1 or archive decision signal Y2 and storage decision signal W1 or storage decision signal W2 and send to archives management comprehensive early warning module, archives management comprehensive early warning module carries out early warning analysis based on archive decision signal Y1 or archive decision signal Y2 and storage decision signal W1 or storage decision signal W2, archives management comprehensive early warning module's specific early warning analytic process as follows:
acquiring an archiving judgment signal Y1 or an archiving judgment signal Y2 and a storage judgment signal W1 or a storage judgment signal W2 sent by an archive management platform, carrying out intersection analysis on the archiving judgment signal and the storage judgment signal, generating a primary control signal when receiving the archiving judgment signal Y1 and the storage judgment signal W1, generating a tertiary control signal when receiving the archiving judgment signal Y2 and the storage judgment signal W2, and generating a secondary control signal under the other conditions; the file management comprehensive early warning module sends a first-level control signal, a second-level control signal or a third-level control signal to the early warning control terminal, and the early warning control terminal sends out early warning prompt tones and displays corresponding early warning text information when receiving the second-level control signal or the third-level control signal.
When the early warning management and control terminal receives the first-level management and control signal, the early warning management and control terminal does not need to make any feedback, when the early warning management and control terminal receives the second-level management and control signal, the terminal management and control personnel of the early warning management and control terminal can select to optimize the storage space of the archive management platform or optimize the archive classification filing program according to needs, and when the early warning management and control terminal receives the third-level management and control signal, the terminal management and control personnel of the early warning management and control terminal can optimize the storage space of the archive management platform or expand the storage space and optimize the archive classification filing program according to needs, so that the subsequent medical image archive can be successfully filed.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The second embodiment:
the specific process of filing application verification is as follows:
generating a main verification instruction, sending the main verification instruction to an application terminal, wherein the main verification instruction is identity information verification, the identity information verification comprises name verification and identity card number verification, after receiving the main verification instruction, the application terminal inputs a corresponding name and an identity card number and feeds the corresponding name and the identity card number back to a filing application verification module, the filing application verification module compares the name and the identity card number input by the application user with identity information in an identity database, if the corresponding name and the identity card number exist in the identity database and are matched with each other, generating an auxiliary verification instruction and sending the auxiliary verification instruction to the application terminal, and otherwise, generating a verification failure signal and sending the verification failure signal to the application terminal.
The auxiliary verification instruction is fingerprint verification, the application terminal receives the auxiliary verification instruction, the application user inputs a fingerprint and feeds the fingerprint back to the filing application verification module, the filing application verification module compares the fingerprint of the application user with fingerprint information in a fingerprint database, if the fingerprint database has a corresponding fingerprint and the fingerprint is matched with a corresponding name person, a verification success signal is generated and sent to the application terminal, otherwise, a verification failure signal is generated and sent to the application terminal, the safety filing of the medical image archive is ensured through a double verification mode of filing application verification, and the archive filing information is associated with the corresponding operator so as to facilitate subsequent tracing.
The working process and principle of the invention are as follows:
when the system is used, the application verification module performs application verification on the application terminal before medical image filing to judge whether a corresponding application user has related authority, and the application terminal starts uploading the medical image file after receiving a verification success signal, so that the safety filing of the medical image file is ensured, and the safety performance of the file management platform is improved; the method comprises the steps that an information archiving analysis module marks an archived medical image archive as a qualified storage archive or an unqualified storage archive, and a corresponding working day is divided into an archiving effect good day or an archiving effect bad day based on the medical image archiving condition of the day and an archiving judgment signal Y1 or an archiving judgment signal Y2 is generated; the storage optimization feedback module performs storage analysis on the archive management platform to obtain a storage limit coefficient and a shift coefficient, and generates a storage judgment signal W1 or a storage judgment signal W2 through analysis based on the storage limit coefficient and the shift coefficient; the archive management platform sends the received archive judgment signal Y1 or archive judgment signal Y2 and storage judgment signal W1 or storage judgment signal W2 to the archive management comprehensive early warning module, so that the comprehensive management of daily archive analysis and storage optimization analysis is realized, the archive management comprehensive early warning module generates a primary management control signal, a secondary management control signal or a tertiary management control signal and sends the primary management control signal, the secondary management control signal or the tertiary management control signal to the early warning management control terminal, and a terminal management and control personnel of the early warning management control terminal can optimize or expand storage space and optimize an archive classification archive filing program as required to ensure the smooth filing of subsequent medical image archives.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. An information filing management system for medical images is characterized by comprising a file management platform, a filing application verification module, an information filing analysis module, a storage optimization feedback module and a file management comprehensive early warning module, wherein the file management platform is in communication connection with the filing application verification module, the information filing analysis module, the storage optimization feedback module and the file management comprehensive early warning module;
the filing application verification module is used for performing filing application verification before medical image filing by the application terminal, generating a verification success signal or a verification failure signal after the application verification is performed, sending the verification success signal or the verification failure signal to the application terminal, starting uploading the medical image file after the application terminal receives the verification success signal, and re-verifying until the verification is successful after the application terminal receives the verification failure signal;
the information archiving analysis module is used for carrying out daily archiving analysis, generating an archiving judgment signal Y1 or an archiving judgment signal Y2 through the daily archiving analysis, and sending the archiving judgment signal Y1 or the archiving judgment signal Y2 to the archive management platform; the storage optimization feedback module is used for performing storage analysis on the archive management platform, generating a storage judgment signal W1 or a storage judgment signal W2 through the storage analysis, and sending the storage judgment signal W1 or the storage judgment signal W2 to the archive management platform;
the archive management platform sends the received archive judgment signal Y1 or archive judgment signal Y2 and storage judgment signal W1 or storage judgment signal W2 to the archive management comprehensive early warning module, and the archive management comprehensive early warning module performs early warning analysis based on the archive judgment signal Y1 or archive judgment signal Y2 and storage judgment signal W1 or storage judgment signal W2 and sends early warning analysis results to the early warning management and control terminal.
2. The system of claim 1, wherein the daily archive analysis process of the information archive analysis module is as follows:
acquiring a file storage value and a file storage value of the medical image file, wherein the file storage value represents a data quantity value corresponding to the size of the memory of the medical image file, and the file storage value represents a data quantity value corresponding to the size of time consumed by the file entry of the medical image file; carrying out numerical calculation on the archive storage value and the archive storage value to obtain an archive qualification coefficient, calling a preset archive qualification coefficient threshold value, and comparing the archive qualification coefficient with the archive qualification coefficient threshold value; if the filing qualified coefficient is larger than the filing qualified coefficient threshold value, judging that the classified storage process of the corresponding medical image file is qualified, marking the corresponding medical image file as a qualified storage file, and if the filing qualified coefficient is smaller than or equal to the filing qualified coefficient threshold value, judging that the classified storage process of the corresponding medical image file is unqualified, and marking the corresponding medical image file as an unqualified storage file;
counting the number of qualified storage archives and the number of unqualified storage archives on the day, marking the qualified storage archives as combined storage numbers and non-combined storage numbers, calculating the ratio of the combined storage numbers and the non-combined storage numbers to obtain an archiving effect value, calling a preset archiving effect value threshold value, and comparing the archiving effect value with the archiving effect value threshold value; if the filing effect value is larger than the filing effect value threshold value, marking the corresponding working day as a valid filing day, and if the filing effect value is smaller than or equal to the filing effect value threshold value, marking the corresponding working day as a valid filing day; an archive determination signal Y1 is generated when the date of effective archive is determined to be good, and an archive determination signal Y2 is generated when the date of ineffective archive is determined to be bad.
3. The system of claim 1, wherein the storage optimization feedback module performs the following storage analysis process:
acquiring medical image files stored in a file management platform and marking the medical image files as i, i = {1,2, \8230;, n }, wherein n represents the number of the medical image files stored in the file management platform and is a positive integer greater than 1; acquiring a real memory value and a preset memory threshold value of the file management platform, calculating a difference value between the memory threshold value and the real memory value, and marking the difference value as a memory limit coefficient;
acquiring a different-grade coefficient of the file management platform through analysis, acquiring a preset storage limit coefficient threshold value and a different-grade coefficient threshold value, respectively comparing the storage limit coefficient and the different-grade coefficient with the storage limit coefficient threshold value and the different-grade coefficient threshold value, and if the storage limit coefficient is larger than the storage limit coefficient threshold value and the different-grade coefficient is smaller than the different-grade coefficient threshold value, generating a storage judgment signal W1;
otherwise, carrying out numerical calculation on the storage limit coefficient and the shift coefficient to obtain a storage emergency value, obtaining a preset storage emergency value threshold, comparing the storage emergency value with the storage emergency value threshold, if the storage emergency value is larger than or equal to the storage emergency value threshold, generating a storage judgment signal W2, otherwise, generating a storage judgment signal W1.
4. The system of claim 3, wherein the method for analyzing and obtaining the variance factors comprises:
acquiring storage information of a medical image archive i, wherein the storage information of the medical image archive i comprises an archive frequency modulation value, an archive time modulation value and an archive remaining value, the archive frequency modulation value represents a data quantity value corresponding to the size of the calling times of the medical image archive in unit time, the archive time modulation value represents a data quantity value corresponding to the size of the interval duration between the current time of the medical image archive and the last calling time, and the archive remaining value represents a data quantity value corresponding to the size of the duration between the current time of the medical image archive and the preset storage expiration date;
performing optimization analysis on the medical image file to obtain an optimizable file coefficient, calling a preset optimizable coefficient threshold value, and comparing the optimizable file coefficient with the optimizable coefficient threshold value; if the optimizable coefficient of the file is greater than or equal to the optimizable coefficient threshold value, marking the corresponding medical image file as an optimizable file, and if the optimizable coefficient of the file is less than the optimizable coefficient threshold value, marking the corresponding medical file as a relay file; counting the number of optimizable files and the number of survivor files in the file management platform, calculating the ratio of the number of optimizable files to the number of survivor files, and marking the ratio of the number of optimizable files to the number of survivor files as a file difference coefficient.
5. The medical image-oriented information archiving and management system according to claim 1, wherein the specific early warning analysis process of the archive management comprehensive early warning module is as follows:
acquiring a filing judgment signal Y1 or a filing judgment signal Y2 and a storage judgment signal W1 or a storage judgment signal W2 sent by a file management platform, carrying out intersection analysis on the filing judgment signal and the storage judgment signal, generating a primary control signal, a secondary control signal or a tertiary control signal through the intersection analysis, and sending the primary control signal, the secondary control signal or the tertiary control signal to an early warning control terminal.
6. The system of claim 5, wherein the analysis process of intersection analysis is as follows:
when receiving the filing judgment signal Y1 and the storage judgment signal W1, generating a first-level control signal, when receiving the filing judgment signal Y2 and the storage judgment signal W2, generating a third-level control signal, and otherwise generating a second-level control signal.
7. The system of claim 1, wherein the specific process of filing application verification is as follows:
generating a main verification instruction, sending the main verification instruction to an application terminal, wherein the main verification instruction is identity information verification, the identity information verification comprises name verification and identity card number verification, the application terminal receives the main verification instruction, then an application user inputs a corresponding name and an identity card number and feeds the corresponding name and the identity card number back to a filing application verification module, the filing application verification module compares the name and the identity card number input by the application user with identity information in an identity database, if the corresponding name and the identity card number exist in the identity database and are matched with each other, an auxiliary verification instruction is generated and sent to the application terminal, and otherwise, a verification failure signal is generated and sent to the application terminal.
8. The medical image-oriented information archiving and management system according to claim 7, wherein the auxiliary verification instruction is fingerprint verification, the application terminal receives the auxiliary verification instruction, the application user enters a fingerprint and feeds the fingerprint back to the archiving application verification module, the archiving application verification module compares the fingerprint of the application user with fingerprint information in a fingerprint database, if a corresponding fingerprint exists in the fingerprint database and the fingerprint is matched with a corresponding name person, a verification success signal is generated and sent to the application terminal, and if not, a verification failure signal is generated and sent to the application terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211507705.3A CN115714004A (en) | 2022-11-25 | 2022-11-25 | Information filing management system for medical images |
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| CN202211507705.3A CN115714004A (en) | 2022-11-25 | 2022-11-25 | Information filing management system for medical images |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116741350A (en) * | 2023-08-16 | 2023-09-12 | 枣庄市山亭区妇幼保健院 | File management system for hospital X-ray images |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116741350A (en) * | 2023-08-16 | 2023-09-12 | 枣庄市山亭区妇幼保健院 | File management system for hospital X-ray images |
| CN116741350B (en) * | 2023-08-16 | 2023-10-31 | 枣庄市山亭区妇幼保健院 | File management system for hospital X-ray images |
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