Medical information processing method and medical information cloud platform service system, and local server

Abstract

To provide a medical information processing method, and cloud platform service system for the medical information processing method that serve as a detection function of information, information security and privacy protection function a medical information calculation requires.SOLUTION: A medical information processing method the present invention provides is used to process medical information including descriptive information and calculation object data; and conform the processed medical information to a medical information calculation application. The method includes: a calculation required information detection step; and a verification required information generation step. The calculation required information detection step is configured to: detect at least one calculation required information adapted to when the medical information calculation application calculates from the descriptive information of the medical information; if the detection result is true, delete all or a part of other descriptive information other than the calculation-required information; and generate calculation object medical information based on the calculation object data. The verification information generation step generates verification information when the calculation object medical information is generated by the calculation required information detection step.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an information processing method and a cloud platform service, and in particular to a medical information processing method and a cloud platform service system. [Background technology]

[0002] With the development and spread of cloud technology, cloud platform services have evolved into three main types of services in recent years, one of which is "Software as a Service" (SaaS). "Software as a Service" is a cloud platform service that provides applications to users. A simple example is a service like Gmail, where users can use the Gmail cloud platform service to use email services simply by connecting to the Internet without making any other preparations. Furthermore, with the development of cloud platform services, data or applications can be operated in the cloud (Internet), so all the services people use are not limited by time or place.

[0003] In addition, with the remarkable development of AI computational model technology and analytical computation technology for medical image information, physiological signal information, or diagnosis-related text information (hereinafter referred to as medical information), as well as the actual needs of various medical institutions and users, developing medical information AI model computation applications or analytical computation applications into a "software as a service" platform has become a hot topic of discussion and development in the medical information processing and analysis service industry.

[0004] However, in the "Software as a Service" cloud platform, the most important and important themes for patients, medical institutions, or government agencies are issues such as information security and personal privacy, and these issues are even more important for medical information, so most countries around the world have enacted special legislation and strict regulations on these issues, the most well-known being the Personal Information Law or the Healthcare Law. In other words, when services such as medical information AI model calculation or medical information analysis calculation are developed into a "Software as a Service" cloud system, there is also the risk of personal information leakage or other safety issues related to medical information. Summary of the Invention [Problem to be solved by the invention]

[0005] As mentioned above, in the cloud platform service system of AI model calculation or analysis calculation of medical information, the main service points are services such as transmission of medical information and analysis calculation of medical information, or AI model calculation of medical images, etc. Therefore, in order to solve the above-mentioned information security or personal privacy problems, it is necessary to first solve the information security and privacy problems during the transmission of medical information.

[0006] However, currently, in addition to the commonly used DICOM file, there are other commonly used file formats such as RTSS, Nifti, Analyze, etc., and each file format has different information content. Therefore, it is an important task to provide a medical information processing method and a cloud platform service system thereof that have a non-identification verification function for various medical information file formats and that meets the requirements for information security and protects the privacy of individual patients during the transmission or calculation process of patient medical information through the cloud platform service system.

[0007] In addition, in order to deal with the medical information of various diseases of patients, it is necessary to provide an AI model calculation application or an analysis calculation application that matches the medical information. That is, it is expected that many AI model calculation applications or analysis calculation applications will be provided in the future medical information cloud platform service system. However, since each AI model calculation application or analysis calculation application requires different calculation information, when medical information is uploaded to the cloud for calculation, if the information related to the calculation in the medical information is missing, the cloud application cannot calculate normally or an accurate calculation result cannot be obtained. Therefore, it is another important issue to provide a medical information processing method and a cloud platform service system thereof that have a medical information calculation detection function for these medical information file formats and can ensure smooth cloud calculation and accurate results.

[0008] To summarize, providing a medical information processing method and its cloud platform service system that combines the function of detecting information required by medical information computing, and the functions of information security and privacy protection is a very important task for current medical information processing methods and their cloud platform service systems. [Means for solving the problem]

[0009] The objective of the present invention is to provide a medical information processing method and its cloud platform service system that has the function of detecting information required for medical information calculation, and the function of protecting information security and privacy.

[0010] In order to achieve the above object, the medical information processing method provided by the present invention processes medical information including description information and calculation target data, and makes the processed medical information suitable for a medical information calculation application. The medical information processing method includes a calculation information detection step and a verification information generation step, and the calculation information detection step detects at least one calculation information required by the medical information calculation application when performing calculation from the description information of the medical information. If the detection result is true, delete all or part of the description information other than the calculation information in the description information, and generate calculation target medical information according to the calculation target data; the verification information generation step generates verification information when the calculation target medical information is generated in the calculation information detection step.

[0011] In one embodiment, the other descriptive information includes direct personal information or indirect personal information.

[0012] In one embodiment, the medical information computing application is a medical information AI model computing application or a medical information analysis computing application.

[0013] In one embodiment, the descriptive information and the data to be calculated can be stored in the same file or in separate files.

[0014] In one embodiment, the file format of the medical information to be calculated is DICOM format, RTSS format, NIfTI format, ANALZE format, JPG format, Tiff format, or Bmp format.

[0015] In one embodiment, the file format of the data to be calculated is EDF format, Brain Vision format, BDF format, a general sports biomechanics data format, or an ASCII text file format.

[0016] In one embodiment, the data to be computed is medical image data, physiological signal data, or non-file descriptive textual data.

[0017] In order to achieve the above object, the present invention provides a medical information cloud platform service system, which is used in conjunction with the Internet to process medical information including description information and calculation target data, and makes the processed medical information suitable for medical information calculation application. The medical information cloud platform service system includes a local server, which includes a calculation information detection module and a verification information generation module. The calculation information detection module detects at least one calculation information required in the description information of the medical information, which is suitable for the medical information calculation application when performing calculation. If the detection result is true, delete all or part of the description information other than the calculation information in the description information, and generate calculation target medical information according to the calculation target data. The verification information generation module generates verification information when the calculation information detection module generates the calculation target medical information. The cloud platform includes an application server and a network server, wherein the application server stores at least the medical information calculation application, and the network server receives the medical information to be calculated and the verification information sent by the local server, verifies the verification information, and then sends the medical information to be calculated to the application server, and uses the medical information calculation application to perform analysis and calculation on the medical information to be calculated, and generates analyzed medical information.

[0018] In one embodiment, the analyzed medical information and the verification information are sent back to the local server by the network server via the Internet, and the local server restores the medical information to be calculated to the original medical information according to the verification information.

[0019] In one embodiment, the other descriptive information includes direct personal information or indirect personal information.

[0020] In one embodiment, the medical information computing application is a medical information AI model computing application or a medical information analysis computing application.

[0021] In one embodiment, the descriptive information and the data to be calculated can be stored in the same file or in separate files.

[0022] In one embodiment, the file format of the medical information to be calculated is DICOM format, RTSS format, NIfTI format, ANALZE format, JPG format, Tiff format, or Bmp format.

[0023] In one embodiment, the file format of the data to be calculated is EDF format, Brain Vision format, BDF format, a general sports biomechanics data format, or an ASCII text file format.

[0024] In one embodiment, the data to be computed is medical image data, physiological signal data, or non-file descriptive textual data.

[0025] In order to achieve the above object, the present invention provides a local server, which is used in conjunction with a medical information calculation application to process medical information including description information and data to be calculated, and the local server includes a calculation information detection module, which detects at least one calculation information required in the description information of the medical information, which is suitable for the medical information calculation application to perform calculation. If the detection result is true, delete all or part of the description information other than the calculation information in the description information, and generate medical information to be calculated according to the calculation data. The verification information generation module generates verification information when the calculation information detection module generates the medical information to be calculated.

[0026] In one embodiment, the other descriptive information includes direct personal information or indirect personal information.

[0027] In one embodiment, the medical information computing application is a medical information AI model computing application or a medical information analysis computing application.

[0028] In one embodiment, the descriptive information and the data to be calculated can be stored in the same file or in separate files.

[0029] In one embodiment, the file format of the medical information to be calculated is DICOM format, RTSS format, NIfTI format, ANALZE format, JPG format, Tiff format, or Bmp format.

[0030] In one embodiment, the file format of the data to be calculated is EDF format, Brain Vision format, BDF format, a general sports biomechanics data format, or an ASCII text file format.

[0031] In one embodiment, the data to be computed is medical image data, physiological signal data, or non-file descriptive textual data. [Brief description of the drawings]

[0032] [Figure 1] FIG. 2 is a structural diagram of the medical information cloud platform service system of the present invention; [Diagram 2] FIG. 13 is a flow diagram of a combination of some of the local servers of the present invention. [Diagram 3] FIG. 2 is a diagram showing a file format of medical information according to the present invention. [Figure 4] FIG. 2 is an explanatory diagram of the contents of a medical information file of the present invention. [Diagram 5] 2 is a comparison table of calculation information for each medical information calculation application supported by the present invention; [Figure 6] FIG. 2 is a diagram showing a file format of the target medical information of the present invention. [Figure 7] FIG. 2 is an explanatory diagram of the processing steps of the medical information processing method of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0033] Before describing the preferred embodiments of the present invention in detail, some terms specifically implemented in the present invention will be described below to avoid unnecessary description and confusion of terms.

[0034] "Medical information" includes descriptive information and processing data, and the descriptive information includes describing the patient's personal information, describing information related to medical institutions, examinations, etc., or describing information such as parameters related to medical images or physiological signals; the processing data refers to medical image data (e.g., image data (pixel data) such as MRI, CT, X-ray, etc.), physiological signal data (e.g., signal data such as electroencephalogram (EEG), electrocardiogram (ECG), electromyogram (EMG)), or non-file descriptive character data (e.g., disease diagnosis data). In addition, the descriptive information and the processing data are stored in the same file or in separate files. The file format of the processing data can be a DICOM file, RTSS format, NIfTI format, ANALZE format, JPG format (JPEG format), Tiff format, or Bmp format, etc. The file format of the data to be calculated can be EDF format (European Data Format), Brain Vision format (BrainVision Analyzer), BDF format (Biosemi Data Format), a general sports biomechanics data format, or an ASCII text file format.

[0035] Additionally, "medical information" or "medical information to be calculated" refers to a single piece of information or multiple pieces of time-series correlated information. Additionally, "medical information calculation application" includes applications that use AI models to perform analysis and calculations on medical information, or applications that use other mathematical or feature calculations to perform analysis and calculations on medical information.

[0036] Furthermore, the term "local server" in this invention refers to a server or computer-related equipment present in each hospital, clinic, medical examination center, or medical company. "Cloud or cloud platform" refers to various servers installed remotely from the local server, such as network servers, application servers, database servers, etc. These servers may exist across countries or may be distributed.

[0037] The following is a detailed description of a preferred embodiment of the present invention with reference to the drawings. As shown in FIG. 1, the medical information cloud platform 1 of the present invention mainly includes a cloud platform 11, an Internet 12, and at least one local server 13. The cloud platform 11 is composed of a number of servers corresponding to the needs of each function, including a network server 111, an application server 112, and a database server 113. The local server 13 is installed in the server or computer equipment of each hospital, clinic, health check center, or medical-related enterprise or institution. The dotted lines of the cloud platform 11 in FIG. 1 indicate each hospital, clinic, health check center, or medical-related enterprise or institution. Here, the cloud platform 11 is in the form of a public cloud or a private cloud. In other words, the application 112 of the cloud platform 11 of the present invention is installed remotely to the local server 13, or is installed in each hospital, clinic, health check center, or medical-related enterprise or institution in the form of a private cloud.

[0038] The application server 112 of the cloud platform 11 stores at least one medical information calculation application. The medical information calculation application includes an application that performs analysis and calculation on medical information using an AI model, or an application that performs analysis and calculation on medical information using mathematical calculation or feature calculation other than the AI ​​model.

[0039] 2, the local server 13 includes a calculation information detection module 131 and a verification information generation module 132. The calculation information detection module 131 detects calculation information for medical information 90 stored in the local server 13 or medical information 90 received from a system such as a PACS.

[0040] The calculation information detection module 131 is a calculation information comparison table 80 using a medical information calculation application stored in advance in the local server 13, and detects calculation information required when the medical information calculation application performs calculation in the description information of the medical information. At this time, if the items and contents of the calculation information detected by the calculation information comparison table 80 by the calculation information detection module 131 are all correct, it indicates that the detection result is true (T). If the detection result is true (T), the calculation information detection module 131 deletes all or a part of other description information other than the calculation information in the description information, and generates calculation target medical information 91 by the description information after the deletion and the calculation target data (Data). In particular, in a preferred embodiment of the present invention, the other description information includes direct personal information or indirect personal information of the patient, in other words, as can be seen from the preferred embodiment of the present invention, when all or a part of other description information other than the calculation information is deleted and only the calculation information is left, the patient's privacy can be perfectly ensured, and all information security requirements are met.

[0041] The verification information generation module 132 generates the verification information 70 when the detection result in the calculation information detection module 131 is true (T) and the calculation target medical information 91 is generated.

[0042] The Internet server 111 of the cloud platform 11 receives the medical information to be calculated 91 and the verification information 70 sent by the local server 13 via the Internet 12, and after verifying the verification information via the network server 111, sends the medical information to be calculated 91 to the application server 112, and performs analysis and calculation on the medical information to be calculated 91 using a medical information calculation application stored in the application server 112, thereby generating analyzed medical information 92. In this embodiment, the analyzed medical information 92 is information such as labeling, tracking, classification, etc. of medical images, or the analysis results of physiological signal information, or the analysis results of diagnosis information of various diseases.

[0043] In addition, as shown in FIG. 1, the cloud platform 11 further includes a database server 113, which can store the medical information to be calculated, the verification information, and the medical information after analysis.

[0044] Furthermore, it is particularly noted that the analyzed medical information 92 and the verification information 70 are returned to the local server 13 via the Internet 12 by the network server 111. The local server 13 can restore the descriptive information deleted by the verification information 70, and restore the calculation target medical information 91 to the original medical information 90.

[0045] The actual operation of the calculation information detection module 131 and the verification information generation module 132 of the local server 13 of the present invention will be described in more detail. Next, the medical information 90 in the Dicom file format will be described in more detail. Generally speaking, as shown in FIG. 3, for the medical information 90 in the Dicom file format, the file format mainly includes two parts: description information 90I and calculation target data 90D. The description information 90I is mainly written in the header of the DICOM file format, and the calculation target data 90D means pixel data. Furthermore, as shown in FIG. 4, the contents of one Dicom file format medical information are divided into five categories, including patient information 901, study information 902, series information 903, equipment information 904, and image information 905.

[0046] As mentioned above, Patient Information is, for example, name, chart number, date of birth, etc., which can be obtained from the hospital's HIS or RIS system or from the chart data filled in at the time of consultation, and then entered into the diagnostic equipment by technical staff. Study Information is, for example, height, weight, examination date, examination time, doctor's name, etc., which are mainly entered into the diagnostic equipment by technical staff. These data change every time a consultation is performed. Series Information describes the parameters used by the equipment when acquiring images, such as series description, modality type, radiation intensity, etc. Equipment Information is, for example, the equipment manufacturer, model number, etc. Image Information not only records information between the image acquisition equipment and the image, but also information on the image itself, such as window center, window width, image type, image resolution, image depth, and numerical data of the image itself, etc.

[0047] As shown in Fig. 5, the calculation information detection module 131 is a calculation information comparison table 80 using a medical information calculation application previously stored in the local server 13. For example, the calculation application used by the user selects AI model I or AI model II, and the items of calculation information and the contents of calculation information required corresponding to the calculation application AI model I or AI model II are known as shown in the calculation information target table 80. Therefore, the calculation information detection module 131 can detect the calculation information (items and contents) required when the medical information calculation application performs calculation in the description information 90I of the medical information 90. At this time, if the items and contents of calculation information detected by the calculation information comparison table 80 by the calculation information detection module 131 are all correct, it indicates that the detection result is true (T).

[0048] As described above, when the detection result is true (T), as shown in Fig. 6, the calculation information detection module 131 deletes all or part of the other descriptive information than the calculation information in the descriptive information, and generates calculation target medical information 91 from the deleted descriptive information 90I' and the calculation target data (Data) 90D. It should be noted here that in this embodiment, the information in the descriptive information 90I' after deletion corresponds to the calculation information items and calculation information contents in the calculation information comparison table 80.

[0049] The above describes a preferred embodiment of the present invention using medical information 90 in Dicom format, but even if other file formats, such as NIfTI format, ANALZE format, JPG format (JPEG format), Tiff format, or Bmp format, are used, the medical information 90 represented by these file formats all includes descriptive information 90I and calculation target data 90D, except for whether the descriptive information 90I and the calculation target data 90D are stored in the same file, and therefore the medical information cloud platform service system 1 of the present invention can be applied to medical information 90 in each file format.

[0050] Furthermore, when the detection result of the calculation information detection module 131 is true (T) and generates the calculation target medical information 91, the verification information generation module 132 generates the verification information 70. In a preferred embodiment of the present invention, the verification information 70 is a meaningful verification code, such as T00120231010P00001AI001, where "T" means verified, "001" means the sending and receiving organization of the information, "P00001" means the patient No. 00001, and "AI001" means the selected calculation application. Of course, in this embodiment, the verification information 70 can be further defined according to actual needs.

[0051] According to the above description, the medical information cloud platform service system 1 of the present invention generates the medical information 91 to be calculated by the calculation information detection module 131 of the local server 13, and generates the verification information 70 by the verification information generation module 132. The description information of the medical information 91 to be calculated only contains calculation-related information. In other words, the medical information 91 to be calculated uploaded to the cloud does not contain any direct or indirect personal information related to the patient, and does not contain any information related to the testing institution. Therefore, the medical information cloud platform service system 1 of the present invention is a cloud platform service system that has the function of detecting information required for medical information calculation, as well as the function of information security and privacy protection.

[0052] In addition, although the present invention discloses a cloud platform and a local server, the specific explanation of the cloud platform and local server of the present invention is almost the same as the explanation of the cloud platform 11 and local server 13 of the medical information cloud platform service system 1 of the present invention, so the explanation related to the cloud platform and local server of the present invention will be omitted.

[0053] Next, a medical information processing method according to the present invention will be described. For ease of explanation, some of the reference numerals in another embodiment of the present invention will be the same as those in the above embodiment.

[0054] As shown in FIG. 7, the medical information processing method of the present invention includes a calculation information detecting step P1 and a verification information generating step P2.

[0055] In the calculation information detection step P1, at least one piece of calculation information that is necessary and suitable for the medical information calculation application to perform calculation is detected from the description information 90I of the medical information 90. That is, in the calculation information detection step P1, any calculation application (e.g., AI Model I) in the calculation information comparison table 80 shown in Fig. 5 is compared with the description information 90I of the medical information 90 to detect the corresponding items and contents of the calculation information, and if all the corresponding items of the calculation information exist and all the contents are correct, the detection result indicates true (T). At this time, in the description information, all or part of the description information other than the calculation information is deleted, and the calculation target medical information 91 is generated by the description information 90I' after deletion and the calculation target data 90D.

[0056] In addition, in the verification information generating step P2, when the calculation target medical information is generated in the calculation information detecting step P1, that is, when the detection result is true (T), the verification information is generated.

[0057] To sum up, in the medical information processing method of the present invention, in the calculation information detection step P1, by detecting the information by comparing it with the descriptive information 90I in the calculation information comparison table 80, all or part of the descriptive information other than the calculation information is deleted, and the calculation target medical information 91 is generated from the deleted descriptive information 90I' and the calculation target data 90D. More specifically, the calculation target medical information 91 has all other information related to the patient or medical institution, etc., removed, except for the calculation information. Therefore, the medical information processing method of the present invention is a medical information processing method that combines the function of detecting information required for medical information calculation, and the function of information security and privacy protection. [Industrial Applicability]

[0058] The present invention relates to an information processing method and a cloud platform service system, and particularly to a medical information processing method and its cloud platform service system. In the medical information processing method of the present invention, in the calculation information detection step P1, the calculation information is detected by comparing with the description information 90I using the calculation information comparison table 80, and all or part of the description information other than the calculation information is deleted, and the calculation target medical information 91 is generated by the description information 90I' after deletion and the calculation target data 90D. More specifically, the calculation target medical information 91 is a medical information processing method in which all information related to patients or medical institutions, etc. is removed except for the calculation information. Therefore, the medical information processing method of the present invention is a medical information processing method that combines the function of detecting information required for medical information calculation, and the function of information security and privacy protection.

[0059] In addition, the medical information cloud platform service system 1 of the present invention generates medical information 91 to be calculated by the calculation information detection module 131 of the local server 13, and generates verification information 70 by the verification information generation module 132. The descriptive information of the medical information 91 to be calculated only contains calculation-related information. In other words, the medical information 91 to be calculated uploaded to the cloud does not contain any direct or indirect personal information of the patient, and does not contain any information related to the testing institution. For this reason, the medical information cloud platform service system 1 of the present invention is a cloud platform service system that has both a function of detecting information required for medical information calculation, and a function of information security and privacy protection. [Explanation of symbols]

[0060] 1. Medical information cloud platform service system 11 Cloud Platform 111 Network Server 112 Application Server 113 Databank Server 12. Internet 13 Local Server 131 Information Detection Module for Computation 132 Verification information generation module 70 Verification Information 80 Calculation Information Comparison Table 90 Medical Information 90I Descriptive information 90I' Description information after deletion 90D Calculation Data 91 Medical Information to be Calculated 92 Medical Information After Analysis 901 Patient Information 902 Inspection Information 903 Ranking Information 904 Device information 905 Video Information P1 Calculation information detection process P2 Verification information generation process T Detected true

Claims

1. 1. A method for processing medical information, the medical information including description information and calculation target data, and making the processed medical information suitable for a medical information calculation application, comprising: A calculation information detection process for detecting at least one piece of calculation information required when the medical information calculation application performs calculation from the description information of the medical information, and if the detection result is true, deleting all or part of the description information other than the calculation information in the description information, and generating calculation target medical information using the calculation target data (Data); a verification information generating step of generating verification information when the calculation target medical information is generated in the calculation information detecting step, A medical information processing method characterized in that the description information and the calculation target data are stored in the same file or in separate files.

2. 2. The method of claim 1, wherein said other descriptive information includes direct personal information or indirect personal information.

3. The medical information processing method according to claim 1, wherein the medical information calculation application is a medical information AI model calculation application or a medical information analysis calculation application.

4. 2. The medical information processing method according to claim 1, wherein the file format of the medical information to be calculated is DICOM format, RTSS format, NIfTI format, ANALZE format, JPG format, Tiff format or Bmp format.

5. 2. The medical information processing method according to claim 1, wherein the file format of the medical information to be calculated is EDF format, Brain Vision format, BDF format, a general sports biomechanics data format, or an ASCII text file format.

6. 2. The medical information processing method according to claim 1, wherein the calculation target data (Data) is medical image data, physiological signal data, or non-file description character data.

7. A medical information cloud platform service system that uses the Internet in combination with the medical information processing system to process medical information including description information and calculation target data, and makes the processed medical information suitable for medical information calculation applications, comprising: The medical information calculation application includes a calculation information detection module and a verification information generation module, the calculation information detection module detects at least one calculation information required by the medical information calculation application when the medical information calculation application performs calculation in the description information of the medical information, and if the detection result is true, deletes all or part of the description information other than the calculation information in the description information, and generates medical information to be calculated according to the data to be calculated, and the verification information generation module generates verification information in a local server when the calculation information detection module generates the medical information to be calculated; A cloud platform including an application server and a network server, the application server stores at least the medical information calculation application, the network server receives the medical information to be calculated and the verification information sent by the local server, verifies the verification information, and then sends the medical information to be calculated to the application server, and uses the medical information calculation application to perform analysis and calculation on the medical information to be calculated, and generate analyzed medical information; A medical information cloud platform service system, characterized in that the description information and the calculation target data are stored in the same file or in separate files.

8. The medical information cloud platform service system of claim 7, wherein the analyzed medical information and the verification information are returned by the network server to the local server via the Internet.

9. The medical information cloud platform service system of claim 8, wherein the local server restores the medical information to be calculated to the original medical information according to the verification information.

10. The medical information cloud platform service system of claim 7, wherein the other descriptive information includes direct personal information or indirect personal information.

11. The medical information cloud platform service system of claim 7, wherein the medical information calculation application is a medical information AI model calculation application or a medical information analysis calculation application.

12. The medical information cloud platform service system according to claim 7, wherein the file format of the medical information to be calculated is DICOM format, RTSS format, NIfTI format, ANALZE format, JPG format, Tiff format or Bmp format.

13. The medical information cloud platform service system of claim 7, characterized in that the file format of the medical information to be calculated is EDF format, Brain Vision format, BDF format, general sports biomechanics data format, or ASCII text file format.

14. The medical information cloud platform service system according to claim 7, wherein the calculation target data is medical image data, physiological signal data, or non-file description character data.

15. a local server for use with a medical information computing application to process medical information including descriptive information and data to be computed, A calculation information detection module detects at least one calculation information required for the medical information calculation application to perform calculation in the description information of the medical information, and if the detection result is true, deletes all or part of the description information other than the calculation information in the description information, and generates calculation target medical information based on the calculation target data (Data); a verification information generation module that generates verification information when the calculation target medical information is generated by the calculation information detection module; A local server, characterized in that the description information and the calculation target data are stored in the same file or in separate files.

16. 16. The local server of claim 15, wherein the other descriptive information includes direct personal information or indirect personal information.

17. The local server of claim 15, wherein the medical information calculation application is a medical information AI model calculation application or a medical information analysis calculation application.

18. 16. The local server according to claim 15, wherein the file format of the medical information to be calculated is DICOM format, RTSS format, NIfTI format, ANALZE format, JPG format, Tiff format or Bmp format.

19. 16. The local server according to claim 15, wherein the file format of the medical information to be calculated is EDF format, Brain Vision format, BDF format, a general sports biomechanics data format, or an ASCII text file format.

20. 16. The local server of claim 15, wherein the data to be calculated is medical image data, physiological signal data, or non-file-descriptor character data.

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