Hospital grade assessment method, server, mobile terminal and readable storage medium

Abstract

The embodiment of the present application provides a hospital grade assessment method, a server end, a mobile end and a readable storage medium, which relates to the field of hospital management. In this method, review data is obtained, and the review data includes multiple items to be inspected and the standard scores corresponding to each item to be inspected; feature extraction is performed on the items to be inspected in the review data, and multiple inspection items and department groups corresponding to each inspection item are generated, and each inspection item is scored and assigned to obtain the inspection score corresponding to each inspection item; according to the department grouping, the corresponding inspection items are sent to the mobile ends of the multiple inspection departments; the department inspection results returned by the mobile ends of each inspection department are received, and the department inspection results are automatically statistically calculated to obtain statistical results; the hospital assessment grade is determined based on the statistical results and the standard scores. The embodiment of the present application can automate the review process of each department, reduce personnel participation, and greatly facilitate the inspection and review work.

Description

Technical Field

[0001] The present application relates to the technical field of hospital grade assessment, and in particular to a hospital grade assessment method, a server side, a mobile side and a readable storage medium. Background Art

[0002] When hospitals are evaluated for tertiary hospital status, they are subject to numerous criteria. Among these criteria are preconditions, which are subject to a single vote and form the basis of the evaluation scoring. Most hospitals undergoing evaluation generally meet these requirements. Another section involves scoring individual departments within the hospital. Each department has different requirements, and manually evaluating each department requires significant manpower. Summary of the Invention

[0003] This application provides a hospital grade assessment method, server side, mobile side and readable storage medium, which can automate the review process of each department, reduce personnel participation, and greatly facilitate inspection and review work.

[0004] In a first aspect, the present application provides a hospital grade assessment method, the method comprising:

[0005] Acquiring review data, the review data including a plurality of items to be inspected and a standard score corresponding to each of the items to be inspected;

[0006] Extracting features of the items to be inspected in the review data to generate a plurality of inspection items and department groups corresponding to the inspection items;

[0007] According to the department grouping, the corresponding inspection items are sent to the mobile terminals of multiple inspection departments;

[0008] Receive the department inspection results returned by the mobile terminal of each inspection department, and automatically perform statistical calculations on the department inspection results to obtain statistical results;

[0009] The hospital rating is determined based on the statistical results and the standard score.

[0010] In the above technical solution, by obtaining review data, the review data includes multiple items to be inspected and the standard scores corresponding to each item to be inspected, and feature extraction is performed on the items to be inspected in the review data to generate multiple inspection items and department groups corresponding to each inspection item. By automatically generating inspection items and department groups corresponding to the inspection items, human resources can be effectively saved; then, according to the department groups, the corresponding inspection items are sent to the mobile terminals of multiple inspection departments, so that each inspection department can be reviewed; the department inspection results returned by the mobile terminals of each inspection department are received, and the department inspection results are automatically statistically calculated to obtain statistical results. According to the statistical results, it is easier to obtain the hospital evaluation level, further saving human resources; the hospital evaluation level is determined according to the statistical results and the standard scores. Compared with the manual review in the prior art, the embodiment of the present application obtains inspection items by extracting features, reviews each department according to the inspection items, and automatically calculates the department inspection results. It can automate the review process of each department, reduce personnel participation, and greatly facilitate the inspection and review work.

[0011] In some embodiments of the present application, extracting features of the items to be inspected in the review data to generate multiple inspection items and department groups corresponding to each inspection item includes:

[0012] Performing feature extraction on the plurality of items to be inspected to obtain keywords corresponding to the items to be inspected;

[0013] Counting the number of occurrences of each keyword to obtain the number of occurrences, and classifying each keyword to obtain the department group corresponding to the keyword;

[0014] In the case that the number of occurrences is less than the number of the inspection departments, the keyword is used as the inspection item to obtain a plurality of the inspection items and the department groups corresponding to the respective inspection items.

[0015] In the above technical solution, keywords are obtained by extracting features from multiple items to be inspected. Through automated feature extraction, manual participation is reduced. When the keywords are counted, inspection items are obtained when the number of occurrences is less than the number of inspection departments. By classifying the keywords, department groupings corresponding to the inspection items can be obtained. Preparations are made for subsequent reviews of each inspection department based on the inspection items and department groupings.

[0016] In some embodiments of the present application, the automatic statistical calculation of the department inspection results to obtain statistical results includes:

[0017] Aggregating the data of the inspection results of each inspection department to obtain an aggregated result;

[0018] The summary results are analyzed in multiple dimensions to obtain statistical results, and the multi-dimensional relationships in the statistical results are displayed.

[0019] In the above technical solution, the department inspection results are summarized and analyzed from multiple dimensions. Through the above multi-dimensional automatic analysis, the amount of manual calculation is reduced. The statistical results can also clearly reflect the department inspection results, making it convenient to view the results.

[0020] In some embodiments of the present application, after determining the hospital rating based on the statistical results and the standard score, the method further includes:

[0021] Screening out unqualified inspection items based on the statistical results and the standard scores;

[0022] According to the department grouping corresponding to the inspection items, the unqualified inspection items are sent to the mobile terminal of the inspection department, so that the mobile terminal of the inspection department displays the unqualified inspection items for improvement.

[0023] In the above technical solution, after the hospital is graded, unqualified inspection items are screened out according to the results of the assessment, and the unqualified inspection items are sent to the mobile terminal of the inspection department to facilitate the identification of weak departments, so that the mobile terminal of the inspection department can improve the unqualified inspection items, so that the department's inspection results meet the standard score, thereby improving the pass rate of the next hospital grade assessment.

[0024] In a second aspect, an embodiment of the present application provides a hospital grade assessment method, which is applied to a mobile terminal of multiple inspection departments, and the method includes:

[0025] Each of the mobile terminals receives the inspection items sent by the server terminal, wherein the inspection items are obtained by extracting features of the items to be inspected in the review data by the server terminal;

[0026] The mobile terminal responds to the target object's inspection and review of each of the inspection items, and the mobile terminal scores the inspection and review to obtain the department inspection results, and sends the department inspection results to the server terminal, so that the server terminal automatically performs statistical calculations on the department inspection results to obtain statistical results, and determines the hospital assessment level based on the statistical results and the standard scores in the review data.

[0027] In the above technical solution, each mobile terminal receives the inspection items sent by the server terminal. At this time, the inspection items correspond to each inspection department and can be directly reviewed; the mobile terminal responds to the inspection review of each inspection item by the target object, and the mobile terminal scores the inspection review to obtain the department inspection results, and sends the department inspection results to the server terminal, so that the server terminal automatically performs statistical calculations on the department inspection results to obtain statistical results, and determines the hospital assessment level based on the statistical results and the standard score in the review data. The results of the inspection and review are statistically analyzed on the mobile terminal and sent to the server terminal. This process is automatically performed without human participation, saving manpower. The embodiment of the present application can automate the review process of each department, reduce personnel participation, and greatly facilitate the inspection and review work.

[0028] In some embodiments of the present application, the mobile terminal responds to the target subject's inspection review of each inspection item and scores the inspection review to obtain a department inspection result, including:

[0029] In response to the target subject's inspection and review of each of the inspection items, the mobile terminal counts the number of words in all the inspection and review items to obtain a total number of words;

[0030] Obtaining the score ratio of each word in the inspection review according to the total number of words and the number of inspection departments;

[0031] Obtaining a subjective score value based on the score ratio and the number of words in each of the inspection and review;

[0032] According to the preset evaluation criteria, each inspection item is scored to obtain an objective score value;

[0033] The subjective scoring value and the objective scoring value are linearly combined to obtain the department inspection result.

[0034] In the above technical solution, subjective and objective evaluations are conducted based on each inspection item of each inspection department, and a more comprehensive evaluation is conducted, and the evaluation results are more accurate.

[0035] In some embodiments of the present application, after the mobile terminal responds to the target object's inspection review of each inspection item, scores the inspection review, obtains a department inspection result, and sends the department inspection result to the server, the method further includes:

[0036] receiving the unqualified inspection items sent by the server;

[0037] The unqualified inspection items are displayed so as to improve the unqualified inspection items.

[0038] In the above technical solution, for the unqualified inspection items, the weak departments can be identified, and each inspection department can carry out targeted rectification for the unqualified items, prepare for the next inspection and adjustment, and improve the passing efficiency of the next assessment.

[0039] In a third aspect, an embodiment of the present application provides a server side, including:

[0040] A data acquisition module is used to acquire review data, wherein the review data includes a plurality of items to be inspected and a standard score corresponding to each of the items to be inspected;

[0041] A data processing module is used to extract features of the items to be inspected in the review data, generate multiple inspection items and department groups corresponding to each inspection item;

[0042] A first sending module is used to send the corresponding inspection items to the mobile terminals of multiple inspection departments according to the department grouping;

[0043] A first receiving module is used to receive the department inspection results returned by the mobile terminal of each inspection department, and a statistical analysis module is used to automatically perform statistical calculations on the department inspection results to obtain statistical results;

[0044] The grade assessment module is used to determine the hospital assessment grade based on the statistical results and the standard score.

[0045] In a fourth aspect, an embodiment of the present application provides a mobile terminal, which is applied to multiple inspection departments, including:

[0046] A second receiving module is configured for each mobile terminal to receive the inspection items sent by the server terminal, wherein the inspection items are obtained by the server terminal performing feature extraction on the items to be inspected in the review data;

[0047] The inspection module is used for the mobile terminal to respond to the inspection and review of each inspection item by the target object, and the mobile terminal scores the inspection and review to obtain the department inspection result, and sends the department inspection result to the server terminal, so that the server terminal automatically performs statistical calculations on the department inspection result to obtain statistical results, and determines the hospital evaluation level based on the statistical results and the standard scores in the review data.

[0048] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores instructions. When the instructions are executed, any one of the methods provided in the first aspect is executed.

[0049] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0050] 1. By extracting features from the items to be inspected in the review data, we obtain the inspection items and the corresponding department groups. This process eliminates the need for human intervention, saving human resources. Automatic statistical calculations are then performed on the department inspection results returned by the mobile terminal, facilitating observation and making it easier to obtain grade ratings. Information transmission between the server and mobile terminals further automates the review process. This effectively resolves the problem of wasted human resources in related technologies, automates the review process for each department, reduces human involvement, and greatly facilitates inspection and review work.

[0051] 2. Based on the statistics of department inspection results, weak departments can be identified and rectification can be carried out, thereby improving the pass rate of the next grade assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a flow chart of the service side of the hospital grade assessment method provided by one embodiment of the present application;

[0053] Figure 2 yes Figure 1 A schematic flow chart of a sub-step of step S120;

[0054] Figure 3 yes Figure 1 A schematic flow chart of a sub-step of step S140;

[0055] Figure 4 This is a flow chart of a service side of a hospital grade assessment method provided by another embodiment of the present application;

[0056] Figure 5 This is a flowchart of a mobile terminal of a hospital grade assessment method provided by an embodiment of the present application;

[0057] Figure 6 yes Figure 5 A schematic flow chart of a sub-step of step S320;

[0058] Figure 7 This is a flowchart of a mobile terminal of a hospital grade assessment method provided by another embodiment of the present application;

[0059] Figure 8 This is a schematic diagram of the structure of the server and mobile terminal provided by an embodiment of the present application;

[0060] Figure 9 This is a schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0061] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0062] In the description of the embodiments of this application, words such as "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "for example" or "for instance" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "for example" or "for instance" is intended to present the relevant concepts in a concrete manner.

[0063] In the description of the embodiments of the present application, the term "multiple" means two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0064] In related technologies, tertiary hospitals undergo a review every four years. This review is complex and requires nine months of preparation. Furthermore, all hospital operations must be streamlined. A single department has over 70 information flows, with four optional processes. Information comparisons are required across more than 40 departments, creating a massive manual workload.

[0065] An embodiment of the present application provides a hospital grade assessment method, a server end, a mobile end, and a readable storage medium. The hospital grade assessment method obtains review data, the review data includes multiple items to be inspected and standard scores corresponding to each item to be inspected, and performs feature extraction on the items to be inspected in the review data to generate multiple inspection items and department groups corresponding to each inspection item. By automatically generating inspection items and department groups corresponding to the inspection items, human resources can be effectively saved; then, according to the department groups, corresponding inspection items are sent to the mobile ends of multiple inspection departments, so that an assessment can be performed on each inspection department; department inspection results returned by the mobile ends of each inspection department are received, and the department inspection results are automatically statistically calculated to obtain statistical results. According to the statistical results, it is easier to obtain the hospital assessment grade, further saving human resources; the hospital assessment grade is determined according to the statistical results and the standard scores. Compared with the manual review in the prior art, the embodiment of the present application obtains inspection items by extracting features, reviews each department based on the inspection items, and automatically counts the department inspection results. It can automate the review process of each department, reduce human participation, and greatly facilitate the inspection and review work.

[0066] It should be noted that the hospital grading method can be used for the tertiary evaluation of hospitals, the secondary evaluation of hospitals, etc., and can be used for the grading of other aspects of hospitals, which will not be described in detail here. The hospital grading method of the embodiment of the present application extracts features of the items to be inspected in the review data to obtain the inspection items and the department grouping corresponding to the inspection items. The above process does not require manual participation, which can save human resources. The department inspection results returned by the mobile terminal are then automatically statistically calculated, which is convenient for observation and can easily obtain the grade assessment. The review process is further automated through information transmission between the server and the mobile terminal.

[0067] The technical solutions provided in the embodiments of the present application are further described below in conjunction with the accompanying drawings.

[0068] Reference Figure 1 , Figure 1 1 is a flow chart of a hospital grade assessment method provided in an embodiment of the present application. The hospital grade assessment method is applied to a server side and includes steps S110, S120, S130, S140, and S150.

[0069] Step S110 , obtaining review data, the review data including a plurality of items to be inspected and a standard score corresponding to each item to be inspected.

[0070] In one embodiment, the review data includes a plurality of items to be inspected and a standard score corresponding to each item to be inspected. For example, the items to be inspected may be clinical examinations, service inspections, etc., and the standard score corresponding to the items to be inspected is the score required to meet the inspection requirements of a Class 3A hospital. The review data can be presented in the form of a document. When the review data document is stored locally, the review data can be obtained locally through a preset file reading interface. When the review data document is stored in the cloud, the document can be read locally from the cloud through a preset file reading interface, and then the review data can be obtained. When the review data document is in an online reading format, the review data is obtained through a preset crawler interface. The obtained review data provides standard specifications for the hospital's grade assessment.

[0071] Step S120 , extracting features of the items to be inspected in the review data, generating a plurality of inspection items and department groups corresponding to each inspection item.

[0072] In one embodiment, since the review data includes multiple items to be inspected, and each hospital department has a corresponding standard score for each item, feature extraction is first performed on the review data to generate multiple inspection items and department groups corresponding to each inspection item. This facilitates subsequent determination of whether each inspection item meets the standard score based on each department group.

[0073] like Figure 2 As shown, feature extraction is performed on the items to be inspected in the review data to generate multiple inspection items and department groups corresponding to each inspection item, including but not limited to the following steps:

[0074] Step S121 : extracting features of a plurality of items to be inspected, and obtaining keywords corresponding to each item to be inspected.

[0075] In one possible embodiment of the present application, a preset extraction model is used to extract features from multiple items to be inspected. The preset extraction model can be a bidirectional long short-term memory network or a recurrent neural network with an attention mechanism. It only needs to be able to extract keywords from the text. This will not be described in detail here. Using the preset extraction model to extract features from multiple items to be inspected can obtain multiple keywords, which is conducive to subsequently obtaining inspection items based on the keywords.

[0076] Step S122: Count the number of occurrences of each keyword to obtain the number of occurrences, and classify each keyword to obtain the department group corresponding to the keyword.

[0077] In one possible embodiment of the present application, based on the keywords obtained in step S121, since the review data is a one-to-one record of the inspection items of each department, for basic inspection items, each inspection department conducts a review. In this case, the keywords obtained above have duplicate items. The greater the number of repetitions, the more basic items are considered basic items. That is, if the number of duplicate keywords is the same as the number of inspection departments, the basic items can be vetoed, which is relatively simple to operate. Items with fewer repetitions are inspection items unique to each inspection department. Therefore, the number of occurrences of each keyword is counted to obtain the number of occurrences, so as to obtain the inspection items unique to each department and facilitate subsequent rectification and upgrades.

[0078] In another possible embodiment of the present application, by classifying each keyword based on the record of each review criterion in the review data, the department grouping corresponding to the keyword can be obtained, that is, under the department grouping, the review criterion corresponding to the keyword corresponds to the corresponding department grouping.

[0079] Step S123: When the number of occurrences is less than the number of inspection departments, the keyword is used as the inspection item to obtain multiple inspection items and department groups corresponding to each inspection item.

[0080] In one possible embodiment of the present application, if the number of occurrences obtained in step S122 is less than the number of inspection departments, it indicates that the inspection item corresponding to the keyword is not a basic item. The keyword is used as the inspection item to obtain multiple inspection items, and then the department grouping corresponding to each inspection item can be obtained. Grouping by inspection item and department facilitates subsequent review of each inspection department.

[0081] Step S130: sending corresponding inspection items to the mobile terminals of multiple inspection departments according to department grouping.

[0082] In another possible embodiment of the present application, according to step S120, a corresponding relationship exists between department groups, inspection departments, and inspection items. According to the department groups, corresponding inspection items are sent to the mobile terminals of multiple inspection departments so that each department can review the inspection items.

[0083] Step S140: receiving the department inspection results returned by the mobile terminals of each inspection department, and automatically performing statistical calculations on the department inspection results to obtain statistical results.

[0084] In one embodiment, the server receives department inspection results from the mobile terminals of each inspection department, including scores for each inspection item, and then automatically calculates and statistically analyzes the department inspection results to obtain statistical results. This statistical result can clearly reflect the evaluation status of each inspection department and facilitate grade assessment.

[0085] like Figure 3 As shown, automatic statistical calculation is performed on the department inspection results to obtain statistical results, including but not limited to the following steps:

[0086] Step S141: Aggregate the data of the department inspection results of each inspection department to obtain a summary result.

[0087] In a possible embodiment of the present application, since there are many departments in the hospital, the department inspection results received from each inspection department are first summarized to obtain summary results, which is conducive to subsequent statistical results based on the summary results and grade assessment.

[0088] Step S142: Perform multi-dimensional analysis on the summary results to obtain statistical results, and display the multi-dimensional relationships in the statistical results.

[0089] In another possible embodiment of the present application, the above summary results aggregate the inspection results of each department, perform multi-dimensional analysis on the summary results through a preset data analysis tool, obtain statistical results, and display the multi-dimensional relationships in the statistical results. The analysis results can clearly display the department inspection results, and for a large amount of data aggregation, it can greatly reduce the manual workload. The preset data analysis tool can be an automatic generation analysis tool for data charts in office documents, or it can be a multi-dimensional analysis relationship automatically generated by a data analysis algorithm to achieve automatic statistics of data. The multi-dimensional analysis relationship can be presented in the form of a multi-dimensional analysis table or a multi-dimensional analysis diagram, so that the department inspection results can be observed at a glance, which is simple and convenient.

[0090] Step S150: Determine the hospital rating based on the statistical results and the standard score.

[0091] In one embodiment, department inspection results are obtained by scoring inspection items on the mobile terminal of each department inspection department. The scores are presented in the form of statistical results. The statistical results are compared with the standard scores. If the statistical results meet the standard scores, it indicates that the inspection item meets the review requirements; if the statistical results do not meet the standard scores, it indicates that the inspection item does not meet the review requirements. Through this comparison, the hospital's rating is comprehensively determined based on whether the statistical results meet the standard scores. This process does not require human intervention, facilitating the inspection and assessment work.

[0092] like Figure 4 As shown, after determining the hospital rating based on the statistical results and standard scores, the hospital rating method further includes but is not limited to the following steps:

[0093] Step S210: Filter out unqualified inspection items based on the statistical results and standard scores.

[0094] In a possible embodiment of the present application, when the statistical results do not meet the inspection score, it indicates that the inspection item in the statistical results does not meet the review requirements, and the unqualified inspection items are screened out so that the mobile terminal can subsequently analyze the reasons for the unqualifiedness and make improvements.

[0095] In step S220, according to the department grouping corresponding to the inspection items, unqualified inspection items are sent to the mobile terminal of the inspection department, so that the mobile terminal of the inspection department displays the unqualified inspection items for improvement.

[0096] In a possible embodiment of the present application, based on the unqualified inspection items screened out in step S210 and the department groups corresponding to the inspection items, the server side sends the unqualified inspection items to the mobile terminal of the inspection department in the department group, so that the mobile terminal of the inspection department can improve the unqualified inspection items so that the department inspection results meet the standard score and prepare for the next grade assessment.

[0097] Reference Figure 5 , Figure 5 3 is a flow chart of a hospital grade assessment method provided in an embodiment of the present application. The hospital grade assessment method is applied to mobile terminals of multiple inspection departments, and includes steps S310 and S320.

[0098] In step S310, each mobile terminal receives the inspection items sent by the server terminal, and the inspection items are obtained by extracting features of the items to be inspected in the review data by the server terminal.

[0099] In one embodiment, the department group may also have multiple inspection departments, each inspection department has a mobile terminal, and each mobile terminal receives the inspection items sent by the server. The inspection items are obtained by extracting features of the items to be inspected in the acquired review data by the server. The review data includes multiple items to be inspected and the standard scores corresponding to each item to be inspected. The review data can be presented in the form of a document. When the review data document is stored locally, the review data can be obtained from the local through a preset file reading interface. When the review data document is stored in the cloud, the document can be read from the cloud to the local through a preset file reading interface, and then the review data can be obtained. When the review data document is in an online reading format, the review data is obtained through a preset crawler interface. It should be noted that when the mobile terminal receives the inspection items, the target object can define the inspection items according to the current situation of the hospital, formulate inspection items that meet the inspection department's requirements, and enter the defined inspection items into the mobile terminal for subsequent use.

[0100] In step S320, the mobile terminal responds to the inspection and review of each inspection item by the target object, and scores the inspection and review to obtain the department inspection results, and sends the department inspection results to the server side, so that the server side automatically performs statistical calculations on the department inspection results to obtain statistical results, and determines the grade assessment results based on the statistical results and the standard scores in the review data.

[0101] In one embodiment, a mobile terminal receives inspection items, and a target subject reviews the corresponding items based on the inspection items. In response to the target subject's inspection and review of each inspection item, the mobile terminal scores the inspection and review to obtain department inspection results, which are expressed as scores. The department inspection results are then sent to a server, which automatically performs statistical calculations on the department inspection results to obtain statistical results. These statistical results clearly reflect the review status of each inspection department, facilitating grading. The department inspection results sent by the mobile terminal are obtained by scoring the inspection items, so the statistical results on the server are also presented in the form of scores. The server compares the statistical results with the standard scores. If the statistical results meet the standard scores, it indicates that the inspection item meets the review requirements; if the statistical results do not meet the standard scores, it indicates that the inspection item does not meet the review requirements. Through this comparison, the hospital's rating is comprehensively determined based on whether the statistical results meet the standard scores. This process requires no human intervention, facilitating inspection and assessment work.

[0102] For example, the target object of the mobile terminal is the inspector, and the inspectors are 7 "internal audit groups". The internal audit groups will conduct on-site inspections in relevant clinical departments according to the inspection items, combine on-site inspections with information systems, and use the mobile terminal's page display to record the inspection situation in a timely manner, which greatly facilitates the inspection and evaluation work. It can also record the inspection items and the inspectors who evaluate the inspection items to ensure fairness and justice.

[0103] like Figure 6 As shown, the mobile terminal responds to the target object's inspection review for each inspection item, and scores the inspection review to obtain the department inspection result, including but not limited to the following steps:

[0104] Step S321 : In response to the target object's inspection and review of each inspection item, the mobile terminal counts the number of words in all inspection and review to obtain the total number of words.

[0105] In a possible embodiment of the present application, after the mobile terminal receives the inspection items, the target object reviews each inspection item based on the inspection items displayed by the mobile terminal. The mobile terminal responds to the target object's inspection and review of each inspection item, counts the number of words in the inspection and review corresponding to all inspection items, and obtains the total number of words, so as to obtain the subjective score value later.

[0106] Step S322: Obtain the score ratio of each word in the inspection review based on the total number of words and the number of inspection departments.

[0107] In one possible embodiment of the present application, the total word count obtained in step S321 is divided by the number of inspection departments to obtain the average word count for each department; the average word count is then divided by the total word count to obtain the score ratio for each word in the inspection review. For example, if there are 40 inspection departments and a total word count of 4,000 words, the average word count is 40 / 4,000 = 100, and the score ratio for each word is 100 / 4,000 = 0.025. Calculating the score ratio facilitates subsequent calculation of the subjective evaluation value.

[0108] Step S323: Obtain a subjective score value based on the score ratio and the number of words in each inspection and review.

[0109] In one possible embodiment of the present application, based on the score ratio obtained in step S322 and given the word count of the inspection review, the subjective score corresponding to each inspection department can be obtained. For example, if an inspection department provides an 800-word review, the corresponding subjective evaluation value for that inspection department is 0.025*800. Calculating the subjective evaluation value on a mobile device allows for quick score calculation, saving time and reducing workload.

[0110] Step S324: Score each inspection item according to the preset evaluation criteria to obtain an objective score.

[0111] In one possible embodiment of the present application, the preset evaluation criteria include four different standards: 80, 40, 0, and not applicable. If the inspection score is not applicable, the subjective score calculation in steps S321 to S323 is not performed. Since the internal audit team is generally divided into seven internal audit teams, the rigor of the review varies from team to team, and some teams may be overly strict or overly lax. Therefore, by scoring each inspection item according to the preset evaluation criteria, an objective score is obtained to improve the accuracy of the review.

[0112] Step S325: linearly combine the subjective score value and the objective score value to obtain the department inspection result.

[0113] In one possible embodiment of the present application, based on the subjective score value obtained in step S323 and the objective score value obtained in step S324, the subjective score value and the objective score value are linearly combined to obtain the department inspection result. The mobile terminal sends the department inspection result to the server terminal for comprehensive grade evaluation calculation. The linear combination of the subjective score value and the objective score value can be performed by directly adding the subjective score value and the objective score value, that is, the combination coefficient of the subjective score value and the objective score value is 1 to obtain the department inspection result; the combination coefficient can also be 0.4 and 0.6, or other values ​​can be set as needed, which will not be detailed here.

[0114] like Figure 7 As shown, after the mobile terminal responds to the target object's inspection and review of each inspection item, the mobile terminal scores the inspection and review, obtains the department inspection result, and sends the department inspection result to the server, the hospital grade assessment method further includes but is not limited to the following steps:

[0115] Step S410: receiving unqualified inspection items sent by the server.

[0116] In a possible embodiment of the present application, the mobile terminal receives unqualified inspection items sent by the server. The inspection items are unqualified inspection items screened out by the server when the statistical results do not meet the inspection score, indicating that the inspection items in the statistical results do not meet the review requirements, so that the mobile terminal can subsequently analyze the reasons for the unqualified items and make improvements.

[0117] Step S420: Improve the unqualified inspection items so that the department inspection results meet the inspection score.

[0118] In one possible embodiment of the present application, based on the unqualified inspection items received in step S410, the mobile terminal displays the unqualified inspection items. By viewing the inspection item details, the unqualified inspection items can be improved to ensure that the department inspection results meet the standard score and prepare for the next grade assessment. Based on the unqualified inspection items, weak departments can be identified and targeted rectification can be carried out. Multiple rounds of inspections are supported, and gaps are continuously identified and addressed, meeting the hospital's cyclical improvement needs.

[0119] like Figure 8As shown, the present application also provides a server end 110, which obtains review data through a data acquisition module 111, and the review data includes multiple items to be inspected and standard scores corresponding to each item to be inspected; a data processing module 112 is used to extract features of the items to be inspected in the review data, and generate multiple inspection items and department groups corresponding to each inspection item. By automatically generating inspection items and department groups corresponding to the inspection items, human resources can be effectively saved; a first sending module 113 is used to send corresponding inspection items to mobile terminals of multiple inspection departments according to department groups; a first receiving module 114 is used to receive department inspection results returned by the mobile terminals of each inspection department, and a statistical analysis module 115 is used to automatically perform statistical calculations on the department inspection results to obtain statistical results. According to the statistical results, it is easier to obtain the hospital evaluation grade, further saving human resources; a grade evaluation module 116 is used to determine the hospital evaluation grade according to the statistical results and standard scores. A mobile terminal 120 is also provided, which is applied to multiple inspection departments. The mobile terminal 120 of each inspection department receives the inspection items sent by the server through the second receiving module 121. The inspection items are obtained by the server performing feature extraction on the items to be inspected in the review data; through the inspection module 122, the mobile terminal responds to the inspection and review of each inspection item by the target object, and the mobile terminal scores the inspection and review to obtain the department inspection result, and sends the department inspection result to the server, so that the server automatically performs statistical calculations on the department inspection result to obtain statistical results, and determines the hospital assessment level based on the statistical results and the standard score in the review data.

[0120] It should be noted that the data acquisition module 111 is connected to the data processing module 112, the data processing module 112 is connected to the first sending module 113, the first sending module 113 is connected to the second receiving module 121 and the first receiving module 114 respectively, the second receiving module 121 is connected to the inspection module 122, the inspection module 122 is connected to the second sending module 123, the second sending module 123 is connected to the first receiving module 114, the first receiving module 114 is connected to the statistical analysis module 115, and the statistical analysis module 115 is connected to the grade assessment module 116. The server end 110 and the mobile end 120 of the above-mentioned hospital grade assessment method obtain inspection items by extracting features, review each department according to the inspection items, and automatically analyze the results, thereby simplifying the review process of each department, reducing personnel participation, and greatly facilitating the inspection work of the management department.

[0121] It should also be noted that the above embodiments provide devices that implement their functions using only the division of the above functional modules as examples. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0122] This application also discloses an electronic device. Figure 9 , Figure 9 Schematic diagram of the structure of an electronic device disclosed in an embodiment of the present application. The electronic device 500 may include: at least one processor 501, at least one network interface 504, a user interface 503, a memory 505, and at least one communication bus 502.

[0123] The communication bus 502 is used to implement the connection and communication between these components.

[0124] The user interface 503 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 503 may also include a standard wired interface and a wireless interface.

[0125] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0126] The processor 501 may include one or more processing cores. Using various interfaces and circuits, the processor 501 connects to various components within the server. It executes instructions, programs, code sets, or instruction sets stored in the memory 505, as well as accesses data stored in the memory 505, to perform various server functions and process data. Optionally, the processor 501 may be implemented using at least one of the following hardware forms: a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). The processor 501 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing content displayed on the display screen; and the modem handles wireless communications. It is understood that the modem may also be implemented as a separate chip, rather than integrated into the processor 501.

[0127] Among them, the memory 505 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 505 includes a non-transitory computer-readable storage medium. The memory 505 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 505 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 505 may also be optionally at least one storage device located away from the aforementioned processor 501. Reference Figure 9 , the memory 505 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a hospital grade assessment method.

[0128] exist Figure 9In the electronic device 500 shown, the user interface 503 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 501 can be used to call an application program stored in the memory 505 for a hospital grade assessment method. When executed by one or more processors 501, the electronic device 500 executes one or more methods in the above-mentioned embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should know that this application is not limited to the described order of actions, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for this application.

[0129] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0130] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic, such as the division of units, which is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interface, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0131] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0132] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0133] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of this application. The aforementioned memory includes various media that can store program code, such as USB flash drives, mobile hard drives, magnetic disks, or optical disks.

[0134] The above are merely exemplary embodiments of the present disclosure and are not intended to limit the scope of the present disclosure. In other words, any equivalent variations and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the disclosure and the practical implications thereof.

[0135] This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not described herein. The description and examples are to be considered as exemplary only, and the scope and spirit of the present disclosure are to be defined by the claims.

Claims

1. A hospital grade assessment method, characterized in that: Applied to the server side, the method includes: Acquiring review data, the review data including a plurality of items to be inspected and a standard score corresponding to each of the items to be inspected; Performing feature extraction on the items to be inspected in the review data to generate a plurality of inspection items and department groups corresponding to each of the inspection items; said performing feature extraction on the items to be inspected in the review data to generate a plurality of inspection items and department groups corresponding to each of the inspection items, including: performing feature extraction on the plurality of items to be inspected to obtain keywords corresponding to each of the items to be inspected; performing statistics on the number of occurrences of each of the keywords to obtain the number of occurrences, and classifying each of the keywords to obtain the department groups corresponding to the keywords; in the case where the number of occurrences is less than the number of inspected departments, using the keywords as the inspection items to distinguish between inspection items based on department grouping and inspection items specific to department grouping, to obtain a plurality of inspection items and the department groups corresponding to each of the inspection items; According to the department grouping, the corresponding inspection items are sent to the mobile terminals of multiple inspection departments; receiving the department inspection results returned by the mobile terminals of the inspection departments, and automatically performing statistical calculations on the department inspection results to obtain statistical results; the automatic statistical calculations on the department inspection results to obtain statistical results include: aggregating data on the department inspection results of the inspection departments to obtain a summary result; performing multi-dimensional analysis on the summary result to obtain a statistical result, and displaying the multi-dimensional relationship in the statistical result; The hospital evaluation grade is determined based on the statistical results and the standard scores; after the hospital evaluation grade is determined based on the statistical results and the standard scores, unqualified inspection items are screened out based on the statistical results and the standard scores; according to the department grouping corresponding to the inspection items, the unqualified inspection items are sent to the mobile terminal of the inspection department, so that the mobile terminal of the inspection department displays the unqualified inspection items for improvement.

2. A hospital grade assessment method, characterized in that: Applied to the mobile terminals of multiple inspection departments, the method includes: Each of the mobile terminals receives the inspection items and the department groups corresponding to the inspection items sent by the server terminal, the inspection items and the department groups being obtained by the server terminal performing feature extraction on the items to be inspected in the review data, the server terminal performing feature extraction on the items to be inspected in the review data, including performing feature extraction on a plurality of the items to be inspected to obtain keywords corresponding to each of the items to be inspected; counting the number of occurrences of each of the keywords to obtain the number of occurrences, and classifying each of the keywords to obtain the department groups corresponding to the keywords; in the case where the number of occurrences is less than the number of inspected departments, the keyword is used as the inspection item to distinguish between inspection items based on department grouping and inspection items specific to department grouping; The mobile terminal responds to the target object's inspection and review of each of the inspection items, scores the inspection and review to obtain a department inspection result, and sends the department inspection result to the server, so that the server automatically performs statistical calculations on the department inspection result to obtain a statistical result, and determines the hospital evaluation grade based on the statistical result and the standard score in the review data; the mobile terminal responds to the target object's inspection and review of each of the inspection items, scores the inspection and review to obtain a department inspection result, including: In response to the target subject's inspection and review of each of the inspection items, the mobile terminal counts the number of words in all the inspection and review items to obtain a total number of words; Divide the total number of words by the number of inspection departments to obtain the average number of words in each department; divide the average number of words by the total number of words to obtain the score ratio of each word in the inspection review; Obtaining a subjective score value based on the score ratio and the number of words in each of the inspection and review; According to the preset evaluation criteria, each inspection item is scored to obtain an objective score value; linearly combining the subjective score value and the objective score value to obtain the department inspection result; in response to the target object's inspection review of each inspection item, the mobile terminal scores the inspection review to obtain the department inspection result, and after sending the department inspection result to the server, receives the unqualified inspection items sent by the server; The unqualified inspection items are displayed so as to improve the unqualified inspection items.

3. A server side, characterized in that: include: A data acquisition module is used to acquire review data, wherein the review data includes a plurality of items to be inspected and a standard score corresponding to each of the items to be inspected; A data processing module is used to extract features from the items to be inspected in the review data to generate multiple inspection items and department groups corresponding to each inspection item; the extracting features from the items to be inspected in the review data to generate multiple inspection items and department groups corresponding to each inspection item includes: extracting features from the multiple items to be inspected to obtain keywords corresponding to each item to be inspected; counting the number of occurrences of each keyword to obtain the number of occurrences, and classifying each keyword to obtain the department groups corresponding to the keyword; when the number of occurrences is less than the number of inspected departments, using the keyword as the inspection item to distinguish between inspection items based on department grouping and inspection items unique to department grouping, to obtain multiple inspection items and department groups corresponding to each inspection item; A first sending module is used to send the corresponding inspection items to the mobile terminals of multiple inspection departments according to the department grouping; The first receiving module is configured to receive the department inspection results returned by the mobile terminal of each of the inspection departments, and the statistical analysis module is configured to automatically perform statistical calculations on the department inspection results to obtain statistical results; the automatic statistical calculations on the department inspection results to obtain statistical results include: aggregating the department inspection results of each of the inspection departments to obtain a summary result; performing multi-dimensional analysis on the summary result to obtain a statistical result, and displaying the multi-dimensional relationship in the statistical result; The grade assessment module is used to determine the hospital assessment grade based on the statistical results and the standard scores; after determining the hospital assessment grade based on the statistical results and the standard scores, screen out unqualified inspection items based on the statistical results and the standard scores; according to the department grouping corresponding to the inspection items, send the unqualified inspection items to the mobile terminal of the inspection department, so that the mobile terminal of the inspection department displays the unqualified inspection items for improvement.

4. A mobile terminal, characterized in that: Applied to multiple inspection departments, including: A second receiving module is configured for each of the mobile terminals to receive the inspection items and the department groups corresponding to the inspection items sent by the server terminal, wherein the inspection items and the department groups are obtained by the server terminal performing feature extraction on the items to be inspected in the review data, wherein the server terminal performs feature extraction on the items to be inspected in the review data, including performing feature extraction on a plurality of the items to be inspected to obtain keywords corresponding to each of the items to be inspected; counting the number of occurrences of each of the keywords to obtain the number of occurrences, and classifying each of the keywords to obtain the department groups corresponding to the keywords; and when the number of occurrences is less than the number of inspected departments, using the keywords as the inspection items to distinguish between inspection items based on department groups and inspection items specific to department groups; An inspection module is configured for the mobile terminal to respond to the inspection and review of each inspection item by the target object, and the mobile terminal to score the inspection and review to obtain a department inspection result. A second sending module is configured to send the department inspection result to the server terminal, so that the server terminal automatically performs statistical calculations on the department inspection result to obtain a statistical result, and determines the hospital evaluation level based on the statistical result and the standard score in the review data. The mobile terminal responds to the inspection and review of each inspection item by the target object, and the mobile terminal scores the inspection and review to obtain a department inspection result, including: In response to the target subject's inspection and review of each of the inspection items, the mobile terminal counts the number of words in all the inspection and review items to obtain a total number of words; Divide the total number of words by the number of inspection departments to obtain the average number of words in each department; divide the average number of words by the total number of words to obtain the score ratio of each word in the inspection review; Obtaining a subjective score value based on the score ratio and the number of words in each of the inspection and review; According to the preset evaluation criteria, each inspection item is scored to obtain an objective score value; linearly combining the subjective score value and the objective score value to obtain the department inspection result; in response to the target object's inspection review of each inspection item, the mobile terminal scores the inspection review to obtain the department inspection result, and after sending the department inspection result to the server, receives the unqualified inspection items sent by the server; The unqualified inspection items are displayed so as to improve the unqualified inspection items.

5. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 2 is executed.

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