CN118053560B - Intelligent evaluation system for nursing staff based on work order service - Google Patents
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Abstract
The invention relates to the technical field of artificial intelligence, in particular to a nursing staff intelligent evaluation system based on work order service, which is characterized in that an information acquisition module, a service attendance grade evaluation module, a qualified work order screening module, a return visit satisfaction grade evaluation module, a work order service evaluation module and a cloud database are arranged, and corresponding reference values of all index grades are uniformly set by evaluating service attendance grades, service quality grades, service output value grades and return visit satisfaction grades in all target nursing staff historical setting time periods, so that the service evaluation coefficients of the work orders in all target nursing staff historical setting time periods are comprehensively analyzed, the dimensionality of the service capacity evaluation of nursing staff is enriched, the accuracy, the practicability and the comprehensiveness of the service capacity evaluation of the nursing staff are effectively improved, more objective and fair evaluation basis can be provided for nursing institutions, and the improvement of the service quality and the personal professional development of nursing are promoted.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a nursing staff intelligent evaluation system based on work order service.
Background
With the increasing demand for medical services and the increasing trend of aging population, the role of caregivers in the field of medical care has become more important, and it is mainly responsible for providing basic care, rehabilitation care, life care and other services for patients, and has a direct influence on the physical health of patients. Therefore, it is important to evaluate the worksheet service performance capabilities of caregivers.
The existing nursing staff single service evaluation system avoids the defects of low efficiency and strong subjective factors of the traditional manual evaluation and paper recording modes, introduces advanced electronic health intelligent recording and machine learning algorithms, ensures the accuracy and fairness of the nursing staff single service evaluation, has certain limitations, and is specifically expressed as follows: 1. the prior art evaluates the work order service capability of a nursing staff depending on the nursing quality of the nursing staff and the return visit satisfaction of patients, ignores effective consideration of the service output value and attendance condition of the nursing staff, leads to limitation and unilateral evaluation of the single service capability of the nursing staff, and cannot not only know the actual value provided by the nursing staff in work, but also objectively consider the reliability and continuity of the work order service of the nursing staff.
2. The prior art focuses on the nursing operation standard degree of a nursing staff to evaluate the nursing quality of a work order, ignores the nursing curative effect factors corresponding to the vital sign health change of a patient, and cannot accurately reflect the actual nursing effect, so that the nursing staff can neglect the careful attention to the patient in practice and timely adjust the importance of a nursing scheme, and the whole nursing quality of the nursing staff is difficult to improve.
3. The prior art mainly relies on the return visit satisfaction condition of the patient care return visit list content analysis nursing staff, but lacks of examination management of the patient care return visit list content, if the return visit list is incompletely filled, inaccurately filled or not filled timely, the accuracy and reliability of subsequent care return visit satisfaction analysis can be affected, and even misleading decisions can be made by a nursing institution.
Disclosure of Invention
In order to overcome the defects in the background technology, the embodiment of the invention provides a nursing staff intelligent evaluation system based on work order service, which can effectively solve the problems related to the background technology.
The aim of the invention can be achieved by the following technical scheme: a care giver intelligent assessment system based on a work order service, comprising: and the information acquisition module is used for marking each nursing staff in the target mechanism as each target nursing staff and acquiring nursing record information and a nursing return visit list of each execution work order in a history setting time period of each target nursing staff.
And the service attendance grade evaluation module is used for evaluating the service attendance grade in each target nursing staff history setting time period according to the nursing record information of each execution work order in each target nursing staff history setting time period.
And the qualified work order screening module is used for screening out each qualified work order in each target caregiver history setting time period according to the nursing record information of each execution work order in each target caregiver history setting time period, and further evaluating the service quality grade and the service output value grade in each target caregiver history setting time period.
And the return visit satisfaction rating module is used for rating the return visit satisfaction rating of each target nursing staff in the history setting time period according to the nursing return visit list of each execution work order in the history setting time period of each target nursing staff.
The work order service evaluation module is used for comprehensively analyzing the work order service evaluation coefficients in the historical setting time period of each target nursing staff, generating the service capacity sequence of the nursing staff in the historical setting time period of the target mechanism according to the order of the work order service evaluation coefficients from large to small, and feeding back the service capacity sequence.
The cloud database is used for storing a nursing satisfaction range corresponding to each return visit satisfaction level of a nursing staff, a quality qualification rate range corresponding to each service quality level, a normal accumulated distribution value range corresponding to each service output value level, a normal accumulated distribution value range corresponding to each service attendance level, storing the limiting occurrence times of patient safety events, the reasonable deviation duration of single execution of medical advice and the reasonable response duration of single call of the patient, which are specified by the operation of the working order of the nursing staff, storing the service price corresponding to the unit nursing duration of the nursing staff of a target mechanism, and storing the effective feedback period of the return visit of the patient.
Preferably, the nursing record information comprises the name and number of the patient, the nursing working days, the accumulated nursing time length, the occurrence times of patient safety events, the maximum deviation time length of single execution of medical advice in each nursing working day, the maximum response time length of single call of the patient and the health coefficient of vital signs of the patient.
Preferably, the evaluating the service attendance level within the history setting period of each target caregiver includes: acquiring total days corresponding to historical setting time periodNursing work days/>, in the nursing record information of each execution work order in combination with each target nursing staff history setting time periodWherein/>Numbering for each target caregiver,/>，/>For each execution worksheet numbering,/>Calculating the attendance/>, within each target caregiver history set time period，。
The attendance distribution within the set time period of the set carer history follows the normal distribution and is represented by the formulaObtaining a normal cumulative distribution value of attendance within a historical setting time period of each target nursing staff, wherein/>Representing a standard normal distribution function,/>For the number of target caregivers.
And evaluating the service attendance grades in the historical setting time period of each target nursing staff according to the corresponding attendance normal accumulated distribution value range of each service attendance grade of the nursing staff stored in the cloud database.
Preferably, the screening each qualified work order within each target caregiver history setting time period includes: extracting patient vital sign health coefficients in each nursing working day in nursing record information of each execution work sheet in each target nursing staff history setting time period, drawing patient vital sign monitoring curves of each execution work sheet in each target nursing staff history setting time period in Matlab software by taking time as a horizontal axis and patient vital sign health coefficients as a vertical axis, acquiring slope values of the patient vital sign monitoring curves, taking the slope values as basic curative effect evaluation indexes, and obtaining basic curative effect evaluation indexes of each execution work sheet in each target nursing staff history setting time period。
Extracting the occurrence times of patient safety events in the nursing record information of each execution work order in each target nursing staff historical setting time periodMaximum deviation duration/>, of single execution of orders within each nursing working dayAnd maximum response duration of patient single call/>Wherein/>Numbering for each nursing day,/>Analyzing basic operation specification index/>, of each execution work order in each target caregiver history setting time periodThe calculation formula is as follows: Wherein/> Patient safety event limiting occurrence times, medical order single execution reasonable deviation duration and patient single call reasonable response duration respectively specified by nursing staff execution work order operation stored in cloud databaseFor nursing work days,/>Is a natural constant.
From the formulaAnd (3) obtaining the nursing quality evaluation coefficients of each execution work order in each target nursing staff historical setting time period, marking the execution work orders which are larger than or equal to the preset reasonable nursing quality evaluation coefficient threshold value as qualified work orders, and further screening and obtaining each qualified work order in each target nursing staff historical setting time period.
Preferably, the evaluating the quality of service level in each target caregiver history setting period includes: and counting the number of qualified work orders and the number of execution work orders in each target caregiver history setting time period, taking the ratio of the number of qualified work orders and the number of execution work orders as the quality qualification rate in each target caregiver history setting time period, and evaluating the service quality grade in each target caregiver history setting time period according to the corresponding quality qualification rate range of each service quality grade of the caregivers stored in the cloud database.
Preferably, the evaluating the service yield value level within each target caregiver history setting period includes: extracting accumulated nursing duration from nursing record information of qualified work orders in historical setting time periods of target caregiversWhereinFor each qualified work order number,/>Service price/>, corresponding to unit nursing duration of target institution caregivers, stored in combination with cloud databaseBy the formula/>Obtaining the output value in each target carer history setting time period, setting the output value distribution in the carer history setting time period to follow the normal distribution, obtaining the normal accumulated distribution value of the output value in each target carer history setting time period in accordance with the calculation method of the attendance normal accumulated distribution value in each target carer history setting time period, and evaluating the service output value level in each target carer history setting time period according to the normal accumulated distribution value range of the output value corresponding to each service output value level of the carer stored in the cloud database.
Preferably, the evaluating the return visit satisfaction level within the history setting period of each target caregiver includes: F1. and scanning the nursing return visit list of each execution work order in the historical setting time period of each target nursing staff by using a scanner, uploading the scanned digital image to OCR software of a computer, performing optical character recognition and extraction on each content frame in the nursing return visit list, if a blank content frame exists in the nursing return visit list of a certain execution work order, indicating that the nursing return visit list of the execution work order is not completely filled, removing each execution work order with incomplete filling of the nursing return visit list in the historical setting time period of each target nursing staff, and marking the rest execution work orders as each level work order.
F2. And acquiring filling names and filling numbers of patients in patient basic information fields of nursing return visit tables of all primary work orders in each target nursing staff history setting time period, respectively comparing the filling names and filling numbers with the names and numbers of the patients in nursing record information of all primary work orders in each target nursing staff history setting time period, if the filling names or filling numbers of the patients in the patient basic information fields of the nursing return visit tables of one primary work order are wrong, indicating that the nursing return visit tables of the primary work orders are not accurately filled, removing all primary work orders with inaccurate filling of the nursing return visit tables in each target nursing staff history setting time period, and marking the rest primary work orders as all secondary work orders.
F3. And respectively acquiring the patient nursing termination date in the patient basic information column of the nursing return visit list of each secondary work order in each target nursing staff history setting time period and the patient return visit list filling date in the patient signature column, judging whether the nursing return visit list of each secondary work order is filled with time effect or not in each target nursing staff history setting time period, further eliminating each secondary work order without time effect in the nursing return visit list filling in each target nursing staff history setting time period, and marking the remaining secondary work orders as each effective return visit work order.
F4. obtaining the corresponding option scores of various nursing operation evaluations in the nursing service evaluation column of the nursing return visit list of each effective return visit work list in each target nursing member history setting time periodWherein/>For the numbering of each effective return visit work order,，/>Number for evaluation of various nursing operations,/>And analyzing the satisfaction rate of patients of each effective revisit work order in each target nursing staff history setting time period.
F5. And marking each effective return visit work order with the patient satisfaction rate larger than or equal to the preset reasonable patient satisfaction rate in each target caregiver history setting time period as each satisfaction work order in each target caregiver history setting time period, taking the ratio of the number of the satisfaction work orders to the number of the effective return visit work orders as nursing satisfaction, further obtaining the nursing satisfaction in each target caregiver history setting time period, and evaluating the return visit satisfaction level in each target caregiver history setting time period according to the corresponding nursing satisfaction range of each return visit satisfaction level of the caregivers stored in the cloud database.
Preferably, the calculation formula of the patient satisfaction rate of each effective return visit work order in each target nursing staff history setting time period is as follows: Wherein/> Evaluating category number for care operations,/>And evaluating the corresponding full score for the preset single-class nursing operation.
Preferably, the analyzing the work order service evaluation coefficient in each target caregiver history setting period includes: the corresponding reference values of all index levels are set uniformly, so that the corresponding reference values of the service attendance level, the service quality level, the service output value level and the return visit satisfaction level in the historical setting time period of all target caregivers are obtained, and are respectively recorded asBy the formula/>And obtaining the work order service evaluation coefficient in the historical setting time period of each target nursing staff.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the invention, the normal cumulative distribution value of attendance in the historical setting time period of each target nursing staff is calculated and used as the grading index of the service attendance grade of the nursing staff, so that the service attendance grade in the historical setting time period of each target nursing staff is evaluated, the dimension of the single service capability assessment of the nursing staff is enriched, and the accuracy and the practicability of the single service capability assessment of the nursing staff are effectively improved.
(2) According to the invention, through combining the basic curative effect evaluation index and the basic operation standard index, the nursing quality evaluation coefficients of the execution worksheets in the historical setting time periods of all target carers are comprehensively analyzed, all qualified worksheets in the historical setting time periods of all target carers are screened out, the limitation of the nursing quality evaluation angle of the existing carers is perfected, and scientific basis and data support are provided for evaluation of the service quality grade and the service output value grade in the subsequent historical setting time periods of all target carers.
(3) The invention analyzes the normal accumulated distribution value of the output value in each target carer history setting time period based on each qualified work order in each target carer history setting time period, thereby evaluating the service output value grade in each target carer history setting time period, accurately and efficiently knowing the actual value provided by carers in work, providing brand-new visual angle and tool for nursing institutions, and being beneficial to realizing more efficient and better nursing service.
(4) According to the invention, the nursing return visit list of each execution work order in each target nursing staff history setting time period is subjected to layer-by-layer screening management from three angles of filling integrity, filling accuracy and filling timeliness, so that the accuracy and reliability of analysis data of the patient satisfaction rate of each effective return visit work order in each target nursing staff history setting time period are ensured, thereby evaluating the return visit satisfaction level with higher credibility in each target nursing staff history setting time period, and providing a powerful basis for nursing management decision.
(5) According to the invention, the service attendance grade, the service quality grade, the service output value grade and the return visit satisfaction grade in each target nursing member historical setting time period are evaluated, the corresponding reference value of each index grade is uniformly set, and further the work order service evaluation coefficient in each target nursing member historical setting time period is comprehensively analyzed, so that the comprehensive evaluation of the working performance of the nursing member is realized, more objective and fair evaluation basis can be provided for nursing institutions, and the improvement of the nursing service quality and the personal professional development are promoted.
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The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a schematic diagram of the module connection of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a system for intelligent evaluation of caregivers based on work order service, comprising: the system comprises an information acquisition module, a service attendance grade evaluation module, a qualified work order screening module, a return visit satisfaction grade evaluation module, a work order service evaluation module and a cloud database.
The information acquisition module is respectively connected with the service attendance grade evaluation module, the qualified work order screening module and the return visit satisfaction grade evaluation module, the service attendance grade evaluation module, the qualified work order screening module and the return visit satisfaction grade evaluation module are all connected with the work order service evaluation module, and the cloud database is respectively connected with the service attendance grade evaluation module, the qualified work order screening module and the return visit satisfaction grade evaluation module.
The information acquisition module is used for marking each nursing staff in the target mechanism as each target nursing staff and acquiring nursing record information and nursing return visit list of each execution work order in the history setting time period of each target nursing staff.
Specifically, the nursing record information includes the name and number of the patient, the nursing working days, the accumulated nursing time length, the occurrence times of patient safety events, the maximum deviation time length of single execution of medical advice in each nursing working day, the maximum response time length of single call of the patient and the health coefficient of vital signs of the patient.
It should be noted that, the nursing record information and the nursing return visit list of each execution work order in the historical setting time period of each target nursing staff can be extracted from the storage unit of the electronic health record system of the target institution.
It should be noted that the vital sign health coefficient of the patient is obtained by analysis of the data analysis unit of the electronic health record system, and is mainly obtained by monitoring the blood pressure value of the patient at each set monitoring time point in each nursing working day of each execution work sheet in each target nursing staff historical setting time periodBlood glucose value/>Body temperature value/>Respiratory rate value/>And blood oxygen saturation/>Calculated, wherein/>Numbering for each target caregiver,/>，/>For each execution worksheet numbering,/>，/>Numbering for each nursing day,/>，/>For each set number of monitoring time points,/>Analyzing health coefficients/>, of vital signs of patients in each nursing working day, of each execution work order in each target nursing staff history setting time periodThe calculation formula is as follows: Wherein Respectively the preset normal reference values of blood pressure, blood sugar, body temperature, respiratory frequency and blood oxygen saturation of human body,/>Reasonable deviation values of preset blood pressure, blood sugar, body temperature, respiratory frequency and blood oxygen saturation of human body,/>, respectivelyTo set the number of monitoring time points.
It should be further noted that, the above-mentioned preset normal reference values of the blood pressure, blood sugar, body temperature, respiratory rate and blood oxygen saturation of the human body may be extracted from the relevant medical literature, the normal ranges of the upper limit value and the lower limit value of the blood pressure, blood sugar, body temperature, respiratory rate and blood oxygen saturation of the human body may be obtained, the calculated average value of the upper limit value and the lower limit value may be used as the normal reference value, and the absolute difference value between the calculated average value and the upper limit value may be used as the reasonable deviation value.
The service attendance grade assessment module is used for assessing the service attendance grade in each target nursing staff history setting time period according to the nursing record information of each execution work order in each target nursing staff history setting time period.
Specifically, the evaluating the service attendance level within the history setting period of each target caregiver includes: acquiring total days corresponding to historical setting time periodNursing work days/>, in the nursing record information of each execution work order in combination with each target nursing staff history setting time periodCalculating the attendance/>, within each target caregiver history set time period，/>。
The attendance distribution within the set time period of the set carer history follows the normal distribution and is represented by the formulaObtaining a normal cumulative distribution value of attendance within a historical setting time period of each target nursing staff, wherein/>Representing a standard normal distribution function,/>For the number of target caregivers.
And evaluating the service attendance grades in the historical setting time period of each target nursing staff according to the corresponding attendance normal accumulated distribution value range of each service attendance grade of the nursing staff stored in the cloud database.
The attendance levels of the caregivers includeThe corresponding normal cumulative distribution value range of attendance is specifically/>、/>、/>、、/>Wherein/>,/>The representation belongs to a symbol.
According to the embodiment of the invention, the normal cumulative distribution value of attendance in the historical setting time period of each target nursing staff is calculated and used as the grading index of the service attendance grade of the nursing staff, so that the service attendance grade in the historical setting time period of each target nursing staff is evaluated, the dimension of single service capability assessment of the nursing staff is enriched, and the accuracy and the practicability of single service capability assessment of the nursing staff are effectively improved.
And the qualified work order screening module is used for screening out each qualified work order in each target carer history setting time period according to the nursing record information of each execution work order in each target carer history setting time period, and further evaluating the service quality grade and the service output value grade in each target carer history setting time period.
Specifically, the screening each qualified work order within each target caregiver history setting time period includes: extracting patient vital sign health coefficients in each nursing working day in nursing record information of each execution work sheet in each target nursing staff history setting time period, drawing patient vital sign monitoring curves of each execution work sheet in each target nursing staff history setting time period in Matlab software by taking time as a horizontal axis and patient vital sign health coefficients as a vertical axis, acquiring slope values of the patient vital sign monitoring curves, taking the slope values as basic curative effect evaluation indexes, and obtaining basic curative effect evaluation indexes of each execution work sheet in each target nursing staff history setting time period。
It should be noted that, the slope value of the patient vital sign monitoring curve is realized by using diff functions in Matlab software and a signal processing tool box, and the coordinates of the start point and the stop point of the curve are substituted into the calculation.
Extracting the occurrence times of patient safety events in the nursing record information of each execution work order in each target nursing staff historical setting time periodMaximum deviation duration/>, of single execution of orders within each nursing working dayAnd maximum response duration of patient single call/>Analyzing basic operation specification index/>, of each execution work order in each target caregiver history setting time periodThe calculation formula is as follows: /(I)Wherein/>Patient safety event limiting occurrence times, medical order single execution reasonable deviation duration and patient single call reasonable response duration respectively specified by nursing staff execution work order operation stored in cloud databaseFor nursing work days,/>Is a natural constant.
From the formulaAnd (3) obtaining the nursing quality evaluation coefficients of each execution work order in each target nursing staff historical setting time period, marking the execution work orders which are larger than or equal to the preset reasonable nursing quality evaluation coefficient threshold value as qualified work orders, and further screening and obtaining each qualified work order in each target nursing staff historical setting time period.
According to the embodiment of the invention, through combining the basic curative effect evaluation index and the basic operation standard index, the nursing quality evaluation coefficients of the execution worksheets in the historical setting time periods of all target caregivers are comprehensively analyzed, all qualified worksheets in the historical setting time periods of all target caregivers are screened out, the limitation of the nursing quality evaluation angle of the existing caregivers is perfected, and scientific basis and data support are provided for evaluation of the service quality grade and the service output value grade in the subsequent historical setting time periods of all target caregivers.
Specifically, the evaluating the quality of service level within each target caregiver history setting period includes: and counting the number of qualified work orders and the number of execution work orders in each target caregiver history setting time period, taking the ratio of the number of qualified work orders and the number of execution work orders as the quality qualification rate in each target caregiver history setting time period, and evaluating the service quality grade in each target caregiver history setting time period according to the corresponding quality qualification rate range of each service quality grade of the caregivers stored in the cloud database.
It should be noted that each service quality level of the caregivers includesThe corresponding quality qualification rate range is specifically/>、/>、/>、/>、/>Wherein/>。
Specifically, the evaluating the service yield value level within each target caregiver history setting period includes: extracting accumulated nursing duration from nursing record information of qualified work orders in historical setting time periods of target caregiversWhereinFor each qualified work order number,/>Service price/>, corresponding to unit nursing duration of target institution caregivers, stored in combination with cloud databaseBy the formula/>Obtaining the output value in each target carer history setting time period, setting the output value distribution in the carer history setting time period to follow the normal distribution, obtaining the normal accumulated distribution value of the output value in each target carer history setting time period in accordance with the calculation method of the attendance normal accumulated distribution value in each target carer history setting time period, and evaluating the service output value level in each target carer history setting time period according to the normal accumulated distribution value range of the output value corresponding to each service output value level of the carer stored in the cloud database.
The above-mentioned attendant's service output levels includeThe range of the normal cumulative distribution value of the corresponding output value is specifically/>、/>、、/>、/>Wherein。
The embodiment of the invention analyzes the normal accumulated distribution value of the output value in each target carer history setting time period based on each qualified work order in each target carer history setting time period, thereby evaluating the service output value grade in each target carer history setting time period, accurately and efficiently knowing the actual value provided by carers in work, providing brand-new visual angles and tools for nursing institutions, and being beneficial to realizing more efficient and better nursing service.
And the return visit satisfaction grade evaluation module is used for evaluating the return visit satisfaction grade of each target nursing staff in the historical setting time period according to the nursing return visit list of each execution work order in the historical setting time period of each target nursing staff.
Specifically, the evaluating the return visit satisfaction level within the history setting time period of each target caregiver includes: F1. and scanning the nursing return visit list of each execution work order in the historical setting time period of each target nursing staff by using a scanner, uploading the scanned digital image to OCR software of a computer, performing optical character recognition and extraction on each content frame in the nursing return visit list, if a blank content frame exists in the nursing return visit list of a certain execution work order, indicating that the nursing return visit list of the execution work order is not completely filled, removing each execution work order with incomplete filling of the nursing return visit list in the historical setting time period of each target nursing staff, and marking the rest execution work orders as each level work order.
F2. And acquiring filling names and filling numbers of patients in patient basic information fields of nursing return visit tables of all primary work orders in each target nursing staff history setting time period, respectively comparing the filling names and filling numbers with the names and numbers of the patients in nursing record information of all primary work orders in each target nursing staff history setting time period, if the filling names or filling numbers of the patients in the patient basic information fields of the nursing return visit tables of one primary work order are wrong, indicating that the nursing return visit tables of the primary work orders are not accurately filled, removing all primary work orders with inaccurate filling of the nursing return visit tables in each target nursing staff history setting time period, and marking the rest primary work orders as all secondary work orders.
F3. And respectively acquiring the patient nursing termination date in the patient basic information column of the nursing return visit list of each secondary work order in each target nursing staff history setting time period and the patient return visit list filling date in the patient signature column, judging whether the nursing return visit list of each secondary work order is filled with time effect or not in each target nursing staff history setting time period, further eliminating each secondary work order without time effect in the nursing return visit list filling in each target nursing staff history setting time period, and marking the remaining secondary work orders as each effective return visit work order.
The specific judging method for whether the nursing return visit list of each secondary work order is filled in or not in the history setting time period of each target nursing staff is as follows: taking the absolute difference between the patient nursing end date in the patient basic information column of the nursing return visit list of each secondary work order in each target nursing staff history setting time period and the patient return visit list filling date in the patient signature column as the patient return visit period of each secondary work order in each target nursing staff history setting time period, if the patient return visit period of a certain secondary work order is larger than the effective patient return visit feedback period stored in the cloud database, the nursing return visit list filling of the secondary work order is not aged, otherwise, the nursing return visit list filling of the secondary work order is aged, and further the judging result of whether the nursing return visit list of each secondary work order is aged or not in each target nursing staff history setting time period is obtained.
F4. obtaining the corresponding option scores of various nursing operation evaluations in the nursing service evaluation column of the nursing return visit list of each effective return visit work list in each target nursing member history setting time periodWherein/>For the numbering of each effective return visit work order,，/>Number for evaluation of various nursing operations,/>And analyzing the satisfaction rate of patients of each effective revisit work order in each target nursing staff history setting time period.
F5. And marking each effective return visit work order with the patient satisfaction rate larger than or equal to the preset reasonable patient satisfaction rate in each target caregiver history setting time period as each satisfaction work order in each target caregiver history setting time period, taking the ratio of the number of the satisfaction work orders to the number of the effective return visit work orders as nursing satisfaction, further obtaining the nursing satisfaction in each target caregiver history setting time period, and evaluating the return visit satisfaction level in each target caregiver history setting time period according to the corresponding nursing satisfaction range of each return visit satisfaction level of the caregivers stored in the cloud database.
The above-mentioned respective return visit satisfaction levels of the caregivers includeThe corresponding care satisfaction range is specifically/>、/>、/>、、/>Wherein/>。
Specifically, the calculation formula of the patient satisfaction rate of each effective revisit worksheet in each target caregiver history setting time period is as follows: Wherein/> Evaluating category number for care operations,/>And evaluating the corresponding full score for the preset single-class nursing operation.
According to the embodiment of the invention, the nursing return visit list of each execution work order in each target nursing staff historical setting time period is subjected to layer-by-layer screening management from three angles of filling integrity, filling accuracy and filling timeliness, so that the accuracy and reliability of analysis data of the patient satisfaction rate of each effective return visit work order in each target nursing staff historical setting time period are ensured, the return visit satisfaction level with higher credibility in each target nursing staff historical setting time period is evaluated, and a powerful basis is provided for nursing management decision.
The work order service evaluation module is used for comprehensively analyzing the work order service evaluation coefficients in the historical setting time period of each target nursing staff, generating the service capacity sequence of the nursing staff in the historical setting time period of the target mechanism according to the order of the work order service evaluation coefficients from large to small, and feeding back the service capacity sequence.
Specifically, the analyzing the work order service evaluation coefficient within the historical setting time period of each target nursing staff includes: the corresponding reference values of all index levels are set uniformly, so that the corresponding reference values of the service attendance level, the service quality level, the service output value level and the return visit satisfaction level in the historical setting time period of all target caregivers are obtained, and are respectively recorded asBy the formula/>And obtaining the work order service evaluation coefficient in the historical setting time period of each target nursing staff.
The unified setting of the index levels to the reference values means that the index levels are 5 levels, and the corresponding reference values are sequentially given to the index levels by the values 5, 4, 3, 2, and 1 in order of the level.
Illustratively, if the service attendance level, the service quality level, the service yield level and the return visit satisfaction level are respectively within a certain target caregiver history setting period of timeThe service attendance level, the service quality level, the service output value level and the return visit satisfaction level in the target nursing staff history setting time period correspond to reference values of 5, 4, 2 and 1.
The cloud database is used for storing a nursing satisfaction range corresponding to each return visit satisfaction level of a nursing staff, a quality qualification rate range corresponding to each service quality level, a normal accumulated distribution value range corresponding to each service output value level, a normal accumulated distribution value range corresponding to each service attendance level, storing patient security event limiting occurrence times, medical advice single execution reasonable deviation duration and patient single call reasonable response duration specified by the operation of a work order of the nursing staff, storing service prices corresponding to the unit nursing duration of a nursing staff of a target mechanism, and storing effective feedback periods of patient return visits.
According to the embodiment of the invention, the service attendance grade, the service quality grade, the service output value grade and the return visit satisfaction grade in each target nursing member historical setting time period are evaluated, the corresponding reference values of each index grade are uniformly set, and further the work order service evaluation coefficient in each target nursing member historical setting time period is comprehensively analyzed, so that the comprehensive evaluation of the working performance of the nursing member is realized, more objective and fair evaluation basis can be provided for nursing institutions, and the improvement of the nursing service quality and the personal professional development are promoted.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art of describing particular embodiments without departing from the structures of the invention or exceeding the scope of the invention as defined by the claims.
Claims (7)
1. A nursing staff intelligent evaluation system based on work order service is characterized in that: the system comprises:
The information acquisition module is used for marking each nursing staff in the target mechanism as each target nursing staff and acquiring nursing record information and a nursing return visit list of each execution work order in a history setting time period of each target nursing staff;
the service attendance grade assessment module is used for assessing the service attendance grade in each target nursing staff history setting time period according to the nursing record information of each execution work order in each target nursing staff history setting time period;
The qualified work order screening module is used for screening out each qualified work order in each target caregiver history setting time period according to the nursing record information of each execution work order in each target caregiver history setting time period, and further evaluating the service quality grade and the service output value grade in each target caregiver history setting time period;
the return visit satisfaction rating module is used for rating the return visit satisfaction rating of each target nursing staff in the history setting time period according to the nursing return visit list of each execution work order in the history setting time period of each target nursing staff;
The work order service evaluation module is used for comprehensively analyzing the work order service evaluation coefficients in the historical setting time period of each target nursing staff, generating a service capacity sequence of the nursing staff in the historical setting time period of the target mechanism according to the order of the work order service evaluation coefficients from large to small, and feeding back the service capacity sequence;
the cloud database is used for storing a nursing satisfaction range corresponding to each return visit satisfaction level of a nursing staff, a quality qualification rate range corresponding to each service quality level, a normal accumulated distribution value range corresponding to each service output value level, a normal accumulated distribution value range corresponding to each service attendance level, storing the limiting occurrence times of patient safety events, the single-time execution reasonable deviation duration of medical advice and the single-time calling reasonable response duration of patients, which are specified by the operation of the working order of the nursing staff, storing the service price corresponding to the unit nursing duration of the nursing staff of a target mechanism, and storing the effective feedback period of the return visit of the patients;
screening out each qualified work order in each target nursing staff history setting time period, including: extracting patient vital sign health coefficients in each nursing working day in nursing record information of each execution work sheet in each target nursing staff history setting time period, drawing patient vital sign monitoring curves of each execution work sheet in each target nursing staff history setting time period in Matlab software by taking time as a horizontal axis and patient vital sign health coefficients as a vertical axis, acquiring slope values of the patient vital sign monitoring curves, taking the slope values as basic curative effect evaluation indexes, and obtaining basic curative effect evaluation indexes of each execution work sheet in each target nursing staff history setting time period ；
Extracting the occurrence times of patient safety events in the nursing record information of each execution work order in each target nursing staff historical setting time periodMaximum deviation duration/>, of single execution of orders within each nursing working dayAnd maximum response duration of patient single call/>Wherein/>Numbering for each nursing day,/>Analyzing basic operation specification index/>, of each execution work order in each target caregiver history setting time periodThe calculation formula is as follows: Wherein/> Patient safety event limiting occurrence times, medical order single execution reasonable deviation duration and patient single call reasonable response duration respectively specified by nursing staff execution work order operation stored in cloud databaseFor nursing work days,/>Is a natural constant;
From the formula Obtaining nursing quality evaluation coefficients of each execution work order in each target nursing staff historical setting time period, marking the execution work orders which are larger than or equal to a preset reasonable nursing quality evaluation coefficient threshold value as qualified work orders, and further screening to obtain each qualified work order in each target nursing staff historical setting time period;
The evaluation of the return visit satisfaction level in each target caregiver history setting time period comprises: F1. scanning a nursing return visit table of each execution work order in a historical setting time period of each target nursing staff by using a scanner, uploading the scanned digital image to OCR software of a computer, performing optical character recognition and extraction on each content frame in the nursing return visit table, if a blank content frame exists in the nursing return visit table of a certain execution work order, indicating that the nursing return visit table of the execution work order is not complete, removing each execution work order with incomplete filling of the nursing return visit table in the historical setting time period of each target nursing staff, and marking the rest execution work orders as each level work order;
F2. Acquiring filling names and filling numbers of patients in patient basic information fields of nursing return visit tables of first-level work orders in each target nursing staff history setting time period, respectively comparing the filling names and filling numbers with names and numbers of patients in nursing record information of each first-level work order in each target nursing staff history setting time period, if the filling names or filling numbers of patients in the patient basic information fields of the nursing return visit tables of a certain first-level work order are wrong, indicating that the nursing return visit tables of the first-level work orders are not accurately filled, removing each first-level work order with the inaccurate filling of the nursing return visit tables in each target nursing staff history setting time period, and marking the rest first-level work orders as second-level work orders;
F3. The method comprises the steps of respectively obtaining a patient nursing termination date in a patient basic information column of a nursing return visit table of each secondary work order in each target nursing staff history setting time period and a patient return visit table filling date in a patient signature column, judging whether the nursing return visit table of each secondary work order is filled with time effect or not in each target nursing staff history setting time period, further eliminating each secondary work order without time effect in the nursing return visit table filling in each target nursing staff history setting time period, and marking the remaining secondary work orders as each effective return visit work order;
F4. obtaining the corresponding option scores of various nursing operation evaluations in the nursing service evaluation column of the nursing return visit list of each effective return visit work list in each target nursing member history setting time period Wherein/>For the numbering of each effective return visit work order,，/>Number for evaluation of various nursing operations,/>Analyzing the satisfaction rate of patients of each effective return visit work order in each target nursing staff history setting time period;
F5. And marking each effective return visit work order with the patient satisfaction rate larger than or equal to the preset reasonable patient satisfaction rate in each target caregiver history setting time period as each satisfaction work order in each target caregiver history setting time period, taking the ratio of the number of the satisfaction work orders to the number of the effective return visit work orders as nursing satisfaction, further obtaining the nursing satisfaction in each target caregiver history setting time period, and evaluating the return visit satisfaction level in each target caregiver history setting time period according to the corresponding nursing satisfaction range of each return visit satisfaction level of the caregivers stored in the cloud database.
2. The intelligent evaluation system for caregivers based on work order service according to claim 1, wherein: the nursing record information comprises names and numbers of patients, nursing working days, accumulated nursing time, occurrence times of patient safety events, maximum deviation time of single execution of medical advice in each nursing working day, maximum response time of single call of the patients and health coefficients of vital signs of the patients.
3. The intelligent evaluation system for caregivers based on work order service according to claim 2, wherein: the evaluation of the service attendance level within the history setting time period of each target nursing staff includes: acquiring total days corresponding to historical setting time periodNursing work days/>, in the nursing record information of each execution work order in combination with each target nursing staff history setting time periodWherein/>Numbering for each target caregiver,/>，/>For the numbering of each execution work order,Calculating the attendance/>, within each target caregiver history set time period，/>；
The attendance distribution within the set time period of the set carer history follows the normal distribution and is represented by the formulaObtaining a normal cumulative distribution value of attendance within a historical setting time period of each target nursing staff, wherein/>Representing a standard normal distribution function,/>A target caregiver number;
And evaluating the service attendance grades in the historical setting time period of each target nursing staff according to the corresponding attendance normal accumulated distribution value range of each service attendance grade of the nursing staff stored in the cloud database.
4. The intelligent evaluation system for caregivers based on work order service according to claim 1, wherein: the evaluating the quality of service level over the historical set time period of each target caregiver includes: and counting the number of qualified work orders and the number of execution work orders in each target caregiver history setting time period, taking the ratio of the number of qualified work orders and the number of execution work orders as the quality qualification rate in each target caregiver history setting time period, and evaluating the service quality grade in each target caregiver history setting time period according to the corresponding quality qualification rate range of each service quality grade of the caregivers stored in the cloud database.
5. The intelligent evaluation system for caregivers based on work order service according to claim 4, wherein: the evaluation of the service output value level in each target caregiver history setting time period includes: extracting accumulated nursing duration from nursing record information of qualified work orders in historical setting time periods of target caregiversWherein/>For each qualified work order number,/>Service price/>, corresponding to unit nursing duration of target institution caregivers, stored in combination with cloud databaseBy the formula/>Obtaining the output value in each target carer history setting time period, setting the output value distribution in the carer history setting time period to follow the normal distribution, obtaining the normal accumulated distribution value of the output value in each target carer history setting time period in accordance with the calculation method of the attendance normal accumulated distribution value in each target carer history setting time period, and evaluating the service output value level in each target carer history setting time period according to the normal accumulated distribution value range of the output value corresponding to each service output value level of the carer stored in the cloud database.
6. The intelligent evaluation system for caregivers based on work order service according to claim 1, wherein: the calculation formula of the patient satisfaction rate of each effective return visit work order in each target nursing staff history setting time period is as follows: Wherein/> Evaluating category number for care operations,/>And evaluating the corresponding full score for the preset single-class nursing operation.
7. The intelligent evaluation system for caregivers based on work order service according to claim 1, wherein: the analyzing the work order service evaluation coefficient in each target nursing staff history setting time period comprises the following steps: the corresponding reference values of all index levels are set uniformly, so that the corresponding reference values of the service attendance level, the service quality level, the service output value level and the return visit satisfaction level in the historical setting time period of all target caregivers are obtained, and are respectively recorded asFrom the formulaAnd obtaining the work order service evaluation coefficient in the historical setting time period of each target nursing staff.
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| CN117059245A (en) * | 2023-08-21 | 2023-11-14 | 上海集迈医疗科技有限公司 | Intelligent management system for critical clinical patient information |
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| CN117059245A (en) * | 2023-08-21 | 2023-11-14 | 上海集迈医疗科技有限公司 | Intelligent management system for critical clinical patient information |
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