CN117174231A - Intelligent medical record management system - Google Patents
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Abstract
The application relates to an intelligent medical record management system, which is used for acquiring audio data of a doctor and a patient through a voice acquisition device and sending the audio data to a background server in real time when the doctor knows the illness state of the patient; the background server carries out voice recognition on the audio data by using a ChatGPT tool deployed in the background to obtain disease inquiry information and forwards the disease inquiry information to the HIS system through the background server; the HIS system sends the disease inquiry information to a medical record browsing module in real time; and the medical record browsing module receives the disease inquiry information and displays the disease inquiry information to a doctor. According to the method, the inquiry information in the diagnosis and disease process is automatically generated through the ChatGPT related technology, after a doctor confirms, the inquiry information of the disease condition can be automatically written into the called electronic medical record template, so that a corresponding medical record document is quickly generated, the doctor does not need to manually input the information of the disease condition, the input time of the doctor is saved, and the inquiry efficiency is improved.
Description
Technical Field
The disclosure relates to the technical field of intelligent medical management, in particular to an intelligent medical record management system, an application method and electronic equipment.
Background
With the advent of intelligent electronic medical record management systems, medical staff has saved a large amount of inquiry time. The intelligent electronic medical record is suitable for recording, managing and counting medical records, realizes medical record template resource sharing of hospitals nationwide, is convenient, quick and efficient in medical record writing, and enables doctors to be relieved from heavy manual work.
Fig. 1 is a schematic diagram of an application architecture of an existing intelligent electronic medical record management system. An administrator or user may invoke the electronic medical record template in the intelligent electronic medical record management system to generate an electronic record of patient interrogation of the patient. When the electronic medical record system is used, an electronic medical record template can be directly called, an electronic medical record list is generated for a patient according to the collected information, and the electronic medical record of the patient is checked and modified through the patient visit ID.
In clinical inquiry, although an intelligent electronic medical record management system is used for assisting medical staff in generating the treatment information of patients, the following problems exist in the clinical acquisition process:
when the doctor and the patient interact and inquire, the doctor and the patient talk to know the illness state, the doctor needs to record and input a clinical medical record document according to the known inquiry information, and the known illness state is generally input into the intelligent electronic medical record management system in a document typing mode, so that the intelligent electronic medical record management system records the inquiry information of the illness state known by the doctor. In the process, the doctor inputs the information while asking for each condition, and stops the information of each condition until the information is known. Therefore, a doctor needs to spend a plurality of input times, the known patient condition is input into the intelligent electronic medical record management system by a manual input mode, and the process needs to spend too much time for the doctor to input records, so that the timeliness of inquiry is reduced.
Disclosure of Invention
In order to solve the problems, the application provides an intelligent medical record management system, an application method and electronic equipment.
In one aspect of the present application, an intelligent medical record management system is provided, comprising:
the voice collector is used for collecting audio data of a doctor and a patient and sending the audio data to the background server in real time when the doctor knows the illness state of the patient;
the background server is used for forwarding the collected audio data of doctors and patients to a ChatGPT tool deployed in the background; after obtaining the confirmation instruction input by the doctor, invoking the electronic medical record template;
the ChatGPT tool is used for carrying out voice recognition on the audio data to obtain disease inquiry information and transmitting the information to the HIS system through the background server;
the HIS system is used for sending the disease inquiry information to the medical record browsing module in real time;
and the medical record browsing module is used for receiving the disease inquiry information, displaying the disease inquiry information to a doctor, waiting for the confirmation of the doctor and inputting a confirmation instruction to the background server.
As an optional embodiment of the present application, optionally, further comprising:
an electronic medical record module for:
and storing an electronic medical record template, and feeding back the stored electronic medical record template to the background server after receiving a template retrieval instruction issued by the background server.
As an optional embodiment of the present application, optionally, the background server is further configured to:
after obtaining a confirmation instruction input by a doctor, issuing a template calling instruction to the electronic medical record module;
the method comprises the steps of,
and when the electronic medical record template fed back by the electronic medical record module is obtained, forwarding the electronic medical record template to the HIS system.
As an optional embodiment of the present application, optionally, the HIS system is further configured to:
receiving and storing the electronic medical record module;
writing the disease inquiry information into a corresponding table in the electronic medical record module;
after the condition inquiry information of the current time is recorded, generating an electronic medical record corresponding to the patient;
and sending and displaying the electronic medical record in the medical record browsing module.
As an optional embodiment of the present application, optionally, further comprising:
a background database for:
when the background server receives the audio data of doctors and patients sent by the voice collector, the audio data is stored in real time;
the method comprises the steps of,
and when the HIS system generates the electronic medical record corresponding to the patient, storing the electronic medical record in real time.
As an optional embodiment of the present application, optionally, the background server is further configured to:
after the chatGPT tool automatically generates the corresponding disease inquiry information by using a chatGPT technology, carrying out text recognition on the disease inquiry information, and extracting disease keywords in the disease inquiry information;
calling a background text marking component to automatically mark the illness keywords in the illness state inquiry information;
after marking, generating a data packet of the disease inquiry information, and forwarding the data packet to the HIS system.
As an optional embodiment of the present application, optionally, the HIS system is further configured to:
receiving a data packet of the disease inquiry information, analyzing the data packet to obtain disease inquiry text information with disease keyword marks, and sending the disease inquiry text information with the disease keyword marks to the medical record browsing module;
the medical record browsing module is further configured to: and receiving and displaying the disease inquiry text information, and highlighting the disease keywords in the disease inquiry text information by adopting color marks.
In another aspect of the present application, an application method of an intelligent medical record management system is provided, including the following steps:
when a doctor knows the illness state of a patient, the voice data of the doctor and the patient are collected through a voice collector and sent to a background server in real time;
the background server transmits the collected audio data of doctors and patients to a ChatGPT tool deployed in the background, and the ChatGPT tool carries out voice recognition on the audio data to obtain information of disease inquiry and transmits the information to the HIS system through the background server;
the HIS system sends the disease inquiry information to a medical record browsing module in real time;
the medical record browsing module receives the disease inquiry information, displays the disease inquiry information to a doctor, waits for the doctor to confirm and inputs a confirmation instruction to the background server;
after obtaining a confirmation instruction input by a doctor, the background server issues a template calling instruction to the electronic medical record module to call the electronic medical record template;
after receiving a template fetching instruction issued by the background server, the electronic medical record module feeds back the stored electronic medical record template to the background server;
the background server forwards the electronic medical record template to the HIS when obtaining the electronic medical record template fed back by the electronic medical record module;
the HIS system writes the disease inquiry information into a corresponding table in the electronic medical record module; after the condition inquiry information of the current time is recorded, generating an electronic medical record corresponding to the patient; and sending and displaying the electronic medical record in the medical record browsing module.
In another aspect, the present application further provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the application method when executing the executable instructions.
The application has the technical effects that:
according to the intelligent medical record management system provided by the application, when a doctor knows the illness state of a patient, the voice collector is used for collecting the audio data of the doctor and the patient and sending the audio data to the background server in real time; the background server carries out voice recognition on the audio data by using a ChatGPT tool deployed in the background to obtain disease inquiry information and forwards the disease inquiry information to the HIS system through the background server; the HIS system sends the disease inquiry information to a medical record browsing module in real time; and the medical record browsing module receives the disease inquiry information and displays the disease inquiry information to a doctor. According to the method, the inquiry information in the diagnosis and disease process is automatically generated through the ChatGPT related technology, after a doctor confirms, the inquiry information of the disease condition can be automatically written into the called electronic medical record template, so that a corresponding medical record document is quickly generated, the doctor does not need to manually input the information of the disease condition, the input time of the doctor is saved, and the inquiry efficiency is improved.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic diagram of an application architecture of an intelligent electronic medical record management system of the present application;
FIG. 2 is a schematic diagram of an application system of the intelligent medical record management system of the present application;
FIG. 3 is a schematic diagram illustrating an application for retrieving an electronic medical record template in accordance with the present application;
fig. 4 shows a schematic application diagram of the electronic device of the application.
Detailed Description
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, well known means, elements, and circuits have not been described in detail so as not to obscure the present disclosure.
Example 1
As shown in fig. 2, in one aspect of the present application, an intelligent medical record management system is provided, including:
the voice collector is used for collecting audio data of a doctor and a patient and sending the audio data to the background server in real time when the doctor knows the illness state of the patient;
the background server is used for forwarding the collected audio data of doctors and patients to a ChatGPT tool deployed in the background; after obtaining the confirmation instruction input by the doctor, invoking the electronic medical record template;
the ChatGPT tool is used for carrying out voice recognition on the audio data to obtain disease inquiry information and transmitting the information to the HIS system through the background server;
the HIS system is used for sending the disease inquiry information to the medical record browsing module in real time;
and the medical record browsing module is used for receiving the disease inquiry information, displaying the disease inquiry information to a doctor, waiting for the confirmation of the doctor and inputting a confirmation instruction to the background server.
When doctors and patients talk to know the illness state, the voice collector similar to the ear-wheat collector is adopted to collect the talk content between the doctors and the patients and conduct voice recognition, and based on big data, the related technology of ChatGPT is used for automatically generating illness state inquiry information for diagnosing and curing the illness state, and corresponding electronic medical record documents are generated, so that the time-consuming problem that the doctors need to manually input the illness state inquiry information during inquiry is solved.
The intelligent medical record management system can be used for technical upgrading on the existing electronic medical record management system for emergency treatment. The application architecture of the medical record management system shown in fig. 1 can be utilized, further application implementation is performed, the corresponding ChatGPT tool can be configured on the background by the background, and meanwhile, each function of the electronic medical record template of the system can be called by the HIS system: a use function, a medical record writing function and a medical record browsing function.
On a background server, the collected voice is recognized by a voice recognition ChatGPT tool to obtain voice information of a patient's condition inquiry and interaction with the patient, a headset collector or other voice collectors collect voice audio information and upload the voice audio information to the background, and the background transmits the audio to a voice recognition module such as the ChatGPT tool for voice recognition to obtain real-time talking content.
In the voice recognition, the condition keywords in the talking content can be further obtained based on text recognition, keyword recognition and other modes, and the inquiry information only containing the keywords is generated and then forwarded to the application layer of the platform by the HIS system. For example, the information is sent to a medical record browsing module for browsing, so that a doctor can see whether the keywords collected by the current illness state are correct, if yes, the doctor can input a corresponding confirmation instruction to a background server, a corresponding electronic medical record template is called on the background, and the extracted illness state inquiry information such as the keywords is automatically written into the self-medical record template to generate a corresponding electronic medical record.
Therefore, by adopting the mode and adopting the voice recognition mode, the recognized illness state text information is automatically written into the electronic medical record template to generate the corresponding electronic medical record document, so that manual input by doctors is not needed, and the time is saved.
As shown in fig. 3, as an alternative embodiment of the present application, optionally, further includes:
an electronic medical record module for:
and storing an electronic medical record template, and feeding back the stored electronic medical record template to the background server after receiving a template retrieval instruction issued by the background server.
As shown in fig. 3, as an alternative embodiment of the present application, optionally, the background server is further configured to:
after obtaining a confirmation instruction input by a doctor, issuing a template calling instruction to the electronic medical record module;
the method comprises the steps of,
and when the electronic medical record template fed back by the electronic medical record module is obtained, forwarding the electronic medical record template to the HIS system.
One of the electronic medical record templates may be invoked.
The background server can issue a calling instruction to the electronic medical record module after the confirmation of the doctor is obtained, the electronic medical record module responds to the instruction, the stored electronic medical record template is sent to the HIS system, and the HIS system automatically writes the identified and generated disease inquiry information into a corresponding table of the electronic medical record module. For example, the illness state is automatically written into illness state description forms in the character electronic medical record module, the specific writing can be automatically matched with the attribute of each form in the electronic medical record module according to the type of illness state information, the automatic filling is carried out,
as an optional embodiment of the present application, optionally, the HIS system is further configured to:
receiving and storing the electronic medical record module;
writing the disease inquiry information into a corresponding table in the electronic medical record module;
after the condition inquiry information of the current time is recorded, generating an electronic medical record corresponding to the patient;
and sending and displaying the electronic medical record in the medical record browsing module.
After the voice interaction of the present time is completed, all inquiry information can be recorded, the electronic medical record of the present patient is generated, meanwhile, whether the doctor confirms whether the electronic medical record is wrong or not or whether manual modification is needed or not can be displayed, and if the doctor is needed to manually modify, the doctor logs in a background server through a terminal to modify the electronic medical record.
As an optional embodiment of the present application, optionally, further comprising:
a background database for:
when the background server receives the audio data of doctors and patients sent by the voice collector, the audio data is stored in real time;
the method comprises the steps of,
and when the HIS system generates the electronic medical record corresponding to the patient, storing the electronic medical record in real time.
The application of the background database can be that the corresponding data is generated by the background server or the HIS system and then stored in real time.
As an optional embodiment of the present application, optionally, the background server is further configured to:
after the chatGPT tool automatically generates the corresponding disease inquiry information by using a chatGPT technology, carrying out text recognition on the disease inquiry information, and extracting disease keywords in the disease inquiry information;
calling a background text marking component to automatically mark the illness keywords in the illness state inquiry information;
after marking, generating a data packet of the disease inquiry information, and forwarding the data packet to the HIS system.
After the ChatGPT tool recognizes the corresponding condition inquiry content generated by the voice, the condition inquiry content can be sent to the background server, and the background server can also use a text recognition technology, such as a text recognition algorithm, to recognize and extract keywords from the text content of the condition inquiry information. The keywords may be tagged with a text tagging component, such as a tagging component on a computer or a background server processing the document (such as a tagging component for Word), and the tagged keywords may be generated into a data packet and sent to the HIS system.
When the marked keywords are displayed later, the marked keywords can be displayed in different marking characteristics, for example, different colors, so that the keywords for reminding doctors of disease descriptions can be displayed, the doctors can be reminded of viewing the disease keywords of the current patients quickly, and texts can be generated quickly according to the disease keywords.
As an optional embodiment of the present application, optionally, the HIS system is further configured to:
receiving a data packet of the disease inquiry information, analyzing the data packet to obtain disease inquiry text information with disease keyword marks, and sending the disease inquiry text information with the disease keyword marks to the medical record browsing module;
the medical record browsing module is further configured to: and receiving and displaying the disease inquiry text information, and highlighting the disease keywords in the disease inquiry text information by adopting color marks.
The HIS system can obtain keywords in the text after the data packet is analyzed, and the keywords are provided with characteristic marks, and then the marked disease keywords can be displayed in a medical record browsing module.
The specific keyword is identified and marked, and the color marking is performed, the color display can be realized by the color display function of the pathology browsing module, when the medical record browsing module finds that the text information has marked text features, the attribute of the marked features is identified, and the corresponding feature display component is called to perform feature marking and display on the marked keywords (such as automatic identification and display of Word marks).
Therefore, the application automatically generates the inquiry information in the diagnosis and disease process through the ChatGPT related technology, and after a doctor confirms, the inquiry information of the disease condition can be automatically written into the called electronic medical record template, so that the corresponding medical record document is quickly generated, the doctor is not required to manually input the disease condition information, the input time of the doctor is saved, and the inquiry efficiency is improved.
The speech recognition and text recognition techniques in this embodiment may be implemented by using a corresponding speech recognition algorithm, text recognition algorithm, or the like, and the specific algorithm is not limited in this embodiment.
It should be apparent to those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. It will be appreciated by those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. The storage medium may be a magnetic disk, an optical disc, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a flash memory (flash memory), a hard disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Example 2
Based on the implementation principle of embodiment 1, in another aspect of the present application, an application method of an intelligent medical record management system is provided, including the following steps:
when a doctor knows the illness state of a patient, the voice data of the doctor and the patient are collected through a voice collector and sent to a background server in real time;
the background server transmits the collected audio data of doctors and patients to a ChatGPT tool deployed in the background, and the ChatGPT tool carries out voice recognition on the audio data to obtain information of disease inquiry and transmits the information to the HIS system through the background server;
the HIS system sends the disease inquiry information to a medical record browsing module in real time;
the medical record browsing module receives the disease inquiry information, displays the disease inquiry information to a doctor, waits for the doctor to confirm and inputs a confirmation instruction to the background server;
after obtaining a confirmation instruction input by a doctor, the background server issues a template calling instruction to the electronic medical record module to call the electronic medical record template;
after receiving a template fetching instruction issued by the background server, the electronic medical record module feeds back the stored electronic medical record template to the background server;
the background server forwards the electronic medical record template to the HIS when obtaining the electronic medical record template fed back by the electronic medical record module;
the HIS system writes the disease inquiry information into a corresponding table in the electronic medical record module; after the condition inquiry information of the current time is recorded, generating an electronic medical record corresponding to the patient; and sending and displaying the electronic medical record in the medical record browsing module.
The implementation of the above application method is not limited, please refer to the application principle description of embodiment 1, and the description of this embodiment is omitted.
The modules or steps of the present application described above may be implemented in a general-purpose computing application, they may be concentrated on a single computing application, or distributed over a network of computing applications, or they may alternatively be implemented in program code executable by a computing application, so that they may be stored in a storage application to be executed by a computing application, or they may be fabricated separately as individual integrated circuit modules, or a plurality of modules or steps in them may be fabricated as a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
Example 3
As shown in fig. 4, in still another aspect, the present application further provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the application method when executing the executable instructions.
Embodiments of the present disclosure provide for an electronic device that includes a processor and a memory for storing processor-executable instructions. Wherein the processor is configured to implement the application method described in the previous embodiment 2 when executing the executable instructions.
Here, it should be noted that the number of processors may be one or more. Meanwhile, in the electronic device of the embodiment of the disclosure, an input application method and an output application method may be further included. The processor, the memory, the input application method, and the output application method may be connected through a bus, or may be connected through other manners, which is not specifically limited herein.
The memory is a computer-readable storage medium that can be used to store software programs, computer-executable programs, and various modules, such as: program or module corresponding to the application method of the embodiment of the disclosure. The processor executes various functional applications and data processing of the electronic device by running software programs or modules stored in the memory.
The input application method may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings of the device/terminal/server and function control. The output application method may include a display device such as a display screen.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (9)
1. An intelligent medical record management system, comprising:
the voice collector is used for collecting audio data of a doctor and a patient and sending the audio data to the background server in real time when the doctor knows the illness state of the patient;
the background server is used for forwarding the collected audio data of doctors and patients to a ChatGPT tool deployed in the background; after obtaining the confirmation instruction input by the doctor, invoking the electronic medical record template;
the ChatGPT tool is used for carrying out voice recognition on the audio data to obtain disease inquiry information and transmitting the information to the HIS system through the background server;
the HIS system is used for sending the disease inquiry information to the medical record browsing module in real time;
and the medical record browsing module is used for receiving the disease inquiry information, displaying the disease inquiry information to a doctor, waiting for the confirmation of the doctor and inputting a confirmation instruction to the background server.
2. The intelligent medical record management system of claim 1, further comprising:
an electronic medical record module for:
and storing an electronic medical record template, and feeding back the stored electronic medical record template to the background server after receiving a template retrieval instruction issued by the background server.
3. The intelligent medical record management system of claim 2, wherein the background server is further configured to:
after obtaining a confirmation instruction input by a doctor, issuing a template calling instruction to the electronic medical record module;
the method comprises the steps of,
and when the electronic medical record template fed back by the electronic medical record module is obtained, forwarding the electronic medical record template to the HIS system.
4. The intelligent medical record management system of claim 3, wherein the HIS system is further configured to:
receiving and storing the electronic medical record module;
writing the disease inquiry information into a corresponding table in the electronic medical record module;
after the condition inquiry information of the current time is recorded, generating an electronic medical record corresponding to the patient;
and sending and displaying the electronic medical record in the medical record browsing module.
5. The intelligent medical record management system of claim 1, further comprising:
a background database for:
when the background server receives the audio data of doctors and patients sent by the voice collector, the audio data is stored in real time;
the method comprises the steps of,
and when the HIS system generates the electronic medical record corresponding to the patient, storing the electronic medical record in real time.
6. The intelligent medical record management system of claim 1, wherein the background server is further configured to:
after the chatGPT tool automatically generates the corresponding disease inquiry information by using a chatGPT technology, carrying out text recognition on the disease inquiry information, and extracting disease keywords in the disease inquiry information;
calling a background text marking component to automatically mark the illness keywords in the illness state inquiry information;
after marking, generating a data packet of the disease inquiry information, and forwarding the data packet to the HIS system.
7. The intelligent medical record management system of claim 6, wherein the HIS system is further configured to:
receiving a data packet of the disease inquiry information, analyzing the data packet to obtain disease inquiry text information with disease keyword marks, and sending the disease inquiry text information with the disease keyword marks to the medical record browsing module;
the medical record browsing module is further configured to: and receiving and displaying the disease inquiry text information, and highlighting the disease keywords in the disease inquiry text information by adopting color marks.
8. An application method of an intelligent medical record management system is characterized by comprising the following steps:
when a doctor knows the illness state of a patient, the voice data of the doctor and the patient are collected through a voice collector and sent to a background server in real time;
the background server transmits the collected audio data of doctors and patients to a ChatGPT tool deployed in the background, and the ChatGPT tool carries out voice recognition on the audio data to obtain information of disease inquiry and transmits the information to the HIS system through the background server;
the HIS system sends the disease inquiry information to a medical record browsing module in real time;
the medical record browsing module receives the disease inquiry information, displays the disease inquiry information to a doctor, waits for the doctor to confirm and inputs a confirmation instruction to the background server;
after obtaining a confirmation instruction input by a doctor, the background server issues a template calling instruction to the electronic medical record module to call the electronic medical record template;
after receiving a template fetching instruction issued by the background server, the electronic medical record module feeds back the stored electronic medical record template to the background server;
the background server forwards the electronic medical record template to the HIS when obtaining the electronic medical record template fed back by the electronic medical record module;
the HIS system writes the disease inquiry information into a corresponding table in the electronic medical record module; after the condition inquiry information of the current time is recorded, generating an electronic medical record corresponding to the patient; and sending and displaying the electronic medical record in the medical record browsing module.
9. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the application method of claim 8 when executing the executable instructions.
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| CN202311137159.3A CN117174231A (en) | 2023-09-05 | 2023-09-05 | Intelligent medical record management system |
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