CN117542498B - Gynecological nursing management system and method based on big data analysis - Google Patents
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Abstract
The invention discloses a gynecological nursing management system and method based on big data analysis, and belongs to the technical field of nursing data management; by evaluating the inquiry state of the gynecological nursing of the first object, processing and analyzing the whole-process voice data of the gynecological nursing inquiry of the first object, whether the work of the first object in the gynecological nursing inquiry is in place or not can be obtained; the harvest state of gynecological nursing implemented by the first object is evaluated, the whole-process voice data of gynecological nursing answers implemented by the second object is processed and analyzed, and whether the physical state of the second object is normal or not can be obtained; the invention is used for solving the technical problems that in the prior art, automatic data monitoring statistics, processing analysis and sharing cannot be implemented on nursing behaviors of different nursing staff each time, so that the transparency of each implemented gynecological nursing inquiry process is poor and the effect of state analysis is poor.
Description
Technical Field
The invention relates to the technical field of nursing data management, in particular to a gynecological nursing management system and method based on big data analysis.
Background
Hospital gynecological care refers to professional care and therapeutic services performed in medical institutions for female patients, including professional care, gynecological disease treatment, surgical care, obstetrical care, psychological care, and the like.
The prior gynecological nursing management scheme basically stays above manual inquiry and manual recording when being implemented, then inquiry, recording analysis and management are carried out on gynecological postoperative states of different patients and nursing states of different nursing staff through manual operation, automatic data monitoring statistics, processing analysis and sharing cannot be carried out on nursing behaviors of different nursing staff each time, and therefore transparency of gynecological nursing inquiry process carried out each time is poor and effect of state analysis is poor.
Disclosure of Invention
The invention aims to provide a gynecological nursing management system and method based on big data analysis, which are used for solving the technical problems that in the prior art, automatic data monitoring statistics, processing analysis and sharing cannot be implemented on nursing behaviors of different nursing staff each time, so that the transparency of each implemented gynecological nursing inquiry process is poor and the effect of state analysis is poor.
The aim of the invention can be achieved by the following technical scheme:
A gynecological care management system based on big data analysis, comprising:
The nursing monitoring information processing analysis module is used for implementing monitoring statistics on the whole process of gynecological nursing of different first objects every day in the target area, and carrying out data analysis on nursing monitoring data of the monitoring statistics to obtain a corresponding nursing monitoring integration daily table and uploading the nursing monitoring integration daily table to the nursing supervision sharing platform; comprising the following steps:
acquiring first voice monitoring data of nursing inquiry of a first object and second voice monitoring data of inquiry answer of a second object according to overall process implementation monitoring statistics of gynecological nursing of different first objects each time in a target area;
Performing voice recognition processing and keyword extraction on all voices in the first voice monitoring data and the second voice monitoring data, and combining to obtain first voice processing data and second voice processing data;
When the inquiry state of gynecological nursing implemented by the first object is evaluated, acquiring a corresponding daily standard nursing phrase and a daily special nursing phrase according to the patient nursing number of the second object;
Performing traversal matching on all nursing inquiry keywords in the first voice processing data of the first object and all standard nursing inquiry keywords in the daily standard nursing phrase and the daily special nursing phrase of the second object in sequence to obtain individual nursing state analysis data composed of nursing inquiry qualified labels or nursing inquiry unqualified labels and nursing inquiry abnormal traceability data;
When evaluating the harvest state of gynecological nursing implemented by the first object, performing traversal matching on the traversal mark and a nursing process database of the second object to obtain a corresponding standard nursing state phrase, and performing traversal matching on all nursing reply keywords in the second voice processing data and all standard nursing reply keywords in the standard nursing state phrase to obtain individual reply state analysis data consisting of a harvest normal label or a harvest abnormal label, a selected reply keyword and a selected reply sentence;
and (3) combining the individual nursing state analysis data and the individual reply state analysis data of all second subjects of which the first subjects are responsible for gynecological nursing on the same day in a time sequence manner to construct a nursing monitoring integration daily table.
Preferably, when the first object arrives at the bed of the second object which is responsible for gynecological nursing, generating a supervision instruction, recording the nursing start time Tin of the first object arriving at the bed of the second object and the patient nursing number corresponding to the second object according to the supervision instruction, simultaneously recording the nursing end time Tout of the first object leaving the bed of the second object, and acquiring the nursing duration Tc of the first object for nursing the second object according to the nursing start time and the nursing end time;
And carrying out voice monitoring statistics on the whole process of the gynecological nursing of the first object and the answering of the second object, acquiring all voices of the nursing inquiry of the first object and all voices of the answering of the inquiry of the second object, and respectively combining the voices to obtain first voice monitoring data and second voice monitoring data.
Preferably, if all standard care query keywords in the daily standard care phrase and the daily special care phrase appear in the first voice processing data, generating a care query qualified label;
if at least one of all standard nursing inquiry keywords in the daily standard nursing phrase and the daily special nursing phrase does not appear in the first voice processing data, generating a nursing inquiry unqualified standard, and carrying out traceability evaluation on nursing abnormality of the first object according to the nursing inquiry unqualified label to obtain nursing inquiry abnormality traceability data.
Preferably, the step of nursing inquiry anomaly traceability data acquisition includes:
Counting the total number of all standard nursing inquiry keywords which do not appear in the first voice processing data in the daily standard nursing phrase according to the nursing inquiry unqualified labels, marking the total number as a first inquiry abnormal total number S1, and counting the total number of all standard nursing inquiry keywords which do not appear in the first voice processing data in the daily special nursing phrase, marking the total number as a second inquiry abnormal total number S2; calculating and acquiring the abnormality degree Yd of the nursing inquiry corresponding to the first object through a formula ; wherein W1 is the word weight corresponding to the standard nursing inquiry keyword in the daily standard nursing phrase, and W2 is the word weight corresponding to the standard nursing inquiry keyword in the daily special nursing phrase.
Preferably, if all the care reply keywords in the second voice processing data appear in the standard care state phrase, generating a harvest normal label;
If the nursing reply keyword exists in the second voice processing data and is not in the standard nursing state data, generating a harvesting exception label, marking a nursing reply sentence corresponding to the nursing reply keyword as a selected reply sentence, marking a second object as a selected object, and simultaneously pushing second nursing basic information related to the selected reply sentence and the selected object to a corresponding responsible person and prompting.
Preferably, the nursing monitoring information utilization management module is used for carrying out data analysis on nursing monitoring integration daily charts of different first objects every day to obtain the overall nursing states corresponding to the different first objects, and pushing all the overall nursing states to a superior manager so as to implement comprehensive gynecological nursing behavior management and personnel management.
Preferably, nursing monitoring integration daily charts corresponding to different first objects are sequentially obtained, all individual nursing state analysis data are traversed and counted, all individual nursing state analysis data are further traversed and counted, the total number of qualified nursing inquiry labels H1 and the total number of unqualified nursing inquiry labels H2 are further counted, and the nursing qualification rate HL of the first object on the same day is obtained through calculation of a formula HL= (H1-alpha)/(H1 + H2); wherein α is a care abnormality affecting factor.
Preferably, all the first objects are ordered in a descending order according to the magnitude of the nursing qualification rate value to obtain a nursing state ordered set, and all the first objects smaller than the nursing qualification threshold value are subjected to key marking and statistics of the marked total number R1, and meanwhile the marking rate BL is calculated through the formula BL= (R1/R0) -K; wherein K is a marked warning value; generating a nursing behavior abnormal instruction when the marking rate is smaller than zero;
And pushing the nursing state ordered set to a manager at the upper level, and prompting the manager to implement alarming prompt of nursing behavior management according to the nursing behavior abnormal instruction.
Preferably, the specific step of acquiring the care abnormality affecting factor includes:
And acquiring the abnormality degree Yd in the corresponding nursing inquiry abnormality traceability data according to all the nursing inquiry unqualified labels of the first object on the same day, extracting the numerical values of all the abnormality degrees, and calculating and acquiring the nursing abnormality influence factor alpha corresponding to all the nursing inquiry unqualified labels of the first object through a formula .
A gynecological care management method based on big data analysis, comprising:
Monitoring and counting all first objects for gynecological nursing and corresponding first nursing basic information in a target area, and all second objects for gynecological nursing and corresponding second nursing basic information which are responsible for different first objects;
implementing monitoring statistics on the whole process of gynecological nursing of different first objects every day in a target area, and performing data analysis on nursing monitoring data of the monitoring statistics to obtain a corresponding nursing monitoring integration daily table;
And carrying out data analysis on nursing monitoring integration daily tables of different first objects every day to obtain the overall nursing states corresponding to the different first objects, and pushing all the overall nursing states to a manager at the upper level so as to implement comprehensive gynecological nursing behavior management and personnel management.
Compared with the prior art, the invention has the beneficial effects that:
According to the invention, through evaluating the inquiry state of gynecological nursing implemented by the first object, the whole process voice data of the gynecological nursing inquiry implemented by the first object is processed and analyzed, so that whether the first object works in place or not when the gynecological nursing inquiry is implemented each time can be intuitively and efficiently obtained, reliable local data support can be provided for the analysis of the overall gynecological nursing inquiry state of the first object on the same day, and the reliability and the diversity of the mining and the utilization of the individual gynecological nursing inquiry monitoring data are improved.
According to the invention, through evaluating the harvest state of gynecological nursing implemented by the first object and processing and analyzing the whole process voice data of gynecological nursing answer implemented by the second object, whether the physical state of the second object is normal or not can be intuitively and efficiently obtained, abnormal physical manifestations of the second object can be actively pushed to corresponding responsible personnel for checking and determining, and timeliness and initiative of individual gynecological nursing answer monitoring data mining and utilization are improved.
According to the invention, the gynecological nursing inquiry monitoring analysis data of different nursing staff at each time is integrated and calculated to obtain the corresponding nursing qualification rate and marking rate, so that a manager can timely and comprehensively know different nursing implementation states of different nursing staff on the same day, and can timely implement targeted behavior management and staff management on different nursing staff and teams, thereby improving the comprehensive performance of gynecological nursing data monitoring and the diversity and reliability of data analysis and utilization.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a block diagram of a gynecological care management system based on big data analysis according to the present invention.
Fig. 2 is a block flow diagram of the assessment of the interrogation status of gynecological care performed by a first subject in accordance with the present invention.
Fig. 3 is a block flow diagram of the evaluation of the harvest status of gynecological care performed on a first subject in accordance with the present invention.
Fig. 4 is a flow chart of a gynecological nursing management method based on big data analysis.
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 are obtained by persons skilled in the art without any inventive effort, are within the scope of the present invention based on the embodiments of the present invention.
Example 1: as shown in fig. 1, the invention relates to a gynecological nursing management system based on big data analysis, which comprises a nursing staff information monitoring and counting module, a nursing monitoring information processing and analyzing module and a nursing supervision sharing platform;
The nursing staff information monitoring and counting module is used for monitoring and counting all first objects for implementing gynecological nursing and corresponding first nursing basic information in a target area, wherein the target area can be a nursing department of a hospital, the first objects are nurses for implementing gynecological nursing, and all second objects which are responsible for different first objects and need to be implemented with gynecological nursing and corresponding second nursing basic information are uploaded to the nursing supervision sharing platform; the second object is a patient who needs gynecological rehabilitation nursing after operation;
the first nursing basic information comprises a name, total nursing duration and nursing qualification rate of the first object; the unit of total nursing duration is day; the second care basic information includes a name, an age, a sex, a time of entry, a care type, and a patient care number of the second subject, the care type being determined according to a type of surgery performed by the patient, the patient care number being acquired based on an existing numbering rule;
The nursing monitoring information processing analysis module is used for implementing monitoring statistics on the whole process of gynecological nursing of different first objects every day in the target area, and carrying out data analysis on nursing monitoring data of the monitoring statistics to obtain a corresponding nursing monitoring integration daily table and uploading the nursing monitoring integration daily table to the nursing supervision sharing platform; comprising the following steps:
when monitoring statistics is implemented on the whole process of gynecological nursing of different first objects every day in a target area, generating a supervision instruction when the first object reaches a bed of a second object which is responsible for gynecological nursing, recording the nursing start time Tin of the first object reaching the bed of the second object and a patient nursing number corresponding to the second object according to the supervision instruction, recording the nursing end time Tout of the first object leaving the bed of the second object, and acquiring the nursing duration Tc of the first object on the second object according to the nursing start time and the nursing end time;
It should be noted that, monitoring and generation of the supervision instruction can be realized through an RFID technology, the unit of the nursing start time and the nursing end time are accurate to seconds, and the unit of the nursing duration time is minutes;
Performing voice monitoring statistics on the whole process of the gynecological nursing of the first object and the answering of the second object, acquiring all voices of the nursing inquiry of the first object and all voices of the inquiring answering of the second object, and respectively combining the voices to obtain first voice monitoring data and second voice monitoring data; wherein the voice monitoring statistics may be implemented by a sound recording device worn on the first subject;
Performing voice recognition processing and keyword extraction on all voices in the first voice monitoring data and the second voice monitoring data, and combining to obtain first voice processing data and second voice processing data;
it should be explained that, the voice recognition processing is to convert voice into text in real time through the existing voice recognition technology, the extraction of keywords of the converted text is realized through the existing keyword recognition technology, the voice recognition technology and the keyword recognition technology are both the existing conventional technology, and specific steps are not described here;
in the embodiment of the invention, through carrying out voice monitoring statistics on the whole process of carrying out gynecological nursing inquiry on the first object and answering by the second object, not only can evidence be reserved for disputes generated by carrying out gynecological nursing on the subsequent first object, but also reliable voice data support can be provided for each inquiry state analysis and harvest state analysis of the subsequent first object;
As shown in fig. 2, when evaluating the inquiry state of gynecological nursing implemented by the first object, acquiring a corresponding nursing process database according to the patient nursing number of the second object, extracting the numerical value of the real-time Beijing time and setting the numerical value as a traversal mark, and performing traversal matching on the traversal mark and the nursing process database of the second object to acquire a corresponding daily standard nursing phrase and a daily special nursing phrase;
It should be noted that, the nursing process database includes several daily standard nursing phrases, daily special nursing phrases and standard nursing status phrases of the second object, and the nursing process database can be constructed by screening and sorting according to the nursing type of the second object and by combining with historical gynecological nursing big data by a person skilled in the art; the daily standard nursing phrase and the daily special nursing phrase both comprise a plurality of standard nursing inquiry keywords, the plurality of standard nursing inquiry keywords contained in the daily standard nursing phrase are conventional and universal nursing inquiry keywords, and the plurality of standard nursing inquiry keywords contained in the daily special nursing phrase are pertinently constructed according to the nursing type of the second object;
performing traversal matching on all nursing inquiry keywords in the first voice processing data of the first object and all standard nursing inquiry keywords in the daily standard nursing phrase and the daily special nursing phrase of the second object in sequence;
if all standard nursing inquiry keywords in the daily standard nursing phrase and the daily special nursing phrase appear in the first voice processing data, generating a nursing inquiry qualified label;
If at least one of all standard nursing inquiry keywords in the daily standard nursing phrase and the daily special nursing phrase does not appear in the first voice processing data, generating a nursing inquiry unqualified standard, and performing traceability evaluation on nursing abnormality of the first object according to a nursing inquiry unqualified label to obtain nursing inquiry abnormality traceability data; comprising the following steps:
Counting the total number of all standard nursing inquiry keywords which do not appear in the first voice processing data in the daily standard nursing phrase according to the nursing inquiry unqualified labels, marking the total number as a first inquiry abnormal total number S1, and counting the total number of all standard nursing inquiry keywords which do not appear in the first voice processing data in the daily special nursing phrase, marking the total number as a second inquiry abnormal total number S2; calculating and acquiring the abnormality degree Yd of the nursing inquiry corresponding to the first object through a formula ; wherein W1 is the word weight corresponding to the standard nursing inquiry keyword in the daily standard nursing phrase, W2 is the word weight corresponding to the standard nursing inquiry keyword in the daily special nursing phrase, and the specific numerical values of the word weights corresponding to W1 and W2 can be customized by a person skilled in the art according to the negative influence generated by the keywords, so as to realize the digital and differential representation of the keywords in the daily standard nursing phrase and the daily special nursing phrase;
The abnormality degree is a numerical value for integrating and calculating abnormality data of the first subject in the gynecological nursing inquiry process to express the nursing abnormality degree; the greater the degree of abnormality, the more serious the degree of abnormality in the nursing of the gynecological nursing inquiry process is performed corresponding to the first subject;
the first query anomaly total number, the second query anomaly total number and the anomaly degree form nursing query anomaly traceability data;
the nursing inquiry qualified label or the nursing inquiry unqualified label and the nursing inquiry abnormal traceability data form individual nursing state analysis data;
According to the embodiment of the invention, through evaluating the inquiry state of gynecological nursing implemented by the first object and processing and analyzing the whole process voice data of the gynecological nursing inquiry implemented by the first object, whether the first object works in place or not in each gynecological nursing inquiry implementation can be intuitively and efficiently obtained, reliable local data support can be provided for the overall gynecological nursing inquiry state analysis of the first object on the same day, and the reliability and the diversity of the mining and utilization of the individual gynecological nursing inquiry monitoring data are improved.
As shown in fig. 3, when evaluating the harvest state of gynecological nursing implemented by the first object, performing traversal matching on the traversal mark and the nursing process database of the second object to obtain a corresponding standard nursing state phrase, and performing traversal matching on all nursing reply keywords in the second voice processing data and all standard nursing reply keywords in the standard nursing state phrase; the standard nursing state phrase comprises a plurality of standard nursing reply keywords, and is also constructed in a targeted manner according to the nursing type of the second object and the historical nursing big data;
If all the nursing reply keywords in the second voice processing data appear in the standard nursing state phrase, generating a harvesting normal label;
If the nursing reply keywords in the second voice processing data are not in the standard nursing state data, generating a harvesting exception label, marking the nursing reply sentences corresponding to the nursing reply keywords as selected reply sentences, marking the second objects as selected objects, and simultaneously pushing the second nursing basic information associated with the selected reply sentences and the selected objects to corresponding responsible personnel and prompting; the responsible person may be the attending physician of the second subject;
Harvesting normal labels or harvesting abnormal labels, and forming individual reply state analysis data by the selected reply keywords and the selected reply sentences;
the individual nursing state analysis data and the individual reply state analysis data of all second subjects of which the first subjects are responsible for gynecological nursing on the same day are arranged and combined in time sequence to construct a nursing monitoring integration daily table;
According to the embodiment of the invention, through evaluating the harvest state of gynecological nursing implemented by the first object and processing and analyzing the whole-process voice data of gynecological nursing answer implemented by the second object, whether the body state of the second object is normal or not can be intuitively and efficiently obtained, abnormal body manifestations of the second object can be actively pushed to corresponding responsible personnel for checking and determining, and timeliness and initiative of individual gynecological nursing answer monitoring data mining and utilization are improved.
Example 2: on the basis of the technical scheme of the embodiment 1, the system further comprises a nursing monitoring information utilization management module, wherein the nursing monitoring information utilization management module is used for carrying out data analysis on nursing monitoring integration daily tables of different first objects every day to obtain the overall nursing states corresponding to the different first objects, and pushing all the overall nursing states to a superior manager so as to implement omnibearing gynecological nursing behavior management and personnel management; comprising the following steps:
Sequentially acquiring nursing monitoring integration japanese corresponding to different first objects, performing traversal statistics on all individual nursing state analysis data, further performing traversal statistics on the total number of nursing inquiry qualified tags H1 and the total number of nursing inquiry unqualified tags H2 on all individual nursing state analysis data, and calculating and acquiring the nursing qualification rate HL of the first object on the same day through a formula HL= (H1-alpha)/(H1 + H2); wherein alpha is a nursing abnormality affecting factor;
it should be noted that the nursing qualification rate is a numerical value for integrating all monitoring analysis results of the nursing inquiry of the first object on the same day to evaluate the overall nursing qualification condition on the same day; the larger the value of the nursing qualification rate is, the more excellent the overall nursing state corresponding to the current day of the first object is;
the specific acquisition steps of the nursing abnormality influencing factors comprise:
Acquiring the abnormality degree Yd in the corresponding nursing inquiry abnormality traceability data according to all the nursing inquiry unqualified labels of the first object on the same day, extracting the numerical values of all the abnormality degrees, and calculating and acquiring the nursing abnormality influence factors alpha corresponding to all the nursing inquiry unqualified labels of the first object through a formula ;
Ordering all first objects in a descending order according to the magnitude of the nursing qualification rate value to obtain a nursing state ordered set, and performing key marking and statistics on the total number R1 of all first objects smaller than a nursing qualification threshold, wherein the nursing qualification threshold can be the average value of all the nursing qualification rates, or can be customized by a manager, and meanwhile, the marking rate BL is calculated through the formula BL= (R1/R0) -K; wherein K is a marked warning value which is determined according to the actual total number of all the first objects; generating a nursing behavior abnormal instruction when the marking rate is smaller than zero;
and pushing the nursing state ordered set to a manager at the upper level, wherein the manager can be a nurse, and simultaneously prompts the manager to implement alarming prompt of nursing behavior management according to the nursing behavior abnormal instruction. Such as targeted training and instruction for the first object of the accented mark.
The method is different from the prior art that the manager can only evaluate the nursing states of different nursing staff through oral inquiry and according to own experience, and cannot know the gynecological nursing implementation conditions of different nursing staff in each time in an omnibearing and efficient way; according to the embodiment of the invention, the corresponding nursing qualification rate and the corresponding marking rate are obtained by integrating and calculating the gynecological nursing inquiry monitoring analysis data of different nursing staff each time, so that a manager can timely and comprehensively know different nursing implementation states of different nursing staff on the same day, and targeted behavior management and staff management can be timely implemented on different nursing staff and teams, and the comprehensive performance of gynecological nursing data monitoring and the diversity and reliability of data analysis and utilization are improved.
Example 3: as shown in fig. 4, a gynecological care management method based on big data analysis includes:
Monitoring and counting all first objects for gynecological nursing and corresponding first nursing basic information in a target area, and all second objects for gynecological nursing and corresponding second nursing basic information which are responsible for different first objects;
implementing monitoring statistics on the whole process of gynecological nursing of different first objects every day in a target area, and performing data analysis on nursing monitoring data of the monitoring statistics to obtain a corresponding nursing monitoring integration daily table;
And carrying out data analysis on nursing monitoring integration daily tables of different first objects every day to obtain the overall nursing states corresponding to the different first objects, and pushing all the overall nursing states to a manager at the upper level so as to implement comprehensive gynecological nursing behavior management and personnel management.
In addition, the formulas related in the above are all formulas for removing dimensions and taking numerical calculation, and are one formula which is obtained by acquiring a large amount of data and performing software simulation through simulation software and is closest to the actual situation.
In the several embodiments provided by the present invention, it should be understood that the disclosed system may be implemented in other ways. For example, the above-described embodiments of the invention are merely illustrative, and for example, the division of modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the essential characteristics thereof.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (8)
1. A gynecological care management system based on big data analysis, comprising: the nursing monitoring information processing analysis module is used for implementing monitoring statistics on the whole process of gynecological nursing of different first objects every day in the target area, and carrying out data analysis on nursing monitoring data of the monitoring statistics to obtain a corresponding nursing monitoring integration daily table and uploading the nursing monitoring integration daily table to the nursing supervision sharing platform; comprising the following steps:
acquiring first voice monitoring data of nursing inquiry of a first object and second voice monitoring data of inquiry answer of a second object according to overall process implementation monitoring statistics of gynecological nursing of different first objects each time in a target area;
Performing voice recognition processing and keyword extraction on all voices in the first voice monitoring data and the second voice monitoring data, and combining to obtain first voice processing data and second voice processing data;
When the inquiry state of gynecological nursing implemented by the first object is evaluated, acquiring a corresponding daily standard nursing phrase and a daily special nursing phrase according to the patient nursing number of the second object;
performing traversal matching on all nursing inquiry keywords in the first voice processing data of the first object and all standard nursing inquiry keywords in the daily standard nursing phrase and the daily special nursing phrase of the second object in sequence to obtain individual nursing state analysis data composed of nursing inquiry qualified labels or nursing inquiry unqualified labels and nursing inquiry abnormal traceability data;
If all standard nursing inquiry keywords in the daily standard nursing phrase and the daily special nursing phrase appear in the first voice processing data, generating a nursing inquiry qualified label;
If at least one of all standard nursing inquiry keywords in the daily standard nursing phrase and the daily special nursing phrase does not appear in the first voice processing data, generating a nursing inquiry unqualified label, and performing traceability evaluation on nursing abnormality of the first object according to the nursing inquiry unqualified label to obtain nursing inquiry abnormality traceability data; the nursing inquiry abnormal traceability data acquisition comprises the following steps of:
Counting the total number of all standard nursing inquiry keywords which do not appear in the first voice processing data in the daily standard nursing phrase according to the nursing inquiry unqualified labels, marking the total number as a first inquiry abnormal total number S1, and counting the total number of all standard nursing inquiry keywords which do not appear in the first voice processing data in the daily special nursing phrase, marking the total number as a second inquiry abnormal total number S2; calculating and acquiring the abnormality degree Yd of the nursing inquiry corresponding to the first object through a formula ; wherein, W1 is the word weight corresponding to the standard nursing inquiry keyword in the daily standard nursing phrase, and W2 is the word weight corresponding to the standard nursing inquiry keyword in the daily special nursing phrase;
the first query anomaly total number, the second query anomaly total number and the anomaly degree form nursing query anomaly traceability data;
When the harvest state of gynecological nursing implemented by the first object is evaluated, traversing and matching the traversing mark with a nursing process database of the second object to obtain a corresponding standard nursing state phrase, traversing and matching all nursing reply keywords in the second voice processing data with all standard nursing reply keywords in the standard nursing state phrase to obtain individual reply state analysis data consisting of a harvest normal label or a harvest abnormal label, a selected reply sentence associated with the harvest abnormal label and the selected object;
If the nursing reply keyword exists in the second voice processing data and is not in the standard nursing state data, generating a harvesting exception label, marking a nursing reply sentence corresponding to the nursing reply keyword as a selected reply sentence, marking a second object as a selected object, and simultaneously pushing second nursing basic information related to the selected reply sentence and the selected object to a corresponding responsible person and prompting;
and (3) combining the individual nursing state analysis data and the individual reply state analysis data of all second subjects of which the first subjects are responsible for gynecological nursing on the same day in a time sequence manner to construct a nursing monitoring integration daily table.
2. The gynecological-care management system based on big-data analysis according to claim 1, wherein a supervision order is generated when a first object arrives at a bed of a second object responsible for gynecological-care, and a care start time Tin of the first object arriving at the bed of the second object and a patient care number corresponding to the second object are recorded according to the supervision order, and a care end time Tout of the first object leaving the bed of the second object is recorded at the same time, and a care duration Tc of the first object for the second object is obtained according to the care start time and the care end time;
And carrying out voice monitoring statistics on the whole process of the gynecological nursing of the first object and the answering of the second object, acquiring all voices of the nursing inquiry of the first object and all voices of the answering of the inquiry of the second object, and respectively combining the voices to obtain first voice monitoring data and second voice monitoring data.
3. The gynecological care management system based on big data analysis according to claim 1, wherein if all care reply keywords in the second voice processing data appear in the standard care state phrase, generating a harvest normal label;
If the nursing reply keyword exists in the second voice processing data and is not in the standard nursing state data, generating a harvesting exception label, marking a nursing reply sentence corresponding to the nursing reply keyword as a selected reply sentence, marking a second object as a selected object, and simultaneously pushing second nursing basic information related to the selected reply sentence and the selected object to a corresponding responsible person and prompting.
4. The gynecological nursing management system based on big data analysis according to claim 1, wherein the nursing monitoring information utilization management module is used for carrying out data analysis on nursing monitoring integration daily tables of different first objects every day to obtain overall nursing states corresponding to the different first objects, and pushing all the overall nursing states to a superior manager so as to implement comprehensive gynecological nursing behavior management and personnel management.
5. The gynecological nursing management system based on big data analysis according to claim 4, wherein nursing monitoring integration daily tables corresponding to different first objects are sequentially acquired, all individual nursing state analysis data are traversed and counted, further traversing and counting the total number of nursing inquiry qualified labels H1 and the total number of nursing inquiry unqualified labels H2 are carried out on all individual nursing state analysis data, and the nursing qualification rate HL of the first object on the same day is acquired through calculation of a formula HL= (H1-alpha)/(H1 + H2); wherein α is a care abnormality affecting factor.
6. The gynecological care management system based on big data analysis according to claim 5, wherein all first objects are sorted in descending order according to the size of the care qualification rate value to obtain a care state sorted set, and all first objects smaller than the care qualification threshold value are subjected to key marking and statistics of marked population R1, and meanwhile marking rate BL is calculated through formula bl= (R1/R0) -K; wherein K is a marked warning value; generating a nursing behavior abnormal instruction when the marking rate is smaller than zero;
And pushing the nursing state ordered set to a manager at the upper level, and prompting the manager to implement alarming prompt of nursing behavior management according to the nursing behavior abnormal instruction.
7. A gynecological care management system based on big data analysis according to claim 5, wherein the specific acquisition step of the care abnormality influencing factor comprises:
And acquiring the abnormality degree Yd in the corresponding nursing inquiry abnormality traceability data according to all the nursing inquiry unqualified labels of the first object on the same day, extracting the numerical values of all the abnormality degrees, and calculating and acquiring the nursing abnormality influence factor alpha corresponding to all the nursing inquiry unqualified labels of the first object through a formula .
8. A gynecological care management method based on big data analysis, applied to a gynecological care management system based on big data analysis as claimed in any one of claims 1 to 7, comprising:
Monitoring and counting all first objects for gynecological nursing and corresponding first nursing basic information in a target area, and all second objects for gynecological nursing and corresponding second nursing basic information which are responsible for different first objects;
implementing monitoring statistics on the whole process of gynecological nursing of different first objects every day in a target area, and performing data analysis on nursing monitoring data of the monitoring statistics to obtain a corresponding nursing monitoring integration daily table;
And carrying out data analysis on nursing monitoring integration daily tables of different first objects every day to obtain the overall nursing states corresponding to the different first objects, and pushing all the overall nursing states to a manager at the upper level so as to implement comprehensive gynecological nursing behavior management and personnel management.
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