CN116936017A - Medical data fusion acquisition method and system for multi-center scene - Google Patents
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Abstract
The application discloses a medical data fusion acquisition method and a system for a medical scene multi-center scene in the technical field of medical data fusion acquisition, wherein the system comprises a data user layer, a data access layer and a data convergence layer, the data user layer is used for capturing recorded medical data in a medical institution to which the medical data belongs and generating a communication log and a storage log, a dedicated data communication link is established between the data access layer and the data convergence layer based on the type of the medical data, the data convergence layer is used for acquiring required medical data through the dedicated communication link after searching medical data content, checking the medical data, storing correct medical data through a center database, carrying out backup processing on the medical data, and storing the medical data into a distributed relational storage which is convenient for rapid searching and also storing the medical data in a distributed file database. The application improves the diversity and accuracy of the acquired medical data and avoids the situation of repeated acquisition of the medical data.
Description
Technical Field
The application belongs to the technical field of medical data fusion acquisition, and particularly relates to a medical data fusion acquisition method and system for a multi-center scene.
Background
Medical data is an important asset of a medical institution, but due to the fact that data collection, storage, fusion and management are not standard, the data utilization rate is not high, and due to the fact that a data sharing mechanism between cross departments and cross institutions is missing, the medical data cannot be effectively fused and utilized, units needing data or related data cannot be obtained through research. Along with the progress of big data and artificial intelligence technology, the clinical research of China has entered into a multi-mode big data era, new technology and massive data are pushing continuous innovation of clinical medical research, and the current missing multi-center-oriented medical data fusion acquisition method is more leading to the incapability of developing a plurality of meaningful and valuable clinical researches and influencing the progress of medical and health career of China.
Currently, there is a technology for medical data collection in the prior art, for example, a medical data collection method described in chinese patent document CN110021405a, which sequentially includes a step a and a step b, wherein the step a: initiating a data acquisition request; the step b: acquiring related information through an electronic system; the step b includes a step b1 and a step b2., wherein the step b1: acquiring diagnosis and treatment and cost information of a patient through an HIS (Hospital Information System ); the step b2: electronic medical records such as patient admission, discharge, surgery and the like are acquired through EMR (Electronic Medical Record, electronic medical records).
However, the following problems still exist in the prior art: the acquired data is limited, a unified and compatible architecture is lacking, and the acquisition of medical data in more medical institutions is inconvenient; acquisition errors easily occur in the medical data acquisition process; the medical data is easy to repeatedly collect, and the load of the database is increased.
Disclosure of Invention
The application aims to provide a medical data fusion acquisition method and system for a multi-center scene, which can acquire various medical data in real time, check the acquired medical data to avoid the situation that the medical data is in sequence and is acquired in error, and search a database for the pre-acquired medical data to avoid the situation that the medical data is acquired repeatedly.
In order to achieve the above purpose, the technical scheme of the application is as follows: the medical data fusion acquisition system for the multi-center scene comprises a data user layer, a data access layer and a data convergence layer, wherein the data user layer is arranged in each medical institution;
the data user layer comprises an internal database, an external database, a data communication module and a plurality of user modules; the user module is used for inputting medical data under the medical institution and processing the medical data into first medical data; the internal database is used for converting the first medical data into internal medical data, storing the internal medical data and generating a first storage log at the same time; the data communication module is used for establishing communication between the user module and the internal database and generating a first communication log according to the first medical data content;
the data access layer comprises a medical data classification module, a plurality of routing modules and a plurality of exchange modules; the medical data classification module is used for analyzing the first communication log to obtain data classification information of the first medical data; each routing module interacts with each internal database independently, and establishes data communication with the corresponding exchange module according to the data classification information; the exchange module interacts with all the routing modules and is used for acquiring a first storage log through the routing module which establishes data communication with the exchange module;
the data convergence layer comprises a data detection module, a data interaction module, a data conversion module, a retrieval module, a verification module and a plurality of central databases; the central database is used for storing external medical data, the data detection module is interacted with the exchange module and is used for analyzing the first storage log to obtain first storage content, the retrieval module is used for retrieving the first storage content in the central database, if external medical data corresponding to the first storage content is retrieved in the central database, the central database does not respond, and if external medical data corresponding to the first storage content is not retrieved in the central database, the data interaction module and the corresponding exchange module establish data communication; the data interaction module is used for acquiring first medical data through the corresponding exchange module and the corresponding routing module; the data conversion module is used for converting the first medical data format into external medical data suitable for being stored in the central database; the verification module is used for calculating the external medical data and the first medical data by adopting the same verification algorithm, respectively obtaining verification values of the external medical data and the first medical data, comparing the verification values of the external medical data and the first medical data, storing the external medical data through the central database if the verification values are the same, and acquiring the first medical data again through the data interaction module if the verification values are different;
the external database is used for acquiring and temporarily storing the required external medical data through the access layer, and the data communication module is also used for establishing communication between the external database and the user module.
Further, the data user layer further comprises a mode switching module, the mode switching module interacts with the user module, the mode switching module is used for providing user mode options after the user module inputs medical data under the affiliated medical institution, the mode options comprise a sharing mode, a non-sharing mode and a delayed sharing mode, and the data communication module generates a first communication log under the sharing mode; the data communication module will not generate a first communication log in the non-sharing mode; the communication module in the delay sharing mode generates a first communication log according to a user preset time delay.
Furthermore, real-time interaction can be carried out between each exchange module, and each interaction module is internally provided with an emergency processing submodule which is used for establishing data communication with the adjacent exchange module and establishing data communication with a medical institution needing information interaction through the adjacent exchange module and the routing module when an external database cannot interact with each central database through the data access layer.
Furthermore, the switching modules are also internally provided with downtime processing sub-modules, and the downtime processing sub-modules are used for establishing data communication with adjacent switching modules and interacting with the data convergence layer through the adjacent switching modules when the corresponding switching modules cannot interact with the data convergence layer.
Further, the data communication module is further used for generating a second communication log according to the communication content between the external database and the user module; the data user layer further comprises a behavior recording module, the behavior recording module is used for collecting recent second communication logs and generating behavior information according to medical data types of the recent second communication log information, the behavior recording module is further used for establishing data communication with the retrieval module through the data access layer, the retrieval module is further used for retrieving in the central database according to the behavior information and generating temporary external medical data according to the retrieved external medical data, the data interaction module is further used for sending the temporary external medical data to the corresponding external database through the access layer, and the external database is further used for temporarily storing the temporary external medical data.
Further, the user modules include, but are not limited to, HIS systems, electronic medical record systems, LIS systems, PACS systems, physical examination systems, and hand-anesthesia systems.
Further, the data user layer further comprises a patient real-time monitoring module, the patient real-time monitoring module comprises a monitoring unit and a terminal device, the monitoring unit is used for collecting vital sign information of a patient in real time and generating patient monitoring information, the terminal device is used for comparing the patient monitoring information collected at the time with patient monitoring information collected last time and analyzing patient real-time medical data according to the difference of the patient monitoring information collected at the time, and the user module is further used for processing the real-time medical data into first medical data.
A medical data fusion acquisition method for multi-center scenes comprises the following steps:
s1, medical data are input; medical data under the affiliated medical institution is recorded, the medical data is processed into first medical data, a first communication log is generated according to the content of the first medical data, the first medical data is converted into internal medical data, the internal medical data is stored, and meanwhile a first storage log is generated;
s2, medical data access; analyzing data classification information of the first medical data for the first communication log, establishing data communication with a corresponding exchange module according to the data classification information, and acquiring a first storage log by the corresponding exchange module;
s3, medical data comparison; analyzing the first storage log to obtain first storage content, and searching the first storage content in a central database;
s4, medical data conversion; if the external medical data corresponding to the first storage content is not searched in the central database, the data interaction module establishes data communication with the corresponding exchange module, acquires the first medical data through the corresponding exchange module and the corresponding routing module, and converts the first medical data format into external medical data suitable for the central database to store;
s5, checking medical data; calculating the external medical data and the first medical data by adopting the same verification algorithm to respectively obtain verification values of the external medical data and the first medical data, and comparing the verification values of the external medical data and the first medical data;
s6, medical data storage; and if the check values are the same, storing the external medical data through the central database, and if the check values are different, acquiring the first medical data again through the data interaction module.
Further, S1, medical data input is carried out to acquire vital sign information of a patient in real time and generate patient monitoring information; comparing the patient monitoring information acquired at this time with the patient monitoring information acquired last time, analyzing the real-time medical data of the patient according to the difference of the patient monitoring information acquired at the two times, and processing the real-time medical data into first medical data.
After the scheme is adopted, the following beneficial effects are realized:
1. compared with the prior art, the acquired medical data diversity is improved by acquiring the medical data recorded in various systems in the medical institution; the medical data content acquired in advance is searched in the central database through the search module, and then whether acquisition is performed or not is determined, so that the situation of repeated acquisition of medical data is avoided; and the converted medical data and the initial expected data are checked and compared through the checking module, so that the accuracy of medical data acquisition is improved.
2. According to the application, the data access layer classifies the medical data according to the content of the pre-acquired medical data, and establishes the exclusive data interaction link according to the classification, so that the problem of overlarge load of the data interaction link caused by overlarge medical data in the medical data acquisition process is solved.
3. According to the application, whether the medical data are acquired or not can be controlled through the mode switching module, so that the loss of the medical institution caused by the fact that sensitive medical data and confidential medical data are acquired and disclosed is avoided.
4. According to the application, the emergency processing sub-module and the downtime processing sub-module are used for carrying out emergency processing on the emergency situation in the medical data acquisition and medical data use process, so that the system can still complete medical data interaction when part of data interaction links are in failure.
5. According to the medical data management system and the medical data management method, the medical data use behaviors of the medical institutions are recorded through the behavior recording module, and medical data possibly adopted by the medical institutions are pushed to the medical institution side in advance according to the use behavior conditions, so that the medical institutions can acquire related medical data quickly.
6. The application also collects the vital sign information of the patient in real time, realizes the intercommunication of the vital sign information of the patient among the medical institutions, is convenient for the patient to diagnose and treat the patient by combining the previous vital sign information of the patient conveniently and accurately when the patient makes a doctor across the medical institutions.
Drawings
FIG. 1 is a schematic diagram of a system for medical data fusion and acquisition system for multi-center scenario according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a system architecture of an embodiment of a medical data fusion acquisition system for multi-center scenarios according to the present application;
fig. 3 is a schematic workflow diagram of an embodiment of a medical data fusion and collection method for a multi-center scene according to the present application.
Detailed Description
The following is a further detailed description of the embodiments:
reference numerals in the drawings of the specification include: data user layer 1, data access layer 2, data convergence layer 3, internal database 101, external database 102, data communication module 103, patient real-time monitoring module 104, user module 105, mode switching module 106, behavior recording module 107, data classification module 201, routing module 202, switching module 203, data detection module 301, retrieval module 302, verification module 303, central database 304, data interaction module 205, data conversion module 306, backup database 307.
Example 1
Substantially as shown in figures 1 and 2: a medical data fusion acquisition system oriented to a multi-center scene comprises a data user layer 1, a data access layer 2 and a data convergence layer 3, wherein the data user layer 1 is arranged in each medical institution.
The data user layer 1 comprises an internal database 101, an external database 102, a data communication module 103 and a plurality of user modules 105; the user module 105 is configured to enter medical data under the affiliated medical institution through information systems such as an HIS system, an electronic medical record system, an LIS system, a PACS system, a physical examination system, a hand and hemp system, and perform format conversion and fusion on the entered medical data to obtain first medical data with uniform format. The internal database 101 is used for converting the first medical data into the internal medical data suitable for the storage format of the internal database 101, storing the internal medical data, and generating a first storage log. The data communication module 103 is configured to establish communication between the user module 105 and the internal database 101, and capture serial data through the data communication module 103 in a process of storing the first medical data in the internal database 101, so as to obtain a first communication log corresponding to the first medical data content.
The data access layer 2 comprises a medical data classification module 201, a plurality of routing modules 202 and a plurality of exchange modules 203; the medical data classification module 201 is configured to analyze the first communication log to obtain data classification information of the first medical data, where the data classification information includes structured data, semi-structured data and unstructured data, and if the data classification information is structured data, classify the first medical data into static data and dynamic data, and respectively perform structured processing on the static data and the dynamic data to finally obtain structured data of the first medical data; finally, the data are two types of structured data and unstructured data; each routing module 202 interacts with each internal database 101 independently, and establishes data communication with the corresponding switching module 203 according to the data classification information, the structured data and the unstructured data are transmitted through the corresponding switching module 203, the switching module 203 interacts with all the routing modules 202, and is used for obtaining a first storage log through the routing module 202 which is establishing data communication with the first medical data, for example, if the first medical data contains structured data, the routing module 202 establishes data communication with the switching module 203 which transmits structured data, and the switching module 203 which transmits structured data obtains the first storage log.
The data convergence layer 3 comprises a data detection module 301, a data interaction module 205, a data conversion module 306, a retrieval module 302, a verification module 303, a plurality of central databases 304 and backup databases 307 corresponding to the central databases 304; the central database 304 is used for storing all collected external medical data, and the backup database 307 is independently interacted with the corresponding central database 304 and backs up the medical data in the central database 304 in real time. The data detection module 301 is interacted with the exchange module 203, and is configured to parse the first storage log to mainly parse the binary log therein, obtain the modified data content recorded in the binary log, define the modified data content as the first storage content, and the search module 302 is configured to search the first storage content in the central database 304, if external medical data corresponding to the first storage content is searched in the central database 304, the data detection module 301 does not respond, if external medical data corresponding to the first storage content is not searched in the central database 304, the data interaction module 205 establishes data communication with the corresponding exchange module 203, and the data interaction module 205 establishes a separate data link with the corresponding exchange module 203 and the routing module 202 in the medical institution; the data interaction module 205 is configured to transmit the first medical data to the data conversion module 306 through the data link after MD5 encryption is performed on the first medical data; the data conversion module 306 is configured to decrypt the received encrypted first medical data, and then convert the first medical data format into external medical data that is unified and suitable for being stored in the central database 304 according to databases used by different medical institutions, including databases such as Oracle, SQL Server, mySQL, db2, and cache.
The verification module 303 is configured to calculate the external medical data and the first medical data by using modulo two arithmetic, obtain verification values of the external medical data and the first medical data respectively, compare the verification values of the external medical data and the first medical data, store the external medical data through the central database 304 if the verification values are the same, retrieve the first medical data through the data interaction module 205 if the verification values are different, know that the modulo two arithmetic results of the external medical data and the first medical data are the same after repeating the steps, and store the external medical data through the central database 304; in the initial stage of system construction, the medical data of each medical institution are synchronized to the central database 304 in full quantity in the above manner, and in the subsequent use process, the data communication module 103 is used for capturing the first communication log in the medical institution in real time, and the central database 304 is synchronized in real time in an incremental manner, so that the latest external medical data are stored in the central database 304.
The data communication module 103 is further configured to establish communication between the external database 102 and the user module 105, and when the medical institution needs to use the medical data in the central database 304, the user module 105 sends a data request, that is, each system used by the medical institution, through the access layer, and the external database 102 is configured to obtain and temporarily store the required external medical data through a dedicated data interaction link after receiving the data request, where each system in the medical institution uses the required medical data through the external database 102.
The data user layer 1 further includes a mode switching module 106, the mode switching module 106 interacts with the user module 105, the mode switching module 106 is configured to provide user mode options after the user module 105 and a system used by the medical institution enter medical data under the medical institution, the mode options include a sharing mode, a non-sharing mode and a delayed sharing mode, and the data communication module 103 generates a first communication log in the sharing mode; the data communication module 103 in the not-shared mode will not generate the first communication log; the communication module in the delay sharing mode generates a first communication log according to the preset time delay of the user; medical data can be acquired and collected through the access layer only when the first communication module generates the first communication log, so that leakage of sensitive medical data and confidential medical data of a hospital is avoided.
The exchange modules 203 can perform real-time interaction, and emergency processing sub-modules are arranged in the interaction modules, and are used for establishing data communication with adjacent exchange modules 203 when the external database 102 cannot interact with the central databases 304 through the data access layer 2, establishing data communication with a medical institution needing information interaction through the adjacent exchange modules 203 and the routing modules 202, generating prompt information through the exchange modules 203, and sending the prompt information to the user modules 105 of the medical institution through the established data communication links, so that fault discharge of the exchange modules 203 is facilitated in time. Temporary interaction with the internal database 101 within other medical institutions is performed through the access layer, thereby avoiding the problem of failure of the communication link to use medical data normally.
And the switching modules 203 are also provided with downtime processing sub-modules, and the downtime processing sub-modules are used for establishing data communication with adjacent switching modules 203 and interacting with the data convergence layer 3 through the adjacent switching modules 203 when the corresponding switching modules 203 cannot interact with the data convergence layer 3. Therefore, temporary auxiliary transmission can be performed by using adjacent exchange modules 203 after the used exchange modules 203 are failed, and the problem that medical data cannot be normally acquired due to the failure of the exchange modules 203 is avoided.
The data communication module 103 is further configured to generate a second communication log according to the communication content between the external database 102 and the user module 105; the data user layer 1 further comprises a behavior recording module 107, the behavior recording module 107 is configured to collect a recent second communication log, generate behavior information according to a medical data type of the recent second communication log information, the behavior information mainly records a medical data usage type of a medical institution to which the recent medical institution belongs, so as to obtain that the medical institution may need to use external medical data recently, the behavior recording module 107 is further configured to establish data communication with the retrieving module 302 through the data access layer 2, the retrieving module 302 is further configured to retrieve in the central database 304 according to the behavior information, and generate temporary external medical data according to the retrieved external medical data, the data interaction module 205 is further configured to send the temporary external medical data to the corresponding external database 102 through the access layer, and the external database 102 is further configured to temporarily store the temporary external medical data. The method is convenient for the medical institutions to use the external medical data, can quickly acquire the external medical data, and reduces the establishment of a data link and the time of data transmission.
The data user layer 1 further comprises a patient real-time monitoring module 104, the patient real-time monitoring module 104 comprises a monitoring unit and a terminal device, the monitoring unit is used for collecting vital sign information of a patient in real time and generating patient monitoring information, the detection information comprises information such as body temperature, respiration, pulse and blood pressure of the patient, the terminal device is used for comparing the patient monitoring information collected at the time with the patient monitoring information collected last time and analyzing patient real-time medical data according to the difference of the patient monitoring information collected at the two times, the user module 105 is further used for processing the real-time medical data into first medical data, and therefore the monitoring information of vital signs of the patient is communicated with other medical institutions, and when the patient is in medical treatment across the medical institutions, the patient can be treated more accurately based on the recorded patient monitoring information.
Example two
Basically as shown in fig. 3, the medical data fusion acquisition method for the multi-center scene comprises the following steps:
s1, medical data are input; medical data under the affiliated medical institution is recorded, the medical data is processed into first medical data, a first communication log is generated according to the content of the first medical data, the first medical data is converted into internal medical data, the internal medical data is stored, and meanwhile a first storage log is generated.
The vital sign information of the patient is acquired in real time, and patient monitoring information is generated; comparing the patient monitoring information acquired at this time with the patient monitoring information acquired last time, analyzing out real-time medical data of the patient according to the difference of the patient monitoring information acquired at the two times, and processing the real-time medical data into first medical data.
S2, medical data access; analyzing data classification information of the first medical data for the first communication log, establishing data communication with the corresponding exchange module 203 according to the data classification information, and acquiring a first storage log by the corresponding exchange module 203;
s3, medical data comparison; analyzing the first storage log to obtain first storage content, and searching the first storage content in the central database 304;
s4, medical data conversion; if the external medical data corresponding to the first storage content is not retrieved in the central database 304, the data interaction module 205 establishes data communication with the corresponding exchange module 203, acquires the first medical data through the corresponding exchange module 203 and the corresponding routing module 202, and converts the first medical data format into the external medical data suitable for the central database 304 to store;
s5, checking medical data; calculating the external medical data and the first medical data by adopting the same verification algorithm to respectively obtain verification values of the external medical data and the first medical data, and comparing the verification values of the external medical data and the first medical data;
s6, medical data storage; if the check values are the same, the external medical data is stored through the central database 304, and if the check values are different, the conversion of the medical data is repeated S4.
Example III
The difference with the above embodiment is that the real-time monitoring module 104 includes a pressure sensor, a video collector and a processor, where the pressure sensor preferably directly uses a pressure-sensitive capacitive sensor built-in under a display screen of the mobile terminal device, the video collector also preferably directly uses a camera and a flash lamp of the mobile terminal device, after a user presses a finger on the screen of the mobile terminal, other fingers simultaneously shield the rear camera and the flash lamp of the mobile terminal, the camera and the flash lamp can capture a pulsating image of a capillary vessel in the finger, the pressure sensor detects the pressing force of the user, and due to the interaction of the forces, the pressure of a front screen of the mobile terminal is equal to the pressure of the camera and the flash lamp at the rear end of the mobile terminal, under the condition that a certain pressure is reached, the finger surface is extruded, and the pulsating image of the capillary vessel in the finger can be more effectively collected through the camera and the light supplementing lamp.
Meanwhile, when the pressure sensor detects that the pressure of the finger at the front end of the mobile terminal meets a threshold value, the pressure sensor collects the pressure of the finger at the front end of the mobile terminal, filters the collected pressure information through a filter circuit, outputs a pressure signal and a pulse wave signal, and the processor receives the pressure signal and the pulse wave signal, wherein the processor preferably uses the mobile terminal to carry the processor, and the pressure signal and the pulse wave signal are calculated by the processor and then output first blood pressure information.
Meanwhile, the pulsation image of the capillary vessel in the finger, which is acquired by the camera and the light supplementing lamp, is also input into a processor of the mobile terminal, and the pulsation image of the capillary vessel in the finger is calculated by the processor and then the second blood pressure information is output. The processor compares the first blood pressure information with the second blood pressure information, gives a prompt for re-detection to the user if the difference value is smaller than the threshold value, outputs final blood pressure information if the difference value is smaller than the threshold value, synchronizes the blood pressure information into the system, facilitates the user to acquire the blood pressure information at any time and synchronize the blood pressure information into the system in time, and can acquire the blood pressure information of the patient in time.
The foregoing is merely exemplary of the present application and the specific structures and/or characteristics of the present application that are well known in the art have not been described in detail herein. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (9)
1. The medical data fusion acquisition system for the multi-center scene is characterized by comprising a data user layer, a data access layer and a data convergence layer, wherein the data user layer is arranged in each medical institution;
the data user layer comprises an internal database, an external database, a data communication module and a plurality of user modules; the user module is used for collecting medical data under the medical institution and processing the medical data into first medical data; the internal database is used for converting the first medical data into internal medical data, storing the internal medical data and generating a first storage log at the same time; the data communication module is used for establishing communication between the user module and the internal database and generating a first communication log according to the first medical data content;
the data access layer comprises a medical data classification module, a plurality of routing modules and a plurality of exchange modules; the medical data classification module is used for analyzing the first communication log to obtain data classification information of the first medical data; each routing module interacts with each internal database independently, and establishes data communication with the corresponding exchange module according to the data classification information; the exchange module interacts with all the routing modules and is used for acquiring a first storage log through the routing module which establishes data communication with the exchange module;
the data convergence layer comprises a data detection module, a data interaction module, a data conversion module, a retrieval module, a verification module and a plurality of central databases; the central database is used for storing external medical data, the data detection module is interacted with the exchange module and is used for analyzing the first storage log to obtain first storage content, the retrieval module is used for retrieving the first storage content in the central database, if external medical data corresponding to the first storage content is retrieved in the central database, the central database does not respond, and if external medical data corresponding to the first storage content is not retrieved in the central database, the data interaction module and the corresponding exchange module establish data communication; the data interaction module is used for acquiring first medical data through the corresponding exchange module and the corresponding routing module; the data conversion module is used for converting the first medical data format into external medical data suitable for being stored in the central database; the verification module is used for calculating the external medical data and the first medical data by adopting the same verification algorithm, respectively obtaining verification values of the external medical data and the first medical data, comparing the verification values of the external medical data and the first medical data, storing the external medical data through the central database if the verification values are the same, and acquiring the first medical data again through the data interaction module if the verification values are different;
the external database is used for acquiring and temporarily storing the required external medical data through the access layer, and the data communication module is also used for establishing communication between the external database and the user module.
2. The multi-center scene oriented medical data fusion acquisition system of claim 1, wherein: the data user layer further comprises a mode switching module, the mode switching module interacts with the user module, the mode switching module is used for providing user mode options after the user module inputs medical data under the medical institution, the mode options comprise a sharing mode, a non-sharing mode and a delayed sharing mode, and the data communication module generates a first communication log under the sharing mode; the data communication module will not generate a first communication log in the non-sharing mode; the communication module in the delay sharing mode generates a first communication log according to a user preset time delay.
3. The multi-center scene oriented medical data fusion acquisition system of claim 2, wherein: the exchange modules can perform real-time interaction, emergency processing sub-modules are arranged in the exchange modules, and are used for establishing data communication with adjacent exchange modules and establishing data communication with medical institutions needing information interaction through the adjacent exchange modules and the routing modules when an external database cannot interact with the central database through the data access layer.
4. The multi-center scene oriented medical data fusion acquisition system of claim 3, wherein: and the switching modules are internally provided with downtime processing sub-modules which are used for establishing data communication with adjacent switching modules and interacting with the data convergence layer through the adjacent switching modules when the corresponding switching modules cannot interact with the data convergence layer.
5. The multi-center scene oriented medical data fusion acquisition system of claim 4, wherein: the data communication module is also used for generating a second communication log according to the communication content of the external database and the user module; the data user layer further comprises a behavior recording module, the behavior recording module is used for collecting recent second communication logs and generating behavior information according to medical data types of the recent second communication log information, the behavior recording module is further used for establishing data communication with the retrieval module through the data access layer, the retrieval module is further used for retrieving in the central database according to the behavior information and generating temporary external medical data according to the retrieved external medical data, the data interaction module is further used for sending the temporary external medical data to the corresponding external database through the access layer, and the external database is further used for temporarily storing the temporary external medical data.
6. The multi-center scene oriented medical data fusion acquisition system of claim 5, wherein: the user modules include, but are not limited to, HIS systems, electronic medical record systems, LIS systems, PACS systems, physical examination systems, and hand-anesthesia systems.
7. The multi-center scene oriented medical data fusion acquisition system of claim 6, wherein: the data user layer further comprises a patient real-time monitoring module, the patient real-time monitoring module comprises a monitoring unit and a terminal device, the monitoring unit is used for collecting vital sign information of a patient in real time and generating patient monitoring information, the terminal device is used for comparing the patient monitoring information collected at the time with patient monitoring information collected last time and analyzing patient real-time medical data according to the difference of the patient monitoring information collected at the time, and the user module is further used for processing the real-time medical data into first medical data.
8. A medical data fusion acquisition method for a multi-center scene is characterized by comprising the following steps:
s1, medical data are input; medical data under the affiliated medical institution is recorded, the medical data is processed into first medical data, a first communication log is generated according to the content of the first medical data, the first medical data is converted into internal medical data, the internal medical data is stored, and meanwhile a first storage log is generated;
s2, medical data access; analyzing data classification information of the first medical data for the first communication log, establishing data communication with a corresponding exchange module according to the data classification information, and acquiring a first storage log by the corresponding exchange module;
s3, medical data comparison; analyzing the first storage log to obtain first storage content, and searching the first storage content in a central database;
s4, medical data conversion; if the external medical data corresponding to the first storage content is not searched in the central database, the data interaction module establishes data communication with the corresponding exchange module, acquires the first medical data through the corresponding exchange module and the corresponding routing module, and converts the first medical data format into external medical data suitable for the central database to store;
s5, checking medical data; calculating the external medical data and the first medical data by adopting the same verification algorithm to respectively obtain verification values of the external medical data and the first medical data, and comparing the verification values of the external medical data and the first medical data;
s6, medical data storage; and if the check values are the same, storing the external medical data through the central database, and if the check values are different, acquiring the first medical data again through the data interaction module.
9. The multi-center scene-oriented medical data fusion acquisition method and system as claimed in claim 8, wherein the method is characterized in that: s1, medical data input is carried out, vital sign information of a patient is acquired in real time, and patient monitoring information is generated; comparing the patient monitoring information acquired at this time with the patient monitoring information acquired last time, analyzing the real-time medical data of the patient according to the difference of the patient monitoring information acquired at the two times, and processing the real-time medical data into first medical data.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110474990A (en) * | 2019-09-10 | 2019-11-19 | 杭州字节信息技术有限公司 | A kind of multi-sensor data-fusion system based on LiteOS Internet of Things operating system |
| CN110875095A (en) * | 2019-09-27 | 2020-03-10 | 长沙瀚云信息科技有限公司 | Standardized clinical big data center system |
| CN115033566A (en) * | 2022-05-23 | 2022-09-09 | 西安交通大学医学院第一附属医院 | Multi-source heterogeneous medical big data fusion method and system |
| CN115312149A (en) * | 2022-08-10 | 2022-11-08 | 泰兴市中医院 | Medical information sharing method and system based on medical big data |
| CN115579094A (en) * | 2022-11-16 | 2023-01-06 | 神州医疗科技股份有限公司 | Multi-mode medical data lake construction method and system |
| CN115617840A (en) * | 2022-12-19 | 2023-01-17 | 江西曼荼罗软件有限公司 | Medical data retrieval platform construction method, system, computer and storage medium |
-
2023
- 2023-07-28 CN CN202310937662.0A patent/CN116936017B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110474990A (en) * | 2019-09-10 | 2019-11-19 | 杭州字节信息技术有限公司 | A kind of multi-sensor data-fusion system based on LiteOS Internet of Things operating system |
| CN110875095A (en) * | 2019-09-27 | 2020-03-10 | 长沙瀚云信息科技有限公司 | Standardized clinical big data center system |
| CN115033566A (en) * | 2022-05-23 | 2022-09-09 | 西安交通大学医学院第一附属医院 | Multi-source heterogeneous medical big data fusion method and system |
| CN115312149A (en) * | 2022-08-10 | 2022-11-08 | 泰兴市中医院 | Medical information sharing method and system based on medical big data |
| CN115579094A (en) * | 2022-11-16 | 2023-01-06 | 神州医疗科技股份有限公司 | Multi-mode medical data lake construction method and system |
| CN115617840A (en) * | 2022-12-19 | 2023-01-17 | 江西曼荼罗软件有限公司 | Medical data retrieval platform construction method, system, computer and storage medium |
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