JP6713118B1 - PDI-compliant compliance analysis program, PDI-compliant compliance analyzer and PDI-compliant compliance analysis method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a program for promptly resolving a violation of PDI regulations when importing medical data from the outside when the violation is discovered. SOLUTION: This program is a program for analyzing compliance with PDI regulations when exchanging medical data stored in a medium and outputting an analysis result, wherein the stored information stored in the medium complies with PDI regulations. And a compliance analysis means for analyzing the sex, and an analysis result output means for outputting the analysis result by the compliance analysis means. The compliance analysis means performs a simple analysis and/or a composite analysis, and when it determines that the stored information violates the PDI regulation information, specifies the stored information determined to be a violation in the medium and the PDI regulation information related to the violation, The analysis result output means causes the computer to output the presence/absence of a violation, the storage information determined to be the violation, and the PDI rule information related to the violation. [Selection diagram] Figure 1

Description

The present invention relates to a program for analyzing compliance with PDI regulations, which are regulations for exchanging medical data between medical institutions. The present invention also relates to a PDI standard compliance analysis device and a PDI standard compliance analysis method.

IHE (Integrating the Healthcare Enterprise) and IHE-J define the data exchange rules for portable media (hereinafter referred to as "PDI rules") as a standard for media storage formats when exchanging medical data for patients. ing.

When carrying medical data using a portable medium such as a CD-R or USB, such as when introducing patients between medical institutions or when reading medical data in an offline environment within the same facility. It is required to comply with the standard.

However, there are many cases that do not comply with the PDI regulations in the actual medical field, which is an obstacle to the development of regional medical cooperation. Against this background, various kinds of software have been developed for the purpose of determining compliance with the PDI standard, and have been put to practical use in the medical field.

Many medical data stored in a portable medium are related to test results, and today, these are generally stored in a data format in conformity with DICOM (Digital Imaging and Communications in Medicine) standards.
Therefore, a lot of software that determines compliance with the DICOM standard is also known.

Patent Document 1 describes a process when a media error is detected when medical image data is imported to a medical image management system (hereinafter referred to as “PACS”) via a medium (paragraph [0062]. ]etc). According to Patent Document 1, a media error is a case where DICOMDIR does not exist in the medium and DICOM file does not exist.

Patent Document 2 describes an invention for the purpose of preventing duplicate import of medical image data. This invention analyzes the incidental information of the medical image data to be imported and determines whether or not there is duplication with the existing data existing in the PACS, and the purpose thereof is to waste the storage capacity or to use it during a medical examination. The point is to prevent confusion (paragraph [0003]). Patent Document 3 also discloses an invention made from the viewpoint of preventing duplicate management of medical image data of the same patient.

Patent Document 4 describes a medical image management apparatus capable of correcting medical image data read from an external storage medium in a PACS and then selecting incidental information having inconsistency from a list and correcting the incidental information. ..

In Patent Document 5, considering that medical image data in JPEG format or BMP format, not DICOM format, is data that does not include incidental information, the medical image data stored in the medium belongs to the patient. An invention for ensuring consistency is disclosed.

Patent Document 6 discloses an invention in which when image information output to an image storage device has an error and cannot be stored, the image information to be corrected can be determined and corrected. This is because the image information that is the target of the error is displayed and compared with the image information that could not be output. This is achieved by making it possible to determine whether there is any (paragraph [0030] etc.).

Patent Document 7 compares a data management structure acquisition unit that acquires a data management structure of an image storage device, a data management structure of the image storage device acquired by the data management structure acquisition unit, and supplementary information of an image to be transmitted. However, the image transmitting apparatus is described, which includes a consistency determination processing unit that executes the consistency determination.

In the invention according to Patent Document 7, the determination of the consistency includes detection of correspondence between the supplementary information of the transmission planned image and the data management structure of the image storage device, and further detection processing of missing supplementary information of the transmission planned image. (Paragraph [0084]), and the specific determination method is described in Paragraph [0085].

JP, 2017-021535, A Japanese Patent No. 6292837 JP, 2010-257276, A Republished 2008/038614 pamphlet JP, 2009-20586, A JP, 2006-75475, A JP 2002-132557 A

As described above, conventionally, there have been proposed solutions to various problems that occur when DICOM-format medical data stored in a portable medium is registered in PACS or the like. Further, as described above, there is software that has already been utilized in the medical field regarding the PDI standard.

However, existing software that analyzes or determines compliance with the PDI regulations, when it determines that the regulations are violated, directly violates the regulations, that is, in the medical data stored in the portable medium. The main information output is only the storage information such as incidental information that violates the above, and the fact that there is a violation (error display, etc.).
Further, when a medium that is external data is taken into a medical information management system or the like, there is a conventional technique for checking the consistency in the sense of duplication with existing data, but the PDI standard compliance is analyzed and the result is analyzed. There was no system to output or to decide the processing according to the result. The PDI standard compliance analysis in this case is a compliance analysis by a simple analysis or a composite analysis described later.

Therefore, in order to solve problems, specialized knowledge and experience regarding IT technology and medical data standards are required, and medical personnel such as doctors, nurses, and technicians who work in the medical field are required to comply with the PDI regulations. When a violation occurs, it is often the case that you do not know the cause and how to deal with it, and you have to wait for a solution from an expert.

Such a situation may cause not only adverse effects such as work delay but also disadvantage for the patient. Therefore, it has been desired to respond promptly when a violation of the PDI regulations is discovered, and to shorten the time to solve the problem as much as possible.

The present invention has been made from such a background, and an object of the present invention is to promptly resolve a violation of the PDI regulations when importing medical data from the outside when the violation is found. There is a point to do.

The present invention which solves the above-mentioned problems,
A program for analyzing compliance with PDI regulations when exchanging medical data stored in a medium and outputting an analysis result,
And a compliance analysis unit configured to analyze compliance of the stored information stored in the medium with the PDI standard, and an analysis result output unit configured to output an analysis result by the compliance analysis unit,
The compliance analysis unit performs a simple analysis and/or a composite analysis, and when the storage information is determined to violate the PDI regulation information, the storage information determined to be a violation in the medium and the PDI regulation information related to the violation are identified. Then
The analysis result output means is a program that causes a computer to output the presence/absence of a violation, the storage information determined to be the violation, and the PDI rule information related to the violation.

According to the present invention having such a configuration, when a violation of the PDI convention occurs, not only the stored information determined to be the violation or the violation on the medium but also the PDI convention information related to the violation is output.

As a result, the medical staff or the person in charge of the manufacturer (or the vendor) who is in charge of solving the problem of the violation of the PDI regulations in the medical field can immediately grasp the outline of the content of the violation, and can shorten the time to solve the problem. it can.

In a preferred embodiment of the present invention, there is further provided an association setting means for setting the agreement information of the PDI agreement as an association of the analysis item and the explanation information regarding the analysis item,
The compliance analysis unit identifies the presence or absence of association by the association setting unit based on the presence or absence of the description information when determining that the stored information violates the PDI contract information.
The analysis result output unit outputs the explanation information on the analysis item related to the violation when the compliance analysis unit specifies that the association by the association setting unit is present.

With such a configuration, when a violation of the PDI rule occurs, if the PDI rule information related to the violation is a violation of the PDI rule information set as the association in advance, the explanation information about the analysis item is specified, The explanation information is output.

As a result, the medical staff or the person in charge of the manufacturer (or the vendor) who is in charge of solving the problem of PDI rule violation in the medical field can immediately grasp the details of the violation content, and further shorten the time to solve the problem. You can

In a preferred embodiment of the present invention, the analysis result output unit associates and displays the analysis item related to the violation, the storage information determined to be the violation, and the explanation information related to the analysis item related to the violation.

With such a configuration, it becomes easier to visually understand the relevance of each information output as the analysis result, and it is possible to further shorten the time until the problem is solved.

In a preferred embodiment of the present invention, the association setting means sets a method of coping with a violation of the PDI convention in association with the convention information, and sets the analysis result when the compliance analysis means determines the violation. The output means outputs a method of coping with the violation of the PDI standard.

By adopting such a configuration, the coping method for the violation becomes clear, so that the time until the problem is solved can be further shortened.

In a preferred embodiment of the present invention, the compliance analysis unit identifies the information causing the violation, and the analysis result output unit outputs the information causing the violation.

With such a configuration, the cause of the violation is clarified, so that the time taken to solve the problem can be further shortened.

In a preferred embodiment of the present invention, the simple analysis compares the storage information of the medium with PDI contract information to analyze the presence or absence of the storage information that violates the PDI contract.

With such a configuration, it is possible to analyze whether or not the storage information of the medium violates the PDI rule information regarding the format aspect such as the data input method or the storage method.

In a preferred embodiment of the present invention, the composite analysis is performed by comparing the information identifier existing in the storage information of the medium with the information identifier already registered in the medical information management system in the medical institution, and by overwriting. The possibility of disappearance of information or inconsistency in the database is analyzed, and when it is determined that the possibility of occurrence is present, it is determined that the PDI agreement is violated, and the information identifier related to the violation is further analyzed to Identify the type and content of the violation.

The DICOM standard requires that information identifiers such as a UID (Unique Identifier) and a patient ID be kept unique. For example, for DICOM data, a unique code called UID is issued in units of inspection type, inspection series, image, etc., so that the identities of these information objects can be identified.

However, in actual operation, the identity of the target is identified by the information identifier in actual operation such as uniqueness within the same facility such as patient ID, examination ID, reception number, etc. or uniqueness within a limited period. There are a lot of cases.

Such an information identifier in actual use is naturally not likely to exist in another medical institution, and therefore is not suitable for exchanging medical data between different medical institutions. Therefore, when importing data from the outside, it is common to use a system having a specification that determines the identity of data based on a unique UID.

However, it is assumed that a DICOM file is created with a code that violates the uniqueness of the UID at the medical institution that provides the data, and such a problem is actually recognized. This problem becomes apparent especially when medical data is imported from the outside. For example, when importing a DICOM file created with incorrect code (lacking uniqueness) into the database in the hospital, If data with the same UID as the UID stored in the DICOM file exists in the in-hospital database, the system mistakenly determines that these are the same data, and the existing in-hospital data disappears due to duplicate registration. , It may cause so-called data lost problem.

Therefore, in the present invention, the composite analysis in the compliance analysis means is configured as described above, so that existing data disappears due to overwriting or inconsistency on the database at the stage before the medical data of the patient is registered in the in-hospital database. It is possible to prevent the problem of data lost by analyzing the possibility of occurrence in advance and further analyzing the information identifier when it is determined that these problems may occur.

In a preferred embodiment of the present invention, a processing route determination means for determining a processing route of medical data based on the presence or absence of violation of the PDI regulations is further provided.

With such a configuration, it is possible to determine the processing route based on the presence/absence of violation of the PDI standard. As will be described later, when it is judged that the rule is violated, data loss can be prevented by selecting a processing route different from the processing route in which the normal image data in the hospital is stored as medical data. In addition to the above, it is possible to determine a processing route that considers the problem of work delay, such as simply browsing only the image.

In a preferred embodiment of the present invention, it further comprises violation level setting means for presetting a level of violation of the PDI agreement, wherein the compliance analysis means analyzes the violation level of the PDI agreement and performs the analysis. The result output means outputs the analysis result based on the violation level.

With such a configuration, the output mode of the analysis result can be changed and the convenience can be further improved. As will be described in detail later, it is possible to output the analysis result according to the purpose and the user, for example, by displaying the analysis result in detail, or by using a simple display that emphasizes the glance of the information.

In a preferred embodiment of the present invention, the violation level setting means sets the violation level for the PDI rule based on one or more of the analysis item set in the association setting means and the explanation information about the analysis item.

From the viewpoint of operational efficiency, it is preferable to set the violation level based on the information set in the association setting means.

In a preferred embodiment of the present invention, the processing route determination means determines a processing route for medical data based on the violation level.

With such a configuration, it is possible to determine the processing method according to the degree of the effect of the violation, so that it is possible to eliminate the disadvantage to the patient and avoid the adverse effects such as work delay. can do.

In a preferred embodiment of the present invention, the processing route determination means corrects the information identifier relating to the violation to determine the processing route for registering the medical data in the medical information management system in the medical institution. Data for use.

With such a configuration, even if it is judged that there is a possibility that information will be lost due to overwriting or inconsistency in the database, medical data will be registered in the in-hospital database without causing these problems. can do.

In a preferred embodiment of the present invention, the PDI protocol includes a data exchange protocol (net PDI) for exchanging medical data via the Internet.

In recent years, services for exchanging medical data via the Internet without using a portable medium have become widespread. The present invention can also be applied to an analysis of compliance with PDI regulations when exchanging medical data in such a form.

The present invention is an apparatus for analyzing compliance with PDI regulations when exchanging medical data stored in a medium and outputting an analysis result,
Compliant analysis means for analyzing compliance of the stored information stored in the medium with the PDI protocol, and analysis result output means for outputting an analysis result by the compliance analysis means,
The compliance analysis unit performs a simple analysis and/or a composite analysis, and when the storage information is determined to violate the PDI convention information, identifies the storage information determined to be a violation in the medium and the PDI convention information related to the violation. Then
The analysis result output means also relates to an apparatus that outputs the presence/absence of a violation, the storage information determined to be the violation, and the PDI rule information related to the violation.

The present invention also provides a method of analyzing compliance with PDI regulations when exchanging medical data stored in a medium, and outputting an analysis result,
A compliance analysis step of analyzing compliance of the stored information stored in the medium with the PDI standard; and an analysis result output step of outputting an analysis result by the compliance analysis step,
In the compliance analysis step, a simple analysis and/or a composite analysis is performed, and when it is determined that the stored information violates PDI regulation information, the storage information determined to be a violation in the medium and the PDI regulation information related to the violation are identified. Then
The analysis result output step also relates to a method of outputting the presence/absence of a violation, the storage information determined to be the violation, and the PDI contract information related to the violation.

According to the present invention, when medical data is imported from the outside, when a violation of the PDI regulations is discovered, a means for quickly solving the violation can be provided.

It is a functional block diagram of the compliance analysis device of the PDI standard concerning the embodiment of the present invention. 6 is a display example of an analysis result output screen according to the embodiment of the present invention. 6 is a display example of an analysis result output screen according to the embodiment of the present invention. 6 is a display example of an analysis result output screen according to the embodiment of the present invention. 6 is a display example of an analysis result output screen according to the embodiment of the present invention. 6 is a display example of an analysis result output screen according to the embodiment of the present invention. It is a flow chart which shows a flow of processing of a PDI regulation conformity analysis device concerning an embodiment of the present invention. It is a flow chart which shows a flow of processing of a PDI regulation conformity analysis device concerning an embodiment of the present invention.

Hereinafter, a PDI standard compliance analysis apparatus of the present invention will be described with reference to the drawings. The following embodiments (including the Graphical User Interface) are examples of the present invention, and the present invention is not limited to the following embodiments.

In the present embodiment, the configuration, operation, and the like of the PDI standard compliance analysis device will be described, but computer programs, methods, and the like having similar configurations also exhibit similar operational effects. In addition, the program may be stored in a recording medium. Using this recording medium, the program can be installed in, for example, a computer. The recording medium storing the program may be a non-transitory recording medium such as a CD-ROM.

The present invention relates to software for analyzing compliance with PDI regulations, which are regulations when exchanging medical data between medical institutions.

In the present specification, "compliance with PDI regulations" means "IHE integrated profile "portable medical image" and its operation guideline" and various industry groups such as Japan Imaging Medical Systems Association (JIRA). It refers to the conformity to the “Agreement on medical images accompanying patient referrals” (September 16, 2016). When these guidelines are revised, the revised information is also included. Further, when a new guideline created with the same purpose as these is issued, the guideline is also included.

Further, the DICOM file stored in the medium must itself comply with the DICOM standard “Part 10: Media Storage and File Format”. Therefore, the "compliance with the PDI standard" naturally includes the compliance with the DICOM standard.

In the present invention, it is preferable that the rule information regarding the PDI rules issued as these documents is input in advance as a list for each item. The content itself of the rule information input here includes the same content as the analysis item and the description information set as the association by the association setting unit 2 described later.

Further, as described above, in recent years, the mode of exchanging medical data has expanded not only to the method using a portable medium but also to the method of exchanging data on the Internet. Such a service that enables the exchange of medical data on the Internet is known as “net PDI”. The present invention can obtain the same effect as in the case of using a portable medium when exchanging medical data using the "net PDI".

Therefore, in the present invention, the method of exchanging medical data stored in a medium is not limited to the method of carrying data by using a portable medium such as a CD-R or USB, but also "net PDI" or It also includes a method of exchanging medical data stored in a stationary medium such as a computer device or a server on the provider side via the Internet with a similar service.

In this embodiment, it is assumed that the PDI rule compliance analysis program according to the present invention is installed in an arbitrary computer in a medical institution to configure the PDI rule compliance analyzer.

In some cases, the type of hardware of the computer device is not unified, and in this embodiment, there may be a PDI standard compliance analysis device that uses various types of computer devices. In addition, the OS (Operating System) stored may be different depending on the terminal. Further, the compliance analysis device of the PDI standard is installed in an arbitrary place in the medical institution.

Here, the overall configuration of the PDI standard compliance analysis device 1 according to the present embodiment will be described with reference to FIG. 1. In FIG. 1, the compliance analysis device 1 of the PDI standard is connected to the in-hospital network NW used in the hospital. The compliance analysis device 1 of the PDI standard can access the in-hospital database DB via this in-hospital network NW.
The “hospital database” is not particularly limited in its type as long as it is a database in which medical data regarding patients is accumulated, and various medical information management systems, medical image management systems (PACS), and the like. Any database may be used as long as it is a database in which medical data captured by the management system is accumulated.

The PDI contract compliance analysis apparatus 1 is composed of an association setting unit 2, a violation level setting unit 3, a compliance analysis unit 4, a processing route determination unit 5, and an analysis result output unit 6. The PDI standard compliance analysis device 1 includes an arithmetic device such as a CPU (Central Processing Unit), a main storage device such as a RAM (Random Access Memory), an HDD (Hard Disk Drive), an SSD (Solid State Drive), and a flash memory. A general computer device such as a PC having an auxiliary storage device such as the above, various input/output devices, and the like can be used.

The association setting means 2 is a configuration for setting all or part of the PDI contract information input in advance as the association of the analysis item and the explanation information regarding the analysis item. The compliance analysis unit 4 to be described later can determine whether or not the PDI contract information is set as an association between the analysis item and the explanation information, based on the presence or absence of the explanation information.

Here, the “analysis item” is the information of the PDI contract, which is positioned as a large classification when the contents of the PDI contract are divided into categories or types. The rule information that can be set as an analysis item is that the directory and file name are appropriate, that the DICOMDIR file is stored in the media such as existing in the root directory, and the logical structure of the file, and the tag of the DICOM instance. Examples of DICOM standards such as appropriate content can be exemplified, but the invention is not limited thereto.

Further, the “description information” refers to supplementary information regarding a violation, including detailed rules of the PDI convention. For example, in the case of violating the rules concerning the DICOM standard, specific input rules such as a character set, a code length, an order, and a configuration correspond to this. However, the explanation information is not limited to these, and any information can be set as long as it is supplemental information regarding the violation and the content regarding the analysis item.

Examples of the "supplementary information" include the effect that the violation has on the system operation, that is, the information that the image display or the data browsing is possible even if the violation occurs, or conversely, the image display or the data browsing. There is information that it is even impossible.

Further, it is preferable that the association setting means 2 is configured to set the method for coping with the violation of the PDI rule in association with the PDI rule information set as the association of the analysis item and the description information. As for the coping method, as long as it is the content related to the set analysis item and the explanation information and the user can resolve the violation or it can be a suggestion for resolving the violation, any method can be used. Can be set.

For example, "the patient name (0010,0010) is set" is set in the analysis item, and "character code (0008,0005) is input according to ISO-IR6" as one of the explanation information related to this analysis item. Is set by associating with each other, the content of violation to the analysis item is that the character code is input by the character set of ISO-IR87 (kanji) instead of ISO-IR6 (alphanumeric symbol). Violation is expected.

Therefore, as a countermeasure against the violation, set "Please correct the patient name to alphanumeric symbols" and urge you to correct the input content to the specified character set, or "Change the character set to Kanji You can set "Please" to prompt you to change the character set itself. Further, both of them may be set and output together so that the user can arbitrarily select the coping method, or the coping method may be separately output according to the job type of the user.

The violation level setting means 3 is configured to classify the degree of violation of the PDI standard into levels and set them in advance. It is preferable to set the violation level based on one or more of the analysis item set in the association setting unit 2 and the explanation information about the analysis item.

In addition, the following three viewpoints can be given as viewpoints when performing the level division.

1. Level division considering the method of discriminating violations Level 1: Format violations (types, lengths, sequences, configurations, etc. that can be immediately judged as violations from a single tag)
Level 2: Violation of the relationship between tags (which can be judged as a violation from the relationship of multiple tags in the same data)
Level 3: Consistency violation (thing that can be judged as a violation from the relationship with tags included in other data)

2. Leveling in consideration of the degree of influence on operation due to violation Level 1: Violation possible when displaying images and browsing data 2: Violation level where image display and data browsing are not possible 3: Information identifier Violations that can be registered if you modify the department

3. Level classification considering the explanatory information displayed in case of violation Level 1: Violation level 2 that displays the tag number (group number and element number) related to the violation Level 2: Violation level 3 that displays the content (attribute name) of the tag related to the violation : Violation level 4 that displays the tag number related to the offending tag Violation level 5 that displays the contents of the tag related to the offending tag Violation level 5: Violation level 6 that displays the supplementary information related to the offense Violation displaying the cause and/or coping method

Above 1. ~3. Is merely an example, and the viewpoint for classifying the violation level is not limited to these. Anything that is useful in outputting the analysis result and determining the processing route described later may be used.

Further, the violation level may be set by independently adopting the classification method based on the above three viewpoints, or may be set by dividing the levels. When the above three viewpoints are combined and classified into levels, it is more preferable to classify them in consideration of the job type of the operator (user), the department to which they belong, or the work environment.

For example, when the user is a radiologist, the level of viewpoint 3 is set to 4 when the levels of viewpoints 1 and 2 are 3 or more in total. On the other hand, when the user is an engineer who belongs to a maker (or a vendor) or the like, the level of viewpoint 3 is set to 3 when the level of viewpoints 1 and 2 is 3 or more in total.

In this way, by setting the violation level after considering the user's job category or department, it is possible to output explanatory information in consideration of the user's technical knowledge when outputting the analysis result, as described later. it can.

It should be noted that the information regarding the job type and the work environment of the user can be configured to be recognized by the system by a unit that accepts the input of the information when the compliance analysis device 1 of the PDI standard is activated.

The compliance analysis unit 4 is configured to analyze the compliance with the PDI protocol based on the PDI protocol information input in advance. The compliance analysis means 4 is characterized by performing two types of compliance analysis: simple analysis and composite analysis.

The simple analysis analyzes whether the storage information of the medium complies with the PDI contract information. Specific examples include file names in the medium, folder names, folder storage structures in the medium, such as the hierarchical structure of the medium, and the contents of the file include the tag type, length, order, configuration, tag and tag There is one in which the format such as the relation complies with the PDI standard. In addition to this, when analyzing the compliance of PDI contract information with respect to the storage information of the medium, it corresponds to the simple analysis.

The compliance analysis unit 4 compares the storage information of the medium with the PDI convention information input in advance, and analyzes whether or not there is storage information that violates the PDI convention. Then, when the compliance analysis unit 4 identifies a portion of the storage information of the medium that violates the PDI rule information, it determines that this is a violation of the PDI rule. At this time, the PDI contract information related to the violation is also specified. As described above, it is preferable that the compliance analysis unit 4 be configured to identify the PDI contract information that caused the violation.

Therefore, the present invention preferably designs an algorithm for compliance analysis based on the PDI standard information so that it can identify what PDI standard information the storage information of the medium violates.

Next, the compliance analysis unit 4 analyzes whether or not the PDI rule information that has caused the violation is set in the association setting unit 2. The compliance analysis unit 4 refers to the PDI rule information set in the association setting unit 2 and analyzes the presence or absence of the description information, whereby the PDI rule information related to the violation is set in advance as the association between the analysis item and the description information. It is possible to judge whether or not it is a thing. As a result of the analysis, when the PDI rule information set in the association setting unit 2 is violated, the compliance analysis unit 4 specifies the following three information in order to output the analysis result.

That is, the first information is stored information determined to be a violation in the medium. The second information is an analysis item related to a violation among the analysis items set in the association setting unit 2. The third information is explanation information set in association with the analysis item related to the violation.

Note that the PDI rule information that is the cause of the violation may be one or more of analysis items or explanation information depending on the content of the violation. In addition, when there are a plurality of pieces of explanation information related to the analysis item relating to the violation, the compliance analysis unit 4 identifies all the explanation information including those not causing the violation.

On the other hand, it is assumed that some of the PDI convention information input in advance is not set as the association between the analysis item and the explanation information. When the compliance analysis unit 4 determines that there is no association between the analysis item and the description information corresponding to the PDI rule information that has caused the violation, the compliance analysis unit 4 sets the PDI rule information that is not set in the association setting unit 2. It is judged as a violation of. In this case, the compliance analysis unit 4 identifies the PDI agreement information related to the violation.

When it is determined that the PDI rule information set in the association setting unit 2 is violated, the compliance analysis unit 4 preferably analyzes the violation level described above.

Next, the composite analysis will be described. The composite analysis is a function of analyzing the consistency of information identifiers among a plurality of data. Since the DICOM standard requires that each type of instance UID must be unique in the whole world, the compliance of uniqueness of such an information identifier will be analyzed.

The compliance analysis unit 4 compares the information identifier existing in the storage information of the medium with the information identifier already registered in the medical information management system in the medical institution, and erases the information by overwriting or in the database. Analyze uniqueness compliance by analyzing the likelihood of inconsistencies.

Then, the compliance analysis unit 4 determines that the above problem may occur when the existing data in the hospital having the same information identifier as the information identifier such as the UID or the patient ID stored in the medium is found. To do. Then, the compliance analysis unit 4 determines that this is a violation of the PDI standard, further analyzes the information identifier related to the violation, and specifies the type and content of the violation.

The present invention, when it is determined that the above problem may occur in the composite analysis, and the type and content of the violation are specified, the processing is terminated without performing the simple analysis, or the medical data as described later. It is also possible to adopt a configuration in which the processing route is determined such as only browsing without registering, or the above-mentioned simple analysis is performed after the type and content of the violation are specified. Thus, these two types of compliance analysis may be designed to perform both or one. The order of these two types of compliance analysis is not limited.

Here, with reference to Table 1, the types and contents of violations relating to information identifiers will be described. Table 1 shows the relationship with internal data (medical data already existing in the in-hospital database) when importing external data (medical data stored in a portable medium) into the in-hospital medical information management system. This is an example of the types of inconsistencies on the database that can occur in. In Table 1, No. 1 to 10 represent the types of mismatch. And what is described in the line corresponding to each number represents the content of the inconsistency.

In Table 1, No. 10 shows a case where the patient IDs of the external data and the internal data match. This is a violation that can lead to data loss due to overwriting. As described above, not only the patient ID but also the actual operation information identifiers such as the examination ID and the reception number are not guaranteed to be unique in relation to other facilities, but the target patient in the same facility is not guaranteed. Is commonly used to identify the identity of.

Therefore, when exchanging medical data, No. The violation illustrated in No. 10 is No. It can be said that this is a phenomenon that usually occurs more easily than inconsistencies related to UIDs such as 1 to 9. Therefore, in the processing route determining means 5 described later, the No. The violation of No. 10 is No. The configuration may be such that a processing route different from the mismatch such as 1 to 9 is determined.

In addition, for example, No. The inconsistency of 1 indicates that the inspection instance UID stored in the external data is the same as the inspection instance UID of certain internal data. However, no. In No. 1, the patient ID of the external data does not exist in the internal data.

In this case, it is considered that the examination instance UID of the external data violates the uniqueness defined by the DICOM standard, and it is highly likely that the examination instance UID is actually medical data of another patient. Therefore, if the external data is imported into the hospital system as it is, the duplicate examination instance UID is overwritten and the internal data disappears, or the inconsistency on the database is not resolved, and the desired medical data is deleted. Cannot be obtained, and data loss may occur in any case.

As described above, the inconsistency caused by the coincidence of the inspection instance UID, the series instance UID, the SOP (Service Object Pair) instance UID, and the patient ID in the external data with the internal data is given as an example of the content of the inconsistency. .. The types and contents of inconsistencies listed in Table 1 are merely examples, and other types and contents of inconsistencies based on UIDs and the like may be defined.

Although the method of comparing the information identifiers of the external data and the internal data to analyze the type and content of the inconsistency has been described above, the occurrence of the inconsistency is not necessarily limited to this case. For example, although the probability of occurrence is low, if the system side (provider side) that creates the media does not confirm the compliance with the PDI standard, the medical data stored in the media is substantially the same as Table 1. It is also assumed to have the same inconsistency as.

As described above, according to the present invention, by comparing the information identifiers of the external data and the internal data before registering the external data in the hospital system, it is possible that the information disappears due to overwriting or inconsistency in the database occurs. It analyzes sex. Then, when the same information identifier as the external data exists in the internal data, the information identifier is further analyzed to determine the identity of these data.

Note that it is preferable that the types and contents of assumed inconsistencies such as those listed in Table 1 are set in advance by the association setting means 2. Further, it is preferable that the analysis result output means 6 described later be configured to output the type and content of the inconsistency related to the information identifier specified by the compliance analysis means 4.

By importing external data through such an analysis, the medical data that lacks uniqueness and has the same UID is originally medical data relating to completely different patients or different examinations. It is possible to prevent a situation in which the internal data associated with the UID is lost due to the system mistakenly determining that the data is the same data and duplicate registration.

When the processing route determination means 5 described later determines the processing for registering external data lacking uniqueness in the in-hospital system, it is preferable that the normal UID is reissued and then registered. ..

The processing route determination unit 5 is configured to determine the processing route of medical data based on whether or not the medical data violates the PDI standard as a result of the analysis by the compliance analysis unit 4. For example, when it is determined as a result of the analysis by the compliance analysis unit 4 that the PDI regulations are not violated, a processing route (normal system) for registering medical data in the medical information management system in the medical institution can be determined. ..

More specifically, when it is determined by the compliance analysis unit 4 that neither the disappearance of information nor the inconsistency on the database is likely to occur, and that it does not violate any PDI agreement information, The processing route of can be determined.

If the above does not apply, that is, if there is some violation of the PDI convention, a processing route (violation system) different from the normal system can be determined. As the processing route of the violation system, for example, a processing route that only refers to an image or other data can be mentioned. By separately setting the processing route of the violation system, it is possible to maintain the system maintainability while avoiding the work delay and the disadvantage to the patient.

Further, the processing route determining means 5 may be configured to determine the processing route of the medical data based on the violation level set in the violation level setting means 3. The correspondence relationship of which processing route is determined at which violation level may be set arbitrarily.

Further, as described above, the processing route determination means 5 corrects the information identifier relating to the violation when determining the processing route for registering the medical data lacking uniqueness in the medical information management system in the medical institution. In the above, it is preferable that the medical data is registered. For example, No. 1 listed in Table 1 above. In the case of 10 inconsistencies, when avoiding registration of duplicate patient IDs, it is possible to identify external data and to newly issue a number that does not duplicate internal data. it can.

The processing route in this case, that is, if there is a possibility that it may lead to a problem in data management or display if the data is taken in as it is, but there is an inconsistency such as a UID inconsistency that is not a violation of the PDI convention itself. The processing route of is positioned in the middle (quasi-violation system) of the processing routes of the normal system and the violation system.

The following configuration can be preferably exemplified as the processing for determining the above-mentioned quasi-violation processing route. For example, before the processing route determination means 5 issues a new number or the like, the compliance analysis means 4 targets the patient name of the external data and the internal data (only the "first name" in consideration of the change of the "last name"). , Etc.), sex, date of birth, etc. are compared to determine whether both data relate to the same patient.

Then, in the case where both data are related to the same patient by the compliance analysis means 4, when both data are the same data, the processing route determination means 5 overwrites the internal data with the external data. It can be used as a processing route to be registered. On the other hand, when the two data are different data, the processing route determination means 5 can be used as the processing route for registering the external data as the additional information of the patient.

Further, when the compliance analysis unit 4 determines that both data do not relate to the same patient, a processing route for issuing and registering a new number or the like can be used as described above. This makes it possible to avoid data loss.

The information used by the compliance analysis unit 4 to determine the identity of a patient is not limited to information such as the patient's name, sex, date of birth, etc., and may be an individual such as a telephone number, health insurance card number, my number, etc. It can also be identifiable information.

The analysis result output unit 6 is configured to output the analysis result of the compliance analysis unit 4 on the compliance with the PDI standard. If the analysis result output unit 6 determines that there is no violation of the PDI standard as a result of the compliance analysis by the compliance analysis unit 4, the analysis result output unit 6 may be configured to output that effect. The GUI in this case may be designed arbitrarily.

On the other hand, when it is determined that the PDI contract information set in the association setting unit 2 is violated as a result of the compliance analysis, it is preferable to output the analysis result as described below together with the presence or absence of the violation.

That is, it is preferable to output the storage information determined as a violation, the analysis item related to the violation, and the explanation information related to the analysis item related to the violation.

Further, when it is determined that the PDI rule information that is not set in the association setting unit 2 is violated, the PDI rule information related to the violation may be output as an analysis item in addition to the stored information that is determined to be the violation. ..

For example, according to the PDI standard, data of one patient or one patient ID should be originally written in one CD-R, but data of two patients is written in the medium. However, it is assumed that the PDI rule information has not been set in the association setting unit 2 as the association between the analysis item and the description information. In this case, the violation is judged as a violation of the PDI contract information not set in the association setting unit 2. Then, the analysis result is output as an analysis item related to the violation by the analysis result output means 6 with an output content such as “a violation of the number of patients writable in one medium”.

It is preferable that the analysis result output means 6 is configured to separately display the information related to the analysis results without displaying them together. With such a configuration, it becomes clear which information refers to what, and it becomes easier to understand the analysis result, so that the problem solving time can be further shortened.

It is preferable that the analysis result output unit 6 is configured to associate and display the analysis item related to the violation, the storage information determined to be the violation, and the explanation information related to the analysis item related to the violation.

It is preferable that the analysis result output unit 6 is configured to output the PDI contract information that is the cause of the violation identified by the compliance analysis unit 4. For example, when assuming the actual medical field, if the memory information of the DICOM file that violates the PDI regulations is the information regarding “patient name”, the violating memory information is “input information of patient name”. If the analysis item relating to the violation is “patient name tag (0010,0010)”, the superficial violation location can be understood.

However, if it is not possible to understand the cause of the problem such as whether the root cause is the character set or the code length, it may take more time to solve the problem. Therefore, it is preferable that the present invention be configured to output the information that causes the violation.

Note that the analysis result output unit 6 can output not only the PDI rule information related to the cause of the violation but also other descriptive information even when outputting the PDI rule information that causes the violation. ..

The analysis result output means 6 outputs the coping method for the violation when the compliance analysis means 4 determines that the PDI rule is violated and the coping method for the violation is set in the association setting means 2. Preferably.

It is preferable that the analysis result output unit 6 outputs the analysis result based on the violation level analyzed by the compliance analysis unit 4. For example, as shown in the above-mentioned viewpoint 3 of the violation level (level division considering the explanation information displayed at the time of violation), the content of the information to be output can be determined according to the set violation level. ..

In addition, as described above, when the violation level is set in consideration of the user's occupation, etc., it is possible to output more detailed content as explanatory information to users such as medical staff who have poor technical knowledge. The contents of can be easily understood and the problem solving time can be shortened. On the other hand, for users such as engineers who have specialized technical knowledge, it is possible to improve the visibility of the information related to the violation and to improve the work efficiency by outputting only the simple contents. ..

Here, the information output by the analysis result output means 6 will be described in detail with reference to FIGS. FIG. 2 is an output result when the inspection instance UID violates a predetermined input format in the PDI convention. In FIG. 2, “UI type violation” indicates an analysis item related to the violation, “0020000D (hereinafter omitted)” indicates stored information determined to be a violation in a portable medium, and “even byte length within 64 bytes (hereinafter omitted). )” indicates explanatory information related to the analysis item.

Further, FIG. 3 shows an output result when the file name violates a predetermined input format in the PDI convention. In Figure 3, "File Name Violation" does not match the analysis item related to the violation, "DICOM\PT0001\0-0001" does not match the memory information determined to be the violation on the portable medium to "ISO8859 G0 character set". (Omitted below)” is the explanation information for each analysis item.

In the case of a format-related violation as shown in FIGS. 2 and 3, in order to solve the problem, it is an appropriate coping method to correct the format related to the violation. Therefore, in such a case, the format information required by the standard can be easily understood by the user by simply listing and displaying the description information including the PDI contract information that has caused the violation.

FIG. 4 shows an output result when the character set tag of the DICOM file violates a predetermined standard. In FIG. 4, “patient name violation” is the analysis item related to the violation, “0010,0010 (hereinafter omitted)” is the stored information determined to be the violation in the portable medium, and is “patient name (0010,0010)...・(Omitted)... Different character sets are used.” indicates the explanation information for each analysis item.

In the actual medical field, there are some violations such as the input of information different from the designated character set into a PN (Person Name) type tag as in this example. In the conventional system, in many cases, the fact that the error is the tag of the patient name is displayed for such a violation, and it takes time to find the root cause and the coping method.

In the present invention, not only the analysis item relating to the violation and the storage information determined to be the violation but also the explanation information concerning the analysis item is output together, so that it is possible to shorten the time to solve the problem.

In addition, in Fig. 4, "...(Omitted)... different character set is used for patient name (0010,0010)" is the explanation information about the analysis item and also shows the cause of the violation. There is. Then, as a coping method for the violation, “whether the patient name is an alphanumeric symbol... (Omission)... As described above, with respect to frequently occurring errors, it is preferable to output the explanation information capable of recalling the coping method for solving the problem or the coping method itself.

Further, in FIG. 4, the tags related to the analysis item related to the violation are displayed (the place marked with * in the figure). As described above, the “related tag” may be separately and explicitly displayed as the explanation information about the analysis item.

FIG. 5 is an output result in the case where it is determined that the compliance analysis unit 4 determines the possibility of disappearance of information due to overwriting or occurrence of inconsistency in the database as a result of comparing the information identifiers of the external data and the internal data, It shows a case where the UID violates uniqueness. In FIG. 5, the type of violation is No. It is set as 1, and the specific content thereof indicates that the same inspection instance UID as the inspection instance UID of the external data also exists in the internal data. And in FIG. 5, it has shown that the processing route which does not register the said data into an in-hospital system was determined.

Further, in FIG. 6, the medical data in the medium is No. 3 is an output result showing that there is a mismatch of 3. In this case, since the data A and the data B originally have different series images but have the same series instance UID, one of the two data in the medium is a code that violates uniqueness. You can see that it has been created.

2 to 6, the PDI rule information related to the violation is set as the association of the analysis item and the explanation information in advance, and the explanation information (the lower part of FIGS. 2 to 6) is output. Alternatively, the PDI rule information may not be set as an association and the description information may not be output. Further, even when the PDI rule information is set as the association, the explanation information may not be output depending on the set violation level.

FIG. 7 is a flowchart showing the overall flow of processing relating to the PDI standard compliance analysis device 1 in the present embodiment.

In FIG. 7, in step S1, the compliance analyzing apparatus 1 of the PDI standard reads medical data stored from a medium inserted via a media drive. Alternatively, the medical data to be exchanged is read via the Internet. Then, in step S2, the compliance analysis unit 4 analyzes the compliance of the PDI contract information. The compliance analysis unit 4 can execute two types of compliance analysis, that is, a simple analysis (step S21) and a composite analysis (step S22). The order of the simple analysis and the composite analysis is not particularly limited.

In addition, when the compliance analysis unit 4 determines that the medical data violates the PDI agreement information set in the association setting unit 2, based on the violation level set in the violation level setting unit 3, a violation relating to the violation. The level is analyzed (step S23).

In addition, when it is determined that the PDI rule information set in the association setting unit 2 is violated, the compliance analysis unit 4 stores the storage information determined to be a violation in the medium, the analysis item related to the violation, and the explanatory information related to the analysis item related to the violation. , Is specified.
On the other hand, when it is determined that the PDI rule information that is not set in the association setting unit 2 is a violation, the compliance analysis unit 4 identifies the storage information that is determined to be a violation in the medium and the PDI rule information related to the violation.
After the processing of the compliance analysis as described above, the post-compliance analysis processing (step S3) described in FIG. 8 is executed.

FIG. 8 is a flowchart showing the flow of processing after the compliance analysis according to the PDI protocol compliance analysis apparatus 1 in the present embodiment.

Steps S31 and S32 show two processes after the compliance analysis of the PDI standard by the compliance analysis unit 4. In step S32, the analysis result output unit 6 outputs the analysis result of the compliance of the PDI standard by the compliance analysis unit 4. Specifically, based on the analysis result (whether or not there is a violation) by the compliance analysis unit 4 (step S321), if there is no violation of the PDI convention, the analysis result output unit 6 outputs a message to that effect ( Step S322). On the other hand, when there is a violation of the PDI agreement, the analysis result output means 6 considers the violation level (step S323) and then determines whether the violation is a violation of the PDI agreement information set in the association setting means 2. (Step S324), the analysis result is output as follows together with the presence/absence of a violation.

That is, when the violation to the PDI rule is set in the association setting unit 2, the analysis result output unit 6 relates to the storage information determined as the violation in the medium, the analysis item related to the violation, and the analysis item related to the violation. The explanation information is output (step S325).
On the other hand, when the violation to the PDI rule is not set in the association setting unit 2, the analysis result output unit 6 adds the PDI rule information related to the violation to the analysis item in addition to the stored information determined as the violation in the medium. (Step S326).

In step S31, the processing route determination means 5 determines the processing route of the read medical data. Whether the processing route (normal system) to be registered in the medical information management system in the medical institution is determined (step S314) depending on whether or not there is a violation of the PDI agreement (step S311), or as special processing, image display or data A processing route (violation system) for only browsing or the like is determined, or a processing route (quasi-violation system) for registering medical data after correcting the information identifier is determined (step S313). In performing the special processing, the processing route determination means 5 determines the processing route after considering the violation level (step S312).

The processing route determination (step S31) can be executed as a process in parallel with the analysis result output (step S32) as shown in FIG. 8, and although not shown, the analysis result output (step S32) You can also run it before or after.

ADVANTAGE OF THE INVENTION According to this invention, when importing medical data from the outside, the said violation can be promptly resolved in the scene where the violation of PDI regulations was discovered. Then, the maintainability of the medical information management system can be improved.

1 PDI conformance analysis device 2 Association setting means 3 Violation level setting means 4 Compliance analysis means 5 Processing route determination means 6 Analysis result output means NW Hospital network DB Hospital database

Claims (13)

A program for analyzing compliance with PDI regulations when exchanging medical data stored in a medium and outputting an analysis result, comprising:
Association setting means for setting the agreement information of the PDI agreement as an association of the analysis item and the explanation information about the analysis item;
Violation level setting means for setting a level of violation of the PDI standard based on one or more of the analysis items and the explanation information;
If the stored information stored in the medium is analyzed for compliance with the PDI standard and it is determined that the stored information violates the PDI standard information, the stored information determined to be a violation in the medium and the PDI standard information relating to the violation And a compliance analysis unit that determines the violation level to the PDI standard based on the setting by the violation level setting unit ,
A program that functions as an analysis result output unit that outputs an analysis result by the compliance analysis unit based on the violation level . Before SL compliance analysis unit, when the stored information is determined to violate the PDI regulation information to identify the presence or absence of association by the association setting means based on the presence or absence of the description information,
The program according to claim 1, wherein the analysis result output unit outputs, when the compliance analysis unit determines that the association by the association setting unit is present, explanatory information regarding an analysis item related to a violation. The program according to claim 1 or 2, wherein the analysis result output unit associates and displays the analysis item related to the violation, the storage information determined to be the violation, and the explanation information related to the analysis item related to the violation. .. When the association setting unit sets a method of coping with a violation of the PDI contract in association with the PDI contract information and sets the compliance analysis unit to determine the violation,
The program according to any one of claims 1 to 3, wherein the analysis result output unit outputs a coping method for a violation of the PDI standard. The compliance analysis means identifies the information causing the violation,
The program according to any one of claims 1 to 4, wherein the analysis result output unit outputs the information that causes the violation. The compliance analysis means, as a simple analysis, compares the storage information of the medium with the PDI contract information to analyze the presence or absence of the storage information that violates the PDI contract. The program according to item 1. As the composite analysis , the compliance analysis means compares the information identifier existing in the storage information of the medium with the information identifier already registered in the medical information management system in the medical institution, and the information disappears due to overwriting. Alternatively, if the possibility of occurrence of inconsistency on the database is analyzed and it is determined that the possibility of occurrence is present, it is determined that the PDI rule is violated, and the information identifier relating to the violation is further analyzed to determine the type of the violation. The program according to any one of claims 1 to 6, which specifies the content and the content. The program according to any one of claims 1 to 7, further comprising processing route determination means for determining a processing route of medical data based on whether or not there is a violation of the PDI regulations. The program according to claim 8 , wherein the processing route determination means determines a processing route for medical data based on the violation level. The processing route determining means, when determining the process route for registering medical data to the medical information management system in a medical institution, and registers the medical data to correct the information identifier of the violation, claim 9 The program described in. The PDI convention medical data including data exchange conventions for exchanging via the Internet (net Non PDI), the program according to any one of claims 1-10. A device for analyzing compliance with PDI regulations when exchanging medical data stored in a medium and outputting an analysis result,
Association setting means for setting the agreement information of the PDI agreement as an association of the analysis item and the explanation information about the analysis item;
Violation level setting means for setting a level of violation of the PDI standard based on one or more of the analysis items and the explanation information;
If the stored information stored in the medium is analyzed for compliance with the PDI standard and it is determined that the stored information violates the PDI standard information, the stored information determined to be a violation in the medium and the PDI standard information relating to the violation And a compliance analysis unit that determines the violation level to the PDI standard based on the setting by the violation level setting unit ,
On the basis of the violation level, and analysis result output means for outputting the analysis result by the compliance analysis means, Bei El a device. A method for analyzing compliance with PDI regulations when exchanging medical data stored in a medium and outputting the analysis result, the method comprising :
Storing the rule information of the PDI rule set as an association of the analysis item and the explanation information about the analysis item;
Storing a level of violation of the PDI standard, which is set based on one or more of the analysis item and the explanation information,
If the stored information stored in the medium is analyzed for compliance with the PDI standard and it is determined that the stored information violates the PDI standard information, the stored information determined to be a violation in the medium and the PDI standard information relating to the violation And a compliance analysis step of determining a violation level to the PDI rule based on the set level of the violation to the PDI rule .
Based on the violation level, how to perform the analysis result output step of outputting the analysis result by the compliance analysis process.