CN114186768A - A kind of nursing quality management method and system - Google Patents
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Abstract
本发明公开了一种护理质量管理方法和系统，其中，所述方法包括：采集用户的生理参数数据；根据用户的输入操作获取用户对护理工作者的护理反馈评分；根据所述用户的生理参数数据和对护理工作者的护理反馈评分计算护理工作者的护理质量评分；输出所述护理质量评分。本发明通过综合用户健康状况检测和对护理状况的直接反馈，能更好的对护理工作的监督，同时也可以为护理机构和护理工作者提供服务改进的信息。
The invention discloses a nursing quality management method and system, wherein the method includes: collecting physiological parameter data of a user; obtaining a nursing feedback score of a user to a nursing worker according to an input operation of the user; according to the physiological parameter of the user The data and the nursing feedback score to the nursing worker calculate the nursing quality score for the nursing worker; the nursing quality score is output. The present invention can better supervise the nursing work by synthesizing the user's health status detection and direct feedback on the nursing status, and can also provide information on service improvement for nursing institutions and nursing workers.
Description
Technical Field
The invention relates to the technical field of medical care, in particular to a nursing quality management method and system.
Background
The management of care quality, particularly for elderly people, is an important social issue in situations where the care subject lacks an effective feedback channel and the condition of care is poorly monitored. The rapid development of the internet and the intelligent terminal provides possibility for solving the problem, but a great deal of research and invention are focused on a monitoring system and a monitoring method for health conditions of the user, but the method can only detect physiological parameter information of the user, such as heart rate, body temperature, blood pressure, blood oxygen and the like, cannot check and monitor the nursing conditions of the user, and cannot feed back the nursing quality in real time. Therefore, it is necessary to invent a nursing condition monitoring and evaluating system and related method based on internet and intelligent technology.
Disclosure of Invention
In order to solve the above problems, the present invention provides a care quality management method and system that enables users to actively participate in, manage their care status while also providing service improvement information to care institutions and care workers.
In order to achieve the aim, the invention provides a nursing quality management method, which comprises the following steps:
collecting physiological parameter data of a user;
acquiring a nursing feedback score of a user for a nursing worker according to input operation of the user;
calculating a care quality score for a care worker based on the physiological parameter data for the user and a care feedback score for the care worker;
outputting the care quality score.
Further, the user input operation is to select an option of a predetermined question, wherein different options correspond to different scores.
Further, the calculating a care quality score for a care worker from the user's physiological parameter data and a care feedback score for the care worker comprises:
calculating a deviation value of the physiological parameter data from a first threshold range, wherein the deviation value is greater than or equal to 0;
and calculating the care quality score of the care worker according to the care feedback score of the user to the care worker and the deviation value.
Further, the calculating a care quality score for a care worker based on the user's care feedback score for the care worker and the deviation value comprises:
carrying out data conversion normalization processing on the deviation value to obtain a health index;
and judging whether the decline value of the health index is larger than a second threshold value, if so, calculating the nursing quality score of the nursing worker according to the difference value of the nursing feedback score of the user to the nursing worker and the decline value of the health index, otherwise, the nursing quality score of the nursing worker is equal to the nursing feedback score of the user to the nursing worker.
Further, the care quality management method further comprises the steps of: and carrying out weighted summation or weighted average on the past care quality scores and the current care quality scores of the same care workers to obtain the care quality comprehensive scores of the care workers.
Further, the care quality management method further comprises the steps of: and carrying out weighted summation or weighted average on the nursing quality comprehensive scores of all nursing workers of the nursing institution to obtain the nursing quality comprehensive score of the nursing institution.
Further, after acquiring the physiological parameter data of the user, the method further comprises the following steps: and judging whether the physiological parameter data exceeds a first threshold range, if so, starting video monitoring to acquire video information of the user, and generating an emergency processing signal.
Further, the acquiring physiological parameter data of the user comprises: collecting at least two different physiological parameter data; judging whether the physiological parameter data exceed a first threshold range, if so, generating an emergency processing signal, and if the physiological parameter data exceed the first threshold range, the larger the absolute value of the physiological parameter data exceeds the first threshold range, the higher the priority of the emergency processing signal.
In order to achieve the above object, the present invention further provides a care quality management system, which comprises an intelligent terminal and a regional processing center, wherein,
the intelligent terminal is used for acquiring physiological parameter data of a user and/or shooting video information of the user, and acquiring feedback scores of the user to nursing workers according to input operation of the user;
the regional processing center is used for calculating a care quality score of a care worker according to the physiological parameter data of the user and the care feedback score of the care worker and outputting the care quality score.
Furthermore, the intelligent terminal is also used for judging whether the acquired user physiological parameter data exceeds a first threshold range, and if so, sending an emergency processing signal to the regional processing center.
The intelligent terminal is further used for comparing the collected different physiological parameter data with a first threshold range respectively, judging whether the physiological parameter data exceed the first threshold range, if so, sending an emergency processing signal to the regional processing center, and the higher the absolute value of the physiological parameter data exceeding the first threshold range is, the higher the priority of the intelligent terminal sending the emergency processing signal to the regional processing center is.
Further, the care quality management system further comprises: and the data center is used for receiving and storing the nursing quality scores output by the area processing center and updating the existing nursing quality scores in the database center.
Further, the data center includes:
a user health database for storing and updating user health index and nursing history;
a nursing worker database for storing and updating the nursing quality score data and the user feedback score records of the nursing workers and the working record information of the nursing workers;
and the nursing institution database is used for storing and updating the bed historical record, the nursing worker login record, the current score and the historical score record of the nursing worker.
Further, the regional processing center is specifically configured to calculate a deviation value of the physiological parameter data from a first threshold range, wherein the deviation value is greater than or equal to 0; and calculating the care quality score of the care worker according to the care feedback score of the user to the care worker and the deviation value.
Further, the area processing center is specifically configured to perform data conversion normalization processing on the deviation value to obtain a health index; and judging whether the decline value of the health index is larger than a second threshold value, if so, calculating the nursing quality score of the nursing worker according to the difference value of the nursing feedback score of the user to the nursing worker and the decline value of the health index, otherwise, the nursing quality score of the nursing worker is equal to the nursing feedback score of the user to the nursing worker.
Further, the regional processing center is also used for carrying out weighted summation or weighted average on the past care quality scores and the current care quality scores of the same care workers to obtain the care quality comprehensive scores of the care workers.
Further, the regional processing center is also used for carrying out weighted summation or weighted average on the care quality comprehensive scores of all the care workers of the same user to obtain the care quality score of the care institution.
And further, the intelligent terminal is also used for judging whether the physiological parameter data exceeds a first threshold range, if so, starting video monitoring to acquire video information of the user, generating an emergency processing signal and sending the emergency processing signal to a regional processing center or a preset mechanism or an individual.
The invention has the beneficial effects that: user feedback channels are provided to allow the user to actively participate in the care process to better fulfill the requirements and needs of care, and to provide improved service information to the care institution and care workers. The present invention does not replace existing care facilities and services, but instead provides a user-oriented bi-directional structure based on co-operation, thereby enabling care status to be monitored and improved.
Drawings
Fig. 1 is a schematic flow chart of a care quality management method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of calculating a care quality score according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of calculating a care quality score according to an embodiment of the present invention;
FIG. 4 is a schematic view of another flowchart for calculating a care quality score according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a care quality management system according to a second embodiment of the present invention;
fig. 6 is a schematic structural diagram of connection of an intelligent terminal according to a second embodiment of the present invention;
FIG. 7 is a schematic view of another structure of a care quality management system according to a second embodiment of the present invention;
fig. 8 is a schematic structural diagram of a data center according to a second embodiment of the present invention.
Detailed Description
Example one
As shown in fig. 1, the nursing quality management method provided by the present invention includes the following steps:
and S100, collecting physiological parameter data of the user. The user is usually a subject to be cared for, such as an elderly person in an elderly people's home, an elderly care home, or a patient in a medical institution. The physiological parameter data includes parameters such as heart rate, abnormal heart rate, body temperature, blood pressure, blood oxygen and the like, and reflects the health index of the nursed object.
And S200, acquiring a nursing feedback score of the user to the nursing worker according to the input operation of the user. And the user performs input operation on the man-machine interaction interface so as to perform feedback scoring on the nursing workers. For example, different questions and corresponding options can be preset, for example, different options are respectively set for related questions such as cleaning status, diet status, reaction speed, medication time, work state degree and the like, a user can feed back the care status by clicking the options under different questions, and different options can be set to correspond to different scoring values to reflect the care quality of a care worker.
And S300, calculating a care quality score of the care worker according to the physiological parameter data of the user and the care feedback score of the care worker. After obtaining the physiological parameter data of the user and the nursing feedback scores of the user to the nursing workers, the nursing quality scores of the nursing workers are calculated by combining the physiological parameter data and the nursing feedback scores. Because the score fed back by the user may have certain subjectivity, and the physiological parameter monitoring data is generally objective, the two are combined, and the physiological parameter data of the user, which is an index reflecting the health condition, is taken into consideration when the nursing quality score is calculated, so that the finally obtained nursing quality score has scientificity and referential property.
S400, outputting the care quality score. And outputting the calculated nursing quality scores to preset receivers, such as nursing institutions, medical institutions and guardians of nursing objects, or outputting the calculated nursing quality scores to a preset database, and updating the existing nursing quality score data. In addition, the calculated nursing quality scoring data can be output to a data center, such as a database in a cloud or a local computer, the data is stored and can be updated in real time or periodically for related workers or users to check, so that the evaluation and nursing staff of a nursing institution can be referred to, and other new users needing nursing service can be referred to selectively. Of course, treatment opinions and reports may also be generated based on the care quality scores. Processing the opinion includes emergency intervention into the user's state, contact with relevant care and medical institutions, communication with the user, improving monitoring levels and reporting for further analysis, etc. The combined report and the evaluation results are output to the corresponding database to be provided to the user, the nursing institution and the nursing staff for further reference.
Further, as shown in fig. 2, after acquiring the physiological parameter data of the user, the step S300 further includes:
s301, comparing the acquired physiological parameter data with a preset first threshold range, and judging whether the acquired physiological parameter data exceeds the first threshold range to calculate a deviation value of the physiological parameter data from the first threshold range. The first threshold range represents a normal value range of each physiological parameter index, wherein different physiological parameter data correspond to different threshold ranges. For example, if the heart rate is normal from 50 to 80 beats per minute, the first threshold range for the physiological parameter is 50-80 beats per minute. If the systolic pressure is set to be 100-120 and the diastolic pressure is set to be 60-80, the first threshold range of the physiological parameter, blood pressure, is 100-120 and the diastolic pressure is 60-80. The deviation value of the physiological parameter data from the first threshold range is greater than or equal to 0, when the physiological parameter data exceeds the first threshold range, the deviation value is greater than 0, and when the physiological parameter data is within the first threshold range, the deviation value is 0.
S302, calculating a care quality score of the care worker according to the care feedback score of the user to the care worker and the deviation value, as shown in fig. 3, the step S302 is specifically as follows:
and S312, carrying out data conversion normalization processing on the deviation value to obtain a health index. For example, if the heart rate is normal from 50 to 80 per minute, corresponding to the index 100, and if the heart rate changes to 90, the deviation value is 10, the deviation value is normalized by the central value 65 to obtain a normalized deviation value of (10/65) × 100 ═ 15.38; after normalization, the heart rate health index of 100-15.38-84.62 is obtained. Again, the systolic pressure is set to 100-120 for blood pressure and the diastolic pressure is set to 60-80 for blood pressure. If the measured value is 140/90, the deviation value is 20/10, the normalized deviation value is 18.18/11.11, the normalized blood pressure health index is 81.82/88.89, and the average blood pressure health index is 85.36. Therefore, the maximum value of the health index is 100, and the health indexes of different physiological parameters are all in the range of 0-100 through normalization processing, so that comparison with the threshold value is facilitated, and physiological parameter data of different units can be judged by using the same standard for the threshold value.
And S322, judging whether the decline value of the health index is larger than a second threshold value, if so, executing a step S332, namely, calculating the care quality score of the care worker according to the difference value of the care feedback score of the user to the care worker and the decline value of the health index, otherwise, executing a step S342, wherein the care quality score of the care worker is equal to the care feedback score of the user to the care worker. Through the normalization processing, the health indexes of different physiological parameters are mapped to the same range (0-100), so that when the nursing feedback score is subtracted from the health index, the obtained nursing quality score of the nursing worker is still in the same standard, and the consistency cannot be lost due to different units of different physiological parameters. The data obtained by the calculation transforms information obtained by different information sources under different conditions to obtain simpler, consistent and centralized scores, provides simple and clear information with more reference value and action guidance while providing detailed detection results.
Before data collection or feedback scoring of a care worker by a user is acquired, data initialization setting can be performed, for example, physiological parameter data, health indexes and care quality scoring are initialized, and existing records of a care object (namely the user) can be used as reference or standard values to serve as initial data.
Further, the calculation of the care quality score is further combined with historical data to obtain, for example, as shown in fig. 4, after S400, a step S500 is further included, in which the past care quality score of the same care worker and the current care quality score are subjected to weighted summation or weighted average to obtain a care quality comprehensive score of the care worker. For example, dividing the care quality scores of the care workers in different periods by week unit, and weighting and summing the data of the care workers in the past N weeks to obtain the care quality comprehensive score: the overall care quality score is (first week average score) and weighting factor 1+ (second week average score) and weighting factor 2+ … … + (nth week average score) and weighting factor N, wherein the weighting factor 1+ weighting factor 2+ … … + weighting factor N is 1, and the weighting factors (weights) in different time periods are determined according to experimental test data. As shown in fig. 4, step S600 is then executed to output the care quality comprehensive score. By summing the historical data to calculate the nursing quality comprehensive score and setting different weights for the nursing quality scores in different periods, the influence of subjective factors or accidental factors on the score can be better eliminated, and the obtained nursing quality score has higher objectivity.
Further, the care quality scores of the care institutions may also be obtained by weighted summing or weighted averaging of the care quality (composite) scores of all care workers for the same subject of care (user). For example, the following examples: assuming that there are M care providers in a total of care providers, the overall care provider score for each subject of care is (first care provider score) weighting factor 1+ (second care provider score) weighting factor 2+ … … + (mth care provider score) weighting factor M, where the weighting factor 1+ weighting factor 2+ … … + weighting factor M is 1, and the weighting factors (weights) for different care provider scores are determined according to experimental test data. And finally, averaging the comprehensive nursing institution scores of all nursing subjects to obtain the overall comprehensive nursing institution score.
As described above, after the physiological parameter data of the user is collected, the collected physiological parameter data is compared with the predetermined first threshold range, and whether the collected physiological parameter data exceeds the first threshold range is determined. When the acquired physiological parameter data is judged to be beyond the first threshold range, an emergency processing signal can be generated to inform relevant institutions or individuals, such as an aged nursing home, a hospital or relatives, friends, guardians and the like of the user. Before the related organizations or individuals are notified, the service desk or the regional processing center can judge to determine the emergency processing level, and only when a certain emergency processing level is reached, the emergency processing signal is sent to the related organizations and individuals. As a preferred embodiment, when the acquired physiological parameter data is judged to exceed the first threshold range, video monitoring for the user can be started, and images or videos of the user can be shot for the reference of the organization or the individual receiving the emergency signal, so as to decide whether to take emergency treatment and rescue actions. The video monitoring can be started or not after being judged by a service desk or a regional processing center.
Further, the acquired physiological parameter data of the user comprises at least two different physiological parameter data, the different physiological parameter data correspond to different first threshold value ranges, when the physiological parameter data and the threshold values are compared, whether the acquired physiological parameter data exceed the corresponding first threshold value ranges is judged respectively, and if the acquired physiological parameter data exceed the corresponding first threshold value ranges, an emergency processing signal is generated. And if the value (absolute value) of a certain physiological parameter data exceeding the first threshold range is larger, the physiological parameter index has the urgency of needing further processing or intervention, and the data should be processed preferentially, so that the priority of the corresponding emergency processing signal is higher. In practical applications, the emergency degree may also be determined by setting an emergency handling index, for example, setting an initial value of the emergency handling index, when a certain physiological parameter data value exceeds a first threshold range, the emergency handling index decreases, and the larger the physiological parameter data value exceeds the first threshold range, the more the emergency handling index decreases. Furthermore, the priority of the emergency signal processing can be judged according to the magnitude value of the emergency processing index, namely, the more the emergency processing index is reduced, the higher the priority of the emergency signal processing is.
Example two
As shown in fig. 5, the present invention also provides a care quality management system 10, which includes an intelligent terminal 110 and a regional processing center 120. The intelligent terminal 110 may be a portable device with physiological parameter monitoring function, such as an intelligent bracelet, an intelligent watch, an intelligent oximeter, and an intelligent ring. The intelligent terminal 110 may include a camera function for acquiring an image or video information of a user, or a camera independent from the intelligent device may be separately provided for acquiring an image or video information of a user (see fig. 6). The intelligent terminal 110 collects the physiological parameters of the user or acquires the image/video information of the user, and then sends the physiological parameters or the image/video information to the regional processing center 120, and the regional processing center 120 further processes the physiological parameters or the image/video information. As a preferred embodiment, as shown in fig. 6, the smart terminal 110 further includes a smart phone, and after the smart terminal 110 collects the physiological parameters of the user or obtains the image/video information of the user, the physiological parameters are sent to the smart phone through a wireless connection (such as wifi or bluetooth), and the smart phone performs part of data processing, and then transmits the data to the regional processing center 120.
The intelligent terminal 110 may further obtain feedback scores of the user to the nursing workers according to input operations of the user, for example, different questions and corresponding options may be preset, for example, different options may be respectively set for related questions such as cleaning status, diet status, reaction speed, medicine taking time, and work degree, the user may click the options under different questions on the human-computer interaction interface of the intelligent terminal 110 to feed back the nursing status, and the different options may set corresponding different scores to reflect the nursing quality of the nursing workers. The operation can be set to be carried out on a portable physiological parameter monitoring device or a smart phone according to different requirements. In addition, the user can also feed back the nursing score in a more active manner through the smart terminal 110 or the smart phone, for example, inputting his/her own evaluation on the nursing quality by typing, voice or video, and transmitting the nursing quality score to the regional processing center 120, which converts the nursing quality evaluation into a score according to a predetermined rule; or the regional processing center 120 carries out manual processing to correspond the nursing quality evaluation description of the user to the nursing workers to different scores, which is more favorable for eliminating subjective factors.
The intelligent terminal 110 is further configured to compare the collected different physiological parameter data with a first threshold range, determine whether the physiological parameter data exceeds the first threshold range, and if the physiological parameter data exceeds the first threshold range, send an emergency processing signal to the regional processing center 120, and the larger the absolute value of the physiological parameter data exceeding the first threshold range is, the higher the priority of sending the emergency processing signal to the regional processing center 120 by the intelligent terminal 110 is. If a physiological parameter data exceeds a first threshold range by a greater number (in absolute terms) indicating that the physiological parameter indicator is imminent for further processing or intervention, the data should be prioritized, and therefore the priority of its corresponding emergency treatment signal is higher. In practical applications, the emergency degree may also be determined by setting an emergency handling index, for example, setting an initial value of the emergency handling index, when a certain physiological parameter data value exceeds a first threshold range, the emergency handling index decreases, and the larger the physiological parameter data value exceeds the first threshold range, the more the emergency handling index decreases. Furthermore, the priority of the emergency signal processing can be judged according to the magnitude value of the emergency processing index, namely, the more the emergency processing index is reduced, the higher the priority of the emergency signal processing is.
The regional processing center 120 receives the user physiological parameter data acquired by the intelligent terminal and the nursing feedback score of the user to the nursing worker, and calculates the nursing quality score of the nursing worker according to the physiological parameter data and the nursing feedback score; or the regional processing center 120 receives the user physiological parameter data collected by the intelligent terminal 110 and the nursing quality evaluation of the user to the nursing workers, converts the nursing quality evaluation into a scoring mode, calculates the nursing quality score of the nursing workers, and finally outputs the nursing quality score. After obtaining the physiological parameter data of the user and the nursing feedback scores of the user to the nursing workers, the nursing quality scores of the nursing workers are calculated by combining the physiological parameter data and the nursing feedback scores. Because the score fed back by the user may have certain subjectivity, and the physiological parameter monitoring data is generally objective, the two are combined, and the index reflecting the health condition, namely the physiological parameter data of the user, is taken into consideration when the nursing quality score is calculated, so that the finally obtained nursing quality score has scientificity and referential property.
The regional processing center 120 is further configured to calculate a deviation of the physiological parameter data from a first threshold range, wherein the deviation is greater than or equal to 0; and calculating the care quality score of the care worker according to the care feedback score of the user to the care worker and the deviation value.
The invention emphasizes human-computer interaction, thereby achieving the balance and combination of the effectiveness and the objectivity of judgment, and simultaneously providing information to relevant aspects in time when an emergency occurs, thereby avoiding the uncertainty depending on machines and technologies and the low efficiency and the non-objectivity depending on manpower.
The first threshold range represents a normal value range of each physiological parameter index, wherein different physiological parameter data correspond to different threshold ranges. For example, if the heart rate is normal from 50 to 80 beats per minute, the first threshold range for the physiological parameter is 50-80 beats per minute. If the systolic pressure is set to be 100-120 and the diastolic pressure is set to be 60-80, the first threshold range of the physiological parameter of the blood pressure is 100-120 and the diastolic pressure is 60-80. The deviation value of the physiological parameter data from the first threshold range is greater than or equal to 0, when the physiological parameter data exceeds the first threshold range, the deviation value is greater than 0, and when the physiological parameter data is within the first threshold range, the deviation value is 0. The step of determining whether the physiological parameter data exceeds the first threshold range may be performed on the smart terminal 110 (or smart phone) and send the determination and comparison result to the area processing center 120, or may be performed directly at the area processing center 120.
After calculating the deviation value, the regional processing center 120 may calculate a care quality score of the care worker according to the care feedback score of the user to the care worker and the deviation value, as follows:
(1) and carrying out data conversion normalization processing on the deviation value to obtain a health index. For example, if the heart rate is normal from 50 to 80 per minute, corresponding to the index 100, and if the heart rate changes to 90, the deviation value is 10, the deviation value is normalized by the central value 65 to obtain a normalized deviation value of (10/65) × 100 ═ 15.38; after normalization, the heart rate health index of 100-15.38-84.62 is obtained. Again, the systolic pressure is set to 100-120 for blood pressure and the diastolic pressure is set to 60-80 for blood pressure. If the measured value is 140/90, the deviation value is 20/10, the normalized deviation value is 18.18/11.11, the normalized blood pressure health index is 81.82/88.89, and the average blood pressure health index is 85.36. Therefore, the maximum value of the health index is 100, and the health indexes of different physiological parameters are all in the range of 0-100 through normalization processing, so that comparison with the threshold value is facilitated, and physiological parameter data of different units can be judged by using the same standard for the threshold value.
(2) And judging whether the decline value of the health index is larger than a second threshold value, if so, calculating the nursing quality score of the nursing worker according to the difference value of the nursing feedback score of the user to the nursing worker and the decline value of the health index, otherwise, the nursing quality score of the nursing worker is equal to the nursing feedback score of the user to the nursing worker. Through the normalization processing, the health indexes of different physiological parameters are mapped to the same range (0-100), so that when the care feedback score is subtracted from the health index, the obtained care quality score of the care worker is still in the same standard, and consistency cannot be lost due to different units of different physiological parameters. The data obtained by the calculation transforms the information obtained by different information sources under different conditions to obtain simpler, consistent and centralized scores, provides simple and clear information with more reference value and action guidance while providing detailed detection results.
Before collecting data or obtaining feedback scores of users to care workers, the intelligent terminal 110 and the regional processing center 120 may perform data initialization setting, for example, physiological parameter data, health index, and care quality score, and may use the existing record of the object to be cared (i.e., the user) as a reference or standard value as initial data.
Further, the calculation of the care quality score by the regional processing center 120 is also combined with the historical data to obtain, for example, a weighted sum or a weighted average of the past care quality score and the current care quality score of the same care worker to obtain a care quality composite score of the care worker. For example, the care quality scores of the care workers in different periods are divided by week unit, and the data of the care workers in the past N weeks can be weighted and summed to obtain the care quality comprehensive score: the overall care quality score is (first week average score) with a weighting factor of 1+ (second week average score) with a weighting factor of 2+ … … + (nth week average score) with a weighting factor of 1+ weighting factor of 2+ … … + weighting factor N of 1, with the weighting factors (weights) over different time periods being determined based on experimental test data. By combining historical data and calculating nursing quality comprehensive scores and setting different weights for nursing quality scores in different periods, the influence of subjective factors or accidental factors on the scores can be better eliminated, and the obtained nursing quality scores have more objective.
Further, the regional processing center 120 may also perform a weighted summation or weighted average of the care quality (composite) scores of all care workers for the same care subject (user) to obtain the care quality score of the care institution. For example: assuming that there are M care providers in total, the care provider composite score for each care subject is (first care provider score) weight coefficient 1+ (second care provider score) weight coefficient 2+ … … + (mth care provider score) weight coefficient M, where the weight coefficient 1+ weight coefficient 2+ … … + weight coefficient M is 1, and the weight coefficients (weights) for different care provider scores are determined according to experimental test data. And finally, calculating the average value of the comprehensive nursing institution scores of all nursing subjects to obtain the overall comprehensive nursing institution score.
As described above, after acquiring the physiological parameter data of the user, the intelligent terminal 110 compares the acquired physiological parameter data with the predetermined first threshold range, and determines whether the acquired physiological parameter data exceeds the first threshold range. When the acquired physiological parameter data is judged to be beyond the first threshold range, an emergency processing signal can be generated to inform relevant institutions or individuals, such as an aged nursing home, a hospital or relatives, friends, guardians and the like of the user. Of course, before these related organizations or individuals are notified, the emergency processing signal may be sent to the regional processing center 120 for discrimination, the emergency processing level is determined, and only when a certain emergency processing level is reached, the emergency processing signal is sent to the related organizations and individuals; or after being sent to the regional processing center, the processing opinion is directly given by the processing center through analysis and evaluation and is sent to the relevant organization or the individual. As a preferred embodiment, when it is determined that the acquired physiological parameter data exceeds the first threshold range, video monitoring for the user may be started, and images or videos of the user may be captured for reference by the institution or individual receiving the emergency signal, so as to determine whether to take emergency treatment and rescue actions. The video monitoring can be started or not after being judged by a service desk or a regional processing center.
The care feedback record in the present invention provides information that allows users to actively participate in, manage their care status while also providing improved service to care institutions and care workers. It does not replace existing care facilities and services; instead, it provides a user-oriented bi-directional structure based on co-operation, thereby enabling the monitoring and improvement of the care status.
Further, as shown in fig. 7, the care quality management system provided by the present invention further includes a data center 130 for receiving and storing the care quality scores output by the regional processing centers, and updating the existing care quality scores in the data center 130. The data center may be a database located on a cloud server or a database located on a local computer, as shown in fig. 8, where the data center 130 includes:
a user health database 131 for storing and updating a user health index and a care history, and in addition, storing and updating physiological parameter data, medical treatment records, and the like of the user;
a caregiver database 132 for storing and updating caregiver quality score data and user feedback score records, and in addition, a caregiver working history record;
a care institution database 133 for storing and updating the bed history, caregiver log, caregiver current scores, and historical score records.
The open nature of the database provides the possibility of selecting effective and quality care services for a wide user population, as well as providing reference information for improving the quality of service for care service institutions and individuals. The database is connected to a plurality of processing centers, and the input data of the database can comprise various information sources under the condition that the reliability and the accuracy are verified, and the information sources can be records of medical institutions or nursing institutions. The centralization and unification of the information are realized through the establishment of the database. Thereby providing an effective tool and method for the supervision and management of the quality of care. The present invention constructs and continuously updates a database to provide effective reference information for users seeking superior care services, personal health information for care institutions and medical institutions, and scoring and improving information for care workers.
It should be noted that, according to the implementation requirement, each step described in the present application can be divided into more steps, and two or more steps or partial operations of the steps can be combined into a new step to achieve the purpose of the present invention. Meanwhile, each functional module described in the present application may be split into more functional modules, or two or more functional modules or partial functions of the functional modules may be combined into a new functional module, so as to achieve the purpose of the present invention.
It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art can devise various solutions in light of the present disclosure, which are also within the scope of the present disclosure and are to be protected by the present invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.
Claims (12)
1. A care quality management method is characterized by comprising the following steps:
collecting physiological parameter data of a user;
acquiring a nursing feedback score of a user for a nursing worker according to input operation of the user;
calculating a care quality score for a care worker based on the user's physiological parameter data and a care feedback score for the care worker;
outputting the care quality score.
2. The care quality management method according to claim 1,
the calculating a care quality score for a care worker from the physiological parameter data of the user and a care feedback score for the care worker comprises:
calculating a deviation value of the physiological parameter data from a first threshold range, wherein the deviation value is greater than or equal to 0;
and calculating the care quality score of the care worker according to the care feedback score of the user to the care worker and the deviation value.
3. The method of care quality management according to claim 2, wherein said calculating a care quality score for a care worker based on the user's care feedback score for the care worker and the deviation value comprises:
carrying out data conversion normalization processing on the deviation value to obtain a health index;
and judging whether the decline value of the health index is larger than a second threshold value, if so, calculating the nursing quality score of the nursing worker according to the difference value of the nursing feedback score of the user to the nursing worker and the decline value of the health index, otherwise, the nursing quality score of the nursing worker is equal to the nursing feedback score of the user to the nursing worker.
4. The care quality management method according to claim 1, wherein the outputting the care quality score includes:
carrying out weighted summation or weighted average on the past care quality score and the current care quality score of the same care worker to obtain a comprehensive care quality score of the care worker;
and outputting the nursing quality comprehensive score.
5. The care quality management method according to claim 4, further comprising the steps of:
and carrying out weighted summation or weighted average on the care quality comprehensive scores of all the care workers of the same user to obtain the care quality score of the care institution.
6. A nursing quality management system is characterized by comprising an intelligent terminal and a regional processing center, wherein,
the intelligent terminal is used for acquiring physiological parameter data of a user and/or shooting video information of the user, and acquiring feedback scores of the user to nursing workers according to input operation of the user;
the regional processing center is used for calculating a care quality score of the care workers according to the physiological parameter data of the user and the care feedback score of the care workers and outputting the care quality score.
7. The care quality management system of claim 6, further comprising:
and the data center is used for receiving and storing the nursing quality scores output by the area processing center and updating the existing nursing quality scores in the database center.
8. The care quality management system of claim 7, wherein the data center comprises:
a user health database for storing and updating user health index and nursing history;
a nursing worker database for storing and updating nursing quality score data and user feedback score records of nursing workers and information of working records of the nursing workers;
and the nursing institution database is used for storing and updating the bed historical record, the nursing worker login record, the current score and the historical score record of the nursing worker.
9. The care quality management system according to claim 6,
the region processing center is specifically configured to calculate a deviation value of the physiological parameter data from a first threshold range, where the deviation value is greater than or equal to 0;
and calculating the care quality score of the care worker according to the care feedback score of the user to the care worker and the deviation value.
10. The care quality management system according to claim 9,
the region processing center is specifically used for carrying out data conversion normalization processing on the deviation value to obtain a health index;
and judging whether the decline value of the health index is larger than a second threshold value, if so, calculating the nursing quality score of the nursing worker according to the difference value of the nursing feedback score of the user to the nursing worker and the decline value of the health index, otherwise, the nursing quality score of the nursing worker is equal to the nursing feedback score of the user to the nursing worker.
11. The care quality management system of claim 6, wherein the regional processing center is further configured to:
carrying out weighted summation or weighted average on the past care quality score and the current care quality score of the same care worker to obtain a comprehensive care quality score of the care worker;
and outputting the nursing quality comprehensive score.
12. The care quality management system of claim 11, wherein the regional processing center is further configured to perform a weighted summation or weighted average of the care quality composite scores of all care workers of the same user to obtain the care quality score of the care institution.
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