Disclosure of Invention
In order to solve the above problems, the present application provides a monitoring display simulation method for medical teaching, comprising the following steps:
s1, establishing a case library,
In a case library, the cases are stored in a subpackage mode according to patient information, physiological parameters and waveform parameters to form a patient information data packet, a physiological parameter data packet and a waveform parameter data packet, and attribute tags are respectively added, wherein the physiological parameters and waveform parameter data in the physiological parameter data packet and the waveform parameter data packet are divided according to vital sign categories, and vital sign category tags are respectively added;
S2, acquiring case links issued by a user side;
s3, calling the cases in the case library, and screening out a target simulation monitoring end based on the mapping relation between the agreed vital sign categories and the simulation monitoring end;
s4, creating corresponding target case information according to the target simulation monitoring end;
S5, establishing a WebSocket connection between the server and the target simulation monitoring end, and sending the target case information to the target simulation monitoring end for display.
Further, the step S3 specifically includes:
S301, constructing a mapping relation list of vital sign categories and an analog monitoring end;
S302, extracting vital sign categories contained in the waveform parameter data packet, and comparing the vital sign categories with the vital sign categories in the mapping relation list in a similarity mode to obtain a simulation monitoring end corresponding to the vital sign category with the highest vital sign category similarity, wherein the simulation monitoring end is marked as a target simulation monitoring end;
S303, judging whether the vital sign category mapped by the target simulation monitoring end contains all vital sign categories in the waveform parameter data packet, if yes, executing step S304, if not, extracting the non-contained vital sign category, and comparing the similarity with the vital sign category in the mapping relation list to obtain a simulation monitoring end mark corresponding to the vital sign category with the highest similarity of the non-contained vital sign category as a secondary target simulation monitoring end;
S304, judging whether the vital sign category mapped by the target simulation monitoring end contains all vital sign categories in the physiological parameter data packet, if yes, executing step S305, if not, extracting the vital sign category which is not contained, and comparing the vital sign category with the vital sign category in the mapping relation list in a similarity manner to obtain a simulation monitoring end mark corresponding to the vital sign category which is not contained and has the highest vital sign category similarity as a secondary target simulation monitoring end;
S305, marking the target simulation monitoring end as a main target simulation monitoring end.
Further, the step S4 specifically includes:
s401, respectively placing the patient information data packet, the physiological parameter data packet and the waveform parameter data packet in the case into a message queue for temporary storage;
S402, extracting the waveform parameter data packet, the physiological parameter data packet and the corresponding case information in the patient information data packet from a message queue according to the vital sign category corresponding to the target simulation monitoring end, and combining the waveform parameter data packet, the physiological parameter data packet and the corresponding case information in the patient information data packet to form target case information of the target simulation monitoring end.
Further, the step S5 specifically includes:
s501, a server side invokes a device identification ID of a target analog monitoring side, and establishes WebSocket communication connection with the device identification ID;
S502, pushing the data packet to the target simulation monitoring end according to the attribute of the data packet contained in the target case information and the agreed sending frequency;
S503, the target simulation monitoring end receives, analyzes and outputs the target case information.
Further, step S501 further includes step S5011 of detecting, in real time, a WebSocket connection state between the server and the target analog monitoring end, and if it is detected that the target analog monitoring end is disconnected from the server, reestablishing connection.
Further, step S503 includes step S5031, where it is determined whether the received case information is consistent with the target case information, and if so, the display is output, if not, it is further determined whether the case information is missing, and if not, the missing case information is pushed again, and if not, the display is output.
Further, step S6 is included, the case links are obtained in real time, whether the case links are updated or not is judged, and if the case links are updated, the step S3 is executed in a returning mode.
The application also provides a monitoring display simulation system for medical teaching, which comprises a server, a user and at least one simulation monitoring end, wherein the server comprises a case library, a central control module, a screening module, a case creation module and a data transmission module, and the monitoring display simulation system comprises the following components:
the user end is used for linking the morbidity case to the server end;
the system comprises a case library, a patient information data packet, a physiological parameter data packet, a waveform parameter data packet, a physical parameter data and a waveform parameter data packet, wherein the case library is used for storing cases in a subpackage mode according to patient information, physiological parameters and waveform parameters to form the patient information data packet, the physiological parameter data packet and the waveform parameter data packet, and respectively adding attribute tags;
the screening module is used for agreeing the mapping relation between vital sign categories and the at least one simulation monitoring end, calling cases in the case library based on case links issued by the user end, and screening out target simulation monitoring ends;
The case creation module creates corresponding target case information according to the target simulation monitoring end;
The data transmission module is used for establishing WebSocket connection between the server and the target simulation monitoring end and sending the target case information corresponding to the target simulation monitoring end;
The central control module is used for creating the case library, controlling the screening module, the case creation module and the data transmission module in the process, and setting the system of the user side and the at least one analog monitoring side.
The method comprises the specific processes of establishing corresponding target case information, namely, respectively placing the patient information data packet, the physiological parameter data packet and the waveform parameter data packet in a case into a message queue for temporary storage, respectively extracting corresponding data in the physiological parameter data packet and the waveform parameter data packet corresponding to vital sign types according to the vital sign types corresponding to the target simulation monitoring end, and extracting the patient information data packet to form target case information required by the target simulation monitoring end.
Furthermore, the at least one analog monitoring end is respectively provided with a unique equipment identification ID, and the server side establishes one-to-one communication connection with the target analog monitoring end by calling the equipment identification ID of the target analog monitoring end, so that messages can be mutually sent to the other side at the same time, and bidirectional real-time transmission of the messages is realized.
Further, the system also comprises a communication monitoring module for monitoring the connection of the server side and the WebSocket of the target simulation monitoring side in real time.
The beneficial effects of the application are as follows:
According to the application, the cases in the case library are sub-packaged and stored according to the data expression form and the storage format to form data packets with different attributes, vital sign category labels are established, and meanwhile, a mapping relation is established with the analog monitoring end, when the case monitoring information is displayed, the target analog monitoring end can be determined according to the corresponding relation, so that the automatic identification and opening of the analog monitoring end are realized, the unnecessary analog monitoring end is prevented from being opened, the resource waste is reduced, meanwhile, the corresponding data packet information is extracted according to the display interface of the target analog monitoring end, the transceiving of the data quantity is effectively controlled, the channel congestion is avoided, the communication smoothness is ensured, and the data packet loss phenomenon is effectively reduced.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all, embodiments of the present application, and all other embodiments obtained by persons skilled in the art without making creative efforts based on the embodiments of the present application are all within the protection scope of the present application.
As shown in fig. 1, an embodiment of the present application provides a monitoring display simulation method for medical teaching, including the following steps:
s1, establishing a case library,
In this embodiment, step S1 is a basic step of the method, and provides key data support for the steps of obtaining case links, screening target analog monitoring ends, determining target case information and the like, where the recorded cases in the case library can be clinical classical case information, case information written by experienced medical workers, teachers and the like, or vital sign data information obtained by the acquisition device, and in general, the case information not only includes patient information, such as name, age, height, weight, gender and the like, but also includes physiological parameter data of each vital sign of the patient under the condition, and waveform parameter curve and the like for representing physiological parameters of each vital sign. As shown in fig. 2, taking a PICCO monitor (hemodynamic monitor) interface as an example, the PICCO monitor (hemodynamic monitor) interface displays patient information such as height, weight and the like, and also includes physiological parameter information such as HR heart rate (86), AP blood pressure (132/71), MAP mean arterial pressure (91), CVP central venous pressure (9), PCCI cardiac output index (4.52) and the like, and further includes dynamic waveform curves related to physiological parameters, the interface has different expression forms, and the data types and storage formats thereof are also different, so as to, as shown in fig. 3, the cases in the case library are sub-packaged and stored according to the patient information, the physiological parameters and the waveform parameters to form a patient information data packet, a physiological parameter data packet and a waveform parameter data packet, and attribute tags are respectively added, meanwhile, a plurality of vital signs are often included in one case, and different vital sign types are also different in the physiological parameter data packet and the waveform parameter data packet, and the waveform parameter data are respectively added with body sign type tags for different physiological parameters and vital signs including but not limited to heart rate, blood pressure, blood oxygen, heart electricity, pulse electricity, muscle electricity, heart blood-temperature and the like;
S2, obtaining case links issued by the user side,
The user can link the disease cases through the user side, can be devices such as a tablet, a computer and a mobile phone, and can also be other display devices with operation interfaces;
s3, calling the cases in the case library, screening out a target simulation monitoring end based on the mapping relation between the contracted vital sign category and the simulation monitoring end,
In general, different monitors display different vital sign information, in step S3, the screening of a target analog monitoring end required by a current issuing case is mainly related to, by mapping and binding the vital sign category and the analog monitoring end in advance, and by reading the vital sign category in the case, the target analog monitoring end is judged, so that the corresponding target analog monitoring end is adaptively started according to the vital sign category contained in the case;
s4, creating corresponding target case information according to the target simulation monitoring end,
Different monitors have different display interfaces and different required data information, so that the data information to be transmitted is determined through the target simulation monitoring end, the target case information corresponding to the target simulation monitoring end is formed, the screening, extraction and transmission of data are realized, the transmission of unnecessary data is filtered, the data volume is reduced, and the data transmission congestion of a communication channel can be effectively prevented;
S5, establishing WebSocket connection between the server and the target simulation monitoring end, and sending the target case information to the target simulation monitoring end for display.
In this embodiment, as shown in fig. 4, step S3 specifically includes:
S301, constructing a mapping relation list of vital sign categories and an analog monitoring end;
S302, extracting vital sign categories contained in the waveform parameter data packet, and comparing the vital sign categories with the vital sign categories in the mapping relation list to obtain a simulation monitoring end corresponding to the vital sign category with the highest vital sign category similarity, and marking the simulation monitoring end as a target simulation monitoring end;
S303, judging whether the vital sign categories mapped by the target simulation monitoring end contain all vital sign categories in the waveform parameter data packet, if yes, executing step S304, if not, extracting the vital sign categories which are not contained, and carrying out similarity comparison with the vital sign categories in the mapping relation list to obtain a simulation monitoring end mark corresponding to the vital sign category which is not contained and has the highest similarity of the vital sign categories as a secondary target simulation monitoring end;
S304, judging whether the vital sign categories mapped by the target simulation monitoring end contain all vital sign categories in the physiological parameter data packet, if yes, executing step S305, if not, extracting the vital sign categories which are not contained, and comparing the vital sign categories with the vital sign categories in the mapping relation list in a similarity manner to obtain a simulation monitoring end mark corresponding to the vital sign category which is not contained and has the highest vital sign category similarity as a secondary target simulation monitoring end;
s305, marking the current target simulation monitoring end as a main target simulation monitoring end.
Through step S3, the vital sign types included in the lower morbidity case and the corresponding target simulation monitoring end can be covered comprehensively, so that the case information can be displayed comprehensively, and operations such as adding and removing the screened main target simulation monitoring end and the screened secondary target simulation monitoring end can be performed, so that the monitoring information can be displayed as required.
In this embodiment, as shown in fig. 5, step S4 specifically includes:
s401, respectively placing patient information data packets and physiological parameter data packets in the cases into message queues for temporary storage;
S402, extracting waveform parameter data packets from the message queue according to vital sign categories mapped by the target simulation monitoring end, and combining corresponding case information in the physiological parameter data packets and the patient information data packets to form target case information of the target simulation monitoring end.
As shown in fig. 6, the data in the patient information data packet, the physiological parameter data packet and the waveform parameter data packet are respectively put into the queue 1, the queue 2 and the queue 3 of the message queue, and according to the vital sign types mapped by different target simulation monitoring ends, the corresponding vital sign type data packet is respectively extracted from the message queue to form the target case information corresponding to the target simulation monitoring end, when the next occurrence corresponds to a plurality of target simulation monitoring ends, including the main target simulation monitoring end and the secondary simulation monitoring end, vital sign type data in respective mapping relations are respectively and correspondingly extracted to generate corresponding target case information, for example, in the case of some intensive care, a plurality of monitoring devices can be simultaneously used to monitor different vital signs.
In this embodiment, as shown in fig. 7, step S5 specifically includes:
s501, a server side invokes a device identification ID of a target analog monitoring side, and establishes WebSocket communication connection with the device identification ID;
s502, pushing the data packet to a target simulation monitoring end according to the attribute of the data packet contained in the target case information and the agreed sending frequency;
s503, the target simulation monitoring end receives and analyzes the target case information and outputs and displays the target case information.
In this embodiment, all data in the case information adopts the Json protocol format, the case information in the data packet is divided into three attributes of patient information, physiological parameters and waveform parameters by attribute differentiation of the keyword type, and tags are added, and different data packets have different data and are used for different display frequencies of the monitoring end, so that the sending frequency is agreed according to the different data packet attributes:
Patient information data packets, a packet of data packets is sent when a communication link is created;
the physiological parameter data packet is based on the physiological parameter data change, and is sent when the physiological parameter data change;
The waveform parameter data packet is different in sending frequency according to different vital sign types, and the sending frequency of the waveform parameter data packet is determined by agreeing the corresponding relation between the vital sign types and the sending frequency.
In this embodiment, step S501 further includes step S5011 of detecting, in real time, that the server is connected to the WebSocket of the target analog monitoring end, and if it is detected that the target analog monitoring end is disconnected from the server, returning to reestablish connection.
In this embodiment, step S503 further includes step S5031, where it is determined whether the case information received by the target analog monitoring end is consistent with the target case information, and if so, the display is output, and if not, it is further determined whether the case information is missing, and if not, the missing case information is pushed again, and if not, the display is output. The consistency of data transmission can be ensured through the step.
In this embodiment, step S6 is further included, in which case links are acquired in real time, whether the case links are updated is determined, and if updated, step S3 is executed again. The case links may be new case simulation of different case scenarios that are redelivered, or new case parameter changes that result from medical intervention of the current case.
The application provides a monitoring display simulation method for medical teaching, which has the following working principle that the target simulation monitoring end is screened out by judging the mapping relation between the vital sign category and the simulation monitoring end and judging the vital sign category label contained in the issued case, and corresponding case information is extracted according to the interface display requirement of the target simulation monitoring end, and the target case information is created and sent to the target simulation monitoring end for display, thereby realizing the self-adaptive opening of the simulation monitoring end and the self-adaptive issuing of the case, reducing the communication quantity and ensuring the stability of communication.
As shown in fig. 8 to fig. 9, the embodiment of the application further provides a monitoring display simulation system for medical teaching, which comprises a server, a user and at least one simulation monitoring end, wherein the server comprises a case library, a central control module, a screening module, a case creation module and a data transmission module, and the monitoring display simulation system comprises:
The client is used for linking the morbidity case to the server;
The system comprises a case library, a data storage and a storage module, wherein the case library is used for storing cases in a subpackage mode according to patient information, physiological parameters and waveform parameters to form a patient information data packet, a physiological parameter data packet and a waveform parameter data packet, and respectively adding attribute tags;
The screening module is used for agreeing the mapping relation between vital sign categories and at least one simulation monitoring end, calling case information in a case library based on case links issued by the user end, and screening out a target simulation monitoring end through vital sign category labels contained in the cases;
The case creation module filters other case information irrelevant to the display of the target simulation monitoring end according to different target simulation monitoring ends, creates corresponding target case information, specifically, different interfaces displayed by different simulation monitoring ends are different, after the target simulation monitoring end is determined, the patient information data packet, the physiological parameter data packet and the waveform parameter data packet in the case are respectively put into a message queue for temporary storage, and according to the vital sign category corresponding to the target simulation monitoring end, the corresponding data in the physiological parameter data packet and the waveform parameter data packet corresponding to the vital sign category are respectively extracted, and the patient information data packet is extracted to be combined into the target case information required by the target simulation monitoring end;
The data transmission module is used for establishing a WebSocket connection between the server and the target simulation monitoring end, sending target case information corresponding to the target simulation monitoring end, wherein each simulation monitoring end is respectively provided with a unique equipment identification ID, and the server can establish one-to-one communication connection with the WebSocket by calling the equipment identification ID of the target simulation monitoring end, and can mutually send messages to the opposite side at the same time to realize bidirectional real-time transmission of the messages;
The central control module is used for creating a case library, controlling the processes of the screening module, the case creation module and the data transmission module, and setting authority and a system of a user side and at least one simulation monitoring side.
In this embodiment, the system further includes a communication monitoring module, where the real-time detection server is connected to the WebSocket of the target analog monitoring end.
In this embodiment, a dummy with vital sign parameters may be further connected, and the target dummy monitoring end displays the dummy vital sign information in real time, as shown in fig. 10, and yet another embodiment of the present application provides a monitoring display simulation system for medical teaching, where the system includes a user end, a dummy and multiple dummy monitoring ends, the user end is set as a mobile phone, a tablet computer, a notebook computer, and other devices, the service end may be integrated on the user end and also on the dummy, the dummy performs the simulation of vital signs according to the case, and at the same time, the service end retrieves the case information in the case library according to the lower case, screens out the target dummy monitoring end according to the corresponding vital sign category, and generates the corresponding target case information according to the interface display requirement combination required by the target dummy monitoring end, and sends the target dummy monitoring end to display.