CN115295110A - Postoperative complication prediction system and method - Google Patents
Postoperative complication prediction system and method Download PDFInfo
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- CN115295110A CN115295110A CN202211044150.3A CN202211044150A CN115295110A CN 115295110 A CN115295110 A CN 115295110A CN 202211044150 A CN202211044150 A CN 202211044150A CN 115295110 A CN115295110 A CN 115295110A
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Abstract
The invention provides a postoperative complication prediction system and a method, which relate to the technical field of artificial intelligence, and are characterized in that operation information of a target user is obtained; acquiring basic pathological evaluation information of a target user; obtaining real-time postoperative care evaluation information; acquiring complication prediction information based on the target user operation information, the basic pathology evaluation information and the real-time postoperative care evaluation information; and performing preventive care on the target user according to the complication prediction information. The method solves the technical problems that the generation of a postoperative complication prediction and prevention scheme in the prior art consumes more time of medical care personnel, and causes unnecessary waste of medical resources. The computer technology is used for collecting dynamic information of the patient to predict postoperative complications, and provides a targeted reference for the generation of a postoperative complication prevention scheme for medical workers, so that the technical effects of facilitating the medical workers to adjust the postoperative care scheme and prevent the postoperative complications and reducing the interference of the postoperative complications to the recovery of the patient are achieved.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a postoperative complication prediction system and method.
Background
In modern medicine, in the process of removing a focus of a patient by adopting surgical intervention, postoperative complications often appear in the process of removing the focus, so that medical staff usually selects a postoperative care scheme according to the physical condition and the surgical execution condition of the patient to remedy the physical injury of the patient and prevent the postoperative complications in order to strive for better treatment effect.
At present, the dependence of the determination of prevention means and prevention schemes of postoperative complications on the manual experience of medical staff is high, and the medical staff is required to obtain a large amount of comprehensive information of patients for postoperative complication prediction.
The technical problems that the generation of a postoperative complication prevention scheme has high dependence on the experience of medical workers, and the generation of the prevention scheme consumes more time of the medical workers, so that unnecessary waste of medical resources is caused exist in the prior art.
Disclosure of Invention
The application provides a postoperative complication prediction system and method, which are used for solving the technical problems that the generation of a postoperative complication prevention scheme in the prior art has higher dependence on the experience of medical care personnel, the generation of the prevention scheme consumes more time of the medical care personnel, and unnecessary waste of medical resources is caused.
In view of the above, the present application provides a system and method for predicting postoperative complications.
In a first aspect of the present application, there is provided a post-operative complication prediction system, the system comprising: the user information acquisition module is used for acquiring the operation information of the target user; the pathological information acquisition module is used for acquiring basic pathological evaluation information of the target user; the nursing evaluation obtaining module is used for obtaining real-time postoperative nursing evaluation information; the postoperative prediction analysis module is used for predicting postoperative complications based on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information to obtain complication prediction information; and the preventive care execution module is used for performing preventive care on the target user according to the complication prediction information.
In a second aspect of the present application, there is provided a method for predicting postoperative complications, the method comprising: obtaining surgical information of a target user; obtaining basic pathology evaluation information of the target user; obtaining real-time postoperative care evaluation information; performing postoperative complication prediction based on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information to obtain complication prediction information; and performing preventive care on the target user according to the complication prediction information.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method provided by the embodiment of the application, the operation information of the target user is obtained, the basic pathology evaluation information of the target user is obtained, the real-time postoperative care evaluation information is obtained, postoperative complication prediction information is obtained based on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information, the complication prediction information is provided for medical workers to refer, and the medical workers can generate a preventive care scheme based on the artificially and intelligently obtained complication prediction information. The method and the device have the advantages that reference is provided for medical staff to predict postoperative complications, the medical staff can adjust postoperative care schemes and prevent the postoperative complications, and the technical effect of interference effect on recovery of patients caused by the postoperative complications is reduced.
Drawings
Fig. 1 is a schematic flow chart of a method for predicting postoperative complications according to the present disclosure;
fig. 2 is a schematic flow chart illustrating obtaining of user basic pathology evaluation information in a method for predicting postoperative complications according to the present application;
fig. 3 is a schematic flow chart illustrating the process of obtaining real-time postoperative care evaluation information in a postoperative complication prediction method provided by the present application;
fig. 4 is a schematic structural diagram of a postoperative complication prediction system provided by the present application.
Description of reference numerals: the system comprises a user information acquisition module 11, a pathological information acquisition module 12, a nursing evaluation obtaining module 13, a postoperative prediction analysis module 14 and a preventive nursing execution module 15.
Detailed Description
The application provides a postoperative complication prediction system and method, which are used for solving the technical problems that the generation of a postoperative complication prevention scheme in the prior art has higher dependence on the experience of medical care personnel, the generation of the prevention scheme consumes more time of the medical care personnel, and unnecessary waste of medical resources is caused.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
and performing postoperative complication prediction based on the operation information, basic pathology evaluation information and real-time postoperative care evaluation information of the target user to obtain complication prediction information, providing the complication prediction information for medical staff to refer to generate a complication prevention scheme, and performing preventive care on the target user. The postoperative complication prediction method and the postoperative complication prediction device realize the reference for the postoperative complication prediction of medical workers, are convenient for the medical workers to adjust the postoperative care scheme and prevent the postoperative complications, and reduce the interference effect of the postoperative complications on the recovery of patients.
Example one
As shown in fig. 1, the present application provides a method for predicting postoperative complications, the method comprising:
s100, obtaining operation information of a target user;
specifically, in the present embodiment, the target user is a patient who has completed a surgical procedure, is in a post-operative clinical observation period or a post-operative recovery period. The operation information of the target user is an information set which is generated based on the historical operation notice of the target user and is convenient for postoperative diagnosis, such as the name of a disease for performing an operation, the information of medical staff participating in the operation, the anesthesia execution mode and the like.
S200, obtaining basic pathology evaluation information of the target user;
further, as shown in fig. 2, in the step S200 of obtaining the basic pathology evaluation information of the target user, the method provided by the present application further includes:
s210, obtaining a postoperative state evaluation result of the target user;
s220, acquiring preoperative body current information of the target user;
s230, obtaining the operation execution evaluation result of the target user;
s240, obtaining basic pathological evaluation information of the target user according to the postoperative state evaluation result, the preoperative body current status information and the operation execution evaluation result.
Specifically, the basic pathology evaluation is obtained by comprehensively evaluating the preoperative physical condition, the intraoperative surgical implementation condition and the postoperative target user condition of the target user, and can reflect the evaluation result of the degree of influence of the actual surgery performed on the physical pathology condition of the target user.
It should be understood that before the target user accepts the specific operation in the operation information, the target user needs to perform a preoperative physical examination to complete a physical health assessment examination, so as to perform optimization and improvement of the operation scheme and reduce the operation risk. The embodiment obtains the preoperative physical status information of the target user based on preoperative physical examination, and the preoperative physical status information may reflect various physical functions and physical index data information of the target user before performing an operation. And generating the postoperative state evaluation result of the target user according to the examination result of postoperative pathological examination of the target user after operation. And generating the operation execution evaluation result according to the operation information and the anesthesia implementation condition in the operation. And integrating the postoperative state evaluation result, the preoperative body current status information and the operation execution evaluation result to obtain basic pathology evaluation information of the target user.
The basic pathological evaluation of the patient is carried out on the physical state information of the patient from the preoperative physical examination to the postoperative examination overall process and the operation on the physical function intervention information of the patient, so that the technical effect of accurately knowing the influence condition of the operation intervention on the physical state of the patient is achieved, and the resource waste of the patient data collection and integration on medical staff is reduced.
S300: obtaining real-time postoperative care evaluation information;
further, as shown in fig. 3, in order to obtain real-time postoperative care evaluation information, the method provided by the present application further includes step S300:
s310, acquiring postoperative real-time monitoring information of the target user;
s320, extracting real-time postoperative care characteristics based on the postoperative real-time monitoring information;
and S330, acquiring real-time postoperative care evaluation information according to the real-time postoperative care characteristics.
Specifically, in this embodiment, the post-operation nursing evaluation of the target user is performed according to a comparison between post-operation nursing behaviors actually performed by the target user and a preset post-operation nursing rule, so as to obtain the real-time post-operation nursing evaluation information.
In this embodiment, the postoperative complication prediction system is in communication connection with an image acquisition device disposed in a hospital ward where the target user is located, and acquires postoperative real-time monitoring information of the target user based on the image acquisition device disposed in the hospital ward.
Presetting monitoring feature extraction rules including but not limited to a patient placement method feature, a placement body position feature, an illness state observation frequency feature and a vein fluid infusion frequency feature, extracting features of post-operation real-time monitoring information based on the monitoring feature extraction rules, and extracting to obtain the real-time post-operation nursing feature, wherein the placement method, the placed body position feature, the illness state observation frequency of medical staff, the vein fluid infusion flow rate and fluid infusion component information of a target user transferred from an operating room to clinical observation can be obtained based on the real-time post-operation nursing feature.
And according to the real-time postoperative care characteristics, evaluating the real-time postoperative care behaviors by combining with a preset postoperative care rule to obtain the real-time postoperative care evaluation information.
The embodiment extracts postoperative real-time nursing characteristics by collecting postoperative real-time monitoring information of a target user during postoperative clinical observation, evaluates the postoperative real-time nursing characteristics based on the extracted postoperative real-time body protecting characteristics, achieves the purpose of judging whether postoperative nursing accepted by the target user from the executing direction of postoperative nursing tasks meets the actual postoperative nursing requirements, provides a reference basis for subsequent postoperative complication prediction, and improves the technical effect of reliability of postoperative complication prediction results.
S400: performing postoperative complication prediction based on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information to obtain complication prediction information;
further, the postoperative complication prediction is performed based on the surgical information of the target user, the basic pathology evaluation information, and the real-time postoperative care evaluation information, so as to obtain complication prediction information, and the method step S400 provided by the present application further includes:
s410: performing curve fitting on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information through a linear regression algorithm to obtain a curve fitting result;
s420: and obtaining the complication prediction information according to the curve fitting result.
Specifically, in this embodiment, historical surgical diagnosis and treatment data with patient privacy hidden is obtained based on big data, and is processed to obtain surgical information of multiple groups of historical surgical patients, the basic pathology evaluation information, and the real-time postoperative care evaluation information. And (3) constructing a linear regression model, inputting the data into the linear regression model in a matrix form, carrying out model training, calculating the incidence relation between the postoperative complications and each information by curve fitting through the model, and outputting a complication prediction result.
Inputting various types of data information in the surgical information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information obtained in steps S100 to S300 of this embodiment into a linear regression model in a matrix form, and performing curve fitting through the linear regression model to obtain a curve fitting result reflecting an association relationship between various items of information and postoperative complications as the complication prediction information.
According to the method, the incidence relation between the operation information, the basic pathology evaluation information and the real-time postoperative care evaluation information of the target user and the postoperative complications is accurately analyzed by constructing and training the linear regression model, the postoperative complications prediction result which is possibly generated by the target user is obtained, the postoperative complications prediction reference information is provided for medical staff, and the technical effects that the time consumed by the medical staff for carrying out operation patient information analysis processing is reduced are achieved.
And S500, performing preventive care on the target user according to the complication prediction information.
Specifically, in this embodiment, the complication prediction information, the operation information of the target user, the basic pathology evaluation information, and the real-time postoperative care evaluation information are provided to the medical care professional as output information, and the medical care professional performs generation of a preventive care plan of the target user and adjustment of a postoperative care rule of the target user based on the information reference.
The method provided by the embodiment of the application obtains basic pathology evaluation information of a target user by obtaining operation information of the target user, obtains real-time postoperative care evaluation information, performs postoperative complication prediction based on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information, obtains complication prediction information, provides the complication prediction information for medical care personnel for reference, and enables the medical care personnel to generate a preventive care scheme based on the complication prediction information obtained by artificial intelligence. The method and the device have the advantages that reference is provided for medical staff to predict postoperative complications, the medical staff can adjust postoperative care schemes and prevent postoperative complications conveniently, and the technical effect of interference effect on recovery of patients caused by postoperative complications is reduced.
Further, in order to obtain the post-operation state evaluation result of the target user, step S210 of the method provided by the present application further includes:
s211, acquiring basic disease information of the target user;
s212, acquiring mental state information of the target user;
and S213, performing postoperative state evaluation based on the mental state information and the basic disease information to obtain an postoperative state evaluation result of the target user.
Further, the post-operation state assessment is performed based on the mental state information and the basic disease information to obtain a post-operation state assessment result of the target user, and the method step S213 provided by the present application further includes:
s213-1, constructing a postoperative state evaluation table based on big data;
s213-2, comparing the mental state information and the basic disease information with the postoperative state evaluation table to obtain an postoperative state evaluation result of the target user.
Specifically, in this embodiment, the big data is traversed to obtain multiple sets of basic disease-mental state-post-operation state information with the patient privacy hidden and corresponding to the patient, and the post-operation state evaluation table is constructed.
The post-operation state evaluation result of the target user is generated according to the examination result of the post-operation pathological examination performed by the target user after the operation. Preferably, the basic disease information of the target user including but not limited to basic metabolic disorder diseases, immune hypofunction diseases and chronic wasting diseases is obtained according to the postoperative pathological detection result of the target user, and the mental state information of the postoperative target user during a certain period of time for releasing anesthesia is obtained.
The method comprises the steps of generating retrieval instructions for the actually obtained mental state information and basic disease information of the target user, traversing the postoperative state evaluation table to obtain patients consistent with the basic diseases and the mental states of the target user, and taking the postoperative state information of the patients as postoperative state evaluation results of the target user in the embodiment, so that medical workers can more accurately and quickly make postoperative state evaluation on the target user by referring to the postoperative state evaluation results.
The postoperative state evaluation result with referential property is acquired from the postoperative state evaluation table based on the basic disease information and the mental state information of the target user, so that the technical effect of assisting medical personnel to quickly and accurately make postoperative state evaluation on a patient is achieved.
Further, according to the real-time postoperative care feature, real-time postoperative care evaluation information is obtained, and the method provided by the present application further includes step S330:
s331, setting a preset nursing rule according to the operation information of the target user;
s332, calculating the matching degree of the real-time postoperative care features and the preset care rules;
and S333, obtaining the real-time postoperative care evaluation information according to the matching degree.
Specifically, in this embodiment, a surgical information-care rule database is constructed by collecting a plurality of pieces of surgical information for hiding privacy of patients and care rule information correspondingly given by medical staff according to big data.
And generating a retrieval instruction according to the operation information of the target user, traversing the operation information-care rule database to perform feature comparison, obtaining care rule information corresponding to the most approximate operation information of the patient, and providing the care rule information for the attending physician of the target user to refer to the preset care rule of the target user.
Acquiring a patient placement standard image, a post-placement body position standard image, a medical staff illness state observation frequency standard, a vein fluid infusion flow rate and fluid infusion component standard information image in the preset nursing rule based on big data, and comparing and calculating image consistency of real-time postoperative nursing characteristics of a target user and each nursing behavior in the preset nursing rule to obtain an image matching degree result; and obtaining the real-time postoperative care evaluation information according to the matching degree.
According to the embodiment, the image comparison matching is carried out on the post-operation nursing characteristics actually accepted by the target user and the preset nursing rules given by the medical staff, so that the technical effect of accurately knowing whether the post-operation nursing accepted by the target user meets the nursing rule requirements given by the medical staff is achieved.
Example two
Based on the same inventive concept as one of the postoperative complication prediction methods in the foregoing embodiments, as shown in fig. 4, the present application provides a postoperative complication prediction system, wherein the system includes:
the user information acquisition module 11 is used for acquiring the operation information of a target user;
a pathology information acquisition module 12, configured to obtain basic pathology evaluation information of the target user;
a nursing evaluation obtaining module 13, configured to obtain real-time postoperative nursing evaluation information;
a postoperative prediction analysis module 14, configured to perform postoperative complication prediction based on the operation information of the target user, the basic pathology evaluation information, and the real-time postoperative care evaluation information, to obtain complication prediction information;
and a preventive care execution module 15, configured to perform preventive care on the target user according to the complication prediction information.
Further, the pathological information collection module comprises:
the postoperative state evaluation unit is used for obtaining an postoperative state evaluation result of the target user;
the user current situation acquisition unit is used for acquiring preoperative body current situation information of the target user;
a surgical execution evaluation unit for obtaining a surgical execution evaluation result of the target user;
and the information analysis and evaluation unit is used for obtaining basic pathological evaluation information of the target user according to the postoperative state evaluation result, the preoperative body current status information and the operation execution evaluation result.
Further, the post-operative state evaluation unit includes:
a basic disease obtaining unit, configured to obtain basic disease information of the target user;
a mental state obtaining unit for obtaining mental state information of the target user;
and the information integration evaluation unit is used for performing postoperative state evaluation on the basis of the mental state information and the basic disease information to obtain an postoperative state evaluation result of the target user.
Further, the information integration evaluation unit includes:
the evaluation reference construction unit is used for constructing a postoperative state evaluation table based on the big data;
and the evaluation information comparison unit is used for comparing the mental state information and the basic disease information with the postoperative state evaluation table to obtain an postoperative state evaluation result of the target user.
Further, the care assessment obtaining module comprises:
the monitoring information obtaining unit is used for obtaining postoperative real-time monitoring information of the target user;
the nursing characteristic extracting unit is used for extracting real-time postoperative nursing characteristics based on the postoperative real-time monitoring information;
and the nursing characteristic analysis unit is used for acquiring real-time postoperative nursing evaluation information according to the real-time postoperative nursing characteristics.
Further, the care feature analysis unit includes:
a nursing rule generating unit for setting a predetermined nursing rule according to the operation information of the target user;
the rule characteristic matching unit is used for calculating the matching degree of the real-time postoperative care characteristics and the preset care rules;
and the matching result evaluation unit is used for obtaining the real-time postoperative care evaluation information according to the matching degree.
Further, the post-operation prediction analysis module includes:
the curve fitting execution unit is used for performing curve fitting on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information through a linear regression algorithm to obtain a curve fitting result;
and the complication prediction obtaining unit is used for obtaining the complication prediction information according to the curve fitting result.
Any of the methods or steps described above may be stored as computer instructions or programs in various non-limiting types of computer memory and identified by various non-limiting types of computer processors to implement any of the methods or steps described above.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (8)
1. A post-operative complication prediction system, the system comprising:
the user information acquisition module is used for acquiring the operation information of the target user;
the pathological information acquisition module is used for acquiring basic pathological evaluation information of the target user;
the nursing evaluation obtaining module is used for obtaining real-time postoperative nursing evaluation information;
the postoperative prediction analysis module is used for predicting postoperative complications based on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information to obtain complication prediction information;
and the preventive care execution module is used for performing preventive care on the target user according to the complication prediction information.
2. The system of claim 1, wherein the pathology information acquisition module comprises:
the post-operation state evaluation unit is used for obtaining a post-operation state evaluation result of the target user;
the user current situation acquisition unit is used for acquiring preoperative body current situation information of the target user;
a surgical execution evaluation unit for obtaining a surgical execution evaluation result of the target user;
and the information analysis and evaluation unit is used for obtaining basic pathological evaluation information of the target user according to the postoperative state evaluation result, the preoperative body current status information and the operation execution evaluation result.
3. The system of claim 2, wherein the post-operative state assessment unit comprises:
a basic disease obtaining unit, configured to obtain basic disease information of the target user;
a mental state obtaining unit for obtaining mental state information of the target user;
and the information integration evaluation unit is used for performing postoperative state evaluation on the basis of the mental state information and the basic disease information to obtain an postoperative state evaluation result of the target user.
4. The system of claim 3, wherein the information-integration evaluation unit comprises:
the evaluation reference construction unit is used for constructing a postoperative state evaluation table based on big data;
and the evaluation information comparison unit is used for comparing the mental state information and the basic disease information with the postoperative state evaluation table to obtain an postoperative state evaluation result of the target user.
5. The system of claim 1, wherein the care-assessment-obtaining module comprises:
the monitoring information obtaining unit is used for obtaining postoperative real-time monitoring information of the target user;
the nursing characteristic extracting unit is used for extracting real-time postoperative nursing characteristics based on the postoperative real-time monitoring information;
and the nursing characteristic analysis unit is used for acquiring real-time postoperative nursing evaluation information according to the real-time postoperative nursing characteristics.
6. The system of claim 5, wherein the care feature analysis unit comprises:
a nursing rule generating unit for setting a predetermined nursing rule according to the operation information of the target user;
the rule feature matching unit is used for calculating the matching degree of the real-time postoperative care features and the preset care rules;
and the matching result evaluation unit is used for obtaining the real-time postoperative care evaluation information according to the matching degree.
7. The system of claim 1, wherein the post-operative predictive analysis module comprises:
the curve fitting execution unit is used for performing curve fitting on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information through a linear regression algorithm to obtain a curve fitting result;
and the complication prediction obtaining unit is used for obtaining the complication prediction information according to the curve fitting result.
8. A method of predicting a postoperative complication, the method comprising:
obtaining surgical information of a target user;
obtaining basic pathological evaluation information of the target user;
obtaining real-time postoperative care evaluation information;
performing postoperative complication prediction based on the operation information of the target user, the basic pathology evaluation information and the real-time postoperative care evaluation information to obtain complication prediction information;
and performing preventive care on the target user according to the complication prediction information.
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| CN202211044150.3A CN115295110A (en) | 2022-08-30 | 2022-08-30 | Postoperative complication prediction system and method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117457169A (en) * | 2023-12-15 | 2024-01-26 | 深圳市尼罗河移动互联科技有限公司 | Pediatric postoperative health care management method and system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117457169A (en) * | 2023-12-15 | 2024-01-26 | 深圳市尼罗河移动互联科技有限公司 | Pediatric postoperative health care management method and system |
| CN117457169B (en) * | 2023-12-15 | 2024-03-05 | 深圳市尼罗河移动互联科技有限公司 | Pediatric postoperative health care management method and system |
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Application publication date: 20221104 |
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