Anesthesia risk assessment method and related equipment

Through intelligent anesthesia risk assessment robot, human-computer dialogue and image acquisition device, quickly evaluate anesthesia risk, generate evaluation sheets and send them to anesthesiologists, solving the cumbersome problems of the anesthesia risk assessment and follow-up process in the existing technology, and improving the evaluation efficiency and security.

CN119446509AInactive Publication Date: 2025-02-14TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411350764.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-26
Publication Date
2025-02-14
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the prior art, the anesthesia risk assessment and follow-up process are cumbersome, resulting in inconvenient movement of anesthesiologists and patients, and some doctors have insufficient assessment, which poses safety risks.

Method used

Through an intelligent anesthesia risk assessment robot, human-computer dialogue with the target user, and use the camera device to collect images, quickly evaluate the anesthesia risk, generate an anesthesia evaluation form, and send it to the anesthesiologist after signing, so that the anesthesiologist can prepare for anesthesia in advance and after surgery. Follow up in time.

Benefits of technology

It improves the efficiency and accuracy of anesthesia risk assessment, reduces the work burden of anesthesiologist, enhances patient safety, and makes the anesthesia evaluation and follow-up process more convenient.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119446509A_ABST
    Figure CN119446509A_ABST
Patent Text Reader

Abstract

The invention provides an anesthesia risk assessment method and related equipment. An anesthesia assessment report can be generated before an operation. The method comprises the steps that if an input instruction of a target user is received, the intelligent anesthesia risk assessment robot is controlled to move to a target position where the target user is located, and the target user is authenticated; after the authentication of the target user is passed, determining an evaluation item corresponding to the target user; obtaining feedback information of the target user according to the risk assessment item; generating an anesthesia evaluation sheet corresponding to the target user according to the feedback information, wherein the anesthesia evaluation sheet comprises an anesthesia evaluation summary, an anesthesia risk and informed agreement content; performing signature operation on the anesthesia assessment sheet according to the operation instruction of the target user to obtain a target risk assessment sheet; and sending the target risk assessment list to an anesthetist corresponding to the target user, so that the anesthetist performs assessment according to the target risk assessment list.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the field of anesthesia risk assessment, and in particular to an anesthesia risk assessment method and related equipment. Background Art

[0002] Anesthesia risk assessment and postoperative follow-up are essential medical links for surgical patients before surgery. The risks of surgery and anesthesia, possible adverse events, and the full anesthesia plan are evaluated to ensure the safety of anesthetized patients during surgery. Postoperative follow-up is also an important part of anesthesia quality control to timely monitor and deal with abnormal anesthesia effects after surgery.

[0003] However, currently, the anesthesiologist mainly conducts the evaluation at the bedside of the ward and the follow-up of the patient to the anesthesia evaluation clinic. Sometimes the patient is not in the ward because of an outpatient examination, and the anesthesiologist has to make a wasted trip; sometimes the patient has to postpone other examinations or treatments in order to wait for the anesthesiologist; sometimes the anesthesiologist cannot evaluate in time due to other work, which causes inconvenience and burden to the doctor or patient's activities. At the same time, some doctors do not have enough knowledge of evaluation, and the inadequate evaluation also brings certain safety risks. Summary of the invention

[0004] The embodiment of the present invention provides an anesthesia risk assessment method and related equipment, which quickly assesses the anesthesia risk of a target user by conducting human-computer dialogue with an intelligent anesthesia risk assessment robot and collecting images with a camera device before anesthesia, so that the anesthesiologist can make anesthesia preparations in advance according to the assessment results, and move to the current position of the target user for follow-up in time after the operation, so as to determine whether the target user has an abnormal anesthesia effect.

[0005] A first aspect of the present invention provides a method for assessing anesthesia risk, comprising:

[0006] If an input instruction from the target user is received, the intelligent anesthesia risk assessment robot is controlled to move to the target position where the target user is located, and authenticates the target user;

[0007] After the target user is authenticated, an evaluation item corresponding to the target user is determined;

[0008] Obtaining feedback information from the target user according to the risk assessment item;

[0009] Generate an anesthesia assessment form corresponding to the target user according to the feedback information, wherein the anesthesia assessment form includes an anesthesia assessment summary, anesthesia risks, and informed consent content;

[0010] Sign the anesthesia assessment form according to the operation instruction of the target user to obtain a target risk assessment form;

[0011] The target risk assessment form is sent to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form.

[0012] A second aspect of the present invention provides an anesthesia risk assessment device, comprising:

[0013] A control module, for controlling the intelligent anesthesia risk assessment robot to move to a target position where the target user is located and authenticating the target user upon receiving an input instruction from the target user;

[0014] A determination module, used to determine the evaluation item corresponding to the target user after the target user is authenticated;

[0015] An acquisition module, used for acquiring feedback information of the target user according to the risk assessment items;

[0016] A generating module, configured to generate an anesthesia assessment form corresponding to the target user according to the feedback information, wherein the anesthesia assessment form includes an anesthesia assessment summary, anesthesia risks, and informed consent content;

[0017] A signing module, used to sign the anesthesia assessment form according to the operation instruction of the target user to obtain a target risk assessment form;

[0018] A sending module is used to send the target risk assessment form to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form.

[0019] In a possible design, the control module is specifically used to:

[0020] Determining the current initial position of the intelligent anesthesia risk assessment robot;

[0021] Obtaining a layout map of the hospital where the target user is located;

[0022] generating a moving path according to the initial position, the layout map and the target position;

[0023] The intelligent anesthesia risk assessment robot is controlled to move from the initial position to the target position based on the moving path.

[0024] In a possible design, the acquisition module is specifically used for:

[0025] Determine an input method corresponding to the risk assessment item, the input method including screen display input, voice prompt input and / or text input;

[0026] Displaying the risk assessment items on a display screen of the intelligent anesthesia risk assessment robot based on the input method;

[0027] Acquire an operation instruction of the target user, and determine the feedback information according to the operation instruction;

[0028] In a possible design, the generating module is further used for:

[0029] Recording the initial moment when the target user performs anesthesia and completes the operation;

[0030] Starting a timer based on the initial moment until the count of the timer reaches a preset duration;

[0031] Controlling the intelligent anesthesia risk assessment robot to move to the current postoperative position of the target user;

[0032] Information of the target user is collected according to the follow-up questionnaire to obtain a follow-up summary report corresponding to the target user, and the follow-up summary report is sent to the anesthesiologist.

[0033] In a possible design, the generating module is further used for:

[0034] Determine the artificial anesthesia assessment sheet and artificial follow-up summary report corresponding to the target user;

[0035] Comparing the target risk assessment form with the artificial anesthesia assessment form to obtain a first comparison result, and adjusting the risk assessment items according to the first comparison result;

[0036] The follow-up summary report is compared with the manual follow-up summary report to obtain a second comparison result, and the follow-up questionnaire is adjusted according to the second comparison result.

[0037] In a possible design, the generating module is further used for:

[0038] Receiving the anesthesiologist's questioning instructions regarding the anesthesia assessment form and the follow-up summary report;

[0039] Outputting the adjustment instruction to the target user and receiving feedback information from the target user;

[0040] The feedback information is sent to the anesthesiologist so that the anesthesiologist performs corresponding operations according to the feedback information.

[0041] In one possible design, the feedback information includes: attribute data of the target user, airway assessment data, preset organ function assessment data, and subjective assessment data.

[0042] A third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the processor is used to implement the steps of the anesthesia risk assessment method as described in the first aspect when executing a computer management program stored in the memory.

[0043] A fourth aspect of the present invention provides a computer-readable storage medium having a computer management program stored thereon, which, when executed by a processor, implements the steps of the anesthesia risk assessment method as described in the first aspect above.

[0044] In summary, it can be seen that in the embodiment provided by the present invention, if the input instruction of the target user is received, the intelligent anesthesia risk assessment robot is controlled to move to the target position where the target user is located, and the target user is authenticated; when the target user is authenticated, the assessment item corresponding to the target user is determined; and the feedback information of the target user is obtained according to the risk assessment item; an anesthesia assessment form corresponding to the target user is generated according to the feedback information, and the anesthesia assessment form is signed according to the operation instruction of the target user to obtain a target risk assessment form; the target risk assessment form is sent to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form. Thus, before anesthesia, the target user can quickly assess the anesthesia risk of the target user by conducting a human-computer dialogue with the intelligent anesthesia risk assessment robot and collecting images with a camera device, so that the anesthesiologist can prepare for anesthesia in advance according to the assessment results, and move to the current position of the target user for follow-up in time after surgery, so as to determine whether the target user has an abnormal anesthesia effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A schematic diagram of a flow chart of a method for assessing anesthesia risk provided by an embodiment of the present invention;

[0046] Figure 2 A virtual structural diagram of an anesthesia risk assessment device provided by an embodiment of the present invention;

[0047] Figure 3 A schematic diagram of the hardware structure of an anesthesia risk assessment device provided by an embodiment of the present invention;

[0048] Figure 4 A schematic diagram of an electronic device according to an embodiment of the present invention;

[0049] Figure 5 A schematic diagram of an embodiment of a computer-readable storage medium provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0051] In the following description, specific embodiments of the present invention will be described with reference to steps and symbols performed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be mentioned several times as being performed by a computer, and computer execution referred to herein includes operations by a computer processing unit of electronic signals representing data in a structured form. This operation converts the data or maintains it at a location in the computer's memory system, which can be reconfigured or otherwise change the operation of the computer in a manner familiar to testers in the field. The data structure maintained by the data is a physical location in the memory, which has specific characteristics defined by the data format. However, the principles of the present invention are described in the above text, which does not represent a limitation, and testers in the field will understand that the various steps and operations described below can also be implemented in hardware.

[0052] The principles of the present invention operate with many other general or special purpose computing, communication environments or configurations. Examples of well-known computing systems, environments and configurations suitable for use with the present invention may include, but are not limited to, handheld phones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe computers, and distributed computing environments, including any of the above systems or devices.

[0053] The terms "first", "second", and "third" in the present invention are used to distinguish different objects rather than to describe a specific order. In addition, the terms "include", "have", and any variations thereof are intended to cover non-exclusive inclusions.

[0054] The following is an explanation of the anesthesia risk assessment method provided by the present invention from the perspective of an anesthesia risk assessment device. The anesthesia risk assessment device can be a server, a service unit in a server, or an intelligent anesthesia risk assessment robot. The intelligent anesthesia risk assessment robot includes an assessment acquisition terminal, a movable body, and a charging base. The assessment acquisition terminal includes a wide-angle high-definition camera device at the top, a high-definition display screen with a voice function in the middle part, and an outer shell. The wide-angle high-definition camera device at the top is fixedly installed on a lifting track and can be automatically raised and lowered to be parallel to the patient's nose according to the patient's height.

[0055] See also Figure 1 , Figure 1A schematic flow chart of an anesthesia risk assessment method provided in an embodiment of the present invention, wherein the anesthesia risk assessment method comprises:

[0056] 101. If an input instruction from a target user is received, the intelligent anesthesia risk assessment robot is controlled to move to the target position where the target user is located, and the target user is authenticated.

[0057] In this embodiment, when the target user's surgery requires anesthesia, the target user can input an entry instruction through the bedside call button (or other methods, such as establishing a communication connection between the target user's mobile phone terminal and the intelligent anesthesia risk assessment robot), and the entry instruction indicates that the target user needs to undergo an anesthesia risk assessment (the entry instruction carries the target user's surgery application information). Thus, the anesthesia risk assessment device can receive the target user's entry instruction, and then control the intelligent anesthesia risk assessment robot to move to the target position where the target user is located, and authenticate the target user.

[0058] Specifically, the anesthesia risk assessment device can first determine the initial position of the intelligent anesthesia risk assessment robot; obtain the layout map of the hospital where the target user is located; generate a moving path based on the initial position, the layout map and the target position; and control the intelligent anesthesia risk assessment robot to move from the initial position to the target position based on the moving path. That is, when the anesthesia risk assessment device receives the input instruction of the target user, it can automatically generate a moving path between the current position and the target position of the intelligent anesthesia risk assessment robot, and control the intelligent anesthesia risk assessment robot to move to the target position according to the moving path.

[0059] 102. After the target user is authenticated, the evaluation item corresponding to the target user is determined.

[0060] In this embodiment, after determining that the target user has passed authentication, the anesthesia risk assessment device can determine the risk assessment item corresponding to the target user. Since all anesthetics and anesthesia methods can affect the stability of the patient's physiological state, in order to reduce the patient's burden during surgery and improve the safety of surgical anesthesia, an anesthesia risk assessment of the patient is required before anesthesia. The risk assessment item is a project that fully estimates the target user's general condition and physiological functions of important organs before surgical anesthesia.

[0061] 103. Obtain feedback from target users based on risk assessment projects.

[0062] In this embodiment, the anesthesia risk assessment device can determine the entry method corresponding to the risk assessment item, which includes screen display entry (the target user enters the risk assessment item according to the risk assessment item displayed on the screen), voice prompt entry (the target user enters the risk assessment item according to the voice prompt answer issued by the robot) and / or text entry (the target user enters the corresponding text according to the risk assessment item output by the robot). After that, the anesthesia risk assessment device displays the risk assessment item on the display screen of the intelligent anesthesia risk assessment robot based on the entry method; and obtains the operation instructions of the target user, and determines the feedback information according to the operation instructions.

[0063] It should be noted that, in actual operation, the risk assessment project can use three input methods at the same time. For example, some items in the risk assessment project obtain feedback information by the target user selecting yes or no, some items enter information by the target user answering questions and then obtaining corresponding feedback information, and some items require the target user to perform relevant actions according to the screen instructions set on the intelligent anesthesia risk assessment robot, so that the camera device of the intelligent anesthesia risk assessment robot captures the corresponding images, and then analyzes the images to obtain corresponding feedback information.

[0064] It should also be noted that the feedback information includes: attribute data of the target user, airway assessment data, preset organ function assessment data and subjective assessment data, among which:

[0065] The target user's attribute data includes: the target user's general information (such as home address, gender, height, weight, etc.), past medical history (surgical anesthesia history, allergy history, medication history, etc.), current medical history (hypertension, diabetes, infectious diseases, sleep apnea, etc.),

[0066] Airway assessment data include: mouth opening, neck range of motion, airway Mallampati classification, teeth, and thyromental distance (measured and calculated by commanding movements, captured by the camera);

[0067] Preset organ function assessment data: heart function, lung function, liver function, etc. (design standard questionnaires or dialogue questions and answers, collect keywords, and then make assessments based on authoritative classifications)

[0068] Subjective evaluation data include pain score, mood index, sleep and anxiety index, and nutrition.

[0069] 104. Generate an anesthesia assessment form corresponding to the target user according to the feedback information.

[0070] In this embodiment, after obtaining the feedback information of the target user, the anesthesia risk assessment device can generate an anesthesia assessment form corresponding to the target user according to the feedback information, that is, the feedback information of the target user is merged with the risk assessment items to obtain a risk assessment project form containing the feedback information, and the risk assessment project form, anesthesia risk and informed consent content are determined as an anesthesia assessment form. The anesthesia assessment form also includes information such as ASA classification and perioperative focus points, which are not specifically limited.

[0071] 105. The anesthesia assessment form is signed according to the operating instructions of the target user to obtain a target risk assessment form.

[0072] In this embodiment, after generating the anesthesia assessment form, the anesthesia risk assessment device can output the anesthesia assessment form to the target user, for example, by informing the target user through voice, and displaying the anesthesia assessment form on a display screen for the target user to sign. Thus, the target risk assessment form can be obtained according to the signature operation instruction of the target user, and the target risk assessment form is the anesthesia assessment form signed by the target user.

[0073] 106. Send the target risk assessment form to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form.

[0074] In this embodiment, after determining the target risk assessment form, the anesthesia risk assessment device may send the target risk assessment form to the anesthesiologist of the target user, and the anesthesiologist may evaluate the anesthesia condition of the target user based on the target risk assessment form.

[0075] In one embodiment, the anesthesia risk assessment device further performs the following operations:

[0076] Record the initial moment after the target user performs anesthesia and completes the surgery;

[0077] Starting a timer based on the initial time until the timer counts to a preset duration;

[0078] Control the intelligent anesthesia risk assessment robot to move to the current postoperative position of the target user;

[0079] Information of the target user is collected according to the follow-up questionnaire to obtain a follow-up summary report corresponding to the target user, and the follow-up summary report is sent to the anesthesiologist.

[0080] In this embodiment, when the target user performs anesthesia and the operation is completed, the target user can perform anesthesia and the initial moment after the operation is completed can be recorded, and a timer can be started to count until the timer counts to a preset time (for example, the preset time can be 24 hours after the operation, and of course it can also be adjusted according to actual conditions, and there is no specific limitation), and the intelligent anesthesia risk assessment robot is controlled to move to the current postoperative position of the target user (the movement method is similar to step 101, which has been described in detail above and will not be repeated here), and the follow-up questionnaire is displayed to the target user, the user's reply to the follow-up questionnaire is received to realize the collection of information about the target user after the operation, and a follow-up summary report is generated based on the collected information and the follow-up questionnaire, and the follow-up summary report is sent to the anesthesiologist for postoperative evaluation.

[0081] In one embodiment, the anesthesia risk assessment device further performs the following operations:

[0082] Determine the manual anesthesia assessment sheet and / or manual follow-up summary report corresponding to the target user;

[0083] Compare the target risk assessment sheet with the artificial anesthesia assessment sheet to obtain a first comparison result, and adjust the risk assessment items according to the first comparison result;

[0084] and / or

[0085] The follow-up summary report is compared with the manual follow-up summary report to obtain a second comparison result, and the follow-up questionnaire is adjusted according to the second comparison result.

[0086] In this embodiment, after obtaining the target risk assessment form and / or the follow-up summary report, the anesthesia risk assessment device can determine the artificial anesthesia assessment form and / or the artificial follow-up summary report corresponding to the target user, that is, for the target user, the anesthesiologist still determines whether there is an artificial anesthesia assessment form and / or performs artificial follow-up to obtain an artificial follow-up summary report according to the actual situation. After that, the anesthesia risk assessment device compares the target risk assessment form with the artificial anesthesia assessment form to obtain a first comparison result, and adjusts the risk assessment items according to the first comparison result; and / or, compares the follow-up summary report with the artificial follow-up summary report to obtain a second comparison result, and adjusts the follow-up questionnaire according to the second comparison result. Thus, a more accurate assessment form and follow-up summary report can be obtained.

[0087] It should be noted that, after receiving the anesthesia assessment form and / or the follow-up summary report, if the anesthesiologist has any questions about the anesthesia assessment form and / or the follow-up summary report, he can issue a question instruction, so that the anesthesia risk assessment device can receive the anesthesiologist's question instruction about the anesthesia assessment form and / or the follow-up summary report; and output the information corresponding to the question instruction to the target user, and receive the feedback information of the target user; and send the feedback information to the anesthesiologist, so that the anesthesiologist performs corresponding operations according to the feedback information. That is, the intelligent anesthesia risk assessment robot can serve as a communication bridge between the user and the anesthesiologist, thereby realizing real-time and accurate preoperative and postoperative assessment of the anesthesia risk of the target user.

[0088] It should be noted that the anesthesia risk assessment device can record the process of generating a target risk assessment form and / or a follow-up summary report, and then when the target risk assessment form and / or the follow-up summary report is sent to the anesthesiologist, the recording can be sent to the anesthesiologist at the same time. Thus, the anesthesiologist can view the process recording, or move to the location of the target user to re-evaluate or follow up the target user, and revise the evaluation or follow-up report based on the evaluation results or follow-up results, and sign it.

[0089] In summary, it can be seen that in the embodiment provided by the present invention, if the input instruction of the target user is received, the intelligent anesthesia risk assessment robot is controlled to move to the target position where the target user is located, and the target user is authenticated; when the target user is authenticated, the assessment item corresponding to the target user is determined; and the feedback information of the target user is obtained according to the risk assessment item; an anesthesia assessment form corresponding to the target user is generated according to the feedback information, and the anesthesia assessment form is signed according to the operation instruction of the target user to obtain a target risk assessment form; the target risk assessment form is sent to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form. Thus, before anesthesia, the target user can quickly assess the anesthesia risk of the target user by conducting a human-computer dialogue with the intelligent anesthesia risk assessment robot and collecting images with a camera device, so that the anesthesiologist can prepare for anesthesia in advance according to the assessment results, and move to the current position of the target user for follow-up in time after surgery, so as to determine whether the target user has an abnormal anesthesia effect.

[0090] The above describes the embodiment of the present invention from the perspective of anesthesia risk assessment method. The following describes the embodiment of the present invention from the perspective of anesthesia risk assessment device.

[0091] See also Figure 2 , a virtual structural diagram of an anesthesia risk assessment device according to an embodiment of the present invention, wherein the anesthesia risk assessment device 200 comprises:

[0092] The control module 201 is used to control the intelligent anesthesia risk assessment robot to move to the target position where the target user is located and authenticate the target user when receiving an input instruction from the target user;

[0093] A determination module 202 is used to determine the evaluation item corresponding to the target user after the target user is authenticated;

[0094] An acquisition module 203 is used to acquire feedback information of the target user according to the risk assessment item;

[0095] A generating module 204 is used to generate an anesthesia assessment form corresponding to the target user according to the feedback information, wherein the anesthesia assessment form includes an anesthesia assessment summary, anesthesia risks, and informed consent content;

[0096] The signing module 205 is used to sign the anesthesia assessment form according to the operation instruction of the target user to obtain a target risk assessment form;

[0097] The sending module 206 is used to send the target risk assessment form to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form.

[0098] In a possible design, the control module 201 is specifically used to:

[0099] Determining the current initial position of the intelligent anesthesia risk assessment robot;

[0100] Obtaining a layout map of the hospital where the target user is located;

[0101] generating a moving path according to the initial position, the layout map and the target position;

[0102] The intelligent anesthesia risk assessment robot is controlled to move from the initial position to the target position based on the moving path.

[0103] In a possible design, the acquisition module 203 is specifically used for:

[0104] Determine an input method corresponding to the risk assessment item, the input method including screen display input, voice prompt input and / or text input;

[0105] Displaying the risk assessment items on a display screen of the intelligent anesthesia risk assessment robot based on the input method;

[0106] Acquire an operation instruction of the target user, and determine the feedback information according to the operation instruction;

[0107] In a possible design, the generating module 204 is further used for:

[0108] Recording the initial moment when the target user performs anesthesia and completes the operation;

[0109] Starting a timer based on the initial moment until the count of the timer reaches a preset duration;

[0110] Controlling the intelligent anesthesia risk assessment robot to move to the current postoperative position of the target user;

[0111] Information of the target user is collected according to the follow-up questionnaire to obtain a follow-up summary report corresponding to the target user, and the follow-up summary report is sent to the anesthesiologist.

[0112] In a possible design, the generating module 204 is further used for:

[0113] Determine the artificial anesthesia assessment sheet and artificial follow-up summary report corresponding to the target user;

[0114] Comparing the target risk assessment form with the artificial anesthesia assessment form to obtain a first comparison result, and adjusting the risk assessment items according to the first comparison result;

[0115] The follow-up summary report is compared with the manual follow-up summary report to obtain a second comparison result, and the follow-up questionnaire is adjusted according to the second comparison result.

[0116] In a possible design, the generating module 204 is further used for:

[0117] Receiving the anesthesiologist's questioning instructions regarding the anesthesia assessment form and the follow-up summary report;

[0118] Outputting the adjustment instruction to the target user and receiving feedback information from the target user;

[0119] The feedback information is sent to the anesthesiologist so that the anesthesiologist performs corresponding operations according to the feedback information.

[0120] In one possible design, the feedback information includes: attribute data of the target user, airway assessment data, preset organ function assessment data, and subjective assessment data.

[0121] above Figure 3The anesthesia risk assessment device in the embodiment of the present invention is described from the perspective of modular functional entities. The anesthesia risk assessment device in the embodiment of the present invention is described in detail from the perspective of hardware processing. Please refer to FIG. 300, which is a schematic diagram of an embodiment of the anesthesia risk assessment device 300 in the embodiment of the present invention. The anesthesia risk assessment device 300 includes:

[0122] An input device 301, an output device 302, a processor 303 and a memory 304 (the number of the processor 303 can be one or more, Figure 3 In some embodiments of the present invention, the input device 301, the output device 302, the processor 303 and the memory 304 may be connected via a communication bus or other means, wherein: Figure 3 The communication bus connection is taken as an example.

[0123] By calling the operation instruction stored in the memory 304, the processor 303 is used to perform the following steps:

[0124] If an input instruction from the target user is received, the intelligent anesthesia risk assessment robot is controlled to move to the target position where the target user is located, and authenticates the target user;

[0125] After the target user is authenticated, an evaluation item corresponding to the target user is determined;

[0126] Obtaining feedback information from the target user according to the risk assessment item;

[0127] Generate an anesthesia assessment form corresponding to the target user according to the feedback information, wherein the anesthesia assessment form includes an anesthesia assessment summary, anesthesia risks, and informed consent content;

[0128] Sign the anesthesia assessment form according to the operation instruction of the target user to obtain a target risk assessment form;

[0129] The target risk assessment form is sent to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form.

[0130] By calling the operation instructions stored in the memory 304, the processor 303 is also used to execute Figure 1 Any method in the corresponding embodiment.

[0131] See also Figure 4 , Figure 4 A schematic diagram of an electronic device according to an embodiment of the present invention.

[0132] like Figure 4As shown, an embodiment of the present invention provides an electronic device, including a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented:

[0133] If an input instruction from the target user is received, the intelligent anesthesia risk assessment robot is controlled to move to the target position where the target user is located, and authenticates the target user;

[0134] After the target user is authenticated, an evaluation item corresponding to the target user is determined;

[0135] Obtaining feedback information from the target user according to the risk assessment item;

[0136] Generate an anesthesia assessment form corresponding to the target user according to the feedback information, wherein the anesthesia assessment form includes an anesthesia assessment summary, anesthesia risks, and informed consent content;

[0137] Sign the anesthesia assessment form according to the operation instruction of the target user to obtain a target risk assessment form;

[0138] The target risk assessment form is sent to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form.

[0139] In the specific implementation process, when the processor 420 executes the computer program 411, it can achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0140] Since the electronic device introduced in this embodiment is a device used to implement an anesthesia risk assessment device in the embodiment of the present invention, based on the method introduced in the embodiment of the present invention, technical personnel in this field can understand the specific implementation of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present invention will not be described in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present invention is within the scope of protection of the present invention.

[0141] Please refer to Figure 500, which is a schematic diagram of an embodiment of a computer-readable storage medium provided by an embodiment of the present invention.

[0142] As shown in Figure 500, the embodiment of the present invention further provides a computer-readable storage medium 500, on which a computer program 511 is stored. When the computer program 511 is executed by a processor, the following steps are implemented:

[0143] If an input instruction from the target user is received, the intelligent anesthesia risk assessment robot is controlled to move to the target position where the target user is located, and authenticates the target user;

[0144] After the target user is authenticated, an evaluation item corresponding to the target user is determined;

[0145] Obtaining feedback information from the target user according to the risk assessment item;

[0146] Generate an anesthesia assessment form corresponding to the target user according to the feedback information, wherein the anesthesia assessment form includes an anesthesia assessment summary, anesthesia risks, and informed consent content;

[0147] Sign the anesthesia assessment form according to the operation instruction of the target user to obtain a target risk assessment form;

[0148] The target risk assessment form is sent to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form.

[0149] In the specific implementation process, the computer program 511 is executed by the processor to achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0150] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0151] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0152] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0153] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0155] The embodiment of the present invention also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes the following Figure 1 The process in the corresponding embodiment.

[0156] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0157] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0158] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There are other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0159] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0160] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0161] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0162] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for risk assessment of anesthesia, characterized in that: include: If an input instruction from the target user is received, the intelligent anesthesia risk assessment robot is controlled to move to the target position where the target user is located, and authenticates the target user; After the target user is authenticated, an evaluation item corresponding to the target user is determined; Obtaining feedback information from the target user according to the risk assessment item; Generate an anesthesia assessment form corresponding to the target user according to the feedback information, wherein the anesthesia assessment form includes an anesthesia assessment summary, anesthesia risks, and informed consent content; Sign the anesthesia assessment form according to the operation instruction of the target user to obtain a target risk assessment form; The target risk assessment form is sent to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form.

2. The method according to claim 1, characterized in that The controlling the intelligent anesthesia risk assessment robot to move to the target position where the target user is located comprises: Determining the current initial position of the intelligent anesthesia risk assessment robot; Obtaining a layout map of the hospital where the target user is located; generating a moving path according to the initial position, the layout map and the target position; The intelligent anesthesia risk assessment robot is controlled to move from the initial position to the target position based on the moving path.

3. The method according to claim 1, characterized in that The obtaining feedback information of the target user according to the risk assessment item includes: Determine an input method corresponding to the risk assessment item, the input method including screen display input, voice prompt input and / or text input; Displaying the risk assessment items on a display screen of the intelligent anesthesia risk assessment robot based on the input method; An operation instruction of the target user is obtained, and the feedback information is determined according to the operation instruction.

4. The method according to any one of claims 1 to 3, characterized in that The method further comprises: Recording the initial moment when the target user performs anesthesia and completes the operation; Starting a timer based on the initial moment until the count of the timer reaches a preset duration; Controlling the intelligent anesthesia risk assessment robot to move to the current postoperative position of the target user; Information of the target user is collected according to the follow-up questionnaire to obtain a follow-up summary report corresponding to the target user, and the follow-up summary report is sent to the anesthesiologist.

5. The method according to claim 4, The method is characterized in that the method further comprises: Determine the artificial anesthesia assessment sheet and artificial follow-up summary report corresponding to the target user; Comparing the target risk assessment form with the artificial anesthesia assessment form to obtain a first comparison result, and adjusting the risk assessment items according to the first comparison result; The follow-up summary report is compared with the manual follow-up summary report to obtain a second comparison result, and the follow-up questionnaire is adjusted according to the second comparison result.

6. The method according to claim 5, characterized in that The method further comprises: Receiving the anesthesiologist's questioning instructions regarding the anesthesia assessment form and the follow-up summary report; Outputting the adjustment instruction to the target user and receiving feedback information from the target user; The feedback information is sent to the anesthesiologist so that the anesthesiologist performs corresponding operations according to the feedback information.

7. The method according to any one of claims 1 to 3, 5 and 6, characterized in that: The feedback information includes: attribute data of the target user, airway assessment data, preset organ function assessment data and subjective assessment data.

8. An anesthesia risk assessment device, characterized in that: include: A control module, for controlling the intelligent anesthesia risk assessment robot to move to a target position where the target user is located and authenticating the target user upon receiving an input instruction from the target user; A determination module, used to determine the evaluation item corresponding to the target user after the target user is authenticated; An acquisition module, used for acquiring feedback information of the target user according to the risk assessment items; A generating module, configured to generate an anesthesia assessment form corresponding to the target user according to the feedback information, wherein the anesthesia assessment form includes an anesthesia assessment summary, anesthesia risks, and informed consent content; A signing module, used to sign the anesthesia assessment form according to the operation instruction of the target user to obtain a target risk assessment form; A sending module is used to send the target risk assessment form to the anesthesiologist corresponding to the target user, so that the anesthesiologist performs an assessment according to the target risk assessment form.

9. An electronic device, characterized in that: include: A memory and a processor, wherein the processor is used to implement the anesthesia risk assessment method as described in any one of claims 1 to 7 when executing a computer management program stored in the memory.

10. A computer-readable storage medium having a computer management program stored thereon, characterized in that: When the computer management program is executed by the processor, the anesthesia risk assessment method according to any one of claims 1 to 7 is implemented.