Movatterモバイル変換


[0]ホーム

URL:


CN116092616A - Medical data transmission method, device, equipment and storage medium - Google Patents

Medical data transmission method, device, equipment and storage medium
Download PDF

Info

Publication number
CN116092616A
CN116092616ACN202211644027.5ACN202211644027ACN116092616ACN 116092616 ACN116092616 ACN 116092616ACN 202211644027 ACN202211644027 ACN 202211644027ACN 116092616 ACN116092616 ACN 116092616A
Authority
CN
China
Prior art keywords
equipment
data
record information
medical record
request
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202211644027.5A
Other languages
Chinese (zh)
Other versions
CN116092616B (en
Inventor
刘三亮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Zhongke Ruiyi Information Technology Co ltd
Original Assignee
Beijing Zhongke Ruiyi Information Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Zhongke Ruiyi Information Technology Co ltdfiledCriticalBeijing Zhongke Ruiyi Information Technology Co ltd
Priority to CN202211644027.5ApriorityCriticalpatent/CN116092616B/en
Publication of CN116092616ApublicationCriticalpatent/CN116092616A/en
Application grantedgrantedCritical
Publication of CN116092616BpublicationCriticalpatent/CN116092616B/en
Activelegal-statusCriticalCurrent
Anticipated expirationlegal-statusCritical

Links

Images

Classifications

Landscapes

Abstract

The application discloses a medical data transmission method, a device, equipment and a storage medium, and relates to the technical field of intelligent medical treatment. The specific embodiment comprises the following steps: acquiring test data in a preset data format from first equipment, wherein the first equipment is used for acquiring the test data of medical tests; screening the test data, sending the screened test data to second equipment, receiving a request for acquiring medical record information fed back by the second equipment, and outputting a diagnosis result by the second equipment; the request is converted into a first preset data standard and then sent to third equipment, medical record information fed back by the third equipment in response to the request is received, and the third equipment is used for storing the medical record information; and converting the medical record information into the preset data format and then transmitting the medical record information to second equipment. In consideration of the complexity of medical data, a large amount of invalid data is prevented from being transmitted in the communication process, and the communication efficiency is improved.

Description

Medical data transmission method, device, equipment and storage medium
Technical Field
The application relates to the technical field of data transmission, in particular to the technical field of intelligent medical treatment, and especially relates to a medical data transmission method, a medical data transmission device, electronic equipment and a storage medium.
Background
The existing medical system performs data interaction by multiple systems or multi-terminal data of a single system, and in the actual information transmission process, the complexity of the medical data is not considered, so that a large amount of invalid data is transmitted in the communication process.
Disclosure of Invention
Aiming at the technical problem of lower data transmission efficiency of the medical data transmission method in the prior art, the medical data transmission method, the device, the electronic equipment and the storage medium are provided.
According to a first aspect, there is provided a medical data transmission method comprising:
acquiring test data in a preset data format from first equipment, wherein the first equipment is used for acquiring the test data of medical tests;
screening the test data, sending the screened test data to second equipment, and receiving a request for acquiring medical record information fed back by the second equipment, wherein the second equipment is used for outputting a diagnosis result;
the request is converted into a first preset data standard and then sent to third equipment, medical record information fed back by the third equipment in response to the request is received, and the third equipment is used for storing the medical record information;
and converting the medical record information into the preset data format and then sending the medical record information to the second equipment.
According to a second aspect, there is provided a medical data transmission device comprising:
the acquisition module is used for acquiring test data in a preset data format from first equipment, wherein the first equipment is used for acquiring the test data of medical tests;
the screening and washing module is used for screening and washing the test data, sending the screened and washed test data to second equipment, receiving a request for acquiring medical record information fed back by the second equipment, and outputting a diagnosis result by the second equipment;
the sending module is used for converting the request into a first preset data standard and then sending the first preset data standard to third equipment, receiving medical record information fed back by the third equipment in response to the request, and the third equipment is used for storing the medical record information;
and the feedback module is used for converting the medical record information into the preset data format and then sending the data format to the second equipment.
According to a third aspect, there is provided an electronic device comprising: one or more processors; and a storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement a method as in any of the embodiments of the medical data transmission method.
According to a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements a method as in any of the embodiments of the medical data transmission method.
According to the scheme of the embodiment of the application, in consideration of the complexity of medical data, data screening is performed before a communication process between systems to form effective data, and the effective data is, for example, data after repeated data are removed or invalid data are deleted. The transmission of effective data is carried out between the systems, so that the investment of extra storage hardware equipment and the unnecessary addition of a calculator are avoided. According to the invention, the initial data detected by the personnel are screened, the problem of data format conversion among different systems is considered, the efficient transmission is carried out in the multiple systems, and finally the feedback medical record information of the third equipment is transmitted to the second equipment for reference by the medical personnel, so that the data transmission efficiency is improved, and more reference data are provided for the medical personnel.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings, in which:
FIG. 1 is an exemplary system architecture diagram in which some embodiments of the present application may be applied;
FIG. 2 is a flow chart of one embodiment of a medical data transmission method according to the present application;
FIG. 3 is a schematic diagram of a request being converted into a first preset data standard and then sent to a third device according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a first embodiment of the present application for determining a medical record information type corresponding to the initial diagnostic result;
FIG. 5 is a diagram of a second embodiment of the present application for determining a medical record information type corresponding to the initial diagnostic result;
FIG. 6 is a schematic structural view of one embodiment of a medical data transmission device according to the present application;
fig. 7 is a block diagram of an electronic device for implementing a medical data transmission method of an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Definition of key terms
International Classification of Diseases (ICD);
HL7 (health level 7), medical information exchange standard;
hospital information system (HIS, hospitalInformationSystem)
A clinical decision support system (CDSS, clinicalDecisionSupportSystem).
Fig. 1 illustrates anexemplary system architecture 100 to which embodiments of the medical data transmission method or medical data transmission device of the present application may be applied.
As shown in fig. 1, asystem architecture 100 may includeterminal devices 101, 102, 103, anetwork 104, and aserver 105. Thenetwork 104 is used as a medium to provide communication links between theterminal devices 101, 102, 103 and theserver 105. Thenetwork 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with theserver 105 via thenetwork 104 using theterminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as video-type applications, live applications, instant messaging tools, mailbox clients, social platform software, etc., may be installed on theterminal devices 101, 102, 103.
Theterminal devices 101, 102, 103 may be hardware or software. When theterminal devices 101, 102, 103 are hardware, they may be electronic devices, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, etc., which receive test data collected by the vision devices and including preset data formats, but not limited to depth sensors, depth cameras, etc.; but also an electronic device integrated with the acquisition device. When theterminal devices 101, 102, 103 are software, they can be installed in the above-listed electronic devices. Which may be implemented as multiple software or software modules (e.g., multiple software or software modules for providing distributed services) or as a single software or software module. The present invention is not particularly limited herein.
Theserver 105 may be a server providing various services, such as a background server providing support for theterminal devices 101, 102, 103. The background server can receive depth information including the articulation point collected by the visual equipment, further calculate motion parameter values of the test action and the like, and feed back processing results (such as the motion parameter values) to the terminal equipment.
It should be noted that, the medical data transmission method provided in the embodiment of the present application may be executed by theserver 105 or theterminal devices 101, 102, 103, and accordingly, the medical data transmission apparatus may be provided in theserver 105 or theterminal devices 101, 102, 103.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to fig. 2, aflow 200 of one embodiment of a medical data transmission method according to the present application is shown. The medical data transmission method comprises the following steps:
step 201, obtaining test data in a preset data format from a first device, where the first device is used to collect test data of a medical test, and the first device is, for example, a medical test device, an eye movement data test device, a hearing test device, or other medical test devices, and the preset data format is, for example, when the test data is eye movement data, at least one or more data combinations such as Modbug, SCP, RCP, etc.;
step 202, screening the test data, sending the screened test data to a second device, receiving a request for obtaining medical record information fed back by the second device, and outputting a diagnosis result by the second device. The data screening and washing can repeat the screening of the data or define the screening of the data after the threshold value or the screening of the data with the eye movement meeting the preset track or the data after the screening condition is set in advance. The medical staff acquires the data tested by the tested staff through the first equipment, the data are the screened data, the medical staff performs preliminary judgment on the screened data, and relevant data are added on the preliminary judgment, for example, the preliminary judgment result of the eye movement characteristic data of the staff is reverse glance errors, but the disease types causing the reverse glance errors are various, so the medical staff needs to know which disease types can cause the reverse glance errors, reference data need to be acquired, a request for acquiring medical record information is sent to the third equipment, and the third equipment is a known system of international classification in the prior art, such as an HIS system or other medical systems;
step 203, the request is converted into a first preset data standard, and then the first preset data standard is sent to a third device, medical record information fed back by the third device in response to the request is received, and the third device is used for storing the medical record information. In order to improve the efficiency of data interaction with the third device, a customized communication protocol is required, so that the data needs to be subjected to format conversion in the process of receiving and transmitting;
and 204, converting the medical record information into a preset data format and then transmitting the data format to the second device. The third device performs data matching on medical record information requested by medical staff according to a preset communication protocol, and sends the medical record information to the second device, and the third device needs to point out that: the matched data is format converted, such as Modbug, SCP or RCP, before being received by the second device.
The method only aims at improving the existing medical data interaction method, and the traditional multiple system data medical data interaction is realized, for example, diagnosis and treatment end systems need to diagnose age, disease diagnosis, complications, treatment modes, disease severity, information such as transformation and resource consumption (DRG), and the like, data interaction is realized by using the HL7 standard, in the interaction process, the system data formats of the two interaction parties are inconsistent, and data needs to be firstly converted into the data format recognized by the other system and then decoded, so that the stability and the readability of data transmission among different systems are realized. In the actual information transmission process, the complexity of medical data is not considered, a large amount of invalid data is transmitted in the communication process, the communication efficiency of the system is reduced, and the fact that when the transmitted invalid data is too much, the blockage of each node of a communication channel is easy to cause, and when the blockage is serious, the data transmission distortion is caused by particle jumping.
In this embodiment, the execution body (e.g., the server or the terminal device shown in fig. 1) on which the medical data transmission method operates acquires the joint points of the movement of the subject at the start time of each test action, and further, the movement parameter values of the test actions can be calculated based on each joint point at the start time of the test action.
In the method provided in the foregoing embodiment of the present application, as shown in fig. 3, the request includes an initial diagnosis result, where the initial diagnosis result is determined according to test data, and the request is sent to the third device after being converted into the first preset data standard, where the method includes:
step 301: and determining the medical record information type corresponding to the initial diagnosis result according to the corresponding relation between the pre-stored diagnosis result and the medical record information type. The medical staff or doctor performs preliminary determination according to the detection data of the first equipment, for example, the eye movement characteristics of the human at least comprise glance type and tracking type, when the eye movement data detected by the first equipment are displayed on the second equipment after being screened, the doctor determines the initial diagnosis result as glance type, and excludes the eye movement data corresponding to the tracking type;
step 302: and adding the medical record information type corresponding to the determined initial diagnosis result into the request to obtain a first request. The initial diagnosis result defines that the personnel is a glance type error in eye movement, in particular a reverse glance error in eye movement in glance type, and a doctor or a medical staff cannot accurately judge a specific cause, so that the doctor needs to request the third equipment for the reverse glance error according to a specific disease type corresponding to international classification, for example, alzheimer disease and frontotemporal dementia (FTD), the situation that the reverse glance occurs in the characteristic of eye movement reflected by the personnel also occurs, and therefore, the doctor needs to acquire specific reference data from the third equipment to accurately judge.
Step 303: the first request is converted into a first preset data standard and then sent to the third device, the first preset data standard is shown in table 1,
protocol typeProtocol code
Modbus1_m
SCP2_s
RCP3_r
TABLE 1
And converting the first request into a standard protocol shown in table 1 and then transmitting the standard protocol to third equipment, so that the efficiency of data interaction is improved.
In some optional implementations of this embodiment, as shown in fig. 4, the initial diagnosis result includes a disease type, and determining, according to a correspondence between a pre-stored diagnosis result and a medical record information type, the medical record information type corresponding to the initial diagnosis result includes:
and determining the medical record information type corresponding to the disease type according to the mapping relation between the disease type and the medical record information type, which is included in the pre-stored corresponding relation between the diagnosis result and the medical record information type.
In the eye movement diseases, for example, eye types are mainly reflected as eye movement characteristics, eye movement diseases of human beings are generally glance errors, tracking errors and fixation errors, the eye movement characteristics are taken as examples, a first device is transmitted to a display interface on a second device, a medical staff looks at test data of current staff, the disease types can be primarily determined, for example, reverse glance errors and reduced glance speeds are determined, and the mapping relation between the reverse glance errors, the eye movement characteristics and the reduced glance speeds is glance errors, which belongs to neurodegenerative diseases. The diagnosis condition of the neurodegenerative disease is complex, when a patient performs an eye movement test, various errors of eye movement tasks and substandard parameters can occur, alzheimer disease and frontotemporal dementia (FTD) can occur, and reverse glance occurs; parkinson's disease in Lewy body Parkinson's disease, patients may also experience reverse glance errors. The eye movement type errors and etiologies corresponding to the diseases are different, and the treatment modes are different, so that medical staff needs to request a third device to acquire related reference data (second request) to further diagnose the diseases, thereby correspondingly treating the patients.
In some alternative implementations of the present embodiment, as shown in fig. 5, the request includes an initial diagnostic result, and further includes:
and forming a second request by the initial diagnosis result and the test data, converting the second request into a second preset data standard, and then transmitting the second request to fourth equipment, wherein the fourth equipment is used for an intelligent diagnosis end, for example, a CDSS (compact digital satellite system) which belongs to an international medical standard system. And receiving the intelligent diagnosis result fed back by the fourth equipment in response to the second request, converting the intelligent diagnosis result into a preset data format, and then sending the data format to the second equipment. The method can simultaneously carry out data communication with a plurality of international medical standard systems, and comprehensively judges the test data, and related reference data is required to be acquired from the plurality of systems simultaneously. The second preset data are suitable for the corresponding data formats under different communication protocols. According to the preliminary diagnosis of medical staff, a second request is sent to fourth equipment, the fourth equipment automatically matches other disease types of corresponding symptoms and reference data of corresponding treatment according to the preliminary diagnosis and feeds the reference data back to doctors, and the efficiency of data transmission is improved while the data effectiveness is improved.
The purpose is that: the method has the advantages that the execution condition of the eye movement detection range of the personnel is related to the type of the neurodegenerative disease of the nervous system, the eye movement detection range is applied to the actual data transmission process, based on the correlation, the eye movement data is taken as a main body for medical personnel in the actual diagnosis process, the relevant effective data is acquired from other systems of a hospital, and the data transmission and conversion efficiency is improved.
In some alternative implementations of the present embodiment, the test data includes eye movement information, and screening the test data includes:
determining the data with empty eye movement point coordinates in the eye movement information as invalid data (the data generated by the closing of eyes of a person during the detection of the eye movement characteristics is the invalid data, or the head of the person shakes during the detection, the slit light is not aligned to the through hole at all, and the acquired data is the invalid data), and deleting the invalid data;
and deleting the repeated data in the eye movement information.
Test data in a preset data format is acquired from the first device, the preset data format, for example,
{"I":0,"P":"0,0","EP":"0,0","T":637971194298688230}
i: indexing data; p: coordinates of system points; t: time; EP: eye movement point coordinates; "637971194298688230" is the personnel's ID card number;
1. advanced data sorting and screening:
sequencing: and according to the index coordinates, ascending order is carried out on the unordered data.
Screening and washing data: and judging whether the EP eye movement point coordinates are empty, if so, removing the data, and not judging as effective data.
2. Data classification is carried out:
and comparing the system point coordinates with the eye movement point coordinates, if the two point coordinates are coincident, indicating that the eye movement is correct, and if the two point coordinates are not coincident, indicating that the eye movement is wrong, and taking the eye movement error as invalid data.
In different systems, due to different coding formats of data, the data quantity of data transmission in a plurality of different systems is reduced through the transmission of effective data, the calculation pressure of data format conversion in the data transmission of the systems is reduced, and the operation efficiency of the systems is improved.
In some optional implementations of this embodiment, the data with the eye movement point coordinates being null in the eye movement information is determined as invalid data, and the invalid data is deleted, and the duplicated data in the eye movement information is deleted.
For the above method, in order to provide more reference information for medical staff, it is preferable that the track accuracy of the eye movement information after screening is determined, where the track accuracy is determined according to the eye movement drop point coordinates and the system drop point coordinates of the eye movement information at different moments, and the method is specifically as follows:
the eye movement information is converted into coordinate points under a two-dimensional coordinate system, each eye movement information corresponds to one X and Y coordinate point, coordinates (X2 and Y2) of an eye movement system drop point are set in the second equipment, the coordinates of the eye movement drop point corresponding to the eye movement information at the moment 1 are (X1 and Y1), and the track accuracy rate meets the following conditions:
θ=(x1 y1 -x2 y2 ) 100%, and medical staff makes further decisions and judgments according to the track accuracy.
On the basis of the method, before or after the track accuracy is calculated, the eye movement information can be classified, the accuracy of the eye movement information after classification is judged, for example, whether the coordinates corresponding to the eye movement information are overlapped with standard coordinates or not is judged, if yes, the eye movement information is judged to be eye movement accurate data, if not, the eye movement information is judged to be eye movement error data, wherein the standard coordinates are prestored coordinates in the second equipment, and accurate data is provided for comprehensively making a decision of the eye movement information provided for medical staff.
In some optional implementations of this embodiment, the converting the request to the first preset data standard and then sending the request to the third device includes:
according to the preset data transmission mode, the request is converted into a first preset data standard and then is transmitted to third equipment (HIS system), and the data standard entering the HSI system is converted, as shown in Table 2:
ModbusHL7
71014102................g111.3 (diseases) code (d): I eye movement trajectory data
..........................................................
TABLE 2
In some optional implementations of this embodiment, before the data format conversion with the third device, the data may be classified, so as to further improve efficiency of data interaction, specifically:
before the effective data is sent, the data distribution mode and the data transmission standard are agreed with the third device in advance, for example, the effective data is converted according to the HL7 or SOAP standard, and the table 3 is referred to;
Figure BDA0004000113910000091
Figure BDA0004000113910000101
TABLE 3 Table 3
The method comprises the steps of dividing effective data into multiple categories, wherein each category corresponds to a contract distribution data mode which at least comprises a push data mode, a pull data mode and a data preset mode. For example, ICD-10 classification codes correspond to glance type eye movement data, G00 corresponds to gazing type eye movement data, G99 corresponds to tracking type eye movement data, after classification, data channels with different periods can be set for sending different types of data, and therefore data interaction efficiency can be greatly improved.
As shown in fig. 6, the medicaldata transmission apparatus 600 of the present embodiment includes:
the acquiringmodule 601 is configured to acquire test data in a preset data format from a first device, where the first device is configured to acquire test data of a medical test;
thescreening module 602 is configured to screen the test data, send the screened test data to a second device, and receive a request for obtaining medical record information fed back by the second device, where the second device is configured to output a diagnosis result;
a sendingmodule 603, configured to convert the request into a first preset data standard, send the first preset data standard to a third device, receive medical record information fed back by the third device in response to the request, and store the medical record information by the third device;
and thefeedback module 604 is configured to convert the medical record information into the preset data format and send the converted medical record information to the second device.
In this embodiment, the specific processes of theacquisition module 601, thescreening module 602, the sendingmodule 603, and thefeedback module 604 of the medicaldata transmission device 600 and the technical effects thereof may refer to the related descriptions of the corresponding embodiments of fig. 2 to 5, and are not repeated herein.
In some optional implementations of the present embodiment, the medicaldata transmission device 600 specifically includes:
theacquisition module 601 further comprises a data connection stabilizing unit, and is provided with an acquisition end, wherein the acquisition end is in data interaction with the first device, and is used for monitoring the current connection state in real time so as to ensure the integrity of the acquired data, and immediately switching to the available connection according to the existing available connection mode after the connection is found to be disconnected, wherein the connection mode is (Wifi, bluetooth, type-C);
the screening andwashing module 602 further comprises a data screening and washing unit, wherein the data is filtered before being sent to the second device, invalid and repeated data are removed, and the data is ensured to have no influence on subsequent application;
the sendingmodule 603 further includes a data automatic conversion unit, and before exchanging data with the third device and/or the fourth device, the data transmission standard and the data distribution mode are agreed, that is, the collected data is converted according to HL7 or SOAP standard according to the information exchange standard corresponding to the system of the third device and/or the fourth device, and then the collected data is grouped according to ICD-10 (international disease classification), and the collected data is matched with the collection end in a good data format (Modbug, SCP, RCP);
thefeedback module 604 further includes a data status recording unit, which records the operation behavior and the current usage status of the data when the data is operated.
As shown in fig. 7, the electronic device includes: one ormore processors 701,memory 702, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple electronic devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). Oneprocessor 701 is illustrated in fig. 7.
Memory 702 is a non-transitory computer-readable storage medium provided herein. The memory stores instructions executable by the at least one processor to cause the at least one processor to perform the medical data transmission methods provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the medical data transmission method provided by the present application.
Thememory 702 is used as a non-transitory computer readable storage medium for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules (e.g., theswitch acquisition module 601, thescreen wash module 602, thetransmission module 603, and thefeedback module 604 shown in fig. 6) corresponding to the medical data transmission method in the embodiment of the present application. Theprocessor 701 executes various functional applications of the server and data processing, i.e., implements the medical data transmission method in the above-described method embodiments, by running non-transitory software programs, instructions, and modules stored in thememory 702.
Memory 702 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created according to the use of the electronic device of the medical data transmission method, and the like. In addition, thememory 702 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments,memory 702 optionally includes memory remotely located relative toprocessor 701, which may be connected to the processing electronics of the medical data transmission method via a network. Examples of such networks include, but are not limited to, the internet, corporate/medical facility intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the medical data transmission method may further include: aninput device 703 and anoutput device 704. Theprocessor 701, thememory 702, theinput device 703 and theoutput device 704 may be connected by a bus or otherwise, in fig. 7 by way of example.
Theinput device 703 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device of the medical data transmission method, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointer stick, one or more mouse buttons, a track ball, a joystick, a sensor that may capture human motion information and/or physiological information, and the like. Theoutput device 704 may include a display apparatus, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device may be a touch screen, a Head Mounted Display (HMD).
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASIC (application specific integrated circuit), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
These computing programs (also referred to as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
The flowcharts 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 application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, 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.
As another aspect, the present application also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: acquiring test data in a preset data format from first equipment, wherein the first equipment is used for acquiring the test data of medical tests; screening the test data, sending the screened test data to second equipment, and receiving a request for acquiring medical record information fed back by the second equipment, wherein the second equipment is used for outputting a diagnosis result; the request is converted into a first preset data standard and then sent to third equipment, medical record information fed back by the third equipment in response to the request is received, and the third equipment is used for storing the medical record information; and converting the medical record information into the preset data format and then sending the medical record information to the second equipment.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the invention referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or equivalents thereof is possible without departing from the spirit of the invention. Such as the above-described features and technical features having similar functions (but not limited to) disclosed in the present application are replaced with each other.

Claims (10)

1. A medical data transmission method, the method comprising:
acquiring test data in a preset data format from first equipment, wherein the first equipment is used for acquiring the test data of medical tests;
screening the test data, sending the screened test data to second equipment, and receiving a request for acquiring medical record information fed back by the second equipment, wherein the second equipment is used for outputting a diagnosis result;
the request is converted into a first preset data standard and then sent to third equipment, medical record information fed back by the third equipment in response to the request is received, and the third equipment is used for storing the medical record information;
and converting the medical record information into the preset data format and then sending the medical record information to the second equipment.
2. The method of claim 1, wherein the request includes an initial diagnostic result determined from the test data, the request being converted to a first preset data standard and sent to the third device, comprising:
determining the medical record information type corresponding to the initial diagnosis result according to the corresponding relation between the pre-stored diagnosis result and the medical record information type;
adding the medical record information type corresponding to the determined initial diagnosis result into the request to obtain a first request;
and converting the first request into the first preset data standard and then sending the first request to the third equipment.
3. The method of claim 2, wherein the initial diagnostic result includes a disease type, and determining a medical record information type corresponding to the initial diagnostic result according to a correspondence of a pre-stored diagnostic result and the medical record information type includes:
and determining the medical record information type corresponding to the disease type according to the mapping relation between the disease type and the medical record information type, which is included in the pre-stored corresponding relation between the diagnosis result and the medical record information type.
4. The method of claim 2, wherein the initial diagnostic result includes a symptom type, and determining a medical record information type corresponding to the initial diagnostic result according to a correspondence between pre-stored diagnostic results and medical record information types includes:
and determining the medical record information types corresponding to all the disease types comprising the symptom types according to the mapping relation of the symptom types, the disease types and the medical record information types, which are included in the pre-stored corresponding relation of the diagnosis results and the medical record information types.
5. The method of any of claims 1-4, wherein the request includes an initial diagnostic result, further comprising:
the initial diagnosis result and the test data form a second request, the second request is converted into a second preset data standard and then sent to fourth equipment, and the fourth equipment is used for an intelligent diagnosis end;
and receiving an intelligent diagnosis result fed back by the fourth device in response to the second request, converting the intelligent diagnosis result into the preset data format, and then sending the intelligent diagnosis result to the second device.
6. The method of any of claims 1-4, wherein the test data includes eye movement information, the test data being screened out, comprising:
determining the data with the eye movement point coordinates being empty in the eye movement information as invalid data, and deleting the invalid data; and/or the number of the groups of groups,
deleting repeated data in the eye movement information, and calculating the track accuracy of the eye movement information after screening, wherein the track accuracy is determined according to eye movement drop point coordinates and system drop point coordinates of the eye movement information at different moments; and/or the number of the groups of groups,
and judging whether the coordinates corresponding to the eye movement information are overlapped with standard coordinates, if so, judging that the eye movement information is eye movement correct data, and if not, judging that the eye movement information is eye movement error data, wherein the standard coordinates are prestored coordinates in the second equipment.
7. The method according to any one of claims 1 to 4, wherein the converting the request into the first preset data standard and then sending the first preset data standard to the third device comprises:
and converting the request into a first preset data standard according to a preset data transmission mode, and transmitting the first preset data standard to third equipment.
8. A medical data transmission device, the device comprising:
the acquisition module is used for acquiring test data in a preset data format from first equipment, wherein the first equipment is used for acquiring the test data of medical tests;
the screening and washing module is used for screening and washing the test data, sending the screened and washed test data to second equipment, receiving a request for acquiring medical record information fed back by the second equipment, and outputting a diagnosis result by the second equipment;
the sending module is used for converting the request into a first preset data standard and then sending the first preset data standard to third equipment, receiving medical record information fed back by the third equipment in response to the request, and the third equipment is used for storing the medical record information;
and the feedback module is used for converting the medical record information into the preset data format and then sending the data format to the second equipment.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1 to 7.
10. A computer readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1 to 7.
CN202211644027.5A2022-12-152022-12-15Medical data transmission method, device, equipment and storage mediumActiveCN116092616B (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN202211644027.5ACN116092616B (en)2022-12-152022-12-15Medical data transmission method, device, equipment and storage medium

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN202211644027.5ACN116092616B (en)2022-12-152022-12-15Medical data transmission method, device, equipment and storage medium

Publications (2)

Publication NumberPublication Date
CN116092616Atrue CN116092616A (en)2023-05-09
CN116092616B CN116092616B (en)2024-05-14

Family

ID=86207372

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN202211644027.5AActiveCN116092616B (en)2022-12-152022-12-15Medical data transmission method, device, equipment and storage medium

Country Status (1)

CountryLink
CN (1)CN116092616B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
WO2000069331A1 (en)*1999-05-172000-11-23Pharmacon Global Enterprises, LlcData processing system for patient outcome and risk benchmarking and healthcare data base management
KR20150106491A (en)*2014-03-112015-09-22계명대학교 산학협력단Integrated computer-aided diagnosis system using heterogeneous bio data for diagnosis and similar patient search from database
US20170344704A1 (en)*2016-05-262017-11-30Xue CHUComputer assisted systems and methods for acquisition and processing of medical history
CN109766329A (en)*2018-12-292019-05-17湖南网数科技有限公司A kind of clinical data unit generation method and device for supporting that exchange is shared
CN110249392A (en)*2018-08-202019-09-17深圳市全息医疗科技有限公司Intelligent assisting in diagnosis and treatment system and method
CN110675951A (en)*2019-08-262020-01-10北京百度网讯科技有限公司Intelligent disease diagnosis method and device, computer equipment and readable medium
CN111341421A (en)*2020-02-262020-06-26深圳市凯利博实业有限公司Health diagnosis method and system based on intelligent thermometer and 5G
CN112071420A (en)*2020-08-122020-12-11福建中榕数据科技有限公司Clinical aid decision making method, system, equipment and medium based on real-time data
WO2021155127A1 (en)*2020-01-312021-08-05Reliant Immune Diagnostics, Inc.Automated data record classification and methods of use thereof

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
WO2000069331A1 (en)*1999-05-172000-11-23Pharmacon Global Enterprises, LlcData processing system for patient outcome and risk benchmarking and healthcare data base management
KR20150106491A (en)*2014-03-112015-09-22계명대학교 산학협력단Integrated computer-aided diagnosis system using heterogeneous bio data for diagnosis and similar patient search from database
US20170344704A1 (en)*2016-05-262017-11-30Xue CHUComputer assisted systems and methods for acquisition and processing of medical history
CN110249392A (en)*2018-08-202019-09-17深圳市全息医疗科技有限公司Intelligent assisting in diagnosis and treatment system and method
CN109766329A (en)*2018-12-292019-05-17湖南网数科技有限公司A kind of clinical data unit generation method and device for supporting that exchange is shared
CN110675951A (en)*2019-08-262020-01-10北京百度网讯科技有限公司Intelligent disease diagnosis method and device, computer equipment and readable medium
WO2021155127A1 (en)*2020-01-312021-08-05Reliant Immune Diagnostics, Inc.Automated data record classification and methods of use thereof
CN111341421A (en)*2020-02-262020-06-26深圳市凯利博实业有限公司Health diagnosis method and system based on intelligent thermometer and 5G
CN112071420A (en)*2020-08-122020-12-11福建中榕数据科技有限公司Clinical aid decision making method, system, equipment and medium based on real-time data

Also Published As

Publication numberPublication date
CN116092616B (en)2024-05-14

Similar Documents

PublicationPublication DateTitle
CA2897011C (en)Systems and methods for processing and displaying patient electrocardiograph data
CN109581981B (en) A data fusion system and its working method
CN102509010B (en)Remote medical detection system
CN105808946A (en)Remote mobile medical system based on cloud computing
WO2011126860A2 (en)Medical diagnosis using biometric sensor protocols
JP2018142259A (en)Manufacturing management device, method, and program
Sahyoun et al.ParkNosis: Diagnosing Parkinson's disease using mobile phones
CN111916203B (en) Health detection method, device, electronic device and storage medium
CN105611872A (en)An apparatus and method for evaluating multichannel ECG signals
CN116013033A (en)Multi-source signal fatigue driving detection method, device and storage medium
CN117116467A (en)Intelligent diagnosis and treatment system based on facial recognition
CN113628758B (en)Information processing method and device based on AI and RPA
CN114397964B (en) An effective gaze point detection method, device, electronic device and storage medium
CN116092616B (en)Medical data transmission method, device, equipment and storage medium
CN114795133A (en)Sleep apnea detection method, device, equipment and storage medium
CN111290577B (en)Non-contact input method and device
CN115444565B (en) Surgical robot system and feedback control system and method for its execution end
CN111128321A (en)Information display method and system, device, electronic equipment and readable medium
CN117562540A (en) Attention assessment method, device, electronic device and computer-readable storage medium
CN116763312A (en)Abnormal emotion recognition method and system based on wearable equipment
CN112735601B (en)Test method, device and equipment for determining infectious disease close-contact population by using Bluetooth
CN109222859A (en)A kind of intelligent endoscope image system with AI auxiliary diagnosis function
CN116135146A (en) Dynamic electrocardiographic analysis method, device and medical equipment
CN112836760A (en) Wearable device-based manual assembly task performance recognition system and method
CN115857678B (en)Eye movement testing method, device, equipment and storage medium

Legal Events

DateCodeTitleDescription
PB01Publication
PB01Publication
SE01Entry into force of request for substantive examination
SE01Entry into force of request for substantive examination
GR01Patent grant
GR01Patent grant

[8]ページ先頭

©2009-2025 Movatter.jp