CN114116093B - Radiology department application system - Google Patents
Radiology department application system Download PDFInfo
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- CN114116093B CN114116093B CN202111325094.6A CN202111325094A CN114116093B CN 114116093 B CN114116093 B CN 114116093B CN 202111325094 A CN202111325094 A CN 202111325094A CN 114116093 B CN114116093 B CN 114116093B
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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
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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 parameters transmitted by the RIS system, and automatically opens 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 dispatching brain can analyze the parameters transmitted by the RIS system, automatically open options in the PACS system and the AI system, and the whole interface is concise without customizing a plurality of buttons and suspension frames.
Description
Technical Field
The invention relates to a radiology department application system.
Background
The radiology information management system (Radioiogy information system, RIS) is a software system that optimizes hospital radiology workflow management, and a typical procedure includes registering reservations, visits, generating images, delivering sheets, reporting, auditing, issuing sheets, etc. Medical image archiving and communication systems (Picture archiving and communication systems, PACS), which are integrated systems aimed at comprehensively solving the acquisition, display, storage, transmission and management of medical images, have been rapidly developed in recent years with the advancement of digital imaging technology, computer technology and network technology.
In the prior art, when the RIS and PACS systems are used in radiology departments, reports are written in the RIS system, and images are browsed in the PACS system. Clicking the written report in the RIS report system automatically opens the image (parameters are transmitted to the PACS to tell the PACS to open a certain image of a certain patient; only the PACS image of the RIS system itself can be opened automatically).
Many AI systems are difficult to review by RIS systems, and the manner employed is relatively inefficient, in two general ways:
(1) ocr identify a fixed area in the RIS interface and the physician opens the AI interface image by clicking on a hover box hovering over the RIS reporting system interface.
(2) The RIS system adds a custom button, places an AI link, and transmits the parameters through the AI link when opening.
The disadvantage of the two modes is that manual operation is needed, and the AI system is in one-to-one correspondence with the suspension frame and the custom buttons, and the more AI, the more suspension frames and custom buttons are, the more difficult to expand, and the use experience is poor.
Disclosure of Invention
In view of the foregoing, the present invention provides a radiology application system to overcome the drawbacks of the prior art.
In order to achieve the above object, the present invention provides the following technical solutions:
the utility model provides a radiology department application system, includes RIS system and/or HIS system, PACS system, AI system and dispatch brain, and the dispatch brain is connected with PACS system, AI system, RIS system and/or HIS system respectively, and RIS system and/or HIS system can call the dispatch brain; the scheduling brain can analyze parameters transmitted by the RIS system and/or the HIS system, and automatically opens 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 policy library is configured to provide policies, the analyzing module is configured to analyze the parameters transmitted by the RIS system and/or the HIS system, determine which policy in the policy library is selected, and the scheduling module is configured to execute the system designated in the calling policies.
In other embodiments, the RIS system may be replaced with any one or more of a RIS system, a HIS system, and the like. Other systems, such as the HIS system, may call the scheduling brain to open options in the PACS system or AI system by the scheduling brain.
Further, the UI interfaces of the 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 a RIS diagnostic report 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 includes an input terminal: the RIS diagnostic reporting system schedules brain transmissions to the AI image browsing system in the form of and definition of parameters including, but not limited to, the following: DICOM check study instance UID, access No, patientID, device ID, USER ID, hospital ID.
Further, the content set in advance in the scheduling brain includes an output terminal: for each AI image browsing system, a format for scheduling the brain to transmit parameters to each AI image browsing system and definition thereof are respectively configured, and parameters include, but are not limited to, the following: DICOM check study instance UID, access No, patient ID, device ID, USER ID, hospital ID.
Further, the content set in advance in the scheduling brain includes: the image service data source comprises the data items related to the input end and the output end, and also comprises the following data items and related ID codes thereof, but is not limited to: patient visit type, image examination type, examination part, examination item Chinese name, examination item English name, patient gender, age, application department, application doctor.
Further, the content set in advance at the scheduling brain includes scheduling logic to: and according to the parameters of the input end, in the image service data source, the output end dispatches a specific image AI system after judging according to specific conditions.
The beneficial effects of the invention are as follows:
in the application system, the dispatching brain can analyze the parameters transmitted by the RIS system, automatically open options in the PACS system and the AI system, and the whole interface is concise without customizing a plurality of buttons and suspension frames.
Drawings
Fig. 1 is a schematic diagram of a radiology application system of the present invention.
Fig. 2 is a schematic diagram of a dispatch brain.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described and illustrated below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden on the person of ordinary skill in the art based on the embodiments provided herein, are intended to be within the scope 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 may be included in at least one embodiment of the application. The appearances of such phrases 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. It is to be expressly and implicitly understood by those of ordinary skill in the art that the embodiments described herein can be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar terms herein do not denote a limitation of quantity, but rather denote the singular or plural. The terms "comprising," "including," "having," and any variations thereof, are intended to cover a non-exclusive inclusion; the terms "connected," "coupled," and the like in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as used herein means greater than or equal to two. "and/or" describes an association relationship of an association object, meaning that there may be three relationships, e.g., "a and/or B" may mean: a exists alone, A and B exist together, and B exists alone. The terms "first," "second," "third," and the like, as used herein, are merely distinguishing between similar objects and not representing a particular ordering of objects.
The 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 parameters transmitted by the RIS system, and automatically opens 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 other embodiments, the RIS system may be replaced with any one or more of a RIS system, a HIS system, and the like. Other systems, such as the HIS system, may call the scheduling brain to open options in the PACS system or AI system by the scheduling brain.
In some preferred modes, as shown in fig. 2, 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, the receiving module and the strategy library are respectively connected with the analysis module, the analysis module is 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 be capable of receiving parameters transmitted by the RIS system, the policy library is configured to be capable of providing policies, the analyzing module is configured to be capable of analyzing the parameters transmitted by the RIS, judging which policy in the policy library is selected, and the scheduling module is configured to be capable of executing the system specified in the calling policy.
In some preferred modes, the UI interfaces of the dispatching brain, RIS system, PACS system and AI system can be C/S architecture or B/S architecture.
In this embodiment, as shown in fig. 1, a radiology department application system schedules the brain to integrate 2 RIS systems (RIS system 1, RIS system 2), 2 PACS systems, 2 AI systems.
For example, a doctor uses RIS system 1 to send instructions to the scheduling brain: opening a group of images with the examination number of "123456", scheduling the brain to find that the group of images from the RIS system 1 of "123456" is a coronary CT examination, and opening in the pacs system 1, the AI system 1 and the AI system 2, wherein the system preferentially recommends the AI system, and the history data analysis shows that the doctor prefers the AI system 2; the brain is scheduled to send instructions to the AI system 2 to open the set of images.
In the invention, when a plurality of callable systems are found, the scheduling brain will first select 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.
For different parameters transmitted by the RIS system, a plurality of callable systems can be set, and one of the callable systems can be selected as a default option. Multiple priorities may also be set in advance. In this embodiment, the priority is set, and the default setting of the system is selected preferentially by distinguishing the default setting from the non-default setting.
In this embodiment, the RIS system refers to an RIS diagnostic report system, and the PACS system refers to: the PACS image browsing system and the AI system refer to the AI image browsing system. The UI interfaces of the three systems can be a C/S architecture or a B/S architecture; the system can be a pure web (such as HTML 5) or a terminal program to be installed, and the RIS system, the PACS system and the AI system all have respective service ends (databases) in any mode.
In some preferred forms, the content set in advance at the scheduling brain includes:
(1) An input end: the RIS diagnostic reporting system schedules brain transmissions to the format of and definition of parameters that may include, but are not limited to, the following: DICOM exam study instance UID (exam unique code in DICOM standard), accession No (exam number), patient ID, device ID, USER ID, hospital ID, etc., the specific format and parameters range mainly depends on the support range of the RIS diagnostic reporting system. These contents may be set at the receiving module of the dispatch brain.
In the prior art, the RIS diagnosis report system can directly transmit parameters to the AI image browsing system, but has low use efficiency and poor experience. For example, 5 corresponding buttons are required for invoking 5 AI image browsing systems, but only 1 of the existing RIS systems is generally and conventionally used, and even if a part of RIS systems support a plurality of buttons, only 1 of the buttons closely connected with the workflow can be used; the other 4 require active selection by the user.
(2) And an output end: for each AI image browsing system, a format for scheduling the brain to transmit parameters to each AI image browsing system and its definition are configured, and the parameters may include, but are not limited to, the following: DICOM exam study instance UID (exam unique code in DICOM standard), accession No (exam number), patient ID, device ID, USER ID, hospital ID, etc., the specific format and parameter range mainly depend on the support range of each image AI system. The number of configurations of the output terminals may be plural. These contents may be set at a scheduling module that schedules the brain.
(3) The image service data source includes the data items related to the input end and the output end, and may include, but is not limited to, the following data items and related ID codes thereof: the type of patient visit (e.g., "outpatient," "hospitalization," "physical examination," etc.), the type of imaging exam (e.g., "CT," "MR," etc.), the site of exam (e.g., "head," "chest," "abdomen," etc.), the chinese name of exam item, the english name of exam item, the sex, age, hospital application area, department of application, doctor of application, etc.
(4) Scheduling logic: and according to the parameters of the input end, in the image service data source, after judging according to specific conditions, the output end dispatches a specific image AI system or a PACS image browsing system. The specific conditions are exemplified as follows: (1) The patient visit type is "physical examination", the image examination type is "CT", and the examination part is all images of the chest. (2) Personal user habits, the use frequency of each image AI system, the maturity evaluation index of each image AI system, and the like.
In some preferred approaches, the scheduling logic may be configured at the server side.
The technical features of the above-described embodiments may be arbitrarily combined, and for brevity of description, all possible combinations of the above-described embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, they should be regarded as the scope of the present description.
The above examples merely represent a few embodiments of the present invention, which are described in more detail and are not to be construed as limiting the scope of protection. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention.
Claims (7)
1. The radiology department application system is characterized by comprising a RIS system and/or an 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/or 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 opens 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 policy library is configured to provide policies, the analyzing module is configured to analyze the parameters transmitted by the RIS system and/or the HIS system, determine which policy in the policy library is selected, and the scheduling module is configured to execute the system designated in the calling policies.
2. The radiology department application system of claim 1, wherein the UI interface of the scheduling brain, RIS system, HIS system, PACS system, AI system is a C/S architecture or a B/S architecture.
3. A radiology department application system as defined in claim 1 wherein the RIS system is referred to as a RIS diagnostic reporting system, the PACS system is referred to as a PACS image viewing system, and the AI system is referred to as an AI image viewing system.
4. A radiology application system as defined in claim 3 wherein the content set in advance at the scheduling brain comprises inputs: the RIS diagnostic reporting system transmits parameters to the AI image browsing system, to the scheduling brain, and its definition, including, but not limited to, the following: DICOM check study instance UID, access No, patientID, device ID, USER ID, hospital ID.
5. A radiology application system as defined in claim 3 wherein the content set in advance at the scheduling brain comprises output: for each AI image browsing system, a format for scheduling the brain to transmit parameters to each AI image browsing system and definition thereof are respectively configured, and parameters include, but are not limited to, the following: DICOM check study instance UID, access No, patient ID, device ID, USER ID, hospital ID.
6. A radiology application system as defined in claim 3 wherein the content set in advance in the scheduling brain comprises: the image service data source comprises the data items related to the input end and the output end, and also comprises the following data items and related ID codes thereof, but is not limited to: patient visit type, image examination type, examination part, examination item Chinese name, examination item English name, patient gender, age, application department, application doctor.
7. A radiology application system as defined in claim 3 wherein the content set in advance in the scheduling brain comprises scheduling logic to: and according to the parameters of the input end, in the image service data source, after judging according to specific conditions, the output end dispatches a specific image AI system or a PACS image browsing system.
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