CN112599247A

CN112599247A - Method, equipment, device and medium for acquiring and utilizing care service data

Info

Publication number: CN112599247A
Application number: CN202110238379.XA
Authority: CN
Inventors: 向平; 朱军; 马军政; 惠兴海; 吴杨; 梅挺; 刘永贵; 代群; 梁洁; 任伟
Original assignee: Sichuan Hwadee Information Technology Co ltd
Current assignee: Sichuan Hwadee Information Technology Co ltd
Priority date: 2021-03-04
Filing date: 2021-03-04
Publication date: 2021-04-02

Abstract

The invention provides a method, equipment and a device for acquiring and utilizing care service data and a computer readable storage medium, which aim to solve the technical problem of acquiring and effectively utilizing various care service data. The method comprises the following steps: acquiring the care service object evaluation data input by the care service object evaluation client, and generating the care service requirement evaluation data of the care service object according to the care service object evaluation data and the set rule; acquiring a care service information record, and acquiring care service record data of a care service object according to the care service information record; acquiring vital sign detection information input by a vital sign acquisition user side, and acquiring vital sign acquisition data of a care service object according to the vital sign detection information; and generating corresponding risk analysis and/or early warning information of the care service according to the required data in the data.

Description

Method, equipment, device and medium for acquiring and utilizing care service data

Technical Field

The embodiment of the invention relates to the technical field of health risk assessment by acquiring and utilizing physiological data of a care subject, in particular to a method, equipment, a device and a computer readable storage medium for acquiring and utilizing care service data.

Background

With the aging of the population in China, the demand for old care is increasingly deepened, and the requirement for the service of nursing care is higher and higher. However, at present, no informatization management means capable of collecting various care service data and effectively applying the data to the care service exists, so that the old care and the medical care cannot be effectively combined.

Disclosure of Invention

The invention aims to provide a method, equipment and a device for acquiring and utilizing care service data and a computer readable storage medium, which aim to solve the technical problem that various care service data can be acquired and effectively applied.

According to one aspect of the invention, a method for acquiring and utilizing care service data is provided, which comprises the following steps: acquiring the care service object evaluation data input by the care service object evaluation client, and generating the care service requirement evaluation data of the care service object according to the care service object evaluation data and the set rule; acquiring a care service information record, and acquiring care service record data of a care service object according to the care service information record; acquiring vital sign detection information input by a vital sign acquisition user side, and acquiring vital sign acquisition data of a care service object according to the vital sign detection information; and generating corresponding care service risk analysis and/or early warning information according to the required data in the care service object evaluation data, the care service requirement evaluation data, the care service record data and the vital sign acquisition data.

The obtaining of the care service object evaluation data input by the care service object evaluation user terminal, and the generating of the care service requirement evaluation data of the care service object according to the care service object evaluation data and the setting rule may include: generating a care service object evaluation interaction component in a display interface of the care service object evaluation user terminal in response to the care service object evaluation starting instruction; and generating the care service requirement evaluation data of the care service object according to the care service object evaluation information and the set rule which are input by the care service object evaluation user in the care service object evaluation interaction component.

The obtaining of the care service information record from the care service information record input by the user side may include: generating a care service information record acquisition interaction component in a display interface of a care service acquisition user side in response to a care service information record acquisition starting instruction; and acquiring the care service record data of the care service object according to the care service information record input by the user in the care service information record acquisition interactive component.

The obtaining of the vital sign detection information input by the vital sign acquisition user end, and the obtaining of the vital sign acquisition data of the care service object according to the vital sign detection information may include: directly receiving the original encrypted data of the vital sign detection information sent by the vital sign acquisition user side under the condition of not carrying out service verification and data validity verification; and decrypting the original encrypted data of the vital sign detection information, then performing service verification and data validity verification on the decrypted data, and removing the data which does not meet the requirements to obtain the vital sign acquisition data.

The process of acquiring the vital sign detection information by the vital sign acquisition user side may include: carrying out identity recognition on the vital sign acquisition object and obtaining identity information of the vital sign acquisition object; acquiring equipment information of vital sign measuring equipment and original measuring data corresponding to the equipment information; converting the original measurement data into standard format measurement data according to a set rule; and encrypting the data of the standard format measurement data by using the identity information to obtain the vital sign detection information.

Generating corresponding care service risk analysis and/or early warning information according to the required data in the care service object evaluation data, the care service requirement evaluation data, the care service record data and the vital sign acquisition data comprises the following steps: matching the care service requirement evaluation data of the same care service object with the care service record data according to a set rule and generating a matching result; and/or matching the care service requirement evaluation data of the same care service object with the care service record data according to a set rule, and sending out a corresponding early warning notice when the matching result reaches a set threshold value.

Generating corresponding care service risk analysis and/or early warning information according to the required data in the care service object evaluation data, the care service requirement evaluation data, the care service record data and the vital sign acquisition data comprises the following steps: the method comprises the steps that the care service object evaluation data and/or the vital sign acquisition data of each care service object are utilized, and the probability of specific adverse conditions of each care service object is predicted according to a set rule to generate a prediction result; and/or predicting the probability of specific adverse conditions of each care service object according to a set rule by using the care service object evaluation data and/or the vital sign acquisition data of each care service object, and sending a corresponding early warning notice when the prediction result reaches a set threshold; and/or predicting the probability of specific adverse conditions of each care service object according to a set rule by using the care service object evaluation data and/or the vital sign acquisition data of each care service object, and then performing association analysis on the predicted probability value and the corresponding care service requirement evaluation data to generate an association analysis result.

According to an aspect of the present invention, there is provided a care service data acquisition and utilization apparatus, including: the system comprises a care service requirement evaluation data acquisition module, a care service requirement evaluation data acquisition module and a care service object evaluation module, wherein the care service requirement evaluation data acquisition module is used for acquiring care service object evaluation data input by a care service object evaluation client and generating care service requirement evaluation data of a care service object according to the care service object evaluation data and a set rule; the system comprises a care service record data acquisition module, a service management module and a service management module, wherein the care service record data acquisition module is used for acquiring a care service information record input by a user terminal for the care service information record and acquiring care service record data of a care service object according to the care service information record; the vital sign acquisition module is used for acquiring vital sign detection information input by the vital sign acquisition user side and acquiring vital sign acquisition data of a care service object according to the vital sign detection information; and the risk analysis early warning module is used for generating corresponding care service risk analysis and/or early warning information according to the required data in the care service object evaluation data, the care service requirement evaluation data, the care service record data and the vital sign acquisition data.

According to an aspect of the present invention, there is provided a device for acquiring and utilizing care service data, comprising: a processor; a memory for storing processor-executable instructions; the processor is configured to perform the above-described method of acquiring and utilizing care service data.

According to an aspect of the present invention, there is provided a computer-readable storage medium including a stored program which, when executed, performs the above-described method for acquiring and utilizing care service data.

The method, the equipment and the device for acquiring and utilizing the care service data can acquire the care service object evaluation data, the care service requirement evaluation data, the care service record data and the vital sign acquisition data of the care service object, wherein the "care service object evaluation data" refers to evaluation related data generated by evaluating the care service object. "care service requirement rating data" refers to data related to specific service content and standards for a care service, and different content and standards of care services can be generally classified into different care service care levels for convenient management. The "care service record data" refers to record data of a care service subject that is serviced by an aged care institution (including a medical institution as the case may be) during a care service process (including a medical action as the case may be). The "vital sign acquisition data" refers to vital sign related data obtained by acquiring vital signs of a care service subject by an elderly care institution (including a medical institution as the case may be) in the care service process. By obtaining the evaluation data of the care service object, the care service requirement evaluation data, the care service recording data and the vital sign acquisition data, and then generating corresponding care service risk analysis and/or early warning information according to the required data, the care service risk can be managed and controlled more timely and accurately, and the effective application of the care service data is realized.

The embodiments of the present invention will be further described with reference to the drawings and the detailed description. Additional aspects and advantages of embodiments of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of embodiments of the invention.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to assist in understanding the relevant embodiments, and the description of the drawings and the description relating to the same is intended to explain the relevant embodiments and not to limit the relevant embodiments unduly. In the drawings:

fig. 1 is a flowchart illustrating a method for acquiring and utilizing care service data according to an embodiment of the present invention.

FIG. 2 is a schematic flow chart of a part of the steps of the method shown in FIG. 1.

FIG. 3 is a schematic flow chart of a part of the steps of the method shown in FIG. 1.

FIG. 4 is a schematic flow chart of a part of the steps of the method shown in FIG. 1.

FIG. 5 is a schematic flow chart of a part of the steps of the method shown in FIG. 1.

FIG. 6 is a schematic flow chart of a part of the steps of the method shown in FIG. 1.

FIG. 7 is a schematic flow chart of a part of the steps of the method shown in FIG. 1.

Fig. 8 is a schematic structural diagram of a device for acquiring and utilizing care service data according to the present invention.

Fig. 9 is a schematic structural diagram of a device for acquiring and utilizing care service data according to the present invention.

Detailed Description

The embodiments of the present invention will be described more fully hereinafter with reference to the accompanying drawings. Those of ordinary skill in the art will be able to implement the relevant embodiments based on these descriptions. Before the embodiments of the present invention are explained in conjunction with the drawings, it should be particularly pointed out that:

in the present specification, the technical solutions and the technical features provided in the respective portions including the following description may be combined with each other without conflict.

Reference throughout the following description to only a few embodiments, rather than all embodiments, is intended to cover all modifications, equivalents, and alternatives falling within the scope of the invention as defined by the appended claims.

The terms "comprises" and "comprising," and any variations thereof, in this specification and in the claims and any related parts, are intended to cover non-exclusive inclusions.

Fig. 1 is a flowchart illustrating a method for acquiring and utilizing care service data according to an embodiment of the present invention. As shown in fig. 1, a method for acquiring and utilizing care service data includes:

s100: and acquiring the care service object evaluation data input by the care service object evaluation client, and generating the care service requirement evaluation data of the care service object according to the care service object evaluation data and the set rule.

S200: and acquiring the care service information record from the care service information record input by the user terminal, and acquiring the care service record data of the care service object according to the care service information record.

S300: and acquiring vital sign detection information input by the vital sign acquisition user side, and acquiring vital sign acquisition data of the care service object according to the vital sign detection information.

S400: and generating corresponding care service risk analysis and/or early warning information according to the required data in the care service object evaluation data, the care service requirement evaluation data, the care service record data and the vital sign acquisition data.

The "service subject evaluation data" refers to evaluation-related data generated by evaluating a service subject. "care service requirement rating data" refers to data related to specific service content and standards for a care service, and different content and standards of care services can be generally classified into different care service care levels for convenient management. The "healthcare service record data" refers to record data of a care service subject performing a service action (including a medical action if possible) by an elderly care institution (including a medical institution if possible) during a healthcare service process. The "vital sign acquisition data" refers to vital sign related data obtained by acquiring vital signs of a care service subject by an elderly care institution (including a medical institution as the case may be) in the care service process.

In the embodiment of the method for acquiring and utilizing the care service data, the care service object evaluation data comprises the evaluation result of the ability of the care service object (such as the aged people). According to the capability evaluation result of the old people, the capability of the old people can be divided into 4 levels, and the 4 levels correspond to the care levels of the care service. The nursing service nursing levels of all levels and the corresponding nursing contents are the nursing service requirement evaluation data corresponding to the old man ability evaluation result of a certain old man.

Accordingly, care levels of care services can be divided into: grade 0 (intact), grade 1 (mild disability), grade 2 (moderate disability), grade 3 (severe disability), grade 4 (very severe disability). Wherein the care service nursing level of level 0 corresponds to the elderly capability assessment result of level 0, the care service nursing level of level 1 corresponds to the elderly capability assessment result of level 1, and so on.

The nursing service nursing contents of each level of nursing service nursing level can be divided into six categories, namely living care, rehabilitation training, safety protection, professional nursing, traditional Chinese medicine nursing and health education. Below each major class, there are again detailed service items.

Specifically, the life care can be divided into service items such as head and face cleaning and combing, oral cleaning, food/water assisting, clothes changing assisting and the like; the rehabilitation safety can be divided into service items such as sitting-up training, standing training, walking training and the like; the safety protection can be divided into items such as a most invasive instruction for preventing falling, a scald prevention instruction and the like; professional nursing can be divided into service items such as oxygen inhalation and atomization; traditional Chinese medicine nursing can be divided into service items such as scraping therapy, moxibustion and the like; the health education can be divided into service items such as psychological support, psychological communication and dispersion. In summary, there is often a difference in care service content and criteria among different care service care levels.

The description of the level of capability assessment of the elderly people employed in the embodiments of the method for acquiring and utilizing care service data of the present invention, including the meaning of each level, can be specifically referred to as table 1.

TABLE 1 Elder performance assessment level description

By way of example and not limitation, the assessment of the ability of the elderly can be divided into four dimensions, namely, daily life activities, mental states, sensory perception and communication, and social participation, and the four-dimensional assessment items are respectively shown in tables 2 to 5 as follows. And obtaining the capability evaluation result of the old through the evaluation results of the four dimensions.

The daily life activity assessment program (section) is shown in table 2.

TABLE 2 daily Living Activity evaluation item (part)

When the total score obtained by daily life activity evaluation is more than 95, the rating is 0 (intact), when the total score is 65-95, the rating is 1 (mild damage), when the total score is 40-65, the rating is 2 (moderate damage), and when the total score is less than 40, the rating is 3 (severe damage).

The mental state evaluation items are shown in table 3.

TABLE 3 evaluation items of mental state (evaluation criteria in the last column)

When the mental state was evaluated, the rating was rated 0 (intact ability) at 0 score, 1 (mild damage) at 1 score, 2 (moderate damage) at 2-3 score and 3 (severe damage) at 4-6 score.

Sensory perception and communication evaluation items are shown in table 4.

TABLE 4 sensory perception and communication evaluation items (evaluation criteria in the last column)

The social engagement assessment items are shown in table 5.

TABLE 5 social participation evaluation item (evaluation criteria in the last column)

Thus, the care level of the care service of a particular care service subject can be obtained by referring to Table 1 based on the evaluation results of tables 2-5 (i.e., the grades obtained based on the evaluation criteria). Of course, this process is performed by a computing device running a corresponding computer program.

FIG. 2 is a schematic flow chart of a portion of the steps of the method of FIG. 1. As shown in fig. 2, the acquiring of the care service object evaluation data input by the care service object evaluation user terminal and the generating of the care service requirement evaluation data of the care service object according to the care service object evaluation data and the setting rule in the method may include:

s110: and generating a care service object evaluation interaction component in a display interface of the care service object evaluation user terminal in response to the care service object evaluation starting instruction.

S120: and generating the care service requirement evaluation data of the care service object according to the care service object evaluation information and the set rule which are input by the care service object evaluation user in the care service object evaluation interaction component.

The care service object assessment user is typically a doctor, but may be other assessment personnel and/or equipment. A doctor can log in a care service object evaluation client application system from a care service object evaluation client (which can be a mobile device such as a mobile phone and a tablet equipped with a corresponding APP, or a computer capable of accessing a corresponding server), evaluate a specific care service object by operating a care service object evaluation interaction component (such as the above-mentioned old man capability evaluation), and then generate care service requirement evaluation data (such as the above-mentioned care service care level and/or corresponding care content) of the care service object according to the care service object evaluation information and a set rule.

The care service object evaluation interaction component is provided with a human-computer interaction interface and can display pre-designed evaluation items for evaluation by doctors, and the evaluation results of the doctors can be directly input and stored from the care service object evaluation interaction component. These evaluation items can often be designed as corresponding tables, for example tables similar to those shown in tables 2 to 5.

FIG. 3 is a schematic flow chart of a part of the steps of the method shown in FIG. 1. In the step S200, namely, the care service information record input by the care service information record user end is obtained, and the corresponding care service record data can be obtained by using the method shown in fig. 3 in the step of obtaining the care service record data of the care service object according to the care service information record.

As shown in fig. 3, acquiring a care service information record input by a user for the care service information record, and acquiring the care service record data of a care service object according to the care service information record includes:

s210: and generating a care service information record acquisition interaction component in a display interface of the care service acquisition client in response to the care service information record acquisition starting instruction.

S220: and acquiring the care service record data of the care service object according to the care service information record input by the user in the care service information record acquisition interactive component.

The care service collecting user is usually a nursing staff of an elderly care institution, and may also be a doctor in a hospital, a medical data query server, and the like, which can import medical data and/or health assessment data of the elderly into a care service collecting user terminal.

In a typical case, nursing staff in an institution records each completed care service through the care service information recording and collecting interactive component in the process of executing daily care services, and uploads auxiliary certification documents such as photos, videos, audios and the like under the condition of need. Thus, the care service record data of the specific care service object can be obtained. The implementation situation of the care service can be judged according to the care service record data and the set rule.

The care service information recording and acquiring interaction component is provided with a human-computer interaction interface for a care service acquisition user to check and operate.

In the step S300, the vital sign detection information input by the vital sign acquisition user side is obtained, and the vital sign acquisition data of the care service object is obtained according to the vital sign detection information, the vital sign acquisition user side is often a care provider of an elderly care institution, and the vital sign acquisition user side may be a mobile phone, a tablet, a notebook, etc. equipped with corresponding APP and hardware.

FIG. 4 is a schematic flow chart of a part of the steps of the method shown in FIG. 1. As shown in fig. 4, obtaining the vital sign detection information input by the vital sign acquisition user end, and obtaining the vital sign acquisition data of the care service object according to the vital sign detection information may include:

s310: the method comprises the steps of directly receiving original encrypted data of vital sign detection information sent by a vital sign acquisition user side under the condition of not carrying out service verification and data validity verification.

S320: and decrypting the original encrypted data of the vital sign detection information, then performing service verification and data validity verification on the decrypted data, and removing the data which does not meet the requirements to obtain the vital sign acquisition data.

Since the service verification and the data validity verification are performed after receiving, the transmission speed when the vital sign detection information original encrypted data sent by the vital sign acquisition user side is received in step S310 can be increased, and the operation time can be saved.

In a typical case, the vital sign collecting user terminal adopts a tablet (computer) with corresponding APP and hardware. The use of the tablet or similar vital sign collection client is shown in fig. 5.

FIG. 5 is a schematic flow chart of a part of the steps of the method shown in FIG. 1. As shown in fig. 5, the process of acquiring the vital sign detection information by the vital sign acquisition user side may include:

s301: and identifying the identity of the vital sign acquisition object and acquiring the identity information of the vital sign acquisition object. The step can be realized by adopting technologies such as an identity card reader or face recognition. An identity card reader or a face recognition camera can be integrated on the vital sign acquisition user terminal.

S302: device information of the vital sign measurement device and raw measurement data corresponding to the device information are obtained. For example, the vital sign measuring device is a blood pressure monitor, an electrocardiograph, an oximeter, etc., and this step is to obtain device information (such as manufacturer, product model, etc.) of the blood pressure monitor, the electrocardiograph, the oximeter, etc.) and raw measurement data corresponding to the device information (i.e. raw measurement data corresponding to the vital sign measuring device).

S303: and converting the original measurement data into measurement data in a standard format according to a set rule. The "standard format" is a preset format, and for example, a standard format of the measurement data of the sphygmomanometer is set in advance, and when the original measurement data of the sphygmomanometer actually used does not conform to the standard format, the format of the original measurement data is converted into the measurement data of the standard format of the sphygmomanometer (the format of the original measurement data can be queried according to the corresponding device information).

S304: and encrypting the data of the standard format measurement data by using the identity information to obtain the vital sign detection information.

In the process, format check and conversion can be actually carried out on the original measurement data of various vital sign measurement devices through the vital sign acquisition user end, so that format conversion is not needed when the vital sign acquisition data of the care service object is obtained according to the vital sign detection information in the follow-up process.

FIG. 6 is a schematic flow chart of a part of the steps of the method shown in FIG. 1. As shown in fig. 6, the generating of the corresponding care service risk analysis and/or early warning information according to the required data in the care service subject evaluation data, the care service requirement evaluation data, the care service record data, and the vital sign acquisition data includes:

s411: and matching the care service requirement evaluation data of the same care service object with the care service record data according to a set rule and generating a matching result.

S412: and judging whether the matching result reaches a set threshold value.

S413: and sending out corresponding early warning notification when the matching result reaches the set threshold value.

According to the above, since the care service requirement evaluation data includes the care service care level of the care service object and the corresponding care content, the care content is matched with the care service record data, and the completion condition of the care content, such as the completion degree of the care content corresponding to the care service care level of the care service object, can be calculated, and when the completion degree is lower than the set threshold value, a corresponding early warning notification is sent out, so that the care service completion condition can be monitored.

FIG. 7 is a schematic flow chart of a part of the steps of the method shown in FIG. 1. As shown in fig. 7, generating corresponding care service risk analysis and/or early warning information according to the required data in the care service subject evaluation data, the care service requirement evaluation data, the care service record data, and the vital sign acquisition data further includes:

s421: and predicting the probability of the specific adverse condition of each care service object according to a set rule by utilizing the care service object evaluation data and/or the vital sign acquisition data of each care service object and generating a prediction result.

S422: and judging whether the prediction result reaches a set threshold value.

S423: and sending out corresponding early warning notification when the judgment prediction result reaches a set threshold value.

In one possible embodiment, the probability of occurrence of a specific failure for each care service object is predicted using the care service object evaluation data for each care service object. Wherein the care service object assessment data comprises care service object (such as elderly) risk assessment data. The risk assessment data comprises assessment data such as falling risk, swallowing risk, stroke risk, pressure sore risk, malnutrition risk and the like of the nursing service object.

The risk assessment data may be obtained using a method similar to that shown in figure 2. For example, a doctor logs in the application system of the care service object assessment client from the care service object assessment client (which may be a mobile device such as a mobile phone and a tablet equipped with a corresponding APP, or a computer capable of accessing a corresponding server), assesses a specific care service object by operating the care service object assessment interaction component, and then generates the risk assessment data. By way of example and not limitation, operating the care service object assessment interaction component may display a gauge for fill out by the care service object assessment user. In the following, a table (table 6) for evaluating the risk of falling for a care-giver is taken as an example.

Table 6 fall risk assessment scale

Thus, the probability of occurrence of a specific failure in each care service object can be predicted from the care service object evaluation data of each care service object.

In one possible implementation, the probability of a specific adverse condition occurring in each care service subject is predicted by using the vital sign acquisition data of each care service subject. More specifically, the method is to input the vital sign acquisition data of each care service object into a trained artificial neural network and predict the probability of specific adverse conditions of each care service object through the artificial neural network.

Preferably, the artificial neural network adopts a classifier trained by an LSTM training model (LSTM refers to a 'long-short term memory network', and the LSTM training model is a prior art). The classifier can be a classifier for predicting the probability of a certain disease of a care service object, and the classifier is used for realizing two classifications; the classifier may also be used to predict the probability of the care service subject suffering from several diseases, and in this case, the classifier is used to implement multi-classification.

In the training stage of the LSTM training model, various intelligent physical examination devices can be used for continuously and dynamically acquiring more types of vital sign acquisition data, then, representative characteristic prediction care service objects are manually selected from a data set to label the current disease symptoms (the labeled prediction care service objects have more complete types and quantities of vital sign data as much as possible and have obvious diseased characteristics), then, the data are input into the LSTM training model for training, and the effect of the classifier is evaluated by the AUC value and the macro AUC value. The AUC value and the macro AUC value are common indicators for evaluating the classification effect of the two-classifier and the multi-classifier, and are not described again.

An input data initial matrix of the LSTM training model may be set to N × M, where N represents the number of physical indication dimensions extracted from the vital signs, that is, the physical indications with N dimensions are effective indications, for example, physical indications such as blood pressure, blood sugar, pulse, and body temperature, and each physical indication is a physical indication with one dimension; m represents the data quantity of one user (the object of the care service), namely M pieces of data which are most recent are extracted from the data of each user for model input. By way of example and not limitation, 19 physical signs of blood pressure, blood glucose, pulse, body temperature and the like are selected, and each sign extracts 540 pieces of data (3 times of detection in 1 day, one piece of data at a time and 180 days of continuous detection to obtain 540 pieces of data), so that input data of the LSTM training model can be regarded as continuous dynamic data, and the classification accuracy of the classifier can be improved.

The number of physical indications is preferably 10-100. The number of test data with a time duration for each physical indication is preferably 100-10000. Because each physical indication has more requirements on the quantity of detection data which continues in time, and one or more physical indications in the vital sign acquisition data lack part of the detection data due to the conditions of wrong data format, missing detection and the like, at this time, the corresponding time of the lacked part of the detection data can be firstly determined, then the lacked detection data can be deduced according to the existing detection data before and after the corresponding time, and the deduced detection data can be supplemented into the vital sign acquisition data, so that the influence of the missing of the detection data on the accuracy of the prediction result is reduced.

The specific calculation method may determine a variation trend of the data according to the existing detection data before and after the corresponding time, and then obtain the calculated detection data according to the variation trend.

Therefore, the probability of specific adverse conditions (such as hypertension, hyperglycemia, bronchial asthma, old stroke, osteoporosis, gout and chronic obstructive pulmonary disease) of each care service object is predicted by inputting the vital sign acquisition data of each care service object into the trained artificial neural network and through the artificial neural network, and corresponding early warning notification is sent out when the prediction result is judged to reach the set threshold value.

In step S423, when the prediction result is judged to reach the set threshold, the corresponding warning notification is sent to the old and the parents via short message, WeChat, APP, WEB, etc. so that the old and the parents can master the health status and the attention at any time, thereby reducing the risk of the old to suffer from diseases.

In an alternative embodiment, the artificial neural network comprises a plurality of parallel classifiers (each trained by an LSTM training model) that are each used to predict the probability that a care-giver will have a particular disease. For example, the artificial neural network includes a hypertension model, a hyperglycemia model, a bronchial asthma model, an old stroke model, an osteoporosis model, a gout model, and a chronic obstructive pulmonary model, each of which is a two-classifier. The two parallel classifiers can respectively receive the vital sign acquisition data of the care service object and synchronously calculate, so that the probability that the care service object suffers from various diseases can be obtained more quickly and accurately.

In addition, the generating of the corresponding care service risk analysis and/or early warning information according to the required data of the care service subject evaluation data, the care service requirement evaluation data, the care service record data and the vital sign acquisition data may further include: and predicting the probability of specific adverse conditions of each care service object according to a set rule by utilizing the care service object evaluation data and/or the vital sign acquisition data of each care service object, and then performing association analysis on the predicted probability value and corresponding care service requirement evaluation data to generate an association analysis result.

Association analysis, also called association rule mining, belongs to an unsupervised algorithm for mining potential association relations from data. The existing association analysis algorithm comprises an Apriori algorithm, an FP-growth algorithm and the like. The association relationship between the health condition of the care service object and the care level (i.e. the care level) of the care service can be analyzed through association analysis, the implicit relationship is mined, and an auxiliary reference is provided for evaluating the care level of the care service object.

Fig. 8 is a schematic structural diagram of a device for acquiring and utilizing care service data according to the present invention. As shown in fig. 8, an apparatus for acquiring and utilizing care service data includes:

a care service requirement evaluation data obtaining module 510, configured to obtain care service object evaluation data input by the care service object evaluation client, and generate care service requirement evaluation data of the care service object according to the care service object evaluation data and a setting rule;

a care service record data obtaining module 520, configured to obtain a care service information record input by the user for the care service information record, and obtain care service record data of the care service object according to the care service information record;

a vital sign acquisition data acquisition module 530, configured to acquire vital sign detection information input by the vital sign acquisition user side, and acquire vital sign acquisition data of the care service object according to the vital sign detection information;

and the risk analysis and early warning module 540 is configured to generate corresponding care service risk analysis and/or early warning information according to the required data in the care service subject evaluation data, the care service requirement evaluation data, the care service record data, and the vital sign acquisition data.

Fig. 9 is a schematic structural diagram of a device (electronic device) for acquiring and utilizing care service data according to the present invention. The device includes: a processor 610; a memory 620 for storing processor-executable instructions; the processor 610 is configured to perform the above-described method of acquiring and utilizing care service data.

Specifically, the processor 610 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the method for acquiring and utilizing care service data.

Memory 620 may include mass storage for data, which may include for data or instructions. By way of example, and not limitation, memory 620 may include a Hard Disk Drive (HDD), a floppy Disk Drive, flash memory, an optical Disk, a magneto-optical Disk, tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 620 may include removable or non-removable (or fixed) media, where appropriate. The memory 620 may be internal or external to the data processing device, where appropriate. In a particular embodiment, the memory 620 is a non-volatile solid-state memory. In certain embodiments, memory 620 comprises Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.

The processor 610 may implement the above-described method of acquiring and utilizing care service data by reading and executing computer program instructions stored in the memory 620.

In one embodiment of the care service data acquisition and utilization device, the care service data acquisition and utilization device may further include a communication interface 630 and a bus 640. As shown in fig. 8, the processor 610, the memory 620, and the communication interface 630 are connected via a bus 640 to complete communication therebetween.

The communication interface 630 is mainly used for communication between modules, devices, units and/or apparatuses necessary for realizing acquisition and utilization of care service data. The bus 640 includes hardware, software, or both to couple the components of the proof of condition generating electronics to one another. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 640 may include one or more buses, where appropriate. Although this disclosure describes and illustrates a particular bus, this disclosure contemplates any suitable bus or interconnect.

Executable instructions of the device for acquiring and utilizing the care service data can be stored in a computer readable storage medium, the computer readable storage medium comprises a stored program, and the program executes the method for acquiring and utilizing the care service data.

Those of ordinary skill in the art will be able to implement the embodiments of the present invention based on these descriptions. Based on the above description provided herein, all other embodiments that may be derived by one of ordinary skill in the art without making any creative effort shall fall within the protection scope of the present invention.

Claims

1. A method for acquiring and utilizing care service data, comprising:

acquiring the care service object evaluation data input by the care service object evaluation client, and generating the care service requirement evaluation data of the care service object according to the care service object evaluation data and the set rule;

acquiring a care service information record, and acquiring care service record data of a care service object according to the care service information record;

acquiring vital sign detection information input by a vital sign acquisition user side, and acquiring vital sign acquisition data of a care service object according to the vital sign detection information;

and generating corresponding care service risk analysis and/or early warning information according to the required data in the care service object evaluation data, the care service requirement evaluation data, the care service record data and the vital sign acquisition data.

2. The method for acquiring and utilizing care service data as claimed in claim 1, wherein the acquiring of the care service object evaluation data inputted by the care service object evaluation client, and the generating of the care service requirement evaluation data of the care service object according to the care service object evaluation data and the setting rule comprises:

generating a care service object evaluation interaction component in a display interface of the care service object evaluation user terminal in response to the care service object evaluation starting instruction;

and generating the care service requirement evaluation data of the care service object according to the care service object evaluation information and the set rule which are input by the care service object evaluation user in the care service object evaluation interaction component.

3. The method for acquiring and utilizing care service data as claimed in claim 1, wherein acquiring the care service information record from the care service information record input by the user side, and acquiring the care service record data of the care service object according to the care service information record comprises:

generating a care service information record acquisition interaction component in a display interface of a care service acquisition user side in response to a care service information record acquisition starting instruction;

and acquiring the care service record data of the care service object according to the care service information record input by the user in the care service information record acquisition interactive component.

4. The method for acquiring and utilizing care service data according to claim 1, wherein the acquiring of the vital sign detection information input by the vital sign acquisition user side, and the acquiring of the vital sign acquisition data of the care service subject according to the vital sign detection information comprises:

directly receiving the original encrypted data of the vital sign detection information sent by the vital sign acquisition user side under the condition of not carrying out service verification and data validity verification;

and decrypting the original encrypted data of the vital sign detection information, then performing service verification and data validity verification on the decrypted data, and removing the data which does not meet the requirements to obtain the vital sign acquisition data.

5. The method for acquiring and utilizing care service data as claimed in claim 1, wherein the process of acquiring the vital sign detection information by the vital sign acquisition client comprises:

carrying out identity recognition on the vital sign acquisition object and obtaining identity information of the vital sign acquisition object;

acquiring equipment information of vital sign measuring equipment and original measuring data corresponding to the equipment information;

converting the original measurement data into standard format measurement data according to a set rule;

and encrypting the data of the standard format measurement data by using the identity information to obtain the vital sign detection information.

6. The method of claim 1, wherein generating corresponding care service risk analysis and/or pre-warning information based on the desired data of the care service subject assessment data, care service requirement assessment data, care service record data, and vital sign acquisition data comprises:

matching the care service requirement evaluation data of the same care service object with the care service record data according to a set rule and generating a matching result;

and/or

And matching the care service requirement evaluation data of the same care service object with the care service record data according to a set rule, and sending out a corresponding early warning notice when the matching result reaches a set threshold value.

7. The method of claim 1, wherein generating corresponding care service risk analysis and/or pre-warning information based on the desired data of the care service subject assessment data, care service requirement assessment data, care service record data, and vital sign acquisition data comprises:

the method comprises the steps that the care service object evaluation data and/or the vital sign acquisition data of each care service object are utilized, and the probability of specific adverse conditions of each care service object is predicted according to a set rule to generate a prediction result;

and/or

The method comprises the steps that the care service object evaluation data and/or the vital sign acquisition data of each care service object are utilized, the probability of specific adverse conditions of each care service object is predicted according to a set rule, and corresponding early warning notification is sent out when the prediction result reaches a set threshold value;

and/or

And predicting the probability of specific adverse conditions of each care service object according to a set rule by utilizing the care service object evaluation data and/or the vital sign acquisition data of each care service object, and then performing association analysis on the predicted probability value and corresponding care service requirement evaluation data to generate an association analysis result.

8. A care service data acquisition and utilization device, comprising:

the system comprises a care service requirement evaluation data acquisition module, a care service requirement evaluation data acquisition module and a care service object evaluation module, wherein the care service requirement evaluation data acquisition module is used for acquiring care service object evaluation data input by a care service object evaluation client and generating care service requirement evaluation data of a care service object according to the care service object evaluation data and a set rule;

the system comprises a care service record data acquisition module, a service management module and a service management module, wherein the care service record data acquisition module is used for acquiring a care service information record input by a user terminal for the care service information record and acquiring care service record data of a care service object according to the care service information record;

the vital sign acquisition module is used for acquiring vital sign detection information input by the vital sign acquisition user side and acquiring vital sign acquisition data of a care service object according to the vital sign detection information;

and the risk analysis early warning module is used for generating corresponding care service risk analysis and/or early warning information according to the required data in the care service object evaluation data, the care service requirement evaluation data, the care service record data and the vital sign acquisition data.

9. An apparatus for acquiring and utilizing care service data, comprising:

a processor;

a memory for storing processor-executable instructions;

the processor is configured to perform the method of acquiring and utilizing care service data of any of claims 1-7.

10. A computer-readable storage medium, characterized in that: comprising a stored program which when executed performs the method of acquiring and utilizing care service data of any one of claims 1-7.