CN112863637A - Pain nursing system and method for users after general surgery - Google Patents
Pain nursing system and method for users after general surgery Download PDFInfo
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Abstract
The invention discloses a post-operation pain nursing system and a post-operation pain nursing method for a user in general surgery, wherein the method comprises the following steps: respectively inputting first facial information and first limb information of a first user into a first evaluation model for data training to obtain a first facial pain grade and a first limb pain grade; obtaining a first composite pain level as a function of the first facial pain level, the first limb pain level, and first vital sign data of the first user; obtaining a first pain site according to a first surgical type; obtaining a first pain treatment medication based on the first composite pain rating and the first pain location; and if the first comprehensive pain level is in the first threshold value, screening the first pain treatment drug according to the first treatment authority of the first nurse to obtain first drug information. The technical problems that in the prior art, a method for nursing the pain of the patient is not intelligent enough, and assessment of the pain level is not accurate enough are solved.
Description
Technical Field
The invention relates to the field of pain nursing, in particular to a user pain nursing system and method after general surgery.
Background
Post-operative pain is a reaction of the body to the noxious stimuli of surgery, and the pathophysiological changes that it causes can affect post-operative recovery, leading to complications of the respiratory, urinary and cardiovascular systems. And thus increasingly draws attention. Pain is the fifth vital sign of human body, and is the subjective feeling of people, and the pain assessment to postoperative patient in the prior art is mainly determined according to inquiry medical history, physical examination and pain assessment tool, and both accuracy and intelligence are low, thereby leading to the effect of pain nursing not to be obvious enough.
In the process of implementing the technical scheme of the invention in the embodiment of the present application, the inventor of the present application finds that the above-mentioned technology has at least the following technical problems:
the pain nursing method for patients is not intelligent enough, and the evaluation of pain level is not accurate enough.
Disclosure of Invention
The embodiment of the application provides a post-operation pain nursing system and method for a user in general surgery department, solves the technical problems that in the prior art, a pain nursing method for a patient is not intelligent enough and assessment of pain level is not accurate enough, and achieves the technical purpose of accurately assessing the pain level of the user based on a training model, so that quick and effective pain nursing is realized.
In view of the above problems, the embodiments of the present application provide a post-general surgery pain care system and method for a user.
In a first aspect, the present application provides a post-surgical pain care system for a user, wherein the system comprises: a first obtaining unit configured to obtain first image information of a first user; a second obtaining unit configured to obtain first facial information and first limb information of the first user from the first image information; the first input unit is used for inputting the first facial information and the first limb information into a first evaluation model respectively for data training to obtain first output information and second output information of the first evaluation model, wherein the first output information is a first facial pain grade, and the second output information is a first limb pain grade; a third obtaining unit, configured to obtain first vital sign data of the first user; a fourth obtaining unit for obtaining a first composite pain level according to the first facial pain level, the first limb pain level and the first vital sign data; a fifth obtaining unit for obtaining a first surgical type of the first user; a sixth obtaining unit for obtaining a first pain site in accordance with the first surgical type; a seventh obtaining unit for obtaining a first pain therapy medication in dependence of the first composite pain level and the first pain location; a first judging unit for judging whether the first comprehensive pain level is at a first threshold value; an eighth obtaining unit, configured to obtain a first treatment permission of a first nurse if the first composite pain level is at the first threshold; a ninth obtaining unit, configured to screen the first pain treatment medication according to the first treatment permission, and obtain first medication information; a tenth obtaining unit, configured to obtain a first sending instruction, send the first medication information to the first nurse according to the first sending instruction, and perform medication on the first user by the first nurse.
In another aspect, the present application further provides a pain nursing method for a user after general surgery, wherein the method includes: obtaining first image information of a first user; obtaining first facial information and first limb information of the first user from the first image information; respectively inputting the first facial information and the first limb information into a first evaluation model for data training to obtain first output information and second output information of the first evaluation model, wherein the first output information is a first facial pain grade, and the second output information is a first limb pain grade; obtaining first vital sign data of the first user; obtaining a first composite pain level as a function of the first facial pain level, the first limb pain level, and the first vital sign data; obtaining a first surgical type for the first user; obtaining a first pain site according to the first surgical type; obtaining a first pain treatment medication based on the first composite pain rating and the first pain location; determining whether the first composite pain level is at a first threshold; if the first composite pain level is at the first threshold, obtaining a first treatment permission of a first nurse; screening the first pain treatment drug according to the first treatment authority to obtain first drug information; and obtaining a first sending instruction, sending the first medicine information to the first nurse according to the first sending instruction, and carrying out medicine treatment on the first user by the first nurse.
In another aspect, the present application provides a post-surgery general surgery pain care system, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method according to the first aspect.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the facial information and the limb information of the first user are obtained through image recognition, and the facial pain grade and the limb pain grade of the first user are evaluated through the training model, so that the accurate first comprehensive pain grade is obtained according to the evaluation result and the physiological data of the user, and the data is processed based on the characteristic that the training model can continuously learn and obtain experience, so that the obtained first comprehensive pain grade is more accurate. And then, further determining a postoperative analgesia mode and selecting medicines according to the first comprehensive pain grade, so that the technical purpose of quickly and effectively nursing pain is achieved by accurately evaluating the pain grade of a user based on a training model.
The foregoing is a summary of the present disclosure, and embodiments of the present disclosure are described below to make the technical means of the present disclosure more clearly understood.
Drawings
FIG. 1 is a schematic flow chart illustrating a pain nursing method for a user after general surgery according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a post-surgical pain care system for a user according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a first input unit 13, a third obtaining unit 14, a fourth obtaining unit 15, a fifth obtaining unit 16, a sixth obtaining unit 17, a seventh obtaining unit 18, a first judging unit 19, an eighth obtaining unit 20, a ninth obtaining unit 21, a tenth obtaining unit 22, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application provides a post-operation pain nursing system and method for a user in general surgery department, solves the technical problems that in the prior art, a pain nursing method for a patient is not intelligent enough and assessment of pain level is not accurate enough, and achieves the technical purpose of accurately assessing the pain level of the user based on a training model, so that quick and effective pain nursing is realized. Hereinafter, example embodiments of the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The pain assessment of postoperative patients is mainly determined according to inquiry medical history, physical examination and pain assessment tools, the accuracy and intelligence are low, and the pain nursing effect is not obvious enough. The technical problems that a method for nursing the pain of a patient is not intelligent enough and the assessment of the pain level is not accurate enough exist in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the application provides a pain nursing system for a user after general surgery, wherein the system comprises: a first obtaining unit configured to obtain first image information of a first user; a second obtaining unit configured to obtain first facial information and first limb information of the first user from the first image information; the first input unit is used for inputting the first facial information and the first limb information into a first evaluation model respectively for data training to obtain first output information and second output information of the first evaluation model, wherein the first output information is a first facial pain grade, and the second output information is a first limb pain grade; a third obtaining unit, configured to obtain first vital sign data of the first user; a fourth obtaining unit for obtaining a first composite pain level according to the first facial pain level, the first limb pain level and the first vital sign data; a fifth obtaining unit for obtaining a first surgical type of the first user; a sixth obtaining unit for obtaining a first pain site in accordance with the first surgical type; a seventh obtaining unit for obtaining a first pain therapy medication in dependence of the first composite pain level and the first pain location; a first judging unit for judging whether the first comprehensive pain level is at a first threshold value; an eighth obtaining unit, configured to obtain a first treatment permission of a first nurse if the first composite pain level is at the first threshold; a ninth obtaining unit, configured to screen the first pain treatment medication according to the first treatment permission, and obtain first medication information; a tenth obtaining unit, configured to obtain a first sending instruction, send the first medication information to the first nurse according to the first sending instruction, and perform medication on the first user by the first nurse.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a method for pain care of a user after general surgery, where the method includes:
step S100: obtaining first image information of a first user;
specifically, the first image information is obtained by an image capturing device in a ward where the first user is located, and the system performs feature extraction on the image based on an image recognition technology by obtaining the first image information, so that the performance of the first user in the first image information is analyzed, and a foundation is laid for accurate pain level evaluation in the follow-up process.
Step S200: obtaining first facial information and first limb information of the first user from the first image information;
specifically, the system performs feature extraction on the facial expression and the limb movement of the first user through the first image information. The assessment of the pain level of the user can obtain the physiological, behavioral and emotional responses of the user from the expression, posture and posture of the user at the time of pain, thereby realizing a preliminary assessment of the pain level in terms of the user's response.
Step S300: respectively inputting the first facial information and the first limb information into a first evaluation model for data training to obtain first output information and second output information of the first evaluation model, wherein the first output information is a first facial pain grade, and the second output information is a first limb pain grade;
specifically, the first evaluation model is a neural network model, and the neural network model can process other data through continuous learning of a large amount of data, further continuous modification of the model and finally satisfactory experience. The neural network model is obtained by training a plurality of groups of training data, and the process of training the data by the neural network model is essentially a process of supervised learning.
Under the condition that the first facial information and the first limb information are respectively input into the first evaluation model as input information, the first evaluation model respectively verifies the first facial pain grade output by the neural network model through the identified first facial pain grade and verifies the first limb pain grade output by the neural network model through the identified first limb pain grade, if the output information is consistent with the identification information, the data supervised learning is finished, and then the next group of data supervised learning is carried out; and if the output information is inconsistent with the identification information, the neural network model is adjusted, and after the neural network model reaches the expected accuracy rate, the supervised learning of the next group of data is carried out. The neural network model is continuously corrected and optimized through training data, the accuracy of the neural network model for processing the data is improved through a supervised learning process, and then the accurate first output information and the accurate second output information are obtained.
Step S400: obtaining first vital sign data of the first user;
in particular, the pain response of the post-operative patient often causes a series of surgical complications, and therefore requires close attention to the vital sign data of the first user, which includes data information of the first user's heart rate, pulse, blood pressure, body temperature, and the like. By focusing on the first vital sign data closely, it is important to find out the pain part of the first user and to evaluate pain.
Step S500: obtaining a first composite pain level as a function of the first facial pain level, the first limb pain level, and the first vital sign data;
specifically, after the physiological data, the facial reaction and the limb reaction of the first user are evaluated respectively, the first comprehensive pain level is automatically obtained by the system according to each evaluation result, and the first comprehensive pain level is used for evaluating the pain degree of the first user.
Step S600: obtaining a first surgical type for the first user;
specifically, the users have different pain levels and different pain positions after the operation due to different operation types. By obtaining the first surgical type, the pain location and medication of the patient can be further determined.
Step S700: obtaining a first pain site according to the first surgical type;
step S800: obtaining a first pain treatment medication based on the first composite pain rating and the first pain location;
specifically, after the accurate evaluation of the pain level of the first user is completed and the pain part of the user is obtained, the pain treatment and nursing can be further performed. The postoperative analgesia method comprises drug analgesia, physical analgesia, acupuncture analgesia and percutaneous nerve electrical stimulation therapy. And selecting a corresponding pain easing mode and a corresponding first pain treatment medicine according to the pain evaluation grade and the pain part of the first user. For example, users have different pain levels and different drugs have different levels of anesthesia.
Step S900: determining whether the first composite pain level is at a first threshold;
step S1000: if the first composite pain level is at the first threshold, obtaining a first treatment permission of a first nurse;
specifically, for surgical pain, when the user's pain level is within the first threshold, the nurse should select a method and medicine within the scope of authority to perform analgesic care for the user and may report the doctor, and when the pain level exceeds the first threshold, the nurse should report the doctor and the attending doctor determines the use of an effective analgesic.
Step S1100: screening the first pain treatment drug according to the first treatment authority to obtain first drug information;
step S1200 obtains a first sending instruction, sends the first medication information to the first nurse according to the first sending instruction, and allows the first nurse to perform medication on the first user.
Specifically, if the first comprehensive pain level is in the first threshold, after the treatment authority of the first nurse is obtained, the system automatically screens the first pain treatment drug, finally obtains a drug list after the nurse authority range, sends a screening result to the first nurse, and the first nurse carries out medication nursing on the first user according to the screening result, so that the safety and the effectiveness of pain nursing are improved.
Further, step S500 in the embodiment of the present application further includes:
step S501: obtaining first age information of the first user;
step S502: obtaining a first influence, the first influence being an influence of the first age information on the first composite pain level;
step S503: obtaining a first adjusting instruction according to the first influence degree;
step S504: and adjusting the first comprehensive pain level according to the first adjusting instruction.
Specifically, the first users have different ages and different sensitivities to pain. In general, younger people are more sensitive to pain than older people, so the first influence degree is obtained by obtaining age information of the first user and further analyzing the body sensitivity corresponding to the first age information, the first influence degree is used for evaluating the influence degree of the age of the first user on pain perception, and then the obtained first comprehensive pain level is adjusted by the first influence degree, so that the evaluation of the pain level of the user by the system is more accurate.
Further, step S504 in the embodiment of the present application further includes:
step S5041: obtaining first brightness information of a first ward;
step S5042: obtaining first volume information of the first ward;
step S5043: acquiring first temperature and humidity information of the first ward;
step S5044: obtaining a second influence degree according to the first brightness information, the first volume information and the first temperature and humidity information, wherein the second influence degree is the influence degree of the environment on the pain level of the user;
step S5045: judging whether the second influence degree is in a second threshold value;
step S5046: if the second influence degree exceeds the second threshold value, a second adjusting instruction is obtained;
step S5047: and adjusting the first comprehensive pain level according to the second adjusting instruction.
Specifically, the brightness, the temperature and the humidity and the volume information of a first ward where the first user is located are obtained through a photosensitive sensor, a temperature and humidity sensor and a volume tester respectively, the preset suitable environment information in the first ward is determined through the operation type of the first user, the obtained ward information and the preset information are analyzed and compared, and the second influence degree, namely the influence degree of the environment on the pain level of the user, is obtained. And judging whether the second influence degree exceeds the second threshold value, if so, indicating that the ward environment has certain influence on the pain feeling of the patient, adjusting the obtained first comprehensive pain grade, and adjusting the ward environment to an environment suitable for the first user to take a rest.
Further, step S700 in the embodiment of the present application further includes:
step S701: obtaining first complication information according to the first operation type;
step S702: obtaining first medical history information of the first user;
step S703: constructing a data training set, wherein the data training set comprises the first medical history information;
step S704: inputting the first medical history information in the data training set into a complication prediction model, taking the first complication information as supervision data of the complication prediction model, and training the complication prediction model;
step S705: obtaining a training result of the complication prediction model, wherein the training result is first prediction complication information of the first user;
step S706: determining the first pain location based on the first pre-estimated complication information and the first vital sign data.
Specifically, the past medical history information of the first user is obtained based on a big data technology, the type of the possibly occurring complication is predicted according to the first operation type, then the first medical history information in the data training set is input into the complication prediction model, the complication prediction model is a machine learning model, the first complication information is used as supervision data of the complication prediction model, and the complication prediction model is trained. The complication prediction model obtains a large amount of experience through continuous learning to enable a training result to be more accurate, so that the first prediction complication information is obtained, and the first pain part is further determined by combining the vital signs of the first user.
Further, step S706 in the embodiment of the present application further includes:
step S7061: obtaining a first body position of the first user;
step S7062: obtaining first pressurized part information from the first body part;
step S7063: obtaining a third influence degree of the first body position on the first pain position according to the first pressed position information;
step S7064: judging whether the third degree of influence exceeds a third threshold value;
step S7065: if the third degree of influence exceeds the third threshold, obtaining a third adjustment instruction;
step S7066: and obtaining a second sending instruction, and sending the third adjusting instruction to the first nurse, wherein the third adjusting instruction is used for adjusting the body position of the first user.
Specifically, it is not uncommon for pain to be caused by pressing the same part for a long time during operation, and the patient keeps a comfortable lying position after operation, which not only relieves pain, but also promotes respiratory circulation. After determining the first pain part of the first user, obtaining first position information of the first user by an image capturing device, judging whether the pain part is pressed by comparing the pressed part with the position of the estimated pain part, and further obtaining a third influence degree of the user position on the pain part, and adjusting the position of the first user according to the third influence degree, so that the efficiency of pain nursing of the user is further improved by intelligently analyzing the position of the user and evaluating.
Further, step S900 in the embodiment of the present application further includes:
step S901: if the first composite pain level exceeds the first threshold value, obtaining a third sending instruction;
step S902: sending the first pain treatment drug to a first primary doctor according to the third sending instruction, and screening the first pain treatment drug by the first primary doctor;
step S903: obtaining second drug information;
step S904: sending the second medication information to the first nurse.
Specifically, when the first comprehensive pain level exceeds the first threshold value and the first nurse cannot select the first user for the medicine, the first pain treatment medicine is automatically sent to a first main doctor by the system, the first main doctor screens the first pain treatment medicine after checking the first user, and a screening result is sent to the first nurse, so that the efficiency of pain nursing of the nurses is improved.
Further, step S902 in the embodiment of the present application further includes:
step S9021: obtaining first position information, wherein the first position information is position information of the first main doctor from the first user;
step S9022: judging whether the first position information exceeds a fourth threshold value;
step S9023: if the first position information exceeds the fourth threshold value, obtaining a second doctor, wherein the second doctor and the first main doctor are doctors in the same level and the same department;
step S9024: obtaining a fourth send instruction, and sending the first pain therapy medication to the second physician in accordance with the fourth send instruction.
Specifically, whether the first main doctor is far away from the first user or not is judged by obtaining the position information of the first main doctor, the pain condition of the first user cannot be checked in time, if the first position information exceeds the fourth threshold, the pain grade information of the first user and the first pain treatment medicine are sent to doctors with the distance within the fourth threshold and the same level as the first main doctor, and the second doctor screens the first pain treatment medicine after evaluating the first patient.
In summary, the pain nursing method for the user after the general surgery provided by the embodiment of the application has the following technical effects:
the facial information and the limb information of the first user are obtained through image recognition, and the facial pain grade and the limb pain grade of the first user are evaluated through the training model, so that the accurate first comprehensive pain grade is obtained according to the evaluation result and the physiological data of the user, and the data is processed based on the characteristic that the training model can continuously learn and obtain experience, so that the obtained first comprehensive pain grade is more accurate. And then, further determining a postoperative analgesia mode and selecting medicines according to the first comprehensive pain grade, so that the technical purpose of quickly and effectively nursing pain is achieved by accurately evaluating the pain grade of a user based on a training model.
Example two
Based on the same inventive concept as the pain nursing method for the user after general surgery, the invention also provides a pain nursing system for the user after general surgery, as shown in fig. 2, the system comprises:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining first image information of a first user;
a second obtaining unit 12, wherein the second obtaining unit 12 is configured to obtain first facial information and first limb information of the first user from the first image information;
the first input unit 13 is configured to input the first facial information and the first limb information to a first assessment model respectively for data training, so as to obtain first output information and second output information of the first assessment model, where the first output information is a first facial pain level, and the second output information is a first limb pain level;
a third obtaining unit 14, wherein the third obtaining unit 14 is configured to obtain first vital sign data of the first user;
a fourth obtaining unit 15, said fourth obtaining unit 15 being configured to obtain a first composite pain level depending on said first facial pain level, said first limb pain level and said first vital sign data;
a fifth obtaining unit 16, the fifth obtaining unit 16 being configured to obtain a first surgical type of the first user;
a sixth obtaining unit 17 for obtaining a first pain site in accordance with the first surgical type;
a seventh obtaining unit 18, the seventh obtaining unit 18 being adapted to obtain a first pain therapy medication in dependence of the first composite pain level and the first pain site;
a first judging unit 19, configured to judge whether the first composite pain level is at a first threshold value;
an eighth obtaining unit 20, configured to obtain a first treatment right of a first nurse if the first composite pain level is at the first threshold;
a ninth obtaining unit 21, where the ninth obtaining unit 21 is configured to screen the first pain treatment drug according to the first treatment authority to obtain first drug information;
a tenth obtaining unit 22, where the tenth obtaining unit 22 is configured to obtain a first sending instruction, send the first medication information to the first nurse according to the first sending instruction, and perform medication on the first user by the first nurse.
Further, the system further comprises:
an eleventh obtaining unit configured to obtain first age information of the first user;
a twelfth obtaining unit for obtaining a first influence degree, which is an influence degree of the first age information on the first composite pain level;
a thirteenth obtaining unit, configured to obtain a first adjustment instruction according to the first influence degree;
a first adjusting unit, configured to adjust the first comprehensive pain level according to the first adjusting instruction.
Further, the system further comprises:
a fourteenth obtaining unit for obtaining first luminance information of the first patient room;
a fifteenth obtaining unit configured to obtain first volume information of the first patient room;
a sixteenth obtaining unit, configured to obtain first temperature and humidity information of the first ward;
a seventeenth obtaining unit, configured to obtain a second influence degree according to the first brightness information, the first volume information, and the first temperature and humidity information, where the second influence degree is an influence degree of an environment on a pain level of a user;
a second judging unit, configured to judge whether the second influence degree is at a second threshold;
an eighteenth obtaining unit, configured to obtain a second adjustment instruction if the second influence exceeds the second threshold;
a second adjusting unit, configured to adjust the first comprehensive pain level according to the second adjusting instruction.
Further, the system further comprises:
a nineteenth obtaining unit for obtaining first complication information in accordance with the first surgical type;
a twentieth obtaining unit configured to obtain first medical history information of the first user;
a twenty-first obtaining unit, configured to construct a data training set, where the data training set includes the first medical history information;
the second input unit is used for inputting the first medical history information in the data training set into a complication prediction model, using the first complication information as supervision data of the complication prediction model, and training the complication prediction model;
a twenty-second obtaining unit, configured to obtain a training result of the complication prediction model, where the training result is first prediction complication information of the first user;
a twenty-third obtaining unit for determining the first pain site from the first pre-estimated complication information and the first vital sign data.
Further, the system further comprises:
a twenty-fourth obtaining unit for obtaining a first posture of the first user;
a twenty-fifth obtaining unit configured to obtain first pressed part information from the first body part;
a twenty-sixth obtaining unit configured to obtain a third influence degree of the first body position on the first pain site according to the first compression site information;
a third judging unit configured to judge whether the third degree of influence exceeds a third threshold;
a twenty-seventh obtaining unit, configured to obtain a third adjustment instruction if the third influence exceeds the third threshold;
a twenty-eighth obtaining unit, configured to obtain a second sending instruction, and send the third adjustment instruction to the first nurse, where the third adjustment instruction is used to adjust the body position of the first user.
Further, the system further comprises:
a twenty-ninth obtaining unit for obtaining a third send instruction if the first composite pain level exceeds the first threshold;
a first sending unit, configured to send the first pain therapy medication to a first attending physician according to the third sending instruction, and the first attending physician screens the first pain therapy medication;
a thirtieth obtaining unit for obtaining second medication information;
a second transmitting unit for transmitting the second medication information to the first nurse.
Further, the system further comprises:
a thirty-first obtaining unit, configured to obtain first position information, where the first position information is position information of the first main doctor from the first user;
a fourth judging unit configured to judge whether the first position information exceeds a fourth threshold;
a thirty-second obtaining unit, configured to obtain a second doctor if the first position information exceeds the fourth threshold, where the second doctor and the first main doctor are doctors in the same department of the same level;
a thirty-third obtaining unit for obtaining a fourth send instruction, upon which the first pain therapy medication is sent to the second doctor.
Various changes and specific examples of the pain nursing method for the post-general-surgery user in the first embodiment of fig. 1 are also applicable to the pain nursing system for the post-general-surgery user in the present embodiment, and a person skilled in the art can clearly know the pain nursing system for the post-general-surgery user in the present embodiment through the foregoing detailed description of the pain nursing method for the post-general-surgery user, so for the sake of brevity of the description, detailed descriptions thereof are omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of a post-general surgery user pain nursing method in the foregoing embodiments, the present invention further provides a post-general surgery user pain nursing system, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of any one of the aforementioned post-general surgery user pain nursing methods.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The application provides a pain nursing system for a user after general surgery, wherein the system comprises: a first obtaining unit configured to obtain first image information of a first user; a second obtaining unit configured to obtain first facial information and first limb information of the first user from the first image information; the first input unit is used for inputting the first facial information and the first limb information into a first evaluation model respectively for data training to obtain first output information and second output information of the first evaluation model, wherein the first output information is a first facial pain grade, and the second output information is a first limb pain grade; a third obtaining unit, configured to obtain first vital sign data of the first user; a fourth obtaining unit for obtaining a first composite pain level according to the first facial pain level, the first limb pain level and the first vital sign data; a fifth obtaining unit for obtaining a first surgical type of the first user; a sixth obtaining unit for obtaining a first pain site in accordance with the first surgical type; a seventh obtaining unit for obtaining a first pain therapy medication in dependence of the first composite pain level and the first pain location; a first judging unit for judging whether the first comprehensive pain level is at a first threshold value; an eighth obtaining unit, configured to obtain a first treatment permission of a first nurse if the first composite pain level is at the first threshold; a ninth obtaining unit, configured to screen the first pain treatment medication according to the first treatment permission, and obtain first medication information; a tenth obtaining unit, configured to obtain a first sending instruction, send the first medication information to the first nurse according to the first sending instruction, and perform medication on the first user by the first nurse.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A post-surgical pain care system for a user of general surgery, the system comprising:
a first obtaining unit configured to obtain first image information of a first user;
a second obtaining unit configured to obtain first facial information and first limb information of the first user from the first image information;
the first input unit is used for inputting the first facial information and the first limb information into a first evaluation model respectively for data training to obtain first output information and second output information of the first evaluation model, wherein the first output information is a first facial pain grade, and the second output information is a first limb pain grade;
a third obtaining unit, configured to obtain first vital sign data of the first user;
a fourth obtaining unit for obtaining a first composite pain level according to the first facial pain level, the first limb pain level and the first vital sign data;
a fifth obtaining unit for obtaining a first surgical type of the first user;
a sixth obtaining unit for obtaining a first pain site in accordance with the first surgical type;
a seventh obtaining unit for obtaining a first pain therapy medication in dependence of the first composite pain level and the first pain location;
a first judging unit for judging whether the first comprehensive pain level is at a first threshold value;
an eighth obtaining unit, configured to obtain a first treatment permission of a first nurse if the first composite pain level is at the first threshold;
a ninth obtaining unit, configured to screen the first pain treatment medication according to the first treatment permission, and obtain first medication information;
a tenth obtaining unit, configured to obtain a first sending instruction, send the first medication information to the first nurse according to the first sending instruction, and perform medication on the first user by the first nurse.
2. The system of claim 1, wherein the system comprises:
an eleventh obtaining unit configured to obtain first age information of the first user;
a twelfth obtaining unit for obtaining a first influence degree, which is an influence degree of the first age information on the first composite pain level;
a thirteenth obtaining unit, configured to obtain a first adjustment instruction according to the first influence degree;
a first adjusting unit, configured to adjust the first comprehensive pain level according to the first adjusting instruction.
3. The system of claim 2, wherein the system comprises:
a fourteenth obtaining unit for obtaining first luminance information of the first patient room;
a fifteenth obtaining unit configured to obtain first volume information of the first patient room;
a sixteenth obtaining unit, configured to obtain first temperature and humidity information of the first ward;
a seventeenth obtaining unit, configured to obtain a second influence degree according to the first brightness information, the first volume information, and the first temperature and humidity information, where the second influence degree is an influence degree of an environment on a pain level of a user;
a second judging unit, configured to judge whether the second influence degree is at a second threshold;
an eighteenth obtaining unit, configured to obtain a second adjustment instruction if the second influence exceeds the second threshold;
a second adjusting unit, configured to adjust the first comprehensive pain level according to the second adjusting instruction.
4. The system of claim 1, wherein the system comprises:
a nineteenth obtaining unit for obtaining first complication information in accordance with the first surgical type;
a twentieth obtaining unit configured to obtain first medical history information of the first user;
a twenty-first obtaining unit, configured to construct a data training set, where the data training set includes the first medical history information;
the second input unit is used for inputting the first medical history information in the data training set into a complication prediction model, using the first complication information as supervision data of the complication prediction model, and training the complication prediction model;
a twenty-second obtaining unit, configured to obtain a training result of the complication prediction model, where the training result is first prediction complication information of the first user;
a twenty-third obtaining unit for determining the first pain site from the first pre-estimated complication information and the first vital sign data.
5. The system of claim 4, wherein the system comprises:
a twenty-fourth obtaining unit for obtaining a first posture of the first user;
a twenty-fifth obtaining unit configured to obtain first pressed part information from the first body part;
a twenty-sixth obtaining unit configured to obtain a third influence degree of the first body position on the first pain site according to the first compression site information;
a third judging unit configured to judge whether the third degree of influence exceeds a third threshold;
a twenty-seventh obtaining unit, configured to obtain a third adjustment instruction if the third influence exceeds the third threshold;
a twenty-eighth obtaining unit, configured to obtain a second sending instruction, and send the third adjustment instruction to the first nurse, where the third adjustment instruction is used to adjust the body position of the first user.
6. The system of claim 1, wherein the system comprises:
a twenty-ninth obtaining unit for obtaining a third send instruction if the first composite pain level exceeds the first threshold;
a first sending unit, configured to send the first pain therapy medication to a first attending physician according to the third sending instruction, and the first attending physician screens the first pain therapy medication;
a thirtieth obtaining unit for obtaining second medication information;
a second transmitting unit for transmitting the second medication information to the first nurse.
7. The system of claim 6, wherein the system comprises:
a thirty-first obtaining unit, configured to obtain first position information, where the first position information is position information of the first main doctor from the first user;
a fourth judging unit configured to judge whether the first position information exceeds a fourth threshold;
a thirty-second obtaining unit, configured to obtain a second doctor if the first position information exceeds the fourth threshold, where the second doctor and the first main doctor are doctors in the same department of the same level;
a thirty-third obtaining unit for obtaining a fourth send instruction, upon which the first pain therapy medication is sent to the second doctor.
8. A post-general surgery user pain care method, wherein the method comprises:
obtaining first image information of a first user;
obtaining first facial information and first limb information of the first user from the first image information;
respectively inputting the first facial information and the first limb information into a first evaluation model for data training to obtain first output information and second output information of the first evaluation model, wherein the first output information is a first facial pain grade, and the second output information is a first limb pain grade;
obtaining first vital sign data of the first user;
obtaining a first composite pain level as a function of the first facial pain level, the first limb pain level, and the first vital sign data;
obtaining a first surgical type for the first user;
obtaining a first pain site according to the first surgical type;
obtaining a first pain treatment medication based on the first composite pain rating and the first pain location;
determining whether the first composite pain level is at a first threshold;
if the first composite pain level is at the first threshold, obtaining a first treatment permission of a first nurse;
screening the first pain treatment drug according to the first treatment authority to obtain first drug information;
and obtaining a first sending instruction, sending the first medicine information to the first nurse according to the first sending instruction, and carrying out medicine treatment on the first user by the first nurse.
9. A post-surgical pain care system for a user, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the system of any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110162562.6A CN112863637A (en) | 2021-02-05 | 2021-02-05 | Pain nursing system and method for users after general surgery |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110162562.6A CN112863637A (en) | 2021-02-05 | 2021-02-05 | Pain nursing system and method for users after general surgery |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112863637A true CN112863637A (en) | 2021-05-28 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110162562.6A Withdrawn CN112863637A (en) | 2021-02-05 | 2021-02-05 | Pain nursing system and method for users after general surgery |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112863637A (en) |
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2021
- 2021-02-05 CN CN202110162562.6A patent/CN112863637A/en not_active Withdrawn
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Application publication date: 20210528 |