CN117524430A - Operation information recording method and device based on AIGC large model - Google Patents

Operation information recording method and device based on AIGC large model Download PDF

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Publication number
CN117524430A
CN117524430A CN202311424202.4A CN202311424202A CN117524430A CN 117524430 A CN117524430 A CN 117524430A CN 202311424202 A CN202311424202 A CN 202311424202A CN 117524430 A CN117524430 A CN 117524430A
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China
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checking
information
anesthesia
patient
anesthesiologist
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Inventor
刘连峰
黄伟
谢冠超
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Yunzhisheng Xinyang Digital Technology Co ltd
Unisound Intelligent Technology Co Ltd
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Yunzhisheng Xinyang Digital Technology Co ltd
Unisound Intelligent Technology Co Ltd
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Priority to CN202311424202.4A priority Critical patent/CN117524430A/en
Publication of CN117524430A publication Critical patent/CN117524430A/en
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

In a preset operation checking link, broadcasting operation patient information through an operation checking client for confirming patient identity information of an operation doctor, an anesthesiologist and an operation nurse; checking the operation checking links according to the set checking sequence and the checking content, judging whether missing operation checking links exist or not, and if the missing operation checking links exist, carrying out voice prompt; processing voice information of the three parties in the whole operation process to finish the record of the checking content of the preset checking item; and distinguishing the identity of the three-party role from the corresponding content of the checking item through voiceprint recognition and semantic understanding, checking the content of the checking item which is jointly confirmed by the three-party, and prompting if the content of the checking item which is jointly confirmed to be executed is missing. The invention improves the operation efficiency and quality; save a large amount of time and provide complete, accurate and effective data for improving the quality of surgical treatment.

Description

Operation information recording method and device based on AIGC large model
Technical Field
The invention relates to the technical field of medical information processing, in particular to an AIGC (automatic guided vehicle) large model-based surgical information recording method and device.
Background
At present, in the operation process, medical staff is occupied with both hands, cannot record specific operation information of each link of the operation process, and fills in an operation checking record list after the operation is finished, so that time and labor are consumed, error record is easy to neglect, and especially, the complex and time-consuming operation is difficult to ensure the completeness and accuracy of information filling after the operation.
In practice, the operation checking record often becomes the workload of operators, is not beneficial to improving the operation and medical quality, and deviates from the original purpose of setting the operation checking record link. Because the operation information can not be recorded in real time in the operation process, after the operation is finished, the paper operation checking record list is checked, the operation information is recorded and then signed, and then the operation information is recorded into the operation anesthesia system of the hospital, and the operation checking record list is filled after the operation, so that error marks are easily missed, and the hidden operation quality hazards and the medical dispute risks exist.
Disclosure of Invention
Therefore, the invention provides an AIGC large model-based operation information recording method and device, which solve the problems that operation information cannot be recorded in real time in an operation process, an operation check record sheet is filled after operation, error record is easy to be missed, and operation quality hidden danger and medical dispute risk are easy to be generated.
In order to achieve the above object, the present invention provides the following technical solutions: an AIGC-based large model surgical information recording method, comprising:
in a preset operation checking link, broadcasting operation patient information through an operation checking client side so as to confirm patient identity information of an operation doctor, an anesthesia doctor and an operation nurse;
checking the operation checking links according to the set checking sequence and the checking content, judging whether missing operation checking links exist or not, and if the missing operation checking links exist, carrying out voice prompt;
processing voice information of three parties of a doctor, an anesthesiologist and a nurse in the whole operation process to finish the record of the checking content of a preset checking item;
and distinguishing the three-party character identities of the operating doctor, the anesthesiologist and the operating nurse from the corresponding checking item contents through voiceprint recognition and semantic understanding, checking the checking item contents jointly confirmed by the operating doctor, the anesthesiologist and the operating nurse, and prompting if the checking item contents jointly confirmed are missing.
As a preferable scheme of the surgery information recording method based on the AIGC large model, the surgery patient information broadcasted by the surgery checking client includes the patient name, sex, age, surgery name, anesthesia mode and surgery date.
As a preferred scheme of the AIGC-based large model operation information recording method, an operation checking link comprises an anesthesia implementation pre-checking, an operation starting pre-checking and a patient leaving pre-checking;
if the anesthesia information is acquired and the patient identity information is not acquired, checking and confirming the patient operation information voice prompt;
if the operation start and operation content information is collected and the anesthesia start information is not collected, checking and confirming the anesthesia implementation information voice prompt.
As a preferable mode of the operation information recording method based on the AIGC large model, if the current operation is an operation requiring no anesthesia by an anesthesiologist, three parties of the operating physician, anesthesiologist and operation nurse confirm that no anesthesia is performed.
As a preferred scheme of the operation information recording method based on the AIGC large model, before operation starts, checking whether related image data is needed or not, if yes, checking the remark of the data to be checked is necessary, voice prompt is carried out on the corresponding remark information if no, checking the remark of the data to be checked is unnecessary, and voice prompt is not carried out on the corresponding remark information if no;
checking the operation specimen confirmation before the patient leaves, if the record is "yes", the specimen going-to is necessary to be filled, and the missing specimen going-to information is subjected to voice prompt; if the operation specimen confirms that the record is ' none ', the check item of the specimen going to ' is unnecessary to fill, and the missing specimen going information does not carry out voice prompt.
As a preferred scheme of the operation information recording method based on the AIGC large model, after the operation is finished, a checking content recording form is directly printed, checked by an operation doctor, an anesthesiologist and an operation nurse, signed, and the checking content recording information is synchronized to the operation anesthesia system of the hospital.
The invention also provides an AIGC large model-based operation information recording device, which comprises:
the operation patient information confirmation module is used for broadcasting operation patient information through an operation checking client in a preset operation checking link so as to confirm patient identity information of an operation doctor, an anesthesiologist and an operation nurse;
the operation checking link checking module is used for checking operation checking links according to the set checking sequence and the checking content, judging whether missing operation checking links exist or not, and carrying out voice prompt if the missing operation checking links exist;
the operation checking content recording module is used for processing voice information of three parties of an operation doctor, an anesthesiologist and an operation nurse in the whole operation process and finishing the checking content recording of a preset checking item;
the identity information verification module is used for distinguishing the identities of three roles of the operating doctor, the anesthesiologist and the operating nurse from the corresponding verification item contents through voiceprint recognition and semantic understanding, verifying the verification item contents jointly confirmed and executed by the operating doctor, the anesthesiologist and the operating nurse, and prompting if the verification item contents jointly confirmed and executed are missing.
As a preferred scheme of the surgery information recording device based on the AIGC large model, in the surgery patient information confirmation module, surgery patient information broadcasted through the surgery checking client includes patient name, sex, age, surgery name, anesthesia mode and surgery date;
the operation checking link of the operation checking link checking module comprises checking before anesthesia is implemented, checking before operation is started and checking before a patient leaves;
if the anesthesia information is acquired and the patient identity information is not acquired, checking and confirming the patient operation information voice prompt;
if the operation start and operation content information is acquired and the anesthesia start information is not acquired, checking and confirming the anesthesia implementation information voice prompt;
in the operation checking link checking module, if the current operation is an operation which does not need anesthesia by an anesthesiologist, the anesthesiologist and the operation nurse confirm that the operation is performed without anesthesia.
As a preferred scheme of the surgery information recording device based on the AIGC big model, in the surgery checking link checking module, before surgery starts, checking whether the related image data is needed, if yes, checking the data remark, if no, checking the corresponding remark information, and if no, checking the data remark, and if no, checking the corresponding remark information, and not prompting the voice;
in the operation checking link checking module, before a patient leaves, checking that the operation specimen confirms, if the record is "yes", the specimen going-to is necessary to be filled, and voice prompt is carried out on missing specimen going-to information; if the operation specimen confirms that the record is ' none ', the check item of the specimen going to ' is unnecessary to fill, and the missing specimen going information does not carry out voice prompt.
As a preferred scheme of the operation information recording device based on the AIGC large model, the operation information recording device further comprises a verification content printing and synchronizing module which is used for directly printing a verification content recording form after operation is finished, checking and signing by an operation doctor, an anesthesiologist and an operation nurse, and synchronizing the verification content recording information to the operation anesthesia system of the hospital.
The invention has the following advantages: in a preset operation checking link, broadcasting operation patient information through an operation checking client side so as to confirm patient identity information of an operation doctor, an anesthesia doctor and an operation nurse; checking the operation checking links according to the set checking sequence and the checking content, judging whether missing operation checking links exist or not, and if the missing operation checking links exist, carrying out voice prompt; processing voice information of three parties of a doctor, an anesthesiologist and a nurse in the whole operation process to finish the record of the checking content of a preset checking item; and distinguishing the three-party character identities of the operating doctor, the anesthesiologist and the operating nurse from the corresponding checking item contents through voiceprint recognition and semantic understanding, checking the checking item contents jointly confirmed by the operating doctor, the anesthesiologist and the operating nurse, and prompting if the checking item contents jointly confirmed are missing. The invention can lead the operation doctor, the anesthesiologist and the operation nurse to concentrate on the operation, thereby improving the operation efficiency and the operation quality; saving a great deal of time for operating doctors, anesthesiologists and operating nurses, providing complete, accurate and effective data for improving the quality of operation treatment, ensuring the implementation of an operation safety check system and being beneficial to improving the quality management capability of hospital diagnosis and treatment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art from this disclosure that the drawings described below are merely exemplary and that other embodiments may be derived from the drawings provided without undue effort.
The structures, proportions, sizes, etc. shown in the present specification are shown only for the purposes of illustration and description, and are not intended to limit the scope of the invention, which is defined by the claims, so that any structural modifications, changes in proportions, or adjustments of sizes, which do not affect the efficacy or the achievement of the present invention, should fall within the scope of the invention.
FIG. 1 is a flow chart of a method for recording surgical information based on AIGC large model provided in embodiment 1 of the present invention;
FIG. 2 is a schematic diagram showing the operation information recording method based on AIGC large model according to embodiment 1 of the present invention
Fig. 3 is a schematic diagram of the architecture of the AIGC-based large model surgical information recording apparatus provided in embodiment 2 of the present invention.
Detailed Description
Other advantages and advantages of the present invention will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1 and 2, embodiment 1 of the present invention provides a surgical information recording method based on an AIGC large model, comprising the steps of:
s1, broadcasting operation patient information through an operation checking client in a preset operation checking link so as to confirm patient identity information of an operation doctor, an anesthesiologist and an operation nurse;
s2, checking the operation checking links according to the set checking sequence and the checking content, judging whether missing operation checking links exist, and if so, carrying out voice prompt;
s3, processing voice information of three parties of a doctor, an anesthesiologist and a nurse in the whole operation process to finish the record of the checking content of a preset checking item;
s4, distinguishing the identities of three roles of the doctor, the anesthesiologist and the nurse and the corresponding checking item contents through voiceprint recognition and semantic understanding, checking the checking item contents jointly confirmed by the doctor, the anesthesiologist and the nurse, and prompting if the checking item contents jointly confirmed are missing.
In this embodiment, in step S1, the operation patient information broadcasted by the operation checking client includes the patient name, sex, age, operation name, anesthesia mode, and operation date.
Specifically, in each operation checking link, patient information needs to be confirmed first, and operation checking clients are used for supporting voice broadcasting of operation patient information, such as patient name, sex, age, operation name, anesthesia mode, operation date and the like, so that three parties of an operation doctor, an anesthesia doctor and an operation nurse with medical qualification can conveniently confirm patient identity information.
In this embodiment, in step S2, the procedure checking links include checking before anesthesia is performed, checking before surgery begins, and checking before the patient leaves;
if the anesthesia information is acquired and the patient identity information is not acquired, checking and confirming the patient operation information voice prompt;
if the operation start and operation content information is acquired and the anesthesia start information is not acquired, checking and confirming the anesthesia implementation information voice prompt;
if the current operation is an operation which does not need anesthesia by an anesthesiologist, the operating physician, the anesthesiologist and the operating nurse confirm that the operation is performed without anesthesia.
Specifically, in the practical process of this embodiment, the operation links that are strictly and orderly performed and checked in sequence are required: the method comprises the steps of checking before anesthesia implementation, checking before operation, checking before patient leaves, recording according to checking contents of all links, and carrying out intelligent prompt based on acquired information. If the information related to the ' start anesthesia ' is collected, but the operation patient information is not confirmed, the ' please check and confirm the operation information of the patient ' is automatically prompted and broadcasted in a voice mode '. And if the information of the operation start and the operation content is collected but the information related to the anesthesia implementation is not collected, the information of the anesthesia implementation is automatically prompted and broadcasted in a voice mode, and the information of the anesthesia implementation is checked and confirmed first.
For the operation without anesthesia, under the strict condition, three parties of an operation doctor, an anesthesia doctor and an operation nurse are required to confirm that the operation is performed without anesthesia in the checking link of the operation checking link, and the operation cannot be skipped.
Before anesthesia is carried out, before operation starts and before the patient leaves an operating room, the identity of the patient, the operation position and other contents are checked together, so that errors of the operation patient, the operation position and the operation mode are strictly prevented, the effective implementation of an operation safety checking system is ensured, the operation safety of the patient is ensured, and the operation treatment quality is improved.
In this embodiment, before the operation starts, in step S3, it is checked whether the related image data is needed, if yes, the check item of "check data remark" is necessary to be filled, the corresponding remark information is deleted to be voice-prompted, if no, the check item of "check data remark" is unnecessary to be filled, and the corresponding remark information is deleted to be not voice-prompted;
checking the operation specimen confirmation before the patient leaves, if the record is "yes", the specimen going-to is necessary to be filled, and the missing specimen going-to information is subjected to voice prompt; if the operation specimen confirms that the record is ' none ', the check item of the specimen going to ' is unnecessary to fill, and the missing specimen going information does not carry out voice prompt.
Specifically, based on the understanding and analysis capability of the AIGC large model, scattered and verbal voice information of the three surgical parties in the whole surgical process is processed, and the verification content record of each link of the operation is completed.
For example, in the checking step before anesthesia implementation, an anesthesiologist speaks "skin prepared", "penicillin and cefoxitin Ding Guomin", then the checking item "operation field skin preparation confirmation" is automatically recorded as "yes", "whether the patient has allergy history" is recorded as "yes", and allergic medicine name information "penicillin and cefoxitin" is input, and the anesthesiologist does not need to strictly confirm according to "operation field skin preparation: is "dictation in this manner". No operation party is required to deliberately change the behavior habit in the operation process, thereby reducing the learning cost and the burden of a user.
If the information of the operation start and the operation content is acquired, but the information acquisition related to anesthesia implementation is incomplete, the information which needs to be supplemented and recorded is automatically prompted and broadcasted by voice, and the defect of operation checking information or the occurrence of operation accidents is avoided. For example, a surgical link is entered, but the anesthesia implementation link does not have preoperative blood preparation information, and prompt information of 'please confirm preoperative blood preparation information' is timely and voice-broadcast. Judging whether to prompt the related information according to the collected operation information of each link. For example, before the operation starts, if the checking item "needs the related image data" is recorded as yes ", the checking item" checking the remark of the data "is necessary to be filled, if the corresponding remark information is missing, the voice prompt is performed, if the recording is recorded as no", the checking item "checking the remark of the data" is unnecessary to be filled, and if the corresponding remark information is missing, the voice prompt is not performed.
And judging whether to prompt related information according to the collected operation information of each link. If the checking item "operation specimen confirmation" is recorded as "yes", the "specimen going" is necessary to be filled, and the voice prompt is carried out when the specimen going information is missing; if the record is "none", the "specimen going" check item is unnecessary to fill, and the voice prompt is not performed when the specimen going information is missing.
In this embodiment, in step S4, three-party character identities of a doctor, an anesthesiologist and a nurse for surgery and corresponding checking contents are distinguished through voiceprint recognition and AIGC large model semantic understanding, so that the checking information record is more accurate and more precise, the operation requiring the common confirmation of the three parties for surgery is checked, and if the operation is missing, the operation is prompted.
For example, each verification link requires a patient identification information confirmation by the operator party before starting, the operator can dictate that "the operator confirms patient information" (or dictation of similar meaning) and if the operator nurse does not confirm in time, or the operator dictates that "the operator nurse confirms patient information" (or similar situations instead of dictation), the operator automatically prompts and performs voice broadcasting "please the operator nurse confirm patient information".
In this embodiment, the AIGC technology is an artificial intelligence-based content generation technology, and by using algorithms such as machine learning and natural language processing, various types of content, such as text, image, audio, etc., can be automatically generated by a computer, so that the creation thinking and style of a human can be simulated, high-quality content can be generated, and personalized customization can be performed according to the user's needs. The AIGC large model uses a neural network model trained by deep learning technology, can carry out deep understanding and analysis on natural language, and helps a computer to better understand the meaning of human language.
In this embodiment, the voiceprint recognition technology is a biological feature recognition technology based on voice signals, and is used for recognizing the identity of an individual by analyzing the voice features of a person, and the principle of the voiceprint recognition technology is that the voice of the person is unique and similar to a fingerprint, and each person has unique features such as frequency, tone, speech speed, intonation and the like, and the features can be used for recognizing the identity of the individual. The implementation of voiceprint recognition techniques typically requires three main steps: sound collection, sound feature extraction and sound matching. The sound collection is to collect the voice signal of the person through a microphone and other devices. Sound feature extraction refers to extracting features related to the identity of an individual from an acquired voice signal, and the features include frequency, tone, speech speed, intonation and the like of sound, which can be extracted and analyzed by digital signal processing technology. Voice matching refers to comparing the extracted voice features with existing voiceprint templates to determine the individual identity of the speaker.
In this embodiment, the method further includes step S5 of directly printing the record form of the check content after the operation is finished, checking the record form by the doctor, the anesthesiologist and the nurse, signing the record form, and synchronizing the record information of the check content to the anesthesia system of the operation in the hospital.
Specifically, after the operation is finished, the checking content record form is directly printed, the signature can be obtained after the checking by the operation doctor, the anesthesiologist and the operation nurse (the direct electronic signature meeting the condition in the hospital can be realized without printing), meanwhile, the checking content record information is automatically synchronized to the operation anesthesia system in the hospital, the additional manual data input is not needed, the implementation of an operation safety checking system is ensured efficiently and high-quality, a large amount of time is saved for the operation doctor, the anesthesiologist and the operation nurse, and a complete, accurate and effective data basis is provided for the improvement of the operation treatment quality.
In summary, in a preset operation checking link, the operation checking client broadcasts the operation patient information so as to confirm the patient identity information of an operation doctor, an anesthesiologist and an operation nurse; checking the operation checking links according to the set checking sequence and the checking content, judging whether missing operation checking links exist or not, and if the missing operation checking links exist, carrying out voice prompt; processing voice information of three parties of a doctor, an anesthesiologist and a nurse in the whole operation process to finish the record of the checking content of a preset checking item; and distinguishing the three-party character identities of the operating doctor, the anesthesiologist and the operating nurse from the corresponding checking item contents through voiceprint recognition and semantic understanding, checking the checking item contents jointly confirmed by the operating doctor, the anesthesiologist and the operating nurse, and prompting if the checking item contents jointly confirmed are missing. After the operation is finished, the checking content record form is directly printed, checked and signed by an operation doctor, an anesthesiologist and an operation nurse, and the checking content record information is synchronized to the operation anesthesia system of the hospital. According to the invention, the whole course content of the operation is recorded in real time through voice recognition, the semantic understanding capability of the AIGC large model is used for analysis and understanding, the information selection and input of the operation checking record content are completed, and the operation is checked by an operation doctor, an anesthesiologist and an operation nurse and then signed, so that the operation doctor, the anesthesiologist and the operation nurse are focused on the operation, and the operation efficiency and quality are improved; and save a large amount of time for operating doctors, anesthesiologists and operating nurses, provide complete, accurate and effective data for improving the quality of operation treatment, ensure that an operation safety check system is implemented, and assist hospitals improve the quality management capability of diagnosis and treatment.
It should be noted that, the method of the present embodiment may also be applied in a distributed scenario, where multiple devices cooperate with each other to complete the method. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the methods of embodiments of the present disclosure, the devices interacting with each other to accomplish the methods.
It should be noted that the foregoing describes some embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Example 2
Referring to fig. 3, embodiment 2 of the present invention also provides an AIGC-based large model operation information recording apparatus, including:
the operation patient information confirming module 1 is used for broadcasting operation patient information through an operation checking client in a preset operation checking link so as to confirm patient identity information of an operation doctor, an anesthesiologist and an operation nurse;
the operation checking link checking module 2 is used for checking operation checking links according to the set checking sequence and the checking content, judging whether missing operation checking links exist or not, and carrying out voice prompt if missing operation checking links exist;
the operation checking content recording module 3 is used for processing voice information of three parties of an operation doctor, an anesthesiologist and an operation nurse in the whole operation process and finishing the checking content recording of a preset checking item;
the identity information verification module 4 is used for distinguishing the identities of three roles of the operating doctor, the anesthesiologist and the operating nurse from the corresponding verification item contents through voiceprint recognition and semantic understanding, verifying the verification item contents jointly confirmed and executed by the operating doctor, the anesthesiologist and the operating nurse, and prompting if the verification item contents jointly confirmed and executed are missing.
In this embodiment, in the operation patient information confirmation module 1, the operation patient information broadcasted by the operation checking client includes a patient name, a sex, an age, an operation name, an anesthesia mode and an operation date;
the operation checking link of the operation checking link checking module 2 comprises checking before anesthesia is implemented, checking before operation is started and checking before a patient leaves;
if the anesthesia information is acquired and the patient identity information is not acquired, checking and confirming the patient operation information voice prompt;
if the operation start and operation content information is acquired and the anesthesia start information is not acquired, checking and confirming the anesthesia implementation information voice prompt;
in the operation checking link checking module 2, if the current operation is an operation which does not need anesthesia by an anesthesiologist, three parties of the anesthesiologist, the anesthesiologist and the operation nurse confirm that the operation is performed without anesthesia.
In this embodiment, in the operation checking link checking module 2, before an operation starts, it is checked whether the related image data is needed, if yes, the checking item of the checking data remark is necessary to be filled, if no, the checking item of the checking data remark is unnecessary to be filled, and if no, the checking item of the checking data remark is not necessary to be filled, and the corresponding remark information is not necessary to be voice-prompted;
in the operation checking link checking module 2, if the patient leaves and checks that the operation specimen confirms, the specimen goes to the step of filling is necessary, and voice prompt is carried out on missing specimen going information; if the operation specimen confirms that the record is ' none ', the check item of the specimen going to ' is unnecessary to fill, and the missing specimen going information does not carry out voice prompt.
In this embodiment, the system further includes a verification content printing synchronization module 5, which is configured to directly print a verification content record form after the operation is finished, and to check the verification content record form by a doctor, an anesthesiologist and a nurse for operation, and to synchronize the verification content record information to the hospital operation anesthesia system.
It should be noted that, because the content of information interaction and execution process between the modules of the above-mentioned apparatus is based on the same concept as the method embodiment in embodiment 1 of the present application, the technical effects brought by the content are the same as the method embodiment of the present application, and specific content can be referred to the description in the foregoing illustrated method embodiment of the present application, which is not repeated herein.
Example 3
Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium having stored therein program code of an AIGC large model-based surgical information recording method, the program code including instructions for performing the AIGC large model-based surgical information recording method of embodiment 1 or any possible implementation thereof.
Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc., that contain an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk, SSD), etc.
Example 4
Embodiment 4 of the present invention provides an electronic device, including: a memory and a processor;
the processor and the memory complete communication with each other through a bus; the memory stores program instructions executable by the processor, which invokes the program instructions to perform the AIGC-based large model surgical information recording method of embodiment 1 or any possible implementation thereof.
Specifically, the processor may be implemented by hardware or software, and when implemented by hardware, the processor may be a logic circuit, an integrated circuit, or the like; when implemented in software, the processor may be a general-purpose processor, implemented by reading software code stored in a memory, which may be integrated in the processor, or may reside outside the processor, and which may reside separately.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present invention, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.).
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.
While the invention has been described in detail in the foregoing general description and specific examples, it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.

Claims (10)

1. An AIGC-based large model surgical information recording method, comprising:
in a preset operation checking link, broadcasting operation patient information through an operation checking client side so as to confirm patient identity information of an operation doctor, an anesthesia doctor and an operation nurse;
checking the operation checking links according to the set checking sequence and the checking content, judging whether missing operation checking links exist or not, and if the missing operation checking links exist, carrying out voice prompt;
processing voice information of three parties of a doctor, an anesthesiologist and a nurse in the whole operation process to finish the record of the checking content of a preset checking item;
and distinguishing the three-party character identities of the operating doctor, the anesthesiologist and the operating nurse from the corresponding checking item contents through voiceprint recognition and semantic understanding, checking the checking item contents jointly confirmed by the operating doctor, the anesthesiologist and the operating nurse, and prompting if the checking item contents jointly confirmed are missing.
2. The AIGC large model-based surgical information recording method according to claim 1, wherein the surgical patient information broadcast by the surgical check client includes a patient name, sex, age, surgical name, anesthesia mode, and surgical date.
3. The AIGC large model-based surgical information recording method according to claim 1, wherein the surgical verification links include pre-verification of anesthesia implementation, pre-verification of surgery start, and pre-verification of patient departure;
if the anesthesia information is acquired and the patient identity information is not acquired, checking and confirming the patient operation information voice prompt;
if the operation start and operation content information is collected and the anesthesia start information is not collected, checking and confirming the anesthesia implementation information voice prompt.
4. The AIGC large model based operation information recording method according to claim 3, wherein if the current operation is an operation requiring no anesthesia by an anesthesiologist, the operation without anesthesia is confirmed by three parties of the operating physician, the anesthesiologist and the operating nurse.
5. The AIGC-based large model operation information recording method according to claim 3, wherein before the operation is started, checking whether the related image data is needed, if yes, checking the data remark, if no, checking the data remark, and not checking the corresponding remark information, if no, not checking the data remark;
checking the operation specimen confirmation before the patient leaves, if the record is "yes", the specimen going-to is necessary to be filled, and the missing specimen going-to information is subjected to voice prompt; if the operation specimen confirms that the record is ' none ', the check item of the specimen going to ' is unnecessary to fill, and the missing specimen going information does not carry out voice prompt.
6. The AIGC based large model operation information recording method according to claim 1, wherein the check content recording form is directly printed after the operation is finished, the check content recording form is checked by the operator, the anesthesiologist and the operation nurse, and the check content recording information is synchronized to the hospital operation anesthesia system.
7. An AIGC-based large model surgical information recording apparatus comprising:
the operation patient information confirmation module is used for broadcasting operation patient information through an operation checking client in a preset operation checking link so as to confirm patient identity information of an operation doctor, an anesthesiologist and an operation nurse;
the operation checking link checking module is used for checking operation checking links according to the set checking sequence and the checking content, judging whether missing operation checking links exist or not, and carrying out voice prompt if the missing operation checking links exist;
the operation checking content recording module is used for processing voice information of three parties of an operation doctor, an anesthesiologist and an operation nurse in the whole operation process and finishing the checking content recording of a preset checking item;
the identity information verification module is used for distinguishing the identities of three roles of the operating doctor, the anesthesiologist and the operating nurse from the corresponding verification item contents through voiceprint recognition and semantic understanding, verifying the verification item contents jointly confirmed and executed by the operating doctor, the anesthesiologist and the operating nurse, and prompting if the verification item contents jointly confirmed and executed are missing.
8. The AIGC large model-based surgical information recording apparatus according to claim 7, wherein in the surgical patient information confirmation module, the surgical patient information broadcasted through the surgical check client includes a patient name, a sex, an age, a surgical name, an anesthesia mode, and a surgical date;
the operation checking link of the operation checking link checking module comprises checking before anesthesia is implemented, checking before operation is started and checking before a patient leaves;
if the anesthesia information is acquired and the patient identity information is not acquired, checking and confirming the patient operation information voice prompt;
if the operation start and operation content information is acquired and the anesthesia start information is not acquired, checking and confirming the anesthesia implementation information voice prompt;
in the operation checking link checking module, if the current operation is an operation which does not need anesthesia by an anesthesiologist, the anesthesiologist and the operation nurse confirm that the operation is performed without anesthesia.
9. The AIGC large model-based operation information recording apparatus according to claim 8, wherein, in the operation checking link checking module, before the operation is started, checking whether the relevant image data is needed or not, if yes, checking the data remark checking item is necessary for filling, voice prompting is performed for the corresponding remark information is omitted, if no, checking the data remark checking item is unnecessary for filling, and voice prompting is not performed for the corresponding remark information is omitted;
in the operation checking link checking module, before a patient leaves, checking that the operation specimen confirms, if the record is "yes", the specimen going-to is necessary to be filled, and voice prompt is carried out on missing specimen going-to information; if the operation specimen confirms that the record is ' none ', the check item of the specimen going to ' is unnecessary to fill, and the missing specimen going information does not carry out voice prompt.
10. The AIGC based large model operation information recording apparatus according to claim 7, further comprising a verification content printing synchronization module for directly printing the verification content recording form after the operation is finished, checking the post-verification signature by the operator, the anesthesiologist, and the operation nurse, and synchronizing the verification content recording information to the hospital operation anesthesia system.
CN202311424202.4A 2023-10-30 2023-10-30 Operation information recording method and device based on AIGC large model Pending CN117524430A (en)

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