A diagnosis and treatment data management system based on large model

Abstract

The present invention relates to the field of medical data management, and in particular to a diagnosis and treatment data management system based on a large model, comprising: an information collection module for collecting medical information of users, a data generation module for forming an electronic medical archive data set, a data storage module for storing the electronic medical archive data set, a cloud storage module for uploading the stored data to the cloud, a retrieval module for retrieving and retrieving the electronic medical archive data set, a detection module for detecting the information of the electronic medical archive data set, a determination module for determining a processing method for a local electronic medical archive data set of a single user, and an adjustment module for adjusting the parameters of the data of the electronic medical archive data set to corresponding values ​​according to the determination result of the central control module, and optimizing the diagnosis and treatment data by constructing an optimization model, thereby reducing data redundancy and improving the management efficiency of the diagnosis and treatment data.

Description

Technical Field

[0001] The present invention relates to the field of medical data management, and in particular to a diagnosis and treatment data management system based on a large model. Background Art

[0002] In today's hospital archive management, hospital electronic diagnosis and treatment data management has become the mainstream of hospital archive management. The electronic archive management model conforms to the current trend of digital information development. Through various information systems, such as clinical information management methods, medical management systems, decision support systems, etc., it not only brings convenience to hospital management, but also improves the efficiency of hospital services. With the continuous development of management methods and management models, medical informatization will develop in the direction of regional integration and cross-hospital resource sharing. Among them, establishing a complete and reasonable hospital medical archive management method has a significant effect on promoting the normal operation of hospitals and the advancement of medical technology.

[0003] Chinese patent publication number: CN115274034A, discloses a shared medical health record management system including: a data collection unit, a security management unit, a health data management cloud platform and a cloud storage unit; the data collection unit is used to enter the user's health data through a wireless network; the security management unit is used to review the user's identity and uploaded data, and is also used for data encryption; the health data management cloud platform is used to perform data analysis and processing, and to conduct disease risk assessment and early warning, and is also used to exchange information with a third party, and the health data management cloud platform is set up in a shared medical center; the cloud storage unit is used to store the user's health data and establish an independent health record. It can be seen that if the diagnosis and treatment data is not optimized, it will cause redundant storage data in the long run, resulting in data confusion, thereby affecting the system's work efficiency. Summary of the invention

[0004] To this end, the present invention provides a diagnosis and treatment data management system based on a large model to overcome the problem in the prior art that the stored diagnosis and treatment data is not optimized, resulting in redundant and chaotic storage data, thereby affecting the working efficiency of the diagnosis and treatment data management system.

[0005] To achieve the above object, the present invention provides a diagnosis and treatment data management system based on a large model, comprising:

[0006] The information collection module is used to collect the user's medical information, which includes diagnosis information, prescription information, examination information, test information, electronic medical record information, and charging information;

[0007] A data generation module, which is connected to the information collection module and is used to integrate the diagnosis and treatment information of the user collected by the information collection module to form an electronic medical record data set;

[0008] A data storage module, connected to the data generation module, for storing the electronic medical record data set to form a local electronic medical record data set;

[0009] a cloud storage module connected to the data storage module and used to store the local electronic medical record data set transmitted by the data storage module to form a cloud electronic medical record data set;

[0010] A retrieval module, which is connected to the data storage module and the cloud storage module respectively, and is used to retrieve and retrieve the local electronic medical record data set and the cloud electronic medical record data set;

[0011] a detection module, which is connected to the information collection module, the data generation module, the data storage module, the cloud storage module and the retrieval module respectively, and is used to detect the classification of the cases in the electronic medical archive, the retrieval frequency of the electronic medical archive data set, the number of bytes of the electronic medical archive data set and the storage duration of the electronic medical archive data set;

[0012] A central control module, which is connected to the detection module, and is used to determine the processing method of the local electronic medical archive data set for a single user according to the archive evaluation value. If the local electronic medical archive data set of a single user does not meet the preset standard, the central control module determines the discarding standard for the medical archive data set according to the byte size of the medical archive data set, or compresses the archive data set to a corresponding value;

[0013] The adjustment module, together with the central control module, the data storage module and the cloud storage module, is used to adjust the parameters of the data of the electronic medical archive data set to corresponding values ​​according to the determination result of the central control module.

[0014] Furthermore, the profile evaluation value is calculated according to the following formula:

[0015]

[0016] Among them, B is the archive evaluation value, α is the first evaluation coefficient, set α=0.32, β is the second evaluation coefficient, set β=0.62, λ is the third evaluation coefficient, set λ=0.15, E is the classification of cases in the electronic medical archive, F is the frequency of the retrieval module retrieving the electronic medical archive data set, F0 is the retrieval frequency threshold, K is the number of bytes of the electronic medical archive data set, and K0 is the byte number threshold.

[0017] Furthermore, the central control module determines whether the local electronic medical archive data set processing of a single user meets the preset standard according to the archive evaluation value, wherein:

[0018] If the file evaluation value is less than the first preset file evaluation value, the central control module determines that the processing of the local electronic medical file data set of the single user does not meet the preset standard, and controls the detection module to detect the number of bytes of the local electronic medical file data set of the user, and the central control module determines the determination method for the discarding standard of the local electronic medical file data set of the user according to the measured number of bytes;

[0019] If the archive evaluation value is greater than or equal to the first preset archive evaluation value and less than the second preset archive evaluation value, the central control module determines that the processing of the local electronic medical archive data set of the single user does not meet the preset standard, and compresses the local electronic medical archive data set of the user to a corresponding value according to the difference between the archive evaluation value and the first preset archive evaluation value;

[0020] If the file evaluation value is greater than or equal to the second preset file evaluation value, the central control module determines that the processing of the local electronic medical file data set of the single user meets the preset standard, and uploads the electronic medical file data set to the cloud storage module.

[0021] Furthermore, the adjustment module is provided with several compression adjustment modes for compressing the local electronic medical archive data set of the user, and each compression adjustment mode has a different compression range for the local electronic medical archive data set.

[0022] Furthermore, the adjustment module is provided with several correction methods for the compression of the local electronic medical file data set of the user under the first preset condition, and each correction method has a different correction range for the compression of the local electronic medical file data set; the first preset condition is that the adjustment module completes the compression of the local electronic medical file data set, and the number of bytes of the compressed data set is less than the preset number of bytes.

[0023] Furthermore, the central control module controls the detection module to detect the modified access frequency of the local electronic medical archive data set under the second preset condition, and determines the storage method of the modified local electronic medical archive data set according to the measured access frequency, wherein:

[0024] If the retrieval frequency is less than the preset retrieval frequency, the central control module determines to store the corrected local electronic medical record data set into the cloud storage module to form a cloud electronic medical record data set;

[0025] If the retrieval frequency is greater than or equal to the preset retrieval frequency, the central control module determines not to change the storage location of the compressed local electronic medical archive data set;

[0026] The second preset condition is satisfied so that the adjustment module completes the modification of the compression of the local electronic medical archive data set.

[0027] Furthermore, the central control module determines the discarding mode of the local electronic medical archive data set of the user according to the measured byte size, wherein:

[0028] If the number of bytes of the local electronic medical archive data set is less than the first preset number of bytes, the central control module determines not to discard the local electronic medical archive data set and does not change the storage location of the local electronic medical archive data set;

[0029] If the number of bytes of the local electronic medical archive data set is greater than or equal to a first preset number of bytes and less than a second preset number of bytes, the central control module determines to discard the image data in the local electronic medical archive data set, and adjusts the discard ratio of the image data in the local electronic medical archive data set to a corresponding value according to the difference between the number of bytes of the local electronic medical archive data set and the first preset number of bytes;

[0030] If the number of bytes of the local electronic medical archive data set is greater than or equal to a second preset number of bytes, the central control module determines to retain only the electronic medical record information of the local electronic medical archive data set and discard other information in the local electronic medical archive data set.

[0031] Furthermore, the central control module is provided with several discarding ratio adjustment modes for discarding the image data in the local electronic medical archive data set, and each discarding ratio adjustment mode has a different adjustment range for the discarding ratio of the image data.

[0032] Furthermore, in response to the storage time length of the local electronic medical archive data set after the last retrieval being greater than a preset storage time length, the central control module clears the local electronic medical archive data set.

[0033] Furthermore, in response to the cloud storage time length after the cloud electronic medical archive data set is last retrieved being greater than a preset cloud storage time length, the central control module clears the cloud electronic medical archive data set.

[0034] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention provides a data storage module and a cloud storage module, and determines the discarding standard for the medical archive data set according to the byte size of the medical archive data set corresponding to the constructed archive evaluation value model, or compresses the archive data set to the corresponding value, thereby solving the problem of redundant and chaotic storage data caused by failure to optimize the data of the stored electronic archives, thereby affecting the working efficiency of the diagnosis and treatment data management system.

[0035] Furthermore, the central control module of the present invention sets a file evaluation value for a single local electronic medical file data set of the user, and quantifies the evaluation value of a single file through the classification of cases in the medical file, the retrieval frequency and the number of bytes of the electronic medical file data set, thereby calibrating the further processing of the file and scientifically optimizing the electronic medical file.

[0036] Furthermore, when the present invention determines through the archive evaluation value that the local electronic medical archive data set of a single user does not meet the preset standard, the electronic medical archive is discarded or compressed, thereby solving the processing method of the local electronic medical archive data set corresponding to different archive evaluation values.

[0037] Furthermore, when the local electronic archive can be compressed, the adjustment module compresses the local electronic archive data set according to the difference between the archive evaluation value and the first preset archive evaluation value, thereby optimizing the size of the archive data set and saving storage space.

[0038] Furthermore, when the number of bytes of the compressed data set of the local electronic file is less than the preset number of bytes, the adjustment module determines the correction method for compressing the local electronic medical file data set for the user by correcting the difference, thereby accurately compressing the local electronic file data set to the corresponding value, thereby ensuring the integrity of the data on the basis of optimizing the data.

[0039] Furthermore, after the adjustment module completes the correction of the compression of the local electronic medical archive data set, the central control module determines whether to upload the local electronic medical archive data set in the data storage module to the cloud storage module according to the frequency of file retrieval to form a cloud electronic medical archive data set, thereby reasonably storing and allocating the electronic medical archive data set, further optimizing the storage space, and taking into account the confidentiality of the archive and the convenience of retrieval. Important archives that are not frequently retrieved are stored in the cloud, which increases confidentiality, and important archives that are frequently retrieved are stored locally, which increases the convenience of retrieval.

[0040] Furthermore, the central control module of the present invention determines the discarding standard of the user's local electronic medical archive data set according to the measured number of bytes for less important archive data with low archive evaluation values, and discards the image data in the local electronic medical archive data set, or only retains the electronic medical record information of the local electronic medical archive data set, thereby further optimizing the local data while retaining the basic information.

[0041] Furthermore, when the local electronic archive data set needs to be discarded, the adjustment module determines the discard ratio for the image data in the local electronic medical archive data set to be adjusted to a corresponding value according to the discard difference, thereby reducing the size of the data set and further saving storage space.

[0042] Furthermore, the central control module of the present invention clears files that have not been retrieved for more than a preset storage period, thereby avoiding redundant electronic files occupying local storage space and cloud storage space, effectively optimizing data, and improving the working efficiency of the diagnosis and treatment data management system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a structural diagram of a diagnosis and treatment data management system based on a large model according to an embodiment of the present invention;

[0044] Figure 2 A flowchart of an embodiment of the present invention for determining whether the processing of a local electronic medical record data set of a single user meets a preset standard;

[0045] Figure 3 A flowchart of determining the compression of a local electronic medical archive data set according to an embodiment of the present invention;

[0046] Figure 4 The flowchart of an embodiment of the present invention is to determine the method of discarding a user's local electronic medical record data set. DETAILED DESCRIPTION

[0047] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0048] It should be pointed out that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical test data of the central control module of the present invention three months before this test and the corresponding historical test results. It can be understood by those skilled in the art that the determination method of the system of the present invention for the above-mentioned single parameter can be to select the value with the highest proportion as the preset standard parameter according to the data distribution, use weighted summation to use the obtained value as the preset standard parameter, substitute each historical data into a specific formula and use the value obtained by the formula as the preset standard parameter or other selection methods, as long as the system of the present invention can clearly define the different specific situations in the single determination process through the obtained values.

[0049] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0050] See also Figure 1 , Figure 2 , Figure 3 as well as Figure 4As shown, they are respectively a structural schematic diagram of a diagnosis and treatment data management system based on a large model according to an embodiment of the present invention; a flowchart of determining whether the processing of a local electronic medical archive data set of a single user meets preset standards according to an embodiment of the present invention; a flowchart of determining the compression of a local electronic medical archive data set according to an embodiment of the present invention; and a flowchart of determining a method of discarding a local electronic medical archive data set of a user according to an embodiment of the present invention.

[0051] The present invention provides a large model-based diagnosis and treatment data management system, including:

[0052] The information collection module is used to collect the user's medical information, which includes diagnosis information, prescription information, examination information, test information, electronic medical record information, and charging information;

[0053] A data generation module, which is connected to the information collection module and is used to integrate the diagnosis and treatment information of the user collected by the information collection module to form an electronic medical record data set;

[0054] A data storage module, connected to the data generation module, for storing the electronic medical record data set to form a local electronic medical record data set;

[0055] a cloud storage module connected to the data storage module and used to store the local electronic medical record data set transmitted by the data storage module to form a cloud electronic medical record data set;

[0056] A retrieval module, which is connected to the data storage module and the cloud storage module respectively, and is used to retrieve and retrieve the local electronic medical record data set and the cloud electronic medical record data set;

[0057] a detection module, which is connected to the information collection module, the data generation module, the data storage module, the cloud storage module and the retrieval module respectively, and is used to detect the classification of the cases in the electronic medical archive, the retrieval frequency of the electronic medical archive data set, the number of bytes of the electronic medical archive data set and the storage duration of the electronic medical archive data set;

[0058] A central control module, which is connected to the detection module, and is used to determine the processing method of the local electronic medical archive data set for a single user according to the archive evaluation value. If the local electronic medical archive data set of a single user does not meet the preset standard, the central control module determines the discarding standard for the medical archive data set according to the byte size of the medical archive data set, or compresses the archive data set to a corresponding value;

[0059] The adjustment module, together with the central control module, the data storage module and the cloud storage module, is used to adjust the parameters of the data of the electronic medical archive data set to corresponding values ​​according to the determination result of the central control module.

[0060] Specifically, the file evaluation value is calculated according to the following formula:

[0061]

[0062] Among them, B is the archive evaluation value, α is the first evaluation coefficient, set α=0.32, β is the second evaluation coefficient, set β=0.62, λ is the third evaluation coefficient, set λ=0.15, E is the classification of cases in the electronic medical archive, F is the frequency of the retrieval module retrieving the electronic medical archive data set, F0 is the retrieval frequency threshold, set F0=1 time / 40h, K is the number of bytes of the electronic medical archive data set, K0 is the byte number threshold, set K0=1.03MB.

[0063] Specifically, the central control module determines the classification of the case according to the type of disease, wherein:

[0064] The classification determination method of the first case is that the central control module determines that the classification of the case is level 1, that is, E=1, and the classification determination method of the first case satisfies that the condition of the case is a simple disease, a clear diagnosis, a relatively stable condition, and a general hospitalization case that does not require emergency treatment;

[0065] The classification determination method of the second case is that the central control module determines that the classification of the case is level 2, that is, E=2. The classification determination method of the second case satisfies that the condition of the case is simple, the condition is urgent and requires emergency treatment, but the vital signs are stable, and it is not a difficult or critical case requiring hospitalization;

[0066] The grading determination method of the third case is that the central control module determines that the grading of the case is level 3, that is, E=3. The grading determination method of the third case satisfies that the condition of the case is a difficult case with a complicated condition, unclear diagnosis or difficult treatment, serious complications, and poor prognosis;

[0067] The grading determination method for the fourth case is that the central control module determines that the case is graded as level 4, that is, E=4. The grading determination method for the fourth case satisfies that the condition of the case is serious and complicated, the vital signs are unstable or there is failure of important organs, and it is a difficult and critical case that requires emergency treatment.

[0068] Specifically, the central control module determines whether the processing of the local electronic medical archive data set of a single user meets the preset standard according to the archive evaluation value, wherein:

[0069] If the file evaluation value is less than the first preset file evaluation value of 0.84, the central control module determines that the processing of the local electronic medical file data set of the single user does not meet the preset standard, and controls the detection module to detect the number of bytes of the local electronic medical file data set of the user, and the central control module determines the determination method for the discarding standard of the local electronic medical file data set of the user according to the measured number of bytes;

[0070] If the archive evaluation value is greater than or equal to the first preset archive evaluation value 0.84 and less than the second preset archive evaluation value 1.64, the central control module determines that the processing of the local electronic medical archive data set of the single user does not meet the preset standard, and compresses the local electronic medical archive data set of the user to a corresponding value according to the difference between the archive evaluation value and the first preset archive evaluation value 0.84;

[0071] If the archive evaluation value is greater than or equal to the second preset archive evaluation value 1.64, the central control module determines that the processing of the local electronic medical archive data set of the single user meets the preset standard, and uploads the electronic medical archive data set to the cloud storage module.

[0072] Specifically, the central control module calculates the difference between the archive evaluation value and the first preset archive evaluation value 0.84, and records the difference as the compression difference. The adjustment module determines the adjustment method for compressing the local electronic medical archive data set of the user according to the compression difference, wherein:

[0073] The first compression adjustment method is that the adjustment module uses the first preset data set compression coefficient 0.97 to compress the local electronic medical file data set to a corresponding value; the first compression adjustment method satisfies that the compression difference is less than the first preset compression difference 0.21;

[0074] The second compression adjustment method is that the adjustment module uses the second preset data set compression coefficient 0.93 to compress the local electronic medical file data set to the corresponding value; the second compression adjustment method satisfies that the compression difference is greater than or equal to the first preset compression difference 0.21 and less than the second preset compression difference 0.52;

[0075] The third compression adjustment method is that the adjustment module uses the third preset data set compression coefficient 0.85 to compress the local electronic medical file data set to a corresponding value; the third compression adjustment method satisfies that the compression difference is greater than or equal to the second preset compression difference 0.52.

[0076] Specifically, the adjustment module calculates the difference between the preset byte number 0.65MB and the adjusted byte number of the local electronic medical archive data set under the first preset condition, and records the difference as the correction difference. The adjustment module determines the correction method for compressing the local electronic medical archive data set of the user according to the correction difference, wherein:

[0077] The first correction method is that the adjustment module uses a first preset compression correction coefficient of 1.005 to correct the compression of the local electronic medical archive data set to a corresponding value; the first correction method satisfies that the correction difference is less than the first preset correction difference of 0.06MB;

[0078] The second correction method is that the adjustment module uses the second preset compression correction coefficient 1.014 to correct the compression of the local electronic medical archive data set to a corresponding value; the second correction method satisfies that the correction difference is greater than or equal to the first preset correction difference 0.16MB and less than the second preset correction difference 0.11MB;

[0079] The third correction method is that the adjustment module uses a third preset compression correction coefficient of 1.021 to correct the compression of the local electronic medical file data set to a corresponding value; the third correction method satisfies that the correction difference is greater than or equal to the second preset correction difference;

[0080] The first preset condition is that the adjustment module completes the compression of the local electronic medical archive data set, and the number of bytes of the compressed data set is less than the preset number of bytes.

[0081] Specifically, the central control module controls the detection module to detect the modified access frequency of the local electronic medical archive data set under the second preset condition, and determines the storage method of the modified local electronic medical archive data set according to the measured access frequency, wherein:

[0082] If the retrieval frequency is less than the preset retrieval frequency of 1 time / 85h, the central control module determines to store the corrected local electronic medical record data set in the cloud storage module to form a cloud electronic medical record data set;

[0083] If the retrieval frequency is greater than or equal to the preset retrieval frequency, the central control module determines not to change the storage location of the compressed local electronic medical archive data set;

[0084] The second preset condition is satisfied so that the adjustment module completes the modification of the compression of the local electronic medical archive data set.

[0085] Specifically, the central control module determines the discarding method of the user's local electronic medical archive data set according to the measured byte size, wherein:

[0086] If the number of bytes of the local electronic medical archive data set is less than the first preset number of bytes 0.59MB, the central control module determines not to discard the local electronic medical archive data set and does not change the storage location of the local electronic medical archive data set;

[0087] If the number of bytes of the local electronic medical archive data set is greater than or equal to a first preset number of bytes and less than a second preset number of bytes of 1.23 MB, the central control module determines to discard the image data in the local electronic medical archive data set, and adjusts the discard ratio of the image data in the local electronic medical archive data set to a corresponding value according to the difference between the number of bytes of the local electronic medical archive data set and the first preset number of bytes;

[0088] If the number of bytes of the local electronic medical archive data set is greater than or equal to a second preset number of bytes, the central control module determines to retain only the electronic medical record information of the local electronic medical archive data set and discard other information in the local electronic medical archive data set.

[0089] Specifically, the central control module calculates the difference between the number of bytes of the local electronic medical archive data set and the first preset number of bytes 0.59MB, and records the difference as the discard difference. The adjustment module determines the adjustment method for the discard ratio of the image data in the local electronic medical archive data set according to the discard difference, wherein:

[0090] The first discard ratio adjustment method is that the adjustment module uses a first preset discard ratio adjustment coefficient of 0.89 to adjust the discard ratio of the image data in the local electronic medical archive data set to a corresponding value; the first discard ratio adjustment method satisfies that the discard difference is less than the first preset discard difference of 0.06MB;

[0091] The second discard ratio adjustment method is that the adjustment module uses the second preset discard ratio adjustment coefficient 0.68 to adjust the discard ratio of the image data in the local electronic medical archive data set to a corresponding value; the second discard ratio adjustment method satisfies that the discard difference is greater than or equal to the first preset discard difference and less than the second preset discard difference 0.11MB;

[0092] The third discard ratio adjustment method is that the adjustment module uses the third preset discard ratio adjustment coefficient 0.49 to adjust the discard ratio of the image data in the local electronic medical archive data set to a corresponding value; the third discard ratio adjustment method satisfies that the discard difference is greater than or equal to the second preset discard difference;

[0093] The discarding of image data is achieved by a determined discarding ratio, and the discarding of the image can be achieved by one of the methods of Dropout, Cutout, Spatial Dropout and DropBlock.

[0094] Specifically, in response to the storage time length of the local electronic medical archive data set after the last retrieval being greater than the preset storage time length of 3249 hours, the central control module clears the local electronic medical archive data set.

[0095] Specifically, in response to the cloud storage time length of the cloud electronic medical archive data set after the last retrieval thereof being greater than the preset cloud storage time length of 7158 hours, the central control module clears the cloud electronic medical archive data set.

[0096] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0097] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A diagnosis and treatment data management system based on a large model, characterized in that: include: The information collection module is used to collect the user's medical information, which includes diagnosis information, prescription information, examination information, test information, electronic medical record information, and charging information; A data generation module, which is connected to the information collection module and is used to integrate the diagnosis and treatment information of the user collected by the information collection module to form an electronic medical record data set; A data storage module, connected to the data generation module, for storing the electronic medical record data set to form a local electronic medical record data set; a cloud storage module connected to the data storage module and used to store the local electronic medical record data set transmitted by the data storage module to form a cloud electronic medical record data set; A retrieval module, which is connected to the data storage module and the cloud storage module respectively, and is used to retrieve and retrieve the local electronic medical record data set and the cloud electronic medical record data set; a detection module, which is connected to the information collection module, the data generation module, the data storage module, the cloud storage module and the retrieval module respectively, and is used to detect the classification of the cases in the electronic medical archive, the retrieval frequency of the electronic medical archive data set, the number of bytes of the electronic medical archive data set and the storage duration of the electronic medical archive data set; A central control module, which is connected to the detection module, and is used to determine the processing method of the local electronic medical archive data set for a single user according to the archive evaluation value. If the local electronic medical archive data set of a single user does not meet the preset standard, the central control module determines the discarding standard for the medical archive data set according to the byte size of the medical archive data set, or compresses the archive data set to a corresponding value; An adjustment module, which, together with the central control module, the data storage module and the cloud storage module, is used to adjust the parameters of the data of the electronic medical archive data set to corresponding values ​​according to the result of the determination by the central control module; The central control module determines whether the local electronic medical archive data set processing of a single user meets the preset standard according to the archive evaluation value, wherein: If the file evaluation value is less than the first preset file evaluation value, the central control module determines that the processing of the local electronic medical file data set of the single user does not meet the preset standard, and controls the detection module to detect the number of bytes of the local electronic medical file data set of the user, and the central control module determines the determination method for the discarding standard of the local electronic medical file data set of the user according to the measured number of bytes; If the archive evaluation value is greater than or equal to the first preset archive evaluation value and less than the second preset archive evaluation value, the central control module determines that the processing of the local electronic medical archive data set of the single user does not meet the preset standard, and compresses the local electronic medical archive data set of the user to a corresponding value according to the difference between the archive evaluation value and the first preset archive evaluation value; If the file evaluation value is greater than or equal to the second preset file evaluation value, the central control module determines that the processing of the local electronic medical file data set of the single user meets the preset standard, and uploads the electronic medical file data set to the cloud storage module; The adjustment module is provided with several compression adjustment modes for compressing the local electronic medical archive data set of the user, and each compression adjustment mode has a different compression range for the local electronic medical archive data set; The central control module controls the detection module to detect the modified access frequency of the local electronic medical archive data set under the second preset condition, and determines the storage method of the modified local electronic medical archive data set according to the measured access frequency, wherein: If the retrieval frequency is less than the preset retrieval frequency, the central control module determines to store the corrected local electronic medical record data set into the cloud storage module to form a cloud electronic medical record data set; If the retrieval frequency is greater than or equal to the preset retrieval frequency, the central control module determines not to change the storage location of the compressed local electronic medical archive data set; The second preset condition is satisfied so that the adjustment module completes the modification of the compression of the local electronic medical archive data set; The central control module determines the discarding method of the user's local electronic medical archive data set according to the measured byte size, wherein: If the number of bytes of the local electronic medical archive data set is less than the first preset number of bytes, the central control module determines not to discard the local electronic medical archive data set and does not change the storage location of the local electronic medical archive data set; If the number of bytes of the local electronic medical archive data set is greater than or equal to a first preset number of bytes and less than a second preset number of bytes, the central control module determines to discard the image data in the local electronic medical archive data set, and adjusts the discard ratio of the image data in the local electronic medical archive data set to a corresponding value according to the difference between the number of bytes of the local electronic medical archive data set and the first preset number of bytes; If the number of bytes of the local electronic medical archive data set is greater than or equal to a second preset number of bytes, the central control module determines to retain only the electronic medical record information of the local electronic medical archive data set and discard other information in the local electronic medical archive data set.

2. The large model-based diagnosis and treatment data management system according to claim 1, characterized in that: The file evaluation value is calculated according to the following formula: Wherein, B is the archive evaluation value, α is the first evaluation coefficient, set α=0.32, β is the second evaluation coefficient, set β=0.62, λ is the third evaluation coefficient, set λ=0.15, E is the classification of cases in the electronic medical archive, F is the frequency of the retrieval module retrieval of the electronic medical archive data set, F0 is the retrieval frequency threshold, K is the number of bytes of the electronic medical archive data set, K0 is the byte number threshold; The central control module determines the classification of the case according to the type of the disease, wherein: The classification determination method of the first case is that the central control module determines that the classification of the case is level 1, that is, E=1, and the classification determination method of the first case satisfies that the condition of the case is a simple disease, a clear diagnosis, a relatively stable condition, and a general hospitalization case that does not require emergency treatment; The classification determination method of the second case is that the central control module determines that the classification of the case is level 2, that is, E=2. The classification determination method of the second case satisfies that the condition of the case is simple, the condition is urgent and requires emergency treatment, but the vital signs are stable, and it is not a difficult or critical case requiring hospitalization; The grading determination method of the third case is that the central control module determines that the grading of the case is level 3, that is, E=3. The grading determination method of the third case satisfies that the condition of the case is a difficult case with a complicated condition, unclear diagnosis or difficult treatment, serious complications, and poor prognosis; The grading determination method for the fourth case is that the central control module determines that the case is graded as level 4, that is, E=4. The grading determination method for the fourth case satisfies that the condition of the case is serious and complicated, the vital signs are unstable or there is failure of important organs, and it is a difficult and critical case that requires emergency treatment.

3. The large model-based diagnosis and treatment data management system according to claim 2, characterized in that: The adjustment module is provided with several correction methods for the compression of the local electronic medical file data set of the user under a first preset condition, and each correction method has a different correction range for the compression of the local electronic medical file data set; the first preset condition is that the adjustment module completes the compression of the local electronic medical file data set, and the number of bytes of the compressed data set is less than the preset number of bytes.

4. The large model-based diagnosis and treatment data management system according to claim 3, characterized in that: The central control module is provided with several discarding ratio adjustment modes for discarding the image data in the local electronic medical archive data set, and each discarding ratio adjustment mode has a different adjustment range for the discarding ratio of the image data.

5. The large model-based diagnosis and treatment data management system according to claim 4, characterized in that: The central control module clears the local electronic medical archive data set in response to the storage time length after the local electronic medical archive data set is last retrieved being greater than the preset storage time length.

6. The large model-based diagnosis and treatment data management system according to claim 5, characterized in that: The central control module clears the cloud electronic medical archive data set in response to the cloud storage time length after the cloud electronic medical archive data set is last retrieved being greater than the preset cloud storage time length.

Images