CN114116093A - Radiology department application system - Google Patents
Radiology department application system Download PDFInfo
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- CN114116093A CN114116093A CN202111325094.6A CN202111325094A CN114116093A CN 114116093 A CN114116093 A CN 114116093A CN 202111325094 A CN202111325094 A CN 202111325094A CN 114116093 A CN114116093 A CN 114116093A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
Abstract
The invention discloses a radiology department application system, which comprises a RIS system, a PACS system, an AI system and a scheduling brain, wherein the scheduling brain is respectively connected with the PACS system, the AI system and the RIS system, and the RIS system can call the scheduling brain; the scheduling brain can analyze the parameters transmitted by the RIS system, and automatically open options in the PACS system and the AI system according to preset content configuration, wherein the options can be images or corresponding AI analysis results; in the application system, the scheduling brain can analyze the parameters transmitted by the RIS system and automatically open the options in the PACS system and the AI system, the whole interface is simple, a plurality of buttons and suspension frames do not need to be customized, and the application system can improve the working efficiency of users.
Description
Technical Field
The invention particularly relates to a radiology department application system.
Background
A radiology information management system (RIS) is a software system for optimizing the workflow management of a hospital radiology department, and a typical flow includes links such as booking, seeing a doctor, generating images, outputting, reporting, auditing and issuing. A Picture Archiving and Communication System (PACS) is a comprehensive system that has been rapidly developed in recent years with the advancement of digital imaging technology, computer technology, and network technology and aims to comprehensively solve the acquisition, display, storage, transmission, and management of medical images.
In the prior art, when a radiology department uses an RIS system and a PACS system, a report is written in the RIS system, and an image is browsed in the PACS system. Clicking on the written report in the RIS reporting system automatically opens the picture (sending parameters to the PACS telling the PACS to open a certain picture of a certain patient; only opening the PACS picture of the RIS system's own home can open automatically).
Many AI systems are difficult to be called by the RIS system, and the adopted method is relatively inefficient, and now there are two general methods:
(1) ocr identify a fixed area in the RIS interface, the doctor opens the AI image by clicking on the floating box that floats on the RIS reporting system interface.
(2) The RIS system adds a custom button, puts in the AI link, and transmits the parameter through the AI link when opening.
The defects of the two modes are that manual operation is needed, the AI system corresponds to the suspension frame and the customization buttons one by one, the more the AI is, the more the suspension frame and the customization buttons are, the difficulty in expansion is high, and the use experience is poor.
Disclosure of Invention
In view of the above, the present invention provides a radiology department application system to overcome the shortcomings of the prior art.
In order to achieve the purpose, the invention provides the following technical scheme:
a radiology department application system comprises a RIS system and/or a HIS system, a PACS system, an AI system and a scheduling brain, wherein the scheduling brain is respectively connected with the PACS system, the AI system, the RIS system and/or the HIS system, and the RIS system and/or the HIS system can call the scheduling brain; the scheduling brain can analyze parameters transmitted by the RIS system and/or the HIS system, and automatically open options in the PACS system and the AI system according to preset content configuration, wherein the options can be images or corresponding AI analysis results;
the dispatching brain comprises a receiving module, a strategy library, an analysis module and a dispatching module, wherein the receiving module is connected with the RIS system and/or the HIS system, the receiving module and the strategy library are respectively connected with the analysis module, the analysis module is also connected with the dispatching module, and the dispatching module is respectively connected with the PACS system and the AI system;
the receiving module is configured to receive parameters transmitted by the RIS system and/or the HIS system, the strategy base is configured to provide the strategies, the analyzing module is configured to analyze the parameters transmitted by the RIS system and/or the HIS system and judge which strategy in the strategy base is selected, and the scheduling module is configured to execute the system specified in the calling strategy.
In other embodiments, the RIS system can be replaced with any one or more of other systems, such as the RIS system, the HIS system, etc. Other systems, such as the HIS system, may invoke the scheduling brain, which opens options in the PACS system or AI system.
Furthermore, the UI interfaces of the scheduling brain, the RIS system, the PACS system, the HIS system and the AI system are C/S architecture or B/S architecture.
Further, the RIS system refers to an RIS diagnostic reporting system, the PACS system refers to a PACS image browsing system, and the AI system refers to an AI image browsing system. The HIS system is a Hospital information system (Hospital information system).
Further, the content set in advance in the scheduling brain comprises the following input ends: the RIS diagnostic reporting system transmits parameters to the AI image browsing system in a format and definition, the parameters including, but not limited to, the following: DICOM checks student instance UID, Access No, Department ID, USER ID, and Hospital ID.
Further, the content set in advance in the scheduling brain includes an output end: for each AI image browsing system, a format and a definition of parameters transmitted by a scheduling brain to each AI image browsing system are respectively configured, and the parameters include, but are not limited to, the following: DICOM checks student instance UID, Access No, Department ID, USER ID, Hospital ID.
Further, the content set in advance in the scheduling brain includes: the video service data source includes, but is not limited to, the following data items and their associated ID codes, in addition to the data items related to the input end and the output end: the type of the patient, the type of the image examination, the examination part, the Chinese name of the examination item, the English name of the examination item, the sex, the age, the application institution, the application department and the application doctor.
Further, the content set in advance in the scheduling brain includes scheduling logic: and according to the input end parameters, in the image service data source, after judgment according to specific conditions, the output end schedules a specific image AI system.
The invention has the beneficial effects that:
in the application system, the scheduling brain can analyze the parameters transmitted by the RIS system and automatically open the options in the PACS system and the AI system, the whole interface is simple, a plurality of buttons and suspension frames do not need to be customized, and the application system can improve the working efficiency of users.
Drawings
Fig. 1 is a schematic view of a radiology application system of the present invention.
Fig. 2 is a schematic diagram of a scheduling brain.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. Reference herein to "a plurality" means greater than or equal to two. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
A radiology department application system comprises a RIS system, a PACS system, an AI system and a scheduling brain, wherein the scheduling brain is respectively connected with the PACS system, the AI system and the RIS system, and the RIS system can call the scheduling brain; the scheduling brain can analyze the parameters transmitted by the RIS system, and automatically open options in the PACS system and the AI system according to the preset content configuration, wherein the options can be images or corresponding AI analysis results.
In other embodiments, the RIS system can be replaced with any one or more of other systems, such as the RIS system, the HIS system, etc. Other systems, such as the HIS system, may invoke the scheduling brain, which opens options in the PACS system or AI system.
In some preferred modes, as shown in fig. 2, the scheduling brain includes a receiving module, a policy repository, an analyzing module and a scheduling module, the receiving module is connected to the RIS system, the receiving module and the policy repository are respectively connected to the analyzing module, the analyzing module is connected to the scheduling module, and the scheduling module is respectively connected to the PACS system and the AI system.
The receiving module is configured to be capable of receiving parameters transmitted by the RIS system, the strategy base is configured to be capable of providing strategies, the analyzing module is configured to be capable of analyzing the parameters transmitted by the RIS and judging which strategy in the strategy base is selected, and the scheduling module is configured to be capable of executing the system specified in the calling strategy.
In some preferred modes, the UI interfaces of the scheduling brain, the RIS system, the PACS system and the AI system can be C/S architecture and B/S architecture.
In this embodiment, a radiology application system is shown in fig. 1, and the scheduling brain integrates 2 RIS systems (RIS system 1, RIS system 2), 2 PACS systems, and 2 AI systems.
For example, a doctor uses the RIS system 1 to send instructions to the scheduling brain: opening a group of images with the examination number of "123456", and scheduling the brain to find that the group of images with the examination number of "123456" from the RIS system 1 is coronary CT examination, wherein the images can be opened in the pacs system 1, the AI system 1 and the AI system 2, the AI system is preferentially recommended by the system, and the doctor is known to prefer the AI system 2 through history data analysis; the scheduling brain sends an instruction to the AI system 2 to open the set of images.
In the present invention, when a plurality of callable systems are found, the scheduling brain first selects one of the default systems. The default system may be set in advance, selecting or invoking which system is a policy in the policy repository.
A plurality of callable systems can be set according to different parameters transmitted by the RIS system, and one of the callable systems can be selected as a default option. A plurality of priorities may also be set in advance. In this embodiment, the priority is set, the default and non-default of the system are distinguished, and the default setting of the system is preferentially selected.
In this embodiment, the RIS system refers to an RIS diagnosis report system, and the PACS system refers to: PACS image browsing system, AI system refers to AI image browsing system. The UI interfaces of the three systems can be C/S architecture or B/S architecture; the system can be a pure web (such as HTML5) or a terminal program which needs to be installed, and in any form, the RIS system, the PACS system and the AI system have respective servers (databases).
In some preferred modes, the content set in advance in the scheduling brain includes:
(1) input end: the format and definition of the RIS diagnostic reporting system to refer to the scheduling brain, parameters may include, but are not limited to, the following: the specific format and parameter range mainly depend on the support range of the RIS diagnosis report system. These contents can be set at the receiving module of the scheduling brain.
In the prior art, the RIS diagnosis report system can directly transmit parameters to the AI image browsing system, but the use efficiency is low and the experience is poor. For example, 5 corresponding buttons are needed for calling 5 AI image browsing systems, but the number of the conventional RIS systems is only 1, and even if a part of the RIS systems support a plurality of buttons, the number of the buttons closely connected with the workflow is only 1; the other 4 require active selection by the user.
(2) Output end: for each AI image browsing system, a format and a definition thereof for the scheduling brain to transmit parameters to each AI image browsing system are configured, and the parameters may include, but are not limited to, the following: DICOM inspection student instance UID (unique inspection code in DICOM standard), access No (inspection number), Patient ID (Patient ID), Department ID (Department ID), USER ID (USER ID), Hospital ID (Department ID), and the like, and the specific format and parameter range mainly depend on the support range of each image AI system. The number of configurations of the output terminal may be plural groups. These contents can be set at the scheduling module of the scheduling brain.
(3) The video service data source may include, but is not limited to, the following data items and their associated ID codes, in addition to the data items related to the input end and the output end: the type of the patient's visit (e.g., "outpatient service", "hospitalization", "physical examination", etc.), the type of the image examination (e.g., "CT", "MR", etc.), the examination site (e.g., "head", "chest", "abdomen", etc.), the chinese name of the examination item, the english name of the examination item, the sex, age, area of application, department of application, doctor of application, etc.
(4) The scheduling logic: and according to the input end parameters, in the image service data source, after judgment according to specific conditions, the output end schedules a specific image AI system or a PACS image browsing system. The specific conditions are exemplified as follows: (1) the type of the patient is "physical examination", the type of the image examination is "CT", and the examined part is all images of the "chest". (2) Personal user habits, frequency of use of each video AI system, maturity evaluation index of each video AI system, and the like.
In some preferred modes, the scheduling logic module can be configured at a server side.
The features of the above-mentioned embodiments may be arbitrarily combined, and for the sake of brevity, all possible combinations of the above-mentioned embodiments are not described, but should be construed as being within the scope of the present specification as long as there is no contradiction between the combinations of the features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of protection. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (7)
1. A radiology department application system is characterized by comprising a RIS system and/or a HIS system, a PACS system, an AI system and a scheduling brain, wherein the scheduling brain is respectively connected with the PACS system, the AI system and the RIS system and/or the HIS system, and the RIS system and/or the HIS system can call the scheduling brain; the scheduling brain can analyze parameters transmitted by the RIS system and/or the HIS system, and automatically open options in the PACS system and the AI system according to preset content configuration, wherein the options can be images or corresponding AI analysis results;
the dispatching brain comprises a receiving module, a strategy library, an analysis module and a dispatching module, wherein the receiving module is connected with the RIS system and/or the HIS system, the receiving module and the strategy library are respectively connected with the analysis module, the analysis module is also connected with the dispatching module, and the dispatching module is respectively connected with the PACS system and the AI system;
the receiving module is configured to receive parameters transmitted by the RIS system and/or the HIS system, the strategy base is configured to provide the strategies, the analyzing module is configured to analyze the parameters transmitted by the RIS system and/or the HIS system and judge which strategy in the strategy base is selected, and the scheduling module is configured to execute the system specified in the calling strategy.
2. The radiology department application system of claim 1 wherein the UI interfaces of the dispatch brain, RIS system, HIS system, PACS system, AI system are either C/S architecture or B/S architecture.
3. The radiology department application of claim 1 wherein the RIS system is a RIS diagnostic reporting system, the PACS system is a PACS video viewing system, and the AI system is an AI video viewing system.
4. The radiology application of claim 3 wherein the scheduling brain includes inputs for: the RIS diagnostic reporting system transmits parameters to the AI image viewing system, to the scheduling brain in a format and in a definition, the parameters including, but not limited to, the following: DICOM checks student instance UID, Access No, Department ID, USER ID, and Hospital ID.
5. The radiology application of claim 3 wherein the scheduling brain pre-configured content includes output: for each AI image browsing system, a format and a definition of parameters transmitted by a scheduling brain to each AI image browsing system are respectively configured, and the parameters include, but are not limited to, the following: DICOM checks student instance UID, Access No, Department ID, USER ID, Hospital ID.
6. The radiology department application system of claim 3 wherein the scheduling brain pre-configured content comprises: the video service data source includes, but is not limited to, the following data items and their associated ID codes, in addition to the data items related to the input end and the output end: the type of the patient, the type of the image examination, the examination part, the Chinese name of the examination item, the English name of the examination item, the sex, the age, the application institution, the application department and the application doctor.
7. The radiology application of claim 3 wherein the scheduling logic is configured to, in advance of the scheduling brain: and according to the input end parameters, in the image service data source, after judgment according to specific conditions, the output end schedules a specific image AI system or a PACS image browsing system.
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