CN112653703A - Multi-medical-protocol conversion analysis method and system based on edge calculation - Google Patents
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Abstract
The invention discloses a multi-medical protocol conversion and analysis method and system based on edge calculation. The system comprises a medical health cloud data center, edge medical instrument data conversion processing equipment and medical instrument equipment, wherein the medical instrument equipment is used for generating medical data and transmitting the medical data to the edge medical instrument data conversion processing equipment; the edge medical instrument data conversion processing equipment configures a port, a protocol, an equipment name and an analytic protocol of the medical instrument equipment through a configuration file, and acquires configuration information, monitoring port information and analytic data protocol information of the medical instrument equipment according to a customized interface; the medical health cloud data center platform is used for receiving data sent by the edge medical instrument data conversion processing equipment and analyzing the data by combining artificial intelligence. The invention combines the cloud platform and the edge computing technology, can ensure real-time analysis and processing of data streams, and is compatible with medical data in various protocol formats.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a multi-medical-protocol conversion and analysis method and system based on edge calculation.
Background
The public hospitals are guided by the application of clinical research centers according to the development conditions of the public hospitals, and the informatization construction is vigorously developed. In the process of diagnosis and treatment, big data analysis ideas, methods and technologies are rapidly popularized and developed in construction, and medical informatization keeps high-speed construction at a growth rate of 20% per year. However, the current medical informatization system in China still faces a plurality of problems, for example, the current medical informatization system is a chimney-type system which is high in investment, low in efficiency and difficult to manage; different manufacturers and different instruments and equipment have different transmission protocols and interfaces; the hospital server and the database are expanded, the cost of the server, the machine room, the medical information interface and the like is greatly increased, a plurality of services are operated on different servers, and the resource utilization efficiency of the medical information system is low due to the shaft type deployment, so that the resource waste is caused; different protocols of various medical instruments add great complexity to the butt joint of medical information and the instruments and bring inconvenience to operation and maintenance management.
From the construction mode of the information system of the medical institution, the equipment data docking at the present stage is mainly to directly acquire the instrument with the system development software interface through a single instrument and equipment, and because manufacturers of inspection instruments are not uniform, the test result presentation report forms are various, so that clinical cases cannot reach the specification and uniformity, and a plurality of troubles are brought to hospitals. Therefore, the design and development of LIS (laboratory information management system) and PACS (medical image archiving and communication system) are required for the development of the information process of hospitals.
In the LIS system data interaction, HL7 and ASTM are internationally standard transport protocols, whereas in the Picture Archiving and Communication (PACS) system DICOM (medical image communication standard) is a standard protocol. By adopting a standard protocol, a clear version and a decoding mode, two communication parties can realize data transmission with different equipment without modifying a communication format. Thus, the diversity of communication interfaces can be achieved using standard protocol designs in the design of the LIS system.
The multi-protocol transmission conversion based on edge calculation changes the situation that one original interface corresponds to one detection device, the multi-protocol conversion analysis device and the multi-protocol conversion analysis system converted into the edge calculation simultaneously support a plurality of detection devices, and meanwhile, information interaction is realized between a hospital information system and the devices through a standard protocol, so that the multi-protocol transmission conversion based on edge calculation has higher universality. The load brought by big data is relieved to a certain extent by the appearance of edge calculation, the edge calculation plays a role of great weight, and the edge calculation is favored by customers in various industries such as retail, security monitoring, transportation, medical manufacturing and the like which pay attention to big data application.
However, a technical solution for implementing multi-medical protocol conversion and resolution by using edge calculation is lacked in the prior art.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a multi-medical protocol conversion and analysis method and a multi-medical protocol conversion and analysis system based on edge computing.
According to a first aspect of the present invention, there is provided a multi-medical protocol conversion parsing system based on edge calculation. The system comprises: the system comprises a medical health cloud data center, edge medical instrument data conversion processing equipment and medical instrument equipment, wherein the medical instrument equipment is used for generating medical data and transmitting the medical data to the edge medical instrument data conversion processing equipment; the edge medical instrument data conversion processing equipment configures a port, a protocol, an equipment name and an analytic protocol of the medical instrument equipment through a configuration file, and acquires configuration information, monitoring port information and analytic data protocol information of the medical instrument equipment according to a customized interface; the medical health cloud data center platform is used for receiving data sent by the edge medical instrument data conversion processing equipment and analyzing the data by combining artificial intelligence.
According to a second aspect of the present invention, a multi-medical protocol conversion parsing method based on edge calculation is provided. The method comprises the following steps:
acquiring medical data;
for the medical data, searching a corresponding analysis rule according to the configuration protocol information, and analyzing the medical data into a universal data format by utilizing an edge calculation mode according to the analysis rule;
and storing or uploading the analyzed data to a medical health cloud data center by using a message queue.
Compared with the prior art, the invention has the advantages that the problems of complex instrument docking process, incapability of reusing functions and the like caused by excessive protocols of the current medical institution inspection and examination instruments are solved through the edge computing equipment. In addition, by combining with a health medical cloud platform to carry out edge computing, data can be processed more timely and more quickly at the near end, network transmission pressure and data response delay of the cloud end are effectively avoided, and services such as data sharing, artificial intelligence computing and cloud storage are provided at the far end according to the requirement of the material lifting business.
Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a health cloud data center role architecture diagram according to one embodiment of the present invention;
FIG. 2 is an architecture diagram of a health cloud data center, according to one embodiment of the present invention;
FIG. 3 is a business flow diagram according to one embodiment of the invention;
FIG. 4 is a business flow diagram according to one embodiment of the invention;
FIG. 5 is an edge resolution system architecture diagram according to one embodiment of the invention;
FIG. 6 is an overall architecture diagram of a multi-medical protocol conversion resolution system based on edge computation according to one embodiment of the present invention;
FIG. 7 is a test result display diagram according to one embodiment of the present invention;
FIG. 8 is an instrument information maintenance display diagram according to one embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
The invention discloses a multi-medical protocol conversion and analysis system based on edge calculation, which aims at the field of medical services and takes intelligent medical treatment as guidance, and comprises the following components: the system comprises at least one medical health cloud data center, at least one medical institution service station, at least one medical data processing device, at least one medical system application terminal and at least one medical instrument device, wherein the medical instrument device generates medical data, the medical data are transmitted to the medical data processing device (or edge computing device or edge node) through a local area network, functions of quick response, data analysis, protocol data decoupling and the like are performed, and processing related to the received data can be divided into responsibilities. The invention solves the problems of numerous and disordered protocols of medical instruments and equipment and overhigh functional coupling after medical data analysis, and provides a set of simple and effective solution for medical institutions.
The main idea of the invention is to carry out edge calculation and modular decoupling by data docking of medical instruments of multi-protocol medical institutions and information systems, and each far-end edge node independently integrates a configurable medical instrument data docking analysis system and interacts with a medical health system in combination with business requirements.
In short, the technical scheme of the invention mainly comprises the following steps:
1) medical health cloud data center: the method comprises the steps of building functions of a health cloud service, an information system and a checking system, and providing a series of standardized cloud services such as cloud storage, data sharing AI (artificial intelligence) calculation, data visualization, medical business management and the like.
2) The edge medical instrument data conversion processing equipment comprises: the 'doctor HUB' proposed by the research is a basic-level medical institution business all-in-one machine supporting edge calculation, which is used as an edge node, and analyzes different instrument data for inspection or examination by configuring medical instrument configuration.
3) Cloud interconnection: through the combination of edge computing and a cloud platform, according to the analysis content, the configuration file of the consumption information indicates which part of data needs to be uploaded to the cloud, and the consumption of the data is carried out in combination with actual business.
In order to make the object and technical solution of the present invention more clear, the present invention is further described in detail below with reference to the accompanying drawings.
Medical health cloud data center
The basic characteristics of medical big data are complex dispersion and low value density, so that the medical data about structured integration clinical, omics, regions and the like are the core problems in intelligent medical treatment and are the key directions for future development of the medical industry. Therefore, the medical health cloud data center provided by the invention utilizes a method of combining big data with artificial intelligence to extract new value of medical data, supports real-time collection of basic data of patients, medical institutions and practitioners, medical product manufacturers and governments in a designated area, utilizes related technologies such as stream type calculation, deep learning and the like to establish a full ecological cycle of data acquisition, cleaning, management, analysis, application and service, quickly discovers business value in mass data, provides data service to meet business requirements of dynamic change, enables data to drive and discover new value of data through artificial intelligence, constructs new ecology of medical scene data, and realizes deep mining and value conversion of medical data assets.
See figure 1 for a role architecture of a health cloud data center. In this embodiment, the data center platform is primarily oriented to four user roles, including government agencies (e.g., health and wellness committee), the public of society, medical institutions (e.g., hospitals), and application enterprises (e.g., third party agencies, pharmaceutical factories, and insurance companies, etc.). By determining medical targets and key roles, and using a proper data mining algorithm to complete effective analysis and display of data, the platform can provide multiple functions such as intelligent decision support, personal health index analysis, real-time disease early warning, medical equipment management and the like, and effectively meets different requirements of different roles.
Fig. 2 is a system architecture of a medical health cloud data center, and a medical health cloud data center platform of the embodiment adopts a four-layer architecture, including a data layer, an analysis layer, a data aggregation layer (or interaction layer), and an application layer.
The data layer acquires, cleans, converts and loads the regional information clinical, medical and other data into a distributed file storage system (such as HDFS) or a database (such as Hbase) in a classified manner.
The analysis layer realizes real-time and accurate analysis and application of data through a streaming computing system (such as Spark computing framework and Flink streaming computing framework), a data mining algorithm and the like, provides a distributed computing framework and a logic processing function, and provides guarantee for high-performance computing efficiency of platform parallelization.
The interaction layer is mainly the interaction between the system and the user operation logic. And according to different operations performed by the application layer user, different data calculation is performed and returned for data visualization.
The application layer is an operation interface of the application system, and performs visualization processing (such as Echarts, Tableau and the like) on the result data returned by the interaction layer, and the diversified graphical report forms show valuable data information for the user.
In this embodiment, data real-time analysis is implemented using Spark Streaming and Kafka message publish subscribe, using the distributed service framework zookeeper. For example, the platform analysis layer uses a Spark calculation framework, medical service data streams are firstly stored in a Kafka cluster, consumption Kafka data is extracted through Spark core SQL MLlib or Spark Steaming through a Pub/Sub mode, processed data results are written into a storage layer HDFS or Hbase, and the processed data results are written back to the Kafka cluster or stored into a Redis cluster.
Second, about the edge medical instrument data conversion processing equipment
The edge medical instrument data conversion processing equipment or called 'doctor HUB' provided by the invention is a basic medical institution business all-in-one machine supporting edge computing, can provide professional standardized information system cloud service, meets the requirements of medical institution information management and flow specification, and enjoys the integrated management of outpatient service, finance and customers which can be used immediately after being opened. For example, the system is oriented to the construction and management of information systems of basic medical institutions, supports common medical informatization systems such as HIS (hospital information system), EMR (electronic medical record), LIS and the like, and serves as an edge node to provide quick, safe and effective data support for the cloud. The invention is based on medical HUB equipment, and solves the problems of complicated equipment protocols and non-uniform standards when the inspection instrument is accessed into information systems such as LIS and the like. In the invention, the data conversion processing equipment of the edge medical instrument is used as an edge computing node to realize the following functions:
1) medical instrument system managed by configuration
The edge computing device configures a port, a protocol, a device name and an analysis protocol of the device through the configuration file, and simultaneously supports functions of conventional data management, data analysis, query, project update, data analysis and the like.
2) Highly concurrent data processing
The streaming data processing of the edge computing greatly increases the concurrent processing capacity of the system, and the architecture based on the edge computing can reduce the pressure of the cloud platform server and realize the high-concurrency inspection data processing. And medical data generated by instruments can be consumed by an external system through a standard access mode, so that the expansion of services is simplified.
3) Low coupling result processing
And the output result is transmitted to a KAFKA message queue through standardization, and each consumption terminal acquires data from the edge computing equipment according to the consumption requirement of the consumption terminal so as to release the coupling between the systems.
Correspondingly, the invention provides a multi-medical protocol conversion and analysis method based on edge calculation, which comprises the following specific processes:
the method comprises the steps of firstly starting configuration, loading information of data sent by a medical instrument into edge computing equipment, and acquiring information such as instrument configuration information, monitoring port information and data analysis protocol information according to a customized interface.
Fig. 3 is a flowchart of the edge calculation to obtain configuration information, including: starting the analysis of the edge computing instrument; detecting whether to access a cloud platform; under the condition of accessing the cloud platform, updating and loading the instrument configuration, under the condition of not accessing the cloud platform, firstly analyzing the instrument configuration of the cloud platform, and then updating and loading the instrument configuration; the instrumental analysis was started.
In one embodiment, the service architecture based on edge computing is shown in fig. 4, and includes a message receiving/sending module (or called messaging module), a data parsing module and a message storage consumption module.
1) Message sending/receiving module
The method has the advantages that the edge calculation processing mode is adopted, the apache edgegent framework is used for real-time stream data, inspection or checking information data transmitted by the instrument can be rapidly acquired from instrument equipment, and the problem that a large number of instruments are transmitted simultaneously can be efficiently processed.
2) Data analysis module
The data analysis module searches corresponding analysis rules, such as protocol format, version and other information, according to the configuration protocol information, and analyzes the data transmitted by the instrument into a universal data format according to the analysis rules. For example, the data parsing module sequentially performs reading configuration, parsing messages, constructing messages, sending messages to a storage queue, and the like.
3) Message storage consumption module
The message storage and consumption module stores the analyzed instrument data by using a message queue (such as Kafka), and the platform required to be used can consume the message by itself.
The invention combines the designed medical HUB equipment, and from the software perspective, the system core architecture mode is a 3-layer architecture which is divided into a control layer, a model layer and a view layer, and the specific functions are as follows as shown in figure 5:
the view layer is responsible for interactive display of a human-computer interface and mainly comprises equipment connection management (such as connection parameters), real-time monitoring, data management, a serial number setting window and system setting.
The model layer is an abstract functional representation of data operation required by client software, and mainly comprises a communication request, a database request, system configuration and the like. Where the communication request is a collection of all communications involved to the client software. The database request part unifies database operations involved in the edge computing data conversion system into query and add operations of the database.
The control layer controls the aggregation of all operations in the model layer, such as device resource access, database management, protocol construction and parsing, profile access, and the like. In the communication part, the control layer mainly realizes the communication with the medical detection instrument and the LIS/PACS system through equipment resources (network ports and serial ports). Meanwhile, the data packaging and parsing are realized through HL7, an ASTM and DICOM protocol data constructor and a parser. In addition, the database access interface integrates the operations of adding, deleting, modifying, checking and the like of the database, and directly performs corresponding operations on the database and the message queue.
Fig. 6 is an overall architecture diagram of the multi-medical protocol conversion and analysis system based on edge computing, which integrally includes a cloud platform for providing cloud services and an edge computing part, where the cloud platform is illustrated to provide a medical data interface, a management service interface, a business configuration interface and an external service interface, and the medical instruments are, for example, LIS inspection equipment, and a "medical HUB" can interface with a HIS system, a LIS system, an EMR system, a PACS system, and the like.
To further verify the effect of the present invention, experimental analysis was performed. Specifically, an edge computing framework is adopted, and the Apache Edgent + Kafka processes the distributed real-time message. The test environment comprises 5 inspection instruments, 1 edge computing medical protocol analysis device and a cloud platform server, and data generated by simulating the medical instruments are transmitted to edge nodes. The program starts 20 threads every millisecond, 2w data transmission every second, and the service can be normally analyzed and transmitted to the Kafka message queue. And finally, the pressure test result is stable, and the real-time analysis and processing of the data flow can be ensured.
The technical scheme of the multi-medical protocol conversion and analysis based on the edge calculation can comprehensively, accurately and intuitively display the index data of each item of inspection and examination through the management function of the system, and provide effective decision information support, such as the inspection result display diagram of fig. 7 and the instrument information maintenance example of fig. 8.
It should be noted that the medical health cloud data platform computing framework provided by the invention utilizes Spark or Hadoop, and the like, and the programming language can use Scala, Python, Java, and the like; the edge computation framework is not limited to Apache edge, but edge xfoundry, cordi, etc. may be used. The integrated system database of the integrated system of the medical HUB is not limited to MySQL and Oracle, but also uses non-relational databases Hbase, Hive and the like. Through practical verification, the multi-medical protocol conversion and analysis method and system based on the medical HUB provided by the invention are stable in operation, and new equipment of a medical institution is simple and convenient to access.
The present invention may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therewith for causing a processor to implement various aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present invention may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.
Claims (10)
1. An edge-computing-based multi-medical protocol translation parsing system, comprising: medical health cloud data center, marginal medical instrument data conversion processing apparatus and medical instrument equipment, wherein:
the medical instrument equipment is used for generating medical data and transmitting the medical data to the marginal medical instrument data conversion processing equipment;
the edge medical instrument data conversion processing equipment configures a port, a protocol, an equipment name and an analytic protocol of the medical instrument equipment through a configuration file, and acquires configuration information, monitoring port information and analytic data protocol information of the medical instrument equipment according to a customized interface;
the medical health cloud data center platform is used for receiving data sent by the edge medical instrument data conversion processing equipment and analyzing the data by combining artificial intelligence.
2. The system of claim 1, wherein the health cloud data center is oriented to multiple categories of user roles, and analyzes data by determining medical goals and corresponding roles to meet different needs of different roles.
3. The system of claim 2, wherein the plurality of categories of user roles include government agencies, social public, medical agencies, and medical related enterprises.
4. The system of claim 1, wherein the medical health cloud data center comprises a data layer, an analysis layer, an interaction layer and an application layer, wherein the data layer processes and classifies data to be loaded to the distributed file storage system; the analysis layer provides a distributed computing framework and a logic processing function through real-time analysis and application of data; the interaction layer is used for interacting with the user operation logic, executing corresponding data calculation and returning a result aiming at different operations performed by the user; the application layer is used for performing visual processing on result data returned by the interaction layer, and displaying data information for a user by using a diversified graphical report.
5. The system of claim 1, wherein the marginal medical instrument data conversion processing device comprises a messaging module, a data parsing module and a message storage consumption module, wherein the messaging module acquires data from the medical instrument device and performs real-time streaming data processing by adopting a marginal computing mode; the data analysis module searches a corresponding analysis rule according to the configuration protocol information and analyzes the received data into a universal data format according to the analysis rule; and the message storage and consumption module stores the analyzed data by using the message queue so that the consumption terminal can obtain the data according to the self requirement.
6. The system according to claim 1, wherein the marginal medical instrument data conversion processing device comprises a control layer, a model layer and a view layer, and the view layer is used for interactive display of a human-computer interface; the model layer is used for carrying out abstract function representation on data operation required by a client; the control layer is used for communicating with medical instruments and equipment and a medical information system and realizing the packing and analysis of data through a protocol data constructor and an analyzer.
7. The system of claim 6, wherein the medical information system comprises a laboratory information management system, a medical image archiving and communication system, a hospital information system, or an electronic medical record system, and the protocol data constructor and parser is for HL7, ASTM, or DICOM protocol data.
8. A multi-medical protocol conversion analysis method based on edge calculation comprises the following steps:
acquiring medical data;
for the medical data, searching a corresponding analysis rule according to the configuration protocol information, and analyzing the medical data into a universal data format by utilizing an edge calculation mode according to the analysis rule;
and storing or uploading the analyzed data to a medical health cloud data center by using a message queue.
9. The method of claim 8, wherein the data to be uploaded to the health cloud data center is determined from a profile of consumption information based on the parsed content.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 8-9.
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