Medical Care Requirement Recognition Method and System Based on Information Fusion
By combining rehabilitation data, psychological monitoring data and nursing feedback data, and using information fusion technology to identify nursing needs, it solves the problem that it is difficult to accurately identify nursing needs from multiple dimensions in the existing technology, and improves the accuracy and efficiency of nursing needs identification.
Patent Information
- Application Number
- CN202510423451.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-07
- Publication Date
- 2025-07-29
- Estimated Expiration
- 2045-04-07
AI Technical Summary
The existing medical care needs identification methods are difficult to accurately identify nursing needs from different dimensions, resulting in poor identification results.
By obtaining the target patients' historical rehabilitation data, historical psychological monitoring data and historical nursing feedback data, the rehabilitation status detection unit, psychological monitoring unit and nursing feedback detection unit determine the timing rehabilitation characteristics, timing psychological characteristics and timing nursing feedback characteristics, and formulate a nursing adjustment plan based on the nursing needs adjustment model.
Accurate identification of nursing needs from the rehabilitation dimension, psychological dimension and nursing feedback dimension, and improve the accuracy and efficiency of nursing needs identification.
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Figure CN119943256B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of nursing need identification, and more specifically, to a medical nursing need identification method and system based on information fusion. Background Art
[0002] In the existing medical nursing field, the need identification method mainly relies on the subjective judgment of medical staff and the self-report of patients. The existing need identification methods usually include regular health assessments, patient interviews, and inferring their nursing needs by observing the physiological and behavioral responses of patients. Medical staff will comprehensively evaluate the health status of patients based on indicators such as the patient's medical history, clinical symptoms, and vital signs, so as to determine the required nursing level and services. However, this method with strong subjectivity often has certain limitations. For example, differences in the work experience of medical staff may lead to inconsistencies in need identification.
[0003] With the development of information technology, some emerging technologies have begun to be applied to medical nursing need identification. For example, using big data analysis and machine learning algorithms, potential nursing needs of patients can be mined from a large amount of medical data. These technologies can predict possible health problems of patients by analyzing the patient's electronic health records, laboratory test results, and physiological data collected by wearable devices, so as to formulate corresponding nursing plans in advance. Although these methods show potential in improving the accuracy and efficiency of nursing need identification, it is difficult for them to accurately identify nursing needs from different dimensions in actual applications. Summary of the Invention
[0004] The purpose of this application is to provide a medical nursing need identification method and system based on information fusion, which solves the technical problem of difficult to accurately identify nursing needs from different dimensions, and achieves the technical effect of accurately identifying nursing needs starting from the characteristics of different dimensions.
[0005] A medical nursing need identification method based on information fusion provided by an embodiment of this application includes: obtaining the historical rehabilitation data, historical psychological monitoring data, and historical nursing feedback data of the target patient; through the rehabilitation status detection unit, determining the sequential rehabilitation characteristics of the target patient according to the historical rehabilitation data; through the psychological monitoring unit, determining the sequential psychological characteristics of the target patient according to the historical psychological monitoring data; and through the nursing feedback detection unit, determining the sequential nursing feedback characteristics of the target patient according to the historical nursing feedback data; through the nursing need adjustment model, determining the nursing adjustment plan of the target patient according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient.
[0006] In a possible implementation, the method further includes: determining, by a confidence detection unit, a psychology-nursing feedback confidence based on the temporal psychological characteristics and the temporal nursing feedback characteristics; when the psychology-nursing feedback confidence is greater than or equal to a preset psychology-nursing feedback confidence, determining, by a nursing requirement adjustment model, a nursing adjustment plan for the target patient based on the temporal rehabilitation characteristics, the temporal psychological characteristics, and the temporal nursing feedback characteristics of the target patient; when the psychology-nursing feedback confidence is less than the preset psychology-nursing feedback confidence, determining, by the nursing requirement adjustment model, a nursing adjustment plan for the target patient based on the temporal rehabilitation characteristics of the target patient.
[0007] In another possible implementation, the method further includes: when the psychology-nursing feedback confidence is less than the preset psychology-nursing feedback confidence, determining, by a confidence segmentation unit, a plurality of first time periods in which the psychology-nursing feedback confidence is greater than or equal to the preset psychology-nursing feedback confidence, and determining a nursing adjustment plan for the target patient based on the temporal rehabilitation characteristics, the temporal psychological characteristics, and the temporal nursing feedback characteristics of the target patient within the plurality of first time periods.
[0008] In another possible implementation, the method further includes: obtaining rehabilitation data, psychological monitoring data, and nursing feedback data respectively corresponding to the target patient applying a plurality of nursing adjustment plans, and determining, by the confidence detection unit, the psychology-nursing feedback confidence respectively corresponding to the plurality of nursing adjustment plans based on the psychological monitoring data and the nursing feedback data respectively corresponding to the plurality of nursing adjustment plans; determining the difference between the psychology-nursing feedback confidence after applying each nursing adjustment plan and the psychology-nursing feedback confidence before applying each nursing adjustment plan as the psychology-nursing feedback confidence difference corresponding to each nursing adjustment plan; when the first psychology-nursing feedback confidence difference corresponding to the first nursing adjustment plan is greater than or equal to the preset psychology-nursing feedback confidence difference, determining a first nursing optimization plan corresponding to the first nursing adjustment plan based on the rehabilitation data, the psychological monitoring data, and the nursing feedback data corresponding to the first nursing adjustment plan.
[0009] In another possible implementation, through a confidence detection unit, the psychological-nursing feedback confidence levels corresponding to multiple nursing adjustment plans are determined based on the psychological monitoring data and nursing feedback data respectively corresponding to the multiple nursing adjustment plans, including: obtaining multiple first time periods corresponding to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics for determining each nursing adjustment plan, and determining the time overlap degree of the multiple first time periods corresponding to each nursing adjustment plan; wherein, the time overlap degree is the ratio of the duration of the overlapping time periods among the multiple first time periods to the total duration of the multiple first time periods; determining the psychological-nursing feedback confidence levels corresponding to the multiple nursing adjustment plans based on the psychological monitoring data and nursing feedback data respectively corresponding to the multiple nursing adjustment plans, and multiplying the psychological-nursing feedback confidence level corresponding to each nursing adjustment plan by the time overlap degree to adjust the psychological-nursing feedback confidence level corresponding to each nursing adjustment plan.
[0010] In another possible implementation, the method further includes: when the difference in the first psychological-nursing feedback confidence level corresponding to the first nursing adjustment plan is less than a preset psychological-nursing feedback confidence level difference, through a nursing level adjustment unit, determining the nursing level adjustment information corresponding to the first nursing adjustment plan based on the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan, and adjusting the nursing level of the target patient according to the nursing level adjustment information.
[0011] In another possible implementation, through a nursing level adjustment unit, determining the nursing level adjustment information corresponding to the first nursing adjustment plan based on the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan, including: obtaining multiple first time periods corresponding to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics for determining the first nursing adjustment plan, and obtaining the first nursing resource value within the multiple first time periods corresponding to the first nursing adjustment plan; through the nursing level adjustment unit, determining the nursing level adjustment information corresponding to the first nursing adjustment plan based on the rehabilitation data, psychological monitoring data, nursing feedback data, and the first nursing resource value within the multiple first time periods corresponding to the first nursing adjustment plan, and adjusting the nursing level of the first nursing adjustment plan according to the nursing level adjustment information.
[0012] In another possible implementation, through the nursing level adjustment unit, according to the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan, the nursing level adjustment information corresponding to the first nursing adjustment plan is determined, and it further includes: determining the remaining time period of the time period corresponding to the first nursing adjustment plan except for the multiple first time periods, obtaining the second nursing resource value within the remaining time period, and determining the nursing resource ratio of the first nursing resource value and the second nursing resource value; when the nursing resource ratio is within the preset nursing resource ratio range, through the nursing level adjustment unit, according to the rehabilitation data, psychological monitoring data, nursing feedback data, and the first nursing resource value within the multiple first time periods corresponding to the first nursing adjustment plan, determine the nursing level adjustment information corresponding to the first nursing adjustment plan, and adjust the nursing level of the first nursing adjustment plan according to the nursing level adjustment information. When the nursing resource ratio is not within the preset nursing resource ratio range, prompt to adjust the nursing resources for the multiple first time periods and the remaining time period; wherein, the preset nursing resource ratio range is from 0.7 to 1.5.
[0013] In another possible implementation, the method further includes: when the nursing resource ratio is not within the preset nursing resource ratio range, after evenly adjusting the nursing resources for the multiple first time periods and the remaining time period, through the nursing level adjustment unit, according to the rehabilitation data, psychological monitoring data, nursing feedback data, and the first nursing resource value within the multiple first time periods corresponding to the first nursing adjustment plan, determine the nursing level adjustment information corresponding to the first nursing adjustment plan, and adjust the nursing level of the first nursing adjustment plan according to the nursing level adjustment information.
[0014] The embodiment of the present application further provides a medical nursing demand recognition system based on information fusion. This medical nursing demand recognition system based on information fusion includes a unit for executing the method described in any one of the above.
[0015] The beneficial effects of the embodiment of the present application compared with the prior art are:
[0016] The embodiment of the present application provides a method for identifying medical care needs based on information fusion. The method includes: obtaining the historical rehabilitation data, historical psychological monitoring data, and historical nursing feedback data of the target patient; through the rehabilitation status detection unit, determining the sequential rehabilitation characteristics of the target patient according to the historical rehabilitation data; through the psychological monitoring unit, determining the sequential psychological characteristics of the target patient according to the historical psychological monitoring data; and through the nursing feedback detection unit, determining the sequential nursing feedback characteristics of the target patient according to the historical nursing feedback data; through the nursing needs adjustment model, determining the nursing adjustment plan of the target patient according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient. In the embodiment of the present application, it is possible to accurately identify the nursing needs from the rehabilitation dimension, psychological dimension, and nursing feedback dimension by combining the historical rehabilitation data, historical psychological monitoring data, and historical nursing feedback data in the nursing process, improving the identification effect of medical care needs. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0018] Figure 1 It is a schematic flowchart of the first method for identifying medical care needs based on information fusion provided by the embodiment of the present application;
[0019] Figure 2 It is a schematic working flowchart of a method for identifying medical care needs based on information fusion provided by the embodiment of the present application;
[0020] Figure 3 It is a schematic flowchart of the second method for identifying medical care needs based on information fusion provided by the embodiment of the present application;
[0021] Figure 4 It is a schematic flowchart of the third method for identifying medical care needs based on information fusion provided by the embodiment of the present application;
[0022] Figure 5 It is a schematic flowchart of the fourth method for identifying medical care needs based on information fusion provided by the embodiment of the present application;
[0023] Figure 6 It is a schematic flowchart of the fourth method for identifying medical care needs based on information fusion provided by the embodiment of the present application;
[0024] Figure 7Schematic diagram of the logical structure of a medical care demand recognition system based on information fusion provided by an embodiment of the present application. Detailed implementation manners
[0025] It should be understood that when used in the specification of the present application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.
[0026] It should also be understood that the term "and / or" as used in the specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.
[0027] As used in the specification of the present application and the appended claims, the term "if" can be interpreted as "when", "once", "in response to determining", or "in response to detecting" according to the context. Similarly, the phrase "if determined" or "if [the described condition or event] is detected" can be interpreted as meaning "once determined", "in response to determining", "once [the described condition or event] is detected", or "in response to detecting [the described condition or event]" according to the context.
[0028] In addition, in the description of the specification of the present application and the appended claims, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.
[0029] Reference to "one embodiment" or "some embodiments" etc. described in the specification of the present application means that a specific feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "comprising", "including", "having", and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.
[0030] Existing nursing demand recognition methods show potential in improving the accuracy and efficiency of nursing demand recognition, but it is difficult for them to accurately recognize nursing demands from different dimensions in practical applications.
[0031] For the above reasons, the embodiments of the present application provide a method for identifying medical care needs based on information fusion. The method includes: obtaining the historical rehabilitation data, historical psychological monitoring data, and historical nursing feedback data of the target patient; through the rehabilitation status detection unit, determining the temporal rehabilitation characteristics of the target patient according to the historical rehabilitation data; through the psychological monitoring unit, determining the temporal psychological characteristics of the target patient according to the historical psychological monitoring data; and through the nursing feedback detection unit, determining the temporal nursing feedback characteristics of the target patient according to the historical nursing feedback data; through the nursing needs adjustment model, determining the nursing adjustment plan of the target patient according to the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal nursing feedback characteristics of the target patient. In the embodiments of the present application, it is possible to combine the historical rehabilitation data, historical psychological monitoring data, and historical nursing feedback data in the nursing process to accurately identify the nursing needs from the rehabilitation dimension, psychological dimension, and nursing feedback dimension, improving the identification effect of medical care needs.
[0032] In some scenarios, a method for identifying medical care needs based on information fusion in the embodiments of the present application can be applied to medical care identification in hospitals, and can efficiently identify nursing needs in the nursing scenarios of hospitals, improving the effect in hospital nursing.
[0033] In other scenarios, a method for identifying medical care needs based on information fusion in the embodiments of the present application can also be applied to nursing identification in professional nursing institutions, and can accurately identify the nursing needs of the elderly and disabled, improving the nursing effect on the elderly and disabled.
[0034] The following specifically describes a method for identifying medical care needs based on information fusion provided by the embodiments of the present application with specific examples.
[0035] Figure 1 is a schematic flow chart of the first method for identifying medical care needs based on information fusion provided by the embodiments of the present application. As Figure 1 shown, this method includes S110 to S120, and the following specifically describes S110 to S120.
[0036] S110. Obtain the historical rehabilitation data, historical psychological monitoring data, and historical nursing feedback data of the target patient. Through the rehabilitation status detection unit, determine the temporal rehabilitation characteristics of the target patient according to the historical rehabilitation data. Through the psychological monitoring unit, determine the temporal psychological characteristics of the target patient according to the historical psychological monitoring data. And through the nursing feedback detection unit, determine the temporal nursing feedback characteristics of the target patient according to the historical nursing feedback data.
[0037] Figure 2 is a schematic working flow chart of a method for identifying medical care needs based on information fusion provided by the embodiments of the present application. AsFigure 2 As shown, the method can first obtain the historical rehabilitation data, historical psychological monitoring data, and historical nursing feedback data of the target patient. The historical rehabilitation data is obtained from the historical data of the medical process, the historical psychological monitoring data is obtained from the psychological assessment data of the target patient, and the historical nursing feedback data is obtained by collecting the nursing feedback of the target patient.
[0038] Exemplarily, the historical rehabilitation data may include rehabilitation data such as the muscle strength test data of the target patient, the walking ability assessment record, the joint range of motion, and the balance ability test. The muscle strength test data record includes the muscle strength levels of the patient at different time points, such as the left hand grip strength increasing from 30 Newtons to 50 Newtons; the walking ability assessment record includes the patient's walking speed, step length, gait symmetry, etc., such as the patient's initial walking speed being 0.5 m / s and increasing to 0.8 m / s after a period of rehabilitation; the joint range of motion includes recording the changes in the patient's joint range of motion, such as the abduction angle of the shoulder joint increasing from 100 degrees to 150 degrees; the balance ability test includes recording the balance scores of the patient in different tests, such as the Berg balance scale score increasing from 40 points to 56 points.
[0039] Exemplarily, the historical psychological monitoring data may include the Self-Rating Depression Scale (SDS), the Self-Rating Anxiety Scale (SAS), and the psychological state diary. The Self-Rating Depression Scale includes data such as recording the SDS scores of the patient at different time points, such as the patient's initial score being 60 points (mild depression) and dropping to 45 points (normal) after psychological intervention; the Self-Rating Anxiety Scale includes data such as recording the SAS scores of the patient at different time points, such as the patient's initial score being 70 points (moderate anxiety) and dropping to 50 points (normal) after psychological treatment; the psychological state diary includes data such as recording the patient's daily mood changes, sleep quality, appetite, etc., such as the patient having large mood swings during a certain period and the mood gradually stabilizing after psychological counseling.
[0040] Exemplarily, it may include nursing records, nursing satisfaction surveys, and nursing problem feedback. The nursing records include data such as recording the daily nursing measures, medication conditions, adverse reactions, etc. of the patient, such as the patient developing a rash after using a certain drug and the symptoms disappearing after adjusting the drug; the nursing satisfaction survey includes data such as recording the satisfaction scores of the patient for the nursing service, such as the patient's initial satisfaction score being 80 points and increasing to 95 points after improving the nursing measures; the nursing problem feedback includes data such as recording the problems and suggestions of the patient and their family members regarding the nursing process, such as the patient's family member reporting that the ward temperature is relatively low and the patient's comfort level improving after adjustment.
[0041] Such as Figure 2As shown, in the embodiments of the present application, the rehabilitation status detection unit can determine the temporal rehabilitation characteristics of the target patient based on historical rehabilitation data, and the temporal rehabilitation characteristics characterize the rehabilitation characteristics of the target patient in terms of time series; at the same time, the psychological monitoring unit can determine the temporal psychological characteristics of the target patient based on historical psychological monitoring data, and the temporal psychological characteristics characterize the psychological state characteristics of the target patient in terms of time series; at the same time, the nursing feedback detection unit can determine the temporal nursing feedback characteristics of the target patient based on historical nursing feedback data, and the temporal nursing feedback characteristics characterize the characteristics of the target patient's nursing feedback in terms of time series. Furthermore, the nursing plan for the target patient can be accurately determined through the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal nursing feedback characteristics.
[0042] Exemplarily, the rehabilitation status detection unit, the psychological monitoring unit, and the nursing feedback detection unit can be time series detection models based on LSTM, enabling the rehabilitation status detection unit, the psychological monitoring unit, and the nursing feedback detection unit to detect the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal nursing feedback characteristics in terms of time series.
[0043] S120. Through the nursing demand adjustment model, determine the nursing adjustment plan for the target patient based on the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal nursing feedback characteristics of the target patient.
[0044] After obtaining the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal nursing feedback characteristics, the nursing demand adjustment model can be used to determine the nursing adjustment plan for the target patient based on the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal nursing feedback characteristics of the target patient, so that the nursing adjustment plan can integrate the characteristics of the target patient's rehabilitation status, psychological state, and nursing feedback state, improving the recognition effect of the nursing demand of the target patient.
[0045] The beneficial effect of the above implementation method is that the nursing adjustment plan can integrate the characteristics of the target patient's rehabilitation status, psychological state, and nursing feedback state, and can improve the recognition effect of the nursing demand of the target patient.
[0046] Figure 3 This is a schematic flowchart of the second information fusion-based medical nursing demand recognition method provided by the embodiments of the present application. As Figure 3 shown, the above method further includes S130 to S140, which will be specifically described below.
[0047] S130. Through the confidence detection unit, determine the psychological-nursing feedback confidence based on the temporal psychological characteristics and temporal nursing feedback characteristics.
[0048] In the embodiments of the present application, in order to improve the accuracy of identifying nursing needs, psychological and nursing feedback can be detected first to avoid the failure of nursing need identification caused by the unstable psychological state of the target patient and the distortion of nursing feedback data. Furthermore, a confidence detection unit can determine the psychological-nursing feedback confidence according to the sequential psychological characteristics and sequential nursing feedback characteristics.
[0049] Exemplarily, the confidence detection unit can detect the correlation between the psychological state and the nursing feedback to help evaluate the reliability of the psychological state and the nursing feedback. At a lower psychological-nursing feedback confidence, it may mean that the feedback on nursing measures is distorted due to the fluctuation of the psychological state of the target patient.
[0050] Exemplarily, the confidence detection unit can be trained with labeled data including the psychological state, nursing feedback, and the confidence corresponding to the psychological state and nursing feedback. The psychological state and nursing feedback can be scoring data, and can also be natural language texts. The confidence corresponding to the psychological state and nursing feedback can be a scoring value, and the confidence corresponding to the psychological state and nursing feedback can be between 0 and 10.
[0051] S140. When the psychological-nursing feedback confidence is greater than or equal to the preset psychological-nursing feedback confidence, a nursing need adjustment model is used to determine the nursing adjustment plan for the target patient according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient. When the psychological-nursing feedback confidence is less than the preset psychological-nursing feedback confidence, a nursing need adjustment model is used to determine the nursing adjustment plan for the target patient according to the sequential rehabilitation characteristics of the target patient.
[0052] After obtaining the psychological-nursing feedback confidence, the psychological-nursing feedback confidence can be judged. When the psychological-nursing feedback confidence is greater than or equal to the preset psychological-nursing feedback confidence, it indicates that the psychological-nursing feedback confidence is relatively high at this time, and there is no distortion of the feedback on nursing measures due to the fluctuation of the psychological state of the target patient. Furthermore, a nursing need adjustment model can be used to determine the nursing adjustment plan for the target patient according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient.
[0053] Exemplarily, when the psychological state of the target patient fluctuates greatly and the nursing feedback data fluctuates greatly, it indicates that the fluctuation of the psychological state of the target patient may cause the nursing feedback data to fluctuate greatly. At this time, the psychological-nursing feedback confidence can be determined to be relatively low; when the psychological state of the target patient fluctuates little and the nursing feedback data fluctuates greatly, it indicates that the target patient does not have the nursing feedback data fluctuating due to the psychological state fluctuation. At this time, the psychological-nursing feedback confidence can be determined to be relatively high.
[0054] After obtaining the confidence level of psychological-nursing feedback, when the confidence level of psychological-nursing feedback is less than the preset confidence level of psychological-nursing feedback, it indicates that the confidence level of psychological-nursing feedback is relatively small at this time. It may be due to the fluctuations in the psychological state of the target patient that lead to the distortion of the feedback on nursing measures. Furthermore, the nursing demand adjustment model can be used to determine the nursing adjustment plan for the target patient according to the sequential rehabilitation characteristics of the target patient.
[0055] The beneficial effect of the above implementation method is that when there is no distortion in the feedback on nursing measures caused by the fluctuations in the psychological state of the target patient, the nursing demand adjustment model can be used to determine the nursing adjustment plan for the target patient according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient, ensuring the accuracy of the nursing adjustment plan.
[0056] The beneficial effect of the above implementation method is also that when there is distortion in the feedback on nursing measures caused by the fluctuations in the psychological state of the target patient, at this time, the nursing demand adjustment model is used to determine the nursing adjustment plan for the target patient according to the sequential rehabilitation characteristics of the target patient, ensuring the accuracy of the nursing adjustment plan.
[0057] In some implementation methods, the above method further includes: when the confidence level of psychological-nursing feedback is less than the preset confidence level of psychological-nursing feedback, the confidence level segmentation unit is used to determine multiple first time periods in which the confidence level of psychological-nursing feedback is greater than or equal to the preset confidence level of psychological-nursing feedback, and the nursing adjustment plan for the target patient is determined according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient within the multiple first time periods.
[0058] After obtaining the confidence level of psychological-nursing feedback, when the confidence level of psychological-nursing feedback is less than the preset confidence level of psychological-nursing feedback, the confidence level segmentation unit can be further used to determine multiple first time periods in which the confidence level of psychological-nursing feedback is greater than or equal to the preset confidence level of psychological-nursing feedback, so as to ensure that there is no distortion in the feedback on nursing measures caused by the fluctuations in the psychological state of the target patient in the sequential psychological characteristics and sequential nursing feedback characteristics within the multiple first time periods.
[0059] After determining the multiple first time periods, the nursing adjustment plan for the target patient can be further determined according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient within the multiple first time periods, so as to ensure the accuracy of the nursing adjustment plan.
[0060] The beneficial effects of the above implementation method are as follows. By determining multiple first time periods in which the psychological-nursing feedback confidence is greater than or equal to the preset psychological-nursing feedback confidence, it is ensured that the sequential psychological characteristics and sequential nursing feedback characteristics within the multiple first time periods are not distorted due to fluctuations in the psychological state of the target patient, and the accuracy of the nursing adjustment plan is ensured through the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics within the multiple first time periods.
[0061] Figure 4 FIG. is a schematic flowchart of a third medical nursing demand recognition method based on information fusion provided by an embodiment of the present application. As Figure 4 shown, the above method further includes S210 to S220, which will be specifically described below.
[0062] S210. Obtain the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the target patient applying multiple nursing adjustment plans respectively, and through the confidence detection unit, determine the psychological-nursing feedback confidence corresponding to each nursing adjustment plan according to the psychological monitoring data and nursing feedback data corresponding to each nursing adjustment plan. Determine the difference between the psychological-nursing feedback confidence after each nursing adjustment plan is applied and the psychological-nursing feedback confidence before each nursing adjustment plan is applied as the psychological-nursing feedback confidence difference corresponding to each nursing adjustment plan.
[0063] During the nursing process, after multiple nursing adjustment plans are used to care for the target patient, the multiple nursing adjustment plans can be evaluated to further improve the recognition effect of nursing needs.
[0064] When evaluating multiple nursing adjustment plans, the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the target patient applying multiple nursing adjustment plans respectively can be obtained, and then the subsequent nursing plan for the target patient can be adjusted according to the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the target patient applying multiple nursing adjustment plans respectively.
[0065] When adjusting the subsequent nursing plan for the target patient, the confidence detection unit can be used to determine the psychological-nursing feedback confidence corresponding to each nursing adjustment plan according to the psychological monitoring data and nursing feedback data corresponding to each nursing adjustment plan, and then the subsequent nursing plan can be optimized according to the psychological-nursing feedback confidence corresponding to each nursing adjustment plan.
[0066] When optimizing subsequent care plans based on the psychological-nursing feedback confidence levels corresponding to multiple care adjustment plans respectively, the difference between the psychological-nursing feedback confidence level after the application of each care adjustment plan and the psychological-nursing feedback confidence level before the application of each care adjustment plan can be determined as the psychological-nursing feedback confidence level difference corresponding to each care adjustment plan. The psychological-nursing feedback confidence level difference corresponding to each care adjustment plan can characterize the changes in the psychological state data and the credibility of the nursing feedback data of the target patient before and after the application of the care adjustment plan. Furthermore, the care adjustment plan can be determined based on the psychological state data and the nursing feedback data.
[0067] S220. When the first psychological-nursing feedback confidence level difference corresponding to the first care adjustment plan is greater than or equal to the preset psychological-nursing feedback confidence level difference, determine the first care optimization plan corresponding to the first care adjustment plan according to the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first care adjustment plan.
[0068] After obtaining the first psychological-nursing feedback confidence level difference corresponding to the first care adjustment plan, when the first psychological-nursing feedback confidence level difference corresponding to the first care adjustment plan is greater than or equal to the preset psychological-nursing feedback confidence level difference, it indicates that the psychological-nursing feedback confidence level of the target patient after the application of the care adjustment plan increases at this time. Furthermore, it indicates that the nursing effect of the target patient after the application of the care adjustment plan is better at this time. At this time, the first care adjustment plan can be further optimized.
[0069] When optimizing the first care adjustment plan, the first care optimization plan corresponding to the first care adjustment plan can be determined according to the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first care adjustment plan to further improve the nursing effect of the care plan.
[0070] The beneficial effect of the above implementation method is that when the first psychological-nursing feedback confidence level difference corresponding to the first care adjustment plan is greater than or equal to the preset psychological-nursing feedback confidence level difference, the first care adjustment plan is optimized to obtain the first care optimization plan to further improve the nursing effect of the care plan.
[0071] In some implementation methods, in the above S210, through the confidence detection unit, the psychological-nursing feedback confidence levels corresponding to multiple care adjustment plans are determined according to the psychological monitoring data and nursing feedback data corresponding to multiple care adjustment plans respectively, including S211 to S212. The following will specifically describe S211 to S212.
[0072] S211. Obtain multiple first time periods corresponding to the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal nursing feedback characteristics of each nursing adjustment plan, and determine the time overlap degree of the multiple first time periods corresponding to each nursing adjustment plan. Here, the time overlap degree is the ratio of the duration of the overlapping time periods among the multiple first time periods to the total duration of the multiple first time periods.
[0073] When optimizing the nursing adjustment plan, it is possible to obtain multiple first time periods corresponding to the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal nursing feedback characteristics of each nursing adjustment plan, and determine the time overlap degree of the multiple first time periods corresponding to each nursing adjustment plan. The time overlap degree of the multiple first time periods is used to evaluate the optimization credibility of the nursing adjustment plan.
[0074] When calculating the time overlap degree, the time overlap degree is the ratio of the duration of the overlapping time periods among the multiple first time periods to the total duration of the multiple first time periods. The time overlap degree represents the credibility of evaluating the nursing adjustment plan being evaluated.
[0075] Exemplarily, the time overlap degree can be the overlap degree within 24 hours of a day for the specific time periods of the multiple first time periods. When calculating the ratio of the duration of the overlapping time periods among the multiple first time periods to the total duration of the multiple first time periods, it is possible to calculate the ratio of the duration of the overlapping time periods within 24 hours among the multiple first time periods to the total duration of the multiple first time periods. For example, the overlapping time periods among the multiple first time periods can be from 9:00 to 12:00 within 24 hours on different dates. There are multiple mutually overlapping first time periods within the 24 hours from 9:00 to 12:00 on different dates. The total duration of the multiple first time periods can be the total duration within 24 hours on different dates.
[0076] S212. Determine the psychological-nursing feedback confidence levels corresponding to the multiple nursing adjustment plans respectively according to the psychological monitoring data and nursing feedback data corresponding to the multiple nursing adjustment plans respectively, and multiply the psychological-nursing feedback confidence level corresponding to each nursing adjustment plan by the time overlap degree to adjust the psychological-nursing feedback confidence level corresponding to each nursing adjustment plan.
[0077] When determining the psychological-nursing feedback confidence levels corresponding to multiple nursing adjustment plans, the psychological-nursing feedback confidence levels corresponding to multiple nursing adjustment plans can be determined based on the psychological monitoring data and nursing feedback data corresponding to the multiple nursing adjustment plans, and the psychological-nursing feedback confidence level corresponding to each nursing adjustment plan is multiplied by the time overlap degree to adjust the psychological-nursing feedback confidence level corresponding to each nursing adjustment plan. When the time overlap degree is larger (i.e., the duration of the overlapping time period in multiple first time periods is larger), it indicates that the time interference degree for calculating the psychological-nursing feedback confidence level is smaller. When the time overlap degree is smaller (i.e., the duration of the overlapping time period in multiple first time periods is larger), it indicates that the time interference degree for calculating the psychological-nursing feedback confidence level is larger, further improving the reliability of the psychological-nursing feedback confidence level.
[0078] The beneficial effect of the above implementation method is that when the time overlap degree is larger, it indicates that the time interference degree for calculating the psychological-nursing feedback confidence level is smaller; when the time overlap degree is smaller, it indicates that the time interference degree for calculating the psychological-nursing feedback confidence level is larger. Multiplying the psychological-nursing feedback confidence level corresponding to each nursing adjustment plan by the time overlap degree improves the reliability of the psychological-nursing feedback confidence level.
[0079] In some implementation methods, the above method further includes: when the difference between the first psychological-nursing feedback confidence levels corresponding to the first nursing adjustment plan is less than the preset psychological-nursing feedback confidence level difference, through the nursing level adjustment unit, based on the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan, determining the nursing level adjustment information corresponding to the first nursing adjustment plan, and adjusting the nursing level of the target patient according to the nursing level adjustment information.
[0080] After obtaining the difference between the first psychological-nursing feedback confidence levels corresponding to the first nursing adjustment plan, when the difference between the first psychological-nursing feedback confidence levels corresponding to the first nursing adjustment plan is less than the preset psychological-nursing feedback confidence level difference, it indicates that the psychological-nursing feedback confidence level of the target patient after applying the nursing adjustment plan decreases at this time. Furthermore, the nursing level can be adjusted to improve the nursing effect, avoid the deterioration of the psychological state and nursing feedback of the target patient towards the nursing adjustment plan, and ensure the nursing effect.
[0081] When adjusting the nursing level, through the nursing level adjustment unit, based on the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan, determining the nursing level adjustment information corresponding to the first nursing adjustment plan, and adjusting the nursing level of the target patient according to the nursing level adjustment information.
[0082] It should be noted that when adjusting the care level of the target patient, the adjustment range of the care level is larger than that of the care plan compared to the care adjustment plan. Adjusting the care level can improve the care effect of the care plan to a greater extent.
[0083] It should be noted that the difference in confidence of the first psychological-nursing feedback corresponding to the first care adjustment plan is less than the preset difference in confidence of psychological-nursing feedback, including that the difference in confidence of the first psychological-nursing feedback is negative. When the difference in confidence of the first psychological-nursing feedback is negative, the confidence of the first psychological-nursing feedback decreases before and after the adjustment of the care plan for the first care adjustment plan.
[0084] The beneficial effect of the above implementation method is that when the confidence of the psychological-nursing feedback decreases after the target patient applies the care adjustment plan, the care level can be adjusted, which can improve the care effect.
[0085] Figure 5 The flowchart of the fourth medical care demand recognition method based on information fusion provided by the embodiment of the present application is as Figure 5 shown. In the above method, through the care level adjustment unit, according to the rehabilitation data, psychological monitoring data, and care feedback data corresponding to the first care adjustment plan, the care level adjustment information corresponding to the first care adjustment plan is determined, including S310 to S320. The following specifically describes S310 to S320.
[0086] S310. Obtain multiple first time periods corresponding to the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal care feedback characteristics for determining the first care adjustment plan, and obtain the first care resource values within the multiple first time periods corresponding to the first care adjustment plan.
[0087] Obtain multiple first time periods corresponding to the temporal rehabilitation characteristics, temporal psychological characteristics, and temporal care feedback characteristics for determining the first care adjustment plan, and obtain the first care resource values within the multiple first time periods corresponding to the first care adjustment plan. The first care resource value is the number of nursing staff, nursing equipment, nursing space, etc. that can be used for care within the first time period. Furthermore, the construction process of the first care adjustment plan can be guided by the first care resource value, which can improve the scientificity of the first care adjustment plan.
[0088] S320. Through the care level adjustment unit, according to the rehabilitation data, psychological monitoring data, care feedback data, and first care resource values within the multiple first time periods corresponding to the first care adjustment plan, determine the care level adjustment information corresponding to the first care adjustment plan, and adjust the care level of the first care adjustment plan according to the care level adjustment information.
[0089] After obtaining the first nursing resource values within multiple first time periods, the nursing level adjustment unit can determine the nursing level adjustment information corresponding to the first nursing adjustment plan based on the rehabilitation data, psychological monitoring data, nursing feedback data, and first nursing resource values within the multiple first time periods corresponding to the first nursing adjustment plan, and adjust the nursing level of the first nursing adjustment plan according to the nursing level adjustment information, so that the nursing level adjustment information is restricted by combining the constraint conditions of the first nursing resource value, improving the scientificity of the nursing level adjustment information.
[0090] The beneficial effect of the above implementation method is that when the psychological-nursing feedback confidence decreases after the target patient applies the nursing adjustment plan, when adjusting the nursing level, the nursing level adjustment information is restricted by combining the constraint conditions of the first nursing resource value, improving the scientificity of the nursing level adjustment information.
[0091] Figure 6 This is a schematic flowchart of the fourth medical nursing demand recognition method based on information fusion provided by an embodiment of the present application. As Figure 6 shown, in the above method, through the nursing level adjustment unit, according to the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan, the nursing level adjustment information corresponding to the first nursing adjustment plan is determined, and it also includes S410 to S420. The following is a specific description of S410 to S420.
[0092] S410. Determine the remaining time periods other than the multiple first time periods corresponding to the first nursing adjustment plan, obtain the second nursing resource values within the remaining time periods, and determine the nursing resource ratio of the first nursing resource value and the second nursing resource value.
[0093] When determining the adjustment information of the nursing level of the first nursing adjustment plan, the remaining time periods other than the multiple first time periods corresponding to the first nursing adjustment plan can be determined. Among them, the time period corresponding to the first nursing adjustment plan is the time span range where the multiple first time periods corresponding to the first nursing adjustment plan are located, and the remaining time periods are the time periods other than the multiple first time periods in the time span range where the multiple first time periods corresponding to a nursing adjustment plan are located. Since the nursing resource values within the multiple first time periods and the remaining time periods may be different due to factors such as time, the first nursing adjustment plan can be accurately determined by the nursing resources of the multiple first time periods and the remaining time periods.
[0094] When determining the nursing level of the first nursing adjustment plan, the second nursing resource value within the remaining time period can be obtained, and the nursing resource ratio of the first nursing resource value and the second nursing resource value can be determined. The nursing resource ratio characterizes the difference in nursing resource values within multiple first time periods and the remaining time period. Furthermore, the nursing level of the first nursing adjustment plan can be accurately adjusted through the nursing resource ratio.
[0095] S420. When the nursing resource ratio is within the preset nursing resource ratio range, through the nursing level adjustment unit, based on the rehabilitation data, psychological monitoring data, nursing feedback data, and the first nursing resource value within multiple first time periods corresponding to the first nursing adjustment plan, determine the nursing level adjustment information corresponding to the first nursing adjustment plan, and adjust the nursing level of the first nursing adjustment plan according to the nursing level adjustment information. When the nursing resource ratio is not within the preset nursing resource ratio range, prompt to adjust the nursing resources for multiple first time periods and the remaining time period; wherein, the preset nursing resource ratio range is from 0.7 to 1.5.
[0096] When adjusting the nursing level of the first nursing adjustment plan, when the nursing resource ratio is within the preset nursing resource ratio range, it indicates that the difference in nursing resource values within multiple first time periods and the remaining time period is within the preset range, that is, the nursing resource values within multiple first time periods and the remaining time period are relatively balanced. At this time, through the nursing level adjustment unit, based on the rehabilitation data, psychological monitoring data, nursing feedback data, and the first nursing resource value within multiple first time periods corresponding to the first nursing adjustment plan, determine the nursing level adjustment information corresponding to the first nursing adjustment plan, and adjust the nursing level of the first nursing adjustment plan according to the nursing level adjustment information.
[0097] Exemplarily, the preset nursing resource ratio range is from 0.7 to 1.5.
[0098] After obtaining the nursing resource ratio, when the nursing resource ratio is not within the preset nursing resource ratio range, prompt to adjust the nursing resources for multiple first time periods and the remaining time period, thereby improving the balance of the nursing resources for multiple first time periods and the remaining time period to ensure the reliability of subsequent adjustment of the nursing level of the first nursing adjustment plan.
[0099] The beneficial effect of the above implementation method is that it can judge the difference in nursing resource values within multiple first time periods and the remaining time period. When the nursing resource values within multiple first time periods and the remaining time period are relatively balanced, adjust the nursing level of the first nursing adjustment plan, which can ensure the reliability of adjusting the nursing level of the first nursing adjustment plan.
[0100] The beneficial effect of the above implementation manner is also that when the nursing resource values in multiple first time periods and the remaining time period are unbalanced, the nursing resources in the multiple first time periods and the remaining time period are adjusted to ensure the reliability of adjusting the nursing level of the first nursing adjustment plan subsequently.
[0101] In some implementation manners, the above method further includes: when the nursing resource ratio is not within the preset nursing resource ratio range, after evenly adjusting the nursing resources in the multiple first time periods and the remaining time period, through the nursing level adjustment unit, according to the rehabilitation data, psychological monitoring data, nursing feedback data and the first nursing resource value in the multiple first time periods corresponding to the first nursing adjustment plan, determining the nursing level adjustment information corresponding to the first nursing adjustment plan, and adjusting the nursing level of the first nursing adjustment plan according to the nursing level adjustment information.
[0102] When adjusting the nursing level of the first nursing adjustment plan, when the nursing resource ratio is not within the preset nursing resource ratio range, after evenly adjusting the nursing resources in the multiple first time periods and the remaining time period, to improve the balance of the nursing resources in the multiple first time periods and the remaining time period, and then through the nursing level adjustment unit, according to the rehabilitation data, psychological monitoring data, nursing feedback data and the first nursing resource value in the multiple first time periods corresponding to the first nursing adjustment plan, determining the nursing level adjustment information corresponding to the first nursing adjustment plan, and adjusting the nursing level of the first nursing adjustment plan according to the nursing level adjustment information.
[0103] The beneficial effect of the above implementation manner is that when the nursing resource values in multiple first time periods and the remaining time period are unbalanced, performing a balance adjustment on the nursing resources in the multiple first time periods and the remaining time period can improve the reliability of adjusting the nursing level of the first nursing adjustment plan.
[0104] Figure 7 The following is a schematic logical structure diagram of a medical nursing demand recognition system based on information fusion provided by an embodiment of the present application, as Figure 7 shown, this medical nursing demand recognition system based on information fusion includes a unit for executing the method described in any one of the above.
[0105] Figure 7 The following is a schematic logical structure diagram of a medical nursing demand recognition system based on information fusion provided by an embodiment of the present application, as Figure 7As shown, the system 1 of this embodiment includes a processing unit 11, a storage unit 12, and a transceiver unit 13. The processing unit 11 is used to process data, the storage unit 12 is used to store data, and the transceiver unit 13 is used to transmit and receive data. The processing unit 11, the storage unit 12, and the transceiver unit 13 cooperate with each other to implement the above method. The beneficial effects of the embodiments of this application have been described in the above method and will not be elaborated here.
[0106] It should be noted that, regarding the information interaction, execution process, etc. between the above-mentioned device / units, since they are based on the same concept as the method embodiments of this application, for their specific functions and the technical effects brought, reference can be made to the method embodiment part, and details will not be elaborated here.
[0107] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In practical applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of distinguishing from each other and do not limit the protection scope of this application. The specific working process of the units and modules in the above system can refer to the corresponding process in the foregoing method embodiments and will not be elaborated here.
[0108] When 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, to implement all or part of the processes in the above-described embodiment methods of this application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the photographing device / terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium cannot be an electrical carrier signal and a telecommunication signal.
[0109] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0110] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.
[0111] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there can be other division methods. 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 displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in an electrical, mechanical, or other form.
[0112] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed over multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
[0113] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included within the protection scope of the present application.
Claims
1. A method for identifying medical care needs based on information fusion, characterized in that The method includes: Obtaining the historical rehabilitation data, historical psychological monitoring data, and historical nursing feedback data of the target patient; determining the sequential rehabilitation characteristics of the target patient according to the historical rehabilitation data through the rehabilitation status detection unit; determining the sequential psychological characteristics of the target patient according to the historical psychological monitoring data through the psychological monitoring unit; and determining the sequential nursing feedback characteristics of the target patient according to the historical nursing feedback data through the nursing feedback detection unit; Determining the nursing adjustment plan of the target patient according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient through the nursing demand adjustment model; The method further includes: Determining the psychology-nursing feedback confidence according to the sequential psychological characteristics and sequential nursing feedback characteristics through the confidence detection unit; When the psychology-nursing feedback confidence is greater than or equal to the preset psychology-nursing feedback confidence, determining the nursing adjustment plan of the target patient according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient through the nursing demand adjustment model; when the psychology-nursing feedback confidence is less than the preset psychology-nursing feedback confidence, determining the nursing adjustment plan of the target patient according to the sequential rehabilitation characteristics of the target patient through the nursing demand adjustment model; The method further includes: Obtaining the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the target patient applying multiple nursing adjustment plans respectively, and determining the psychology-nursing feedback confidence corresponding to each nursing adjustment plan according to the psychological monitoring data and nursing feedback data corresponding to each nursing adjustment plan through the confidence detection unit; determining the difference between the psychology-nursing feedback confidence after applying each nursing adjustment plan and the psychology-nursing feedback confidence before applying each nursing adjustment plan as the psychology-nursing feedback confidence difference corresponding to each nursing adjustment plan; When the first psychology-nursing feedback confidence difference corresponding to the first nursing adjustment plan is greater than or equal to the preset psychology-nursing feedback confidence difference, determining the first nursing optimization plan corresponding to the first nursing adjustment plan according to the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan; Determining the psychology-nursing feedback confidence corresponding to each nursing adjustment plan according to the psychological monitoring data and nursing feedback data corresponding to each nursing adjustment plan through the confidence detection unit, including: Obtaining multiple first time periods corresponding to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics for determining each nursing adjustment plan, and determining the time overlap degree of the multiple first time periods corresponding to each nursing adjustment plan; wherein, the time overlap degree is the ratio of the duration of the overlapping time periods in the multiple first time periods to the total duration of the multiple first time periods; Determining the psychology-nursing feedback confidence corresponding to each nursing adjustment plan according to the psychological monitoring data and nursing feedback data corresponding to each nursing adjustment plan, and multiplying the psychology-nursing feedback confidence corresponding to each nursing adjustment plan by the time overlap degree to adjust the psychology-nursing feedback confidence corresponding to each nursing adjustment plan.
2. The method according to claim 1, wherein The method further includes: When the confidence level of the psychological-nursing feedback is less than the preset confidence level of the psychological-nursing feedback, the confidence level segmentation unit determines multiple first time periods in which the confidence level of the psychological-nursing feedback is greater than or equal to the preset confidence level of the psychological-nursing feedback, and determines a nursing adjustment plan for the target patient according to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics of the target patient within the multiple first time periods.
3. The method according to claim 1, characterized in that, The method further includes: When the first confidence level difference of the psychological-nursing feedback corresponding to the first nursing adjustment plan is less than the preset confidence level difference of the psychological-nursing feedback, the nursing level adjustment unit determines the nursing level adjustment information corresponding to the first nursing adjustment plan according to the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan, and adjusts the nursing level of the target patient according to the nursing level adjustment information.
4. The method according to claim 3, wherein Determining the nursing level adjustment information corresponding to the first nursing adjustment plan by the nursing level adjustment unit according to the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan includes: Obtaining multiple first time periods corresponding to the sequential rehabilitation characteristics, sequential psychological characteristics, and sequential nursing feedback characteristics for determining the first nursing adjustment plan, and obtaining the first nursing resource value within the multiple first time periods corresponding to the first nursing adjustment plan; The nursing level adjustment unit determines the nursing level adjustment information corresponding to the first nursing adjustment plan according to the rehabilitation data, psychological monitoring data, nursing feedback data, and first nursing resource value within the multiple first time periods corresponding to the first nursing adjustment plan, and adjusts the nursing level of the first nursing adjustment plan according to the nursing level adjustment information.
5. The method according to claim 4, characterized in that, Determining the nursing level adjustment information corresponding to the first nursing adjustment plan by the nursing level adjustment unit according to the rehabilitation data, psychological monitoring data, and nursing feedback data corresponding to the first nursing adjustment plan further includes: Determining the remaining time periods of the time period corresponding to the first nursing adjustment plan except for the multiple first time periods, obtaining the second nursing resource value within the remaining time periods, and determining the nursing resource ratio of the first nursing resource value and the second nursing resource value; When the nursing resource ratio is within the preset nursing resource ratio range, the nursing level adjustment unit determines the nursing level adjustment information corresponding to the first nursing adjustment plan according to the rehabilitation data, psychological monitoring data, nursing feedback data, and first nursing resource value within the multiple first time periods corresponding to the first nursing adjustment plan, and adjusts the nursing level of the first nursing adjustment plan according to the nursing level adjustment information; when the nursing resource ratio is not within the preset nursing resource ratio range, it is prompted to adjust the nursing resources for the multiple first time periods and the remaining time periods; wherein, the preset nursing resource ratio range is from 0.7 to 1.
5.
6. The method according to claim 5, characterized in that, The method further includes: When the ratio of nursing resources is not within the preset range of nursing resource ratios, after evenly adjusting the nursing resources for multiple first time periods and the remaining time periods, through the nursing level adjustment unit, according to the rehabilitation data, psychological monitoring data, nursing feedback data, and the first nursing resource value within the multiple first time periods corresponding to the first nursing adjustment plan, determine the nursing level adjustment information corresponding to the first nursing adjustment plan, and adjust the nursing level of the first nursing adjustment plan according to the nursing level adjustment information.
7. A medical care demand recognition system based on information fusion, characterized in that, It includes a unit for executing the method according to any one of claims 1 to 6.
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