CN112349401A - Clinician management system - Google Patents
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- CN112349401A CN112349401A CN202011289730.XA CN202011289730A CN112349401A CN 112349401 A CN112349401 A CN 112349401A CN 202011289730 A CN202011289730 A CN 202011289730A CN 112349401 A CN112349401 A CN 112349401A
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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
- G16H40/20—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 management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
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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
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
Abstract
The application discloses clinician management system includes: the data integration module is used for collecting and integrating clinical information in the hospital business system and generating standardized and structured clinical data; the image processing module is used for analyzing, processing and calculating the image data in the clinical data generated by the data integration module; and the application service module is used for providing application services according to the clinical data generated by the data integration module and the analysis and processing calculation results of the image processing module. By the method, the heterogeneous data of the existing hospital business system is standardized and structurally integrated, so that standardized, diversified and convenient application services are provided through a unified application service platform.
Description
Technical Field
The present application relates to medical information management systems, and more particularly, to a clinician management system.
Background
The medical information management system in the prior art often relates to various hospital service systems and diagnosis and treatment information, the diagnosis and treatment information relates to complex medical service standards and data sources of various channels, different service systems need different application services and operation terminals, each computer is often required to be provided with a client of all the service information systems in clinical application, a doctor needs to log in each service system one by one to check all diagnosis and treatment data of a patient, when medical record discussion or doctor-patient communication is needed, only all personnel can concentrate on the same computer for discussion, and the interactivity is poor.
Therefore, it is necessary to provide a system capable of integrating data of all hospital business systems and performing clinical information management and display through a unified service platform and diverse and convenient terminal devices.
Disclosure of Invention
The embodiment of the application provides a clinician management system, which is used for solving the technical problems of non-uniform data structure and complex information interaction of the traditional hospital business system.
A clinician management system provided herein includes:
the data integration module is used for collecting and integrating clinical information in the hospital business system and generating standardized and structured clinical data;
the image processing module is used for analyzing, processing and calculating the image data in the clinical data generated by the data integration module;
and the application service module is used for providing application services according to the clinical data generated by the data integration module and the analysis and processing calculation results of the image processing module.
Further, in a preferred embodiment provided herein, the data integration module includes:
the data acquisition unit is used for acquiring clinical information data through a hospital service system;
and the integration processing unit is used for carrying out standardized conversion and structured integration on the acquired clinical information data.
Further, in a preferred embodiment provided herein, the data acquisition unit includes:
the strategy setting unit is used for setting a data acquisition strategy according to the requirement of a user;
the interface management unit is used for managing and calling the data interface according to the data acquisition strategy;
the data acquisition strategy comprises at least one of source, content, time, period, range, file format and data interface of data acquisition.
Further, in a preferred embodiment provided in the present application, the interface management unit includes:
the interface registration unit is used for defining and registering a communication mode and a data interface for data acquisition according to a data acquisition strategy;
the flow control unit is used for carrying out flow control on data acquisition information, and supports graphical display and dragging type setting;
the exchange interface unit is used for acquiring clinical information data in the service system;
wherein the exchange interface unit includes:
the external system interface is used for acquiring clinical information data in the business system;
an external service interface for providing an interface service to the outside;
the exchange interface unit supports hot plug of the service system.
Further, in a preferred embodiment provided herein, the integrated processing unit comprises:
the data preprocessing unit is used for cleaning and carrying out standardized conversion on the acquired data;
the data integration unit is used for performing structured integration on the data subjected to cleaning and standardized conversion;
and the data storage unit is used for storing the data subjected to the structured integration.
Further, in a preferred embodiment provided herein, the data preprocessing unit includes:
the data cleaning unit is used for cleaning the acquired data according to a preset rule, and the cleaning method comprises at least one of missing value processing, abnormal value processing, duplicate removal processing and noise processing;
and the data standardization unit is used for carrying out standardization conversion on the cleaned data, and the standardization conversion comprises at least one of content standardization, format standardization and type standardization.
Further, in a preferred embodiment provided herein, the structured integration comprises: and performing data integration by taking the patient as an index, and/or performing data integration by taking the diagnosis and treatment event as an index.
Further, in a preferred embodiment provided in the present application, the data storage unit specifically includes:
the patient main index database is used for storing basic data of patients and diagnosis and treatment event information;
the diagnosis and treatment information database is used for storing clinical data information generated in the diagnosis and treatment process;
the image file storage pool is used for storing image files generated in the diagnosis and treatment process;
and the diagnosis and treatment information database, the image file database and the patient main index database are associated through patient main index information.
Further, in a preferred embodiment provided herein, the image processing module includes:
the image cloud computing cluster management unit is used for performing user access management and computing resource allocation adjustment;
and the image cloud computing unit is used for receiving the operation instruction of the user terminal, performing image processing computation according to the operation instruction and feeding back a computation result to the user terminal.
Further, in a preferred embodiment provided in the present application, the application service module includes:
the user management unit is used for creating a user account and establishing a corresponding relation between the user account and application service operation and clinical data calling authority;
and the application service unit is used for providing application services for the user, and the application services include but are not limited to patient inquiry, data retrieval, image inquiry and interactive consultation.
The embodiment provided by the application has at least the following beneficial effects:
through the clinician management system, the standardization and the structural integration are carried out on heterogeneous data of the existing hospital business system, so that the standardized, diversified and convenient application service is provided through a unified application service platform.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a schematic diagram illustrating the structure and flow of a clinician administration system according to an embodiment of the present disclosure;
FIG. 2 is a schematic structural diagram of a data integration module of a clinician management system according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of a data acquisition unit of a clinician management system according to an embodiment of the present disclosure;
FIG. 4 is a schematic structural diagram of an interface management unit of a clinician management system according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of an integrated processing unit of a clinician management system according to an embodiment of the present application;
FIG. 6 is a schematic structural diagram of a data preprocessing unit of a clinician management system according to an embodiment of the present application;
FIG. 7 is a schematic structural diagram of a data storage unit of a clinician management system according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an image processing module of a clinician management system according to an embodiment of the present disclosure;
fig. 9 is a schematic structural diagram of an application service module of a clinician management system according to an embodiment of the present application.
The system comprises a data integration module 11, a data integration module 12, an image processing module 13 and an application service module; 21. a data acquisition unit 22 and an integration processing unit; 31. a strategy setting unit 32 and an interface management unit; 41. interface register unit 42, flow control unit 43, exchange interface unit; 51. a data preprocessing unit 52, a data integration unit 53 and a data storage unit; 61. a data cleaning unit 62 and a data standardization unit; 71. a patient main index database 72, a diagnosis and treatment information database 73 and an image file storage pool; 81. an image cloud computing cluster management unit 82 and an image cloud computing unit; 91. a user management unit 92 and an application service unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, the present application discloses a clinician management system comprising:
the data integration module 11 is used for collecting and integrating clinical information in the hospital business system and generating standardized and structured clinical data;
the image processing module 12 is used for analyzing, processing and calculating image data in the clinical data generated by the data integration module;
and the application service module 13 is used for providing application services according to the clinical data generated by the data integration module and the result of analysis and processing calculation by the image processing module.
In the existing hospital business system, various business data and business data management modes of various manufacturers are often involved, a patient often undergoes multiple diagnoses and examinations among different hospitals or different departments of the same hospital in the process of seeing a doctor, a large amount of heterogeneous medical information is generated, the information is different in standard, specification and type, and standardized and structured clinical data can be formed only through effective integration. According to the method and the system, through the data integration module 11 and a customized data acquisition mode, the clinical information data in the existing hospital business system are actively acquired and acquired, the content, format and type of the acquired clinical information data are subjected to standardized conversion through standardized processing, and all data are correspondingly stored to the corresponding data space in a structured mode according to the flow and structure of diagnosis and treatment activities.
In all clinical information data, the data sources are complex, the data formats are various, the specifications and the standards are different, the occupied storage space is large, and the image data is the key of clinical information processing. In the application, the image processing module 12 adopts a cloud computing image processing virtualization interaction mode by constructing a medical image cloud computing center, and all processes of image data computing processing are carried out at the cloud end, so that transmission of massive image data in a network is avoided, and network load and data storage space are reduced.
Through customized data acquisition, all diagnosis and treatment data of a patient in the hospital process are integrated and gathered, and the image data are processed through the image cloud computing center, so that unified data and computing support can be provided for application services. According to the application service module 13, the integrated application service platform is designed, various application services are intensively operated and configured through the background service system, the user can log in the front end only through one operation terminal, various data can be conveniently and rapidly browsed and processed, and information interaction is achieved.
Further, in a preferred embodiment provided herein, the data integration module 11 includes:
the data acquisition unit 21 is used for acquiring clinical information data through a hospital service system;
and the integration processing unit 22 is used for carrying out standardized conversion and structured integration on the acquired clinical information data.
Referring to fig. 2, because various types of clinical information data in the existing hospital service system come from different manufacturers and application systems, the problems of data redundancy, data error and leakage, inconsistent data formats, numerous data contents and the like generally exist in data input by different systems and different data sources, really effective data information must be acquired according to the needs of centralized management of clinical information, and standardized conversion and structured integration are performed on a large amount of heterogeneous data, so that really effective data information can be acquired. According to the method and the device, the data acquisition unit 21 can be used for acquiring required data from the existing hospital business system in a customized manner, and the acquired data is subjected to standardized conversion through the integration processing unit 22, so that data with uniform type, content and format is formed and stored.
The key of data acquisition is to acquire personal clinical diagnosis and treatment data and medical image data which are as complete as possible. The data acquisition unit 21 of the present application can automatically extract the patient visit record from the hospital service system according to the acquisition strategy, and simultaneously, the DICOM image data, specifically including CT, MR, CR, DR, DSA, ECT, PET/CT, digital breast, digital gastrointestinal, ultrasound, etc., can be acquired and dynamically transmitted in compliance with the DICOM standard. Meanwhile, the image data of the non-DICOM image can be acquired.
Further, in a preferred embodiment provided herein, the data acquisition unit 21 includes:
the strategy setting unit 31 is used for setting a data acquisition strategy according to the user requirement;
the interface management unit 32 is used for managing and calling the data interface according to the data acquisition strategy;
the data acquisition strategy comprises at least one of source, content, time, period, range, file format and data interface of data acquisition.
Data collection includes the collection of current data and historical data. Referring to fig. 3, the policy setting unit 31 of the present application may set a collection policy for each type of data according to user needs and characteristics, including a source, content, time, period, range, file format, data interface, and the like of collection. The method comprises the steps of setting specifications of heterogeneous data resources, structures and types of various service data and sources of corresponding service data according to requirements of various service data of hospitals and service data management modes of various manufacturers of various information systems of the existing hospitals. For example, the data sources may be classified into patient profile data sets, patient medical record data sets, device-defined medical image data sets, clinical laboratory minimal data sets defined by clinical application classification, other application data sets, etc. as required for data integration. The number of layers, pages, refresh time, refresh period, etc. of data acquisition can be set. Various manners of data acquisition support may be set, including files, data exchange interfaces, and the like. Data acquisition time can be set.
The interface management unit 32 of the present application is designed based on HL7 hospital data exchange standard, and provides a standardized, open, non-professional-technician-controllable medical information integration service flow control and interface management imaging management tool capable of supporting system hot plug.
Further, in a preferred embodiment provided in the present application, the interface management unit 32 includes:
an interface registration unit 41, configured to define and register a communication mode and a data interface for data acquisition according to a data acquisition policy;
the flow control unit 42 is used for carrying out flow control on data acquisition information, and supports graphical display and dragging type setting;
an exchange interface unit 43, configured to obtain clinical information data in a business system;
wherein, the exchange interface unit 43 includes:
the external system interface is used for acquiring clinical information data in the business system;
an external service interface for providing an interface service to the outside;
the switching interface unit 43 supports hot plug of the service system.
Referring to fig. 4, because different service systems have different communication modes, each communication mode may include a plurality of specific interfaces, and the present application performs registration management on the interfaces through an interface registration unit 41. The process control unit 42 controls the data acquisition information process according to different data acquisition strategies and different work processes of each business system, the process control unit 42 can define a whole set of process editing, compiling, testing, publishing and canceling tools, and supports graphical display and drag-type setting, so that the operators can conveniently issue the process. The exchange interface unit 43 of the present application is mainly divided into two types, one type is an external system interface, and the other system is mainly provided with a service interface of a clinician management system for acquiring clinical information data in a service system; one is an external service interface for providing interface service to the outside, and the external service interface is classified into two types, one is a service interface waiting for calling, and the other is a service interface actively polling.
Further, in a preferred embodiment provided herein, the integrated processing unit 22 comprises:
a data preprocessing unit 51 for performing cleaning and standardized conversion on the acquired data;
a data integration unit 52, configured to perform structured integration on the cleaned and standardized data;
and the data storage unit 53 is used for storing the data subjected to the structured integration.
Referring to fig. 5, since the acquired data are different in source and quality, the acquired data are cleaned according to a certain preset rule by the data preprocessing unit 51, so that redundant, inconsistent and inaccurate data are eliminated, the data quality is improved, and the acquired data can meet the application requirements. For the data after cleaning, the data integration unit 52 performs standardization conversion, unifies the format, content and type of the data, integrates according to the application requirement, and stores the integrated data into the data storage unit 53 according to the data index.
Further, in a preferred embodiment provided herein, the data preprocessing unit 51 includes:
the data cleaning unit 61 is used for cleaning the acquired data according to a preset rule, and the cleaning method comprises at least one of missing value processing, abnormal value processing, duplicate removal processing and noise processing;
and a data normalization unit 62 for performing normalization conversion on the cleaned data, wherein the normalization conversion includes at least one of content normalization, format normalization and type normalization.
Referring to fig. 6, the data cleansing unit 61 is the basis of the data integration module, and the quality of data cleansing directly affects the effect of the data integration process. The method for cleaning the data mainly comprises missing value processing, abnormal value processing, duplicate removal processing, noise processing and the like. In the application, due to artificial careless loss or system errors, individual data are difficult to avoid missing, and for the missing data, if the importance is low, the missing data can be directly removed; the information can also be filled according to other associated information, for example, the age of the patient can be filled by the association of the patient identification number. Important data loss can be subjected to re-dereferencing through a related system, the re-dereferencing still cannot be acquired, and then related personnel can be informed through prompt information, so that the data loss is caused. The abnormal value is usually derived from errors in the data entry or acquisition process, and the obvious abnormal value can be directly deleted or directly treated as a missing value. For the repeated values, a sorting and combining method is generally adopted for processing. And comparing adjacent record items to judge whether the data are repeated, and for repeated data, adopting the data obtained by the last detection according to the requirement or carrying out average calculation according to multiple measurement results. Noise is the random error or variance in the measured data. Through a directional screening mechanism, irrelevant information can be effectively eliminated, and noise is reduced.
The content, format, type, structure, and the like of the data after the cleansing are standardized by the data standardizing unit 62.
Further, in a preferred embodiment provided herein, the structured integration comprises: and performing data integration by taking the patient as an index, and/or performing data integration by taking the diagnosis and treatment event as an index.
The patient main index is the core of clinical information data integration, and all acquired patient data can be effectively associated by depending on the patient index of a clinician management system, so that the formation of a patient information island is avoided. The storage space model of the patient index comprises a main index information space model of a single patient and a main index space model in a hospital. And cross index association is established between the main index information and other data, and the establishment and the separation of the main index association can be manually set. The algorithm of the main index establishment is separated from the database design.
The diagnosis and treatment events are clues of diagnosis and treatment activities, the diagnosis and treatment events are taken as clues, data generated in specific diagnosis and treatment events are integrated, the whole process of the diagnosis and treatment activities can be clearly displayed, the diagnosis and treatment processes and the progress of illness and treatment can be particularly displayed, and all important medical information data can be strictly and clearly integrated through the combination of the diagnosis and treatment event indexes and/or the main indexes.
Further, in a preferred embodiment provided in the present application, the data storage unit 53 specifically includes:
a patient main index database 71 for storing basic data of patients and diagnosis and treatment event information;
a diagnosis and treatment information database 72 for storing clinical data information generated in the diagnosis and treatment process;
an image file storage pool 73 for storing image files generated during diagnosis and treatment;
and the diagnosis and treatment information database, the image file database and the patient main index database are associated through patient main index information.
The idea of separating the algorithm from the database is adopted, and after the data preprocessing unit and the data integration unit complete data integration, the data are stored by a special data center and data support is provided for subsequent application services. Referring to fig. 7, data is classified and stored according to a patient main index database 71 and a clinical information database 72 according to a clue of data integration, and is separately stored through an image file storage pool 73 in consideration of a large amount of image file data and a relatively single data type, which relate to subsequent image calculation. The medical information database 72, the image file storage pool 73 and the patient main index database 71 are associated with each other by patient main index information, and data can be retrieved according to a certain patient ID and UID of one or several examinations.
Further, in a preferred embodiment provided in the present application, the image processing module 12 includes:
the image cloud computing cluster management unit 81 is used for performing user access management and computing resource allocation adjustment;
and the image cloud computing unit 82 is used for receiving the operation instruction of the user terminal, performing image processing computation according to the operation instruction, and feeding back a computation result to the user terminal.
Referring to fig. 8, in the present application, an image cloud computing cluster management unit 81 is used, an image data center architecture with cloud computing as a core is adopted, a cluster management technology is applied, user-oriented connection and access can be realized, and in an allocation process, strategies such as pressure allocation, dynamic resource adjustment, task migration and the like are used to improve the working efficiency of a central computing layer, so that high redundancy, high security and high elasticity are ensured. By the image cloud computing unit 82, frequent transmission of image data in and out of a regional network is avoided, original data are loaded to each image cloud computing unit, image processing and computing are performed by the image cloud computing unit through an operation instruction input by a terminal, and a computing result is fed back to the terminal for browsing.
In the image cloud computing unit 82, the required original image data is directly and quickly acquired from the data center through the image data storage address acquired by the patient main index, the image data is acquired according to a certain patient ID and the UID of one or more examinations, and the image data is shared through the patient main index and the image UID in the regional mobile Internet. The original image data are not transmitted between the data center and each application terminal, the image calculation processing is performed at the cloud end, and the calculation result is displayed at the doctor user end. The application inside and outside the real-time image area is realized under the network bandwidth environment comprising 3G/4G, WiFi. The core of the image cloud computing is that data are rapidly acquired in a data center, real-time computing and analysis are carried out in an image high-performance computing cluster, images which need to be seen by a user are displayed on a terminal through a network, and the requirements of image interaction operation and image display service such as personalized concurrent browsing and processing of the user are met.
Further, in a preferred embodiment provided in the present application, the application service module 13 includes:
the user management unit 91 is configured to create a user account, and establish a corresponding relationship between the user account and application service operation and clinical data invocation permission;
and an application service unit 92, configured to provide application services for the user, where the application services include, but are not limited to, patient query, data retrieval, image query, and interactive consultation.
Referring to fig. 9, the user management unit 91 forms a personal registry, and identification numbers and basic information of individuals are securely stored and maintained, and provide a personal identification function for consultation services. The users can be grouped according to departments and ward areas; distributing authority according to the user; and the application terminal logs in according to the authorized user. Different users have different data and application service invocation rights. The user management unit can freely pack and assemble the application service package to be distributed to different users.
The real-time connection with the application service unit 92 is maintained through a hospital network and the internet, so that medical staff can retrieve medical record data, disease condition abstracts, biochemical examination results, medical advice data and examination reports of patients, browse medical images, process on line in real time and the like through interactive large screens, mobile tablets, smart phones and other equipment at any time and any place. The mobile medical application brings patient information from a doctor office to a patient bedside and an outdoor area where a mobile network can be linked, and is mainly applied to scenes such as doctor mobile ward round, doctor personal mobile application and the like.
A computer described herein may include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A clinician management system, comprising:
the data integration module is used for collecting and integrating clinical information in the hospital business system and generating standardized and structured clinical data;
the image processing module is used for analyzing, processing and calculating the image data in the clinical data generated by the data integration module;
and the application service module is used for providing application services according to the clinical data generated by the data integration module and the analysis and processing calculation results of the image processing module.
2. The clinician management system of claim 1, wherein the data integration module comprises:
the data acquisition unit is used for acquiring clinical information data through a hospital service system;
and the integration processing unit is used for carrying out standardized conversion and structured integration on the acquired clinical information data.
3. The clinician management system of claim 2, wherein the data acquisition unit comprises:
the strategy setting unit is used for setting a data acquisition strategy according to the requirement of a user;
the interface management unit is used for managing and calling the data interface according to the data acquisition strategy;
the data acquisition strategy comprises at least one of source, content, time, period, range, file format and data interface of data acquisition.
4. The clinician management system of claim 3, wherein the interface management unit comprises:
the interface registration unit is used for defining and registering a communication mode and a data interface for data acquisition according to a data acquisition strategy;
the flow control unit is used for carrying out flow control on data acquisition information, and supports graphical display and dragging type setting;
the exchange interface unit is used for acquiring clinical information data in the service system;
wherein the exchange interface unit includes:
the external system interface is used for acquiring clinical information data in the business system;
an external service interface for providing an interface service to the outside;
the exchange interface unit supports hot plug of the service system.
5. The clinician management system of claim 2, wherein the integrated processing unit comprises:
the data preprocessing unit is used for cleaning and carrying out standardized conversion on the acquired data;
the data integration unit is used for performing structured integration on the data subjected to cleaning and standardized conversion;
and the data storage unit is used for storing the data subjected to the structured integration.
6. The clinician management system of claim 5, wherein the data preprocessing unit comprises:
the data cleaning unit is used for cleaning the acquired data according to a preset rule, and the cleaning method comprises at least one of missing value processing, abnormal value processing, duplicate removal processing and noise processing;
and the data standardization unit is used for carrying out standardization conversion on the cleaned data, and the standardization conversion comprises at least one of content standardization, format standardization and type standardization.
7. The clinician management system of claim 5, wherein the structured integration comprises: and performing data integration by taking the patient as an index, and/or performing data integration by taking the diagnosis and treatment event as an index.
8. The clinician management system of claim 5, wherein the data storage unit specifically comprises:
the patient main index database is used for storing basic data of patients and diagnosis and treatment event information;
the diagnosis and treatment information database is used for storing clinical data information generated in the diagnosis and treatment process;
the image file storage pool is used for storing image files generated in the diagnosis and treatment process;
and the diagnosis and treatment information database, the image file database and the patient main index database are associated through patient main index information.
9. The clinician management system of claim 1 wherein the image processing module comprises:
the image cloud computing cluster management unit is used for performing user access management and computing resource allocation adjustment;
and the image cloud computing unit is used for receiving the operation instruction of the user terminal, performing image processing computation according to the operation instruction and feeding back a computation result to the user terminal.
10. The clinician management system of claim 1, wherein the application service module comprises:
the user management unit is used for creating a user account and establishing a corresponding relation between the user account and application service operation and clinical data calling authority;
and the application service unit is used for providing application services for the user, and the application services include but are not limited to patient inquiry, data retrieval, image inquiry and interactive consultation.
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