Nurse repair information management method and related equipment

Abstract

The invention discloses a nurse repair information management method and related equipment. The method comprises the following steps: receiving a repair application submitted by a foreign hospital nurse user, wherein the repair application comprises nurse information and an application proof file; receiving an auditing result of the repair application in the hospital, and predicting the type and number of work clothes required during the repair period based on the proposing time of the repair application and the duration of the repair application when the auditing is passed; and calculating repair expense information of the foreign hospital nurse user, wherein the repair expense information comprises work clothes expense. The problems that a traditional nurse repair management process depends on paper files and manual process processing, management is complex, data are prone to being lost or damaged, and the management difficulty is increased can be solved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart medical care, and more specifically, the present invention relates to a nurse training information management method and related equipment. Background Art

[0002] The traditional management process of nurse training often relies on paper documents and manual process processing. From application to review, admission, training, completion, certification and other links, paper records are required, which not only increases the complexity of management, but also easily leads to data loss or damage. In traditional management, reminders at each node often rely on manual operations, which are prone to omissions or delays, affecting the overall progress. The review process in the existing system is usually carried out after the trainees arrive, which easily leads to incomplete or non-compliant information, increasing the difficulty of management. Summary of the invention

[0003] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0004] In order to solve the problem that the traditional nurse training management process relies on paper documents and manual process processing, the management is complicated, and it is easy to cause the loss or damage of data, which increases the difficulty of management, in the first aspect, the present invention proposes a nurse training information management method, the above method includes:

[0005] Receive training applications submitted by nurses from other hospitals, the training applications including nurse information and application certification documents;

[0006] Receive the results of the internal review of the training application, and if the review is passed, predict the type and quantity of uniforms required during the training period based on the time of submission of the training application and the duration of the training application;

[0007] The further education expense information of the external hospital nurse user is calculated, and the further education expense information includes the cost of work clothes.

[0008] Optionally, the further study application further includes application department information, and the method further includes:

[0009] Based on the application department information, the type and quantity of work uniforms required during the process are matched for the external hospital nurse user.

[0010] Optionally, the predicting of the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the training application includes:

[0011] Determine the seasonal span of the training period based on the time of application and duration of the training;

[0012] The types and quantities of work clothes required during the training period are predicted based on the season span information.

[0013] Optionally, the predicting of the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the training application further includes:

[0014] Predict the temperature range during the training period based on the time of application and duration of training;

[0015] Predict the type and quantity of work clothes required during training based on the temperature range information.

[0016] Optionally, also include:

[0017] If the application is approved, training materials related to the further study direction will be sent to the user terminal of the external hospital nurse user.

[0018] Optionally, also include:

[0019] Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user;

[0020] Extract the seal image in each certification document and compare and analyze it with the seal data of the target foreign hospital in the seal database;

[0021] In the case where the seal image in the certification document does not match the seal data of the target external hospital in the seal database, a certification document forgery prompt message is generated to assist the internal review.

[0022] Optionally, also include:

[0023] Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user;

[0024] Extracting angle data of the seal image in each certification document relative to the certification document to which it belongs;

[0025] When the seal image in each certification document has no difference in angle data relative to the certification document to which it belongs, a certification document forgery prompt message is generated to assist in the in-hospital review.

[0026] In a second aspect, the present invention further provides a nurse training information management device, comprising:

[0027] A receiving unit, used to receive a training application submitted by a nurse user from an external hospital, wherein the training application includes nurse information and application certification documents;

[0028] An audit unit is used to receive the audit result of the training application within the hospital, and if the audit is passed, predict the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the training application;

[0029] The calculation unit is used to calculate the further education expense information of the external hospital nurse user, wherein the further education expense information includes the work uniform expense.

[0030] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the nurse training information management method as described in any one of the above-mentioned first aspect when executing the computer program stored in the memory.

[0031] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for managing nurse training information according to any one of the above items in the first aspect is implemented.

[0032] In summary, the nurse training information management method proposed in this application receives the training application submitted by the nurse user of the external hospital, and the training application includes the nurse information and the application certification document; receives the review result of the training application in the hospital, and if the review is passed, predicts the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the application for training; calculates the training cost information of the nurse user of the external hospital, and the training cost information includes the cost of work clothes. Thus, the lag of paper submission is avoided, and nurses can submit applications anytime and anywhere. Electronic data can be automatically backed up to avoid the loss and damage of paper materials. After the application is submitted, the system can automatically generate a tracking number to facilitate subsequent review, progress inquiry, etc. The system automatically notifies and receives the review results, avoiding the lag of manual delivery of documents. Unqualified applications can be notified to the applicant in real time through the system, improving the speed of problem feedback and modification. Avoid waste or shortage of work clothes, and ensure that nurses can be normally equipped with work clothes during training. Reduce manual intervention, and the material management department can automatically receive the work clothes preparation task. From application to review, uniform distribution to cost calculation, the entire process is highly automated, avoiding the tedious and error-prone problems of traditional paper documents. Nurses can view application progress, cost details and other relevant information in real time through the system, improving user experience and management efficiency. By predicting the demand for uniforms and other materials, hospitals can better manage materials and avoid wasting resources.

[0033] The nurse training information management method of the present invention, and other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will be understood by technical personnel in the field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0035] Figure 1 A flowchart of a method for managing nurse training information provided in an embodiment of the present application;

[0036] Figure 2 A schematic diagram of the structure of a nurse training information management device provided in an embodiment of the present application;

[0037] Figure 3 A schematic diagram of the structure of an electronic device for managing nurse training information provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0039] In order to solve the problem that the traditional nurse training management process relies on paper documents and manual process processing, the management is complicated, and it is easy to cause data loss or damage, which increases the difficulty of management, please refer to Figure 1 , is a flow chart of a nurse training information management method provided in an embodiment of the present application, which may specifically include: steps S110 to S130.

[0040] S110, receiving a training application submitted by a nurse user from an external hospital, wherein the training application includes nurse information and application certification documents.

[0041] Understandably, this step is intended to automate the submission process through digital means. Nurses can fill out and submit their training applications online, avoiding the cumbersome and easily lost paper documents. By entering the nurse's basic information (such as name, work number, ID card, etc.) and uploading the required application documents (such as hospital introduction letter, nurse practice certificate, etc.), this information will be automatically stored in the database.

[0042] For example, nurses from other hospitals can fill in and submit application forms online through a special training information management system, and the front end of the system can use a web or mobile application. The application form will have preset format requirements, such as file type, size, etc., to ensure the standardization of uploaded files. After submission, the system will automatically generate a unique application number for subsequent review tracking and management. In this way, the lag of paper submission is avoided, and nurses can submit applications anytime and anywhere. Electronic data can be automatically backed up to avoid the loss and damage of paper materials. After the application is submitted, the system can automatically generate a tracking number to facilitate subsequent review, progress inquiry, etc.

[0043] S120, receiving the review result of the training application in the hospital, and if the review is passed, predicting the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the training application.

[0044] It is understandable that after receiving the training application, the system will push the application information to the corresponding department or training management department in the hospital for review. The review department can view the nurse's submission information through the system, check the validity and completeness of their application documents, and feedback the review results through the system.

[0045] For example, the system will push the review task to the relevant reviewers through email or internal notification of the system. The reviewer checks the submitted materials online and clicks "pass" after confirming that they are correct. If the materials do not meet the requirements, the reviewer can mark the problem and ask the applicant to resubmit supplementary materials. In this way, the system automatically notifies and receives the review results, avoiding the lag of manual delivery of documents. Unqualified applications can be notified to applicants in real time through the system, which improves the speed of problem feedback and modification.

[0046] It is understandable that the system automatically calculates the type and quantity of work clothes required based on the training time applied by the nurse and the requirements of the department. For example, different departments (such as operating rooms, ICUs, etc.) have different requirements for work clothes, and the training time also affects the allocation of the number of work clothes. This step predicts and allocates work clothes by combining the training time of nurses and the standardized requirements of the hospital.

[0047] For example, the system will automatically generate a list of required uniforms based on the training duration entered in the training application, combined with the clothing requirements of the department (such as long or short sleeves, disinfection suits, etc.) and the standard for the use of uniforms, and notify the material management department to prepare the corresponding uniforms for the training nurses. In this way, the waste or shortage of uniforms is avoided, ensuring that nurses can be properly equipped with uniforms during the training period. Manual intervention is reduced, and the material management department can automatically receive uniform preparation tasks.

[0048] For example, if you choose to study in the ICU, the system will automatically match green tops and bottoms; if you choose the operating room, the system will automatically prompt that you do not need to buy work clothes. At the same time, according to the time of the trainee's arrival and the total duration of the training, the system will automatically match winter clothes or summer clothes. If you choose to report in July, the system will automatically match summer clothes; if you choose November, it will automatically match winter clothes; if the total duration of the training spans both winter and summer (the system sets June to October as summer and the rest of the time as winter), the system will automatically match 2 sets of winter clothes and 2 sets of summer clothes.

[0049] S130, calculating the further education expense information of the external hospital nurse user, wherein the further education expense information includes work uniform expenses.

[0050] For example, the training fee information includes not only the work and clothing fees but also the teaching fees. The system can automatically match whether the trainee's unit is an alliance hospital. If so, the system will automatically identify and match it, and prompt the applicant to pay 0 yuan. If not, the training fee will be automatically calculated based on the applicant's training duration, such as a standard monthly fee of 300 yuan, and a total of 900 yuan for 3 months of training.

[0051] It is understandable that the cost calculation is based on the nurse's training time, the use of work clothes and other possible expenses (such as board and lodging, training materials, etc.). The system automatically calculates the total cost of the nurse's training through the preset cost standard and generates a detailed cost list.

[0052] For example, the training information management system presets standards for various fees, such as uniform fees, accommodation fees, training fees, etc. The system will automatically calculate the fees and generate an electronic bill based on the information filled in the nurse's training application. The bill will notify the nurse to pay through the system, or directly connect to the hospital's financial system to generate a payment task. As a result, the fee details are clear, and nurses can clearly see the various charging items, reducing financial disputes. It avoids errors in manual fee calculation and improves efficiency and accuracy.

[0053] In some examples, the system can realize the online office of the whole process of nurse training application-review-enrollment-training-completion-certification, which basically realizes paperless. The system can be logged in and used in the extranet environment, and the administrator can work anytime and anywhere to improve efficiency. The system can remind the operator of each node through mobile phone text messages to avoid omissions and improve efficiency. Each node of training management is recorded in the system. The original data of each assessment and evaluation record of trainees can be uploaded and saved in the system, or downloaded and saved, which solves the problem of paper data loss in the past. The administrator can review the applicant's information in advance before the trainee reports, and remind them to improve it in time. According to the needs of the administrator, the situation of trainees in different time periods and different specialties can be counted on demand, and the demographic characteristics of trainees can also be statistically analyzed, such as gender, age, professional title, education, position, specialty field, training direction, hospital level, whether it is an alliance unit, training results, training performance, etc., to facilitate the improvement of management work.

[0054] For example, the trainee management system and the logistics management system can be connected to achieve the following two functions: ① The logistics department can dynamically check the application status of trainees in advance (including department, number, gender, etc.) and prepare sufficient work clothes and other materials in advance; ② After the administrator confirms that the trainee has reported in the trainee registration system, the data is automatically linked to the logistics management system. The logistics staff can clearly view the number, style, payment and other information of the trainee's work clothes in the system to ensure accurate and efficient distribution of items.

[0055] In summary, the nurse training information management method provided in the embodiment of the present application receives the training application submitted by the nurse user of the external hospital, and the training application includes the nurse information and the application certification document; receives the review result of the training application in the hospital, and if the review is passed, predicts the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the application for training; calculates the training fee information of the nurse user of the external hospital, and the training fee information includes the cost of work clothes. Thus, the lag of paper submission is avoided, and nurses can submit applications anytime and anywhere. Electronic data can be automatically backed up to avoid the loss and damage of paper materials. After the application is submitted, the system can automatically generate a tracking number to facilitate subsequent review, progress inquiry, etc. The system automatically notifies and receives the review results, avoiding the lag of manual delivery of documents. Unqualified applications can be notified to the applicant in real time through the system, improving the speed of problem feedback and modification. Avoid waste or shortage of work clothes, and ensure that nurses can be properly equipped with work clothes during the training period. Reduce manual intervention, and the material management department can automatically receive the work clothes preparation task. From application to review, uniform distribution to cost calculation, the entire process is highly automated, avoiding the tedious and error-prone problems of traditional paper documents. Nurses can view application progress, cost details and other relevant information in real time through the system, improving user experience and management efficiency. By predicting the demand for uniforms and other materials, hospitals can better manage materials and avoid wasting resources.

[0056] According to some embodiments, the further study application further includes application department information, and the method further includes:

[0057] Based on the application department information, the type and quantity of work uniforms required during the process are matched for the external hospital nurse user.

[0058] It is understandable that different departments have different requirements for work clothes, such as sterile clothes may be required in the operating room, special protective clothing may be required in the ICU, etc. Through the department information filled in by the nurse in the application, the system can automatically query the work clothes standards of the department, and accurately predict the type and quantity of work clothes required based on the length of training.

[0059] For example, the training application form will include a department selection option, and the system will extract the type of work clothes required by the department (such as sterile surgical gowns, protective clothing, etc.) from the background database based on the corresponding work clothes requirements of the department. The system will also calculate the appropriate number of work clothes based on the duration of the training and the standards for the use of hospital supplies. In this way, the system can accurately match work clothes according to the special needs of different departments to avoid problems such as inappropriate work clothes types or insufficient quantities. The automatic matching of work clothes types and quantities reduces the complexity of human resource management and ensures the efficient allocation of materials.

[0060] For example, if you choose to study in the neonatal ward, the system will automatically match purple tops and bottoms, and a colorful round hat; if you choose the respiratory medicine ward, it will automatically match the regular white nurse uniform, white swallowtail hat, etc.

[0061] For example, some special departments (such as constant temperature laboratories and specific operating rooms) are maintained at a specific temperature throughout the year, so the choice of work clothes type should be adapted to the temperature environment and not affected by the duration of training. According to the department information, the system will automatically determine whether the department is a constant temperature department and match the nurse with a suitable type of work clothes. In the application for training, the system queries the background database based on the department information to determine whether the department is a constant temperature environment. If the department is in a constant temperature state, the system will automatically select the appropriate type of work clothes (such as light and breathable clothing) according to the temperature of the constant temperature environment. The duration of training will not affect the allocation of the number of work clothes, and the department's needs will give priority to determining the type of work clothes required. For example, the choice of work clothes type is more targeted, ensuring that nurses can maintain comfort and work efficiency when working in a constant temperature environment. The system no longer calculates the number of work clothes based on the duration, thereby reducing unnecessary waste of materials and ensuring the practicality of work clothes. For example, nurse C applied for training in a constant temperature laboratory, which is maintained at 24°C throughout the year. After the system detects that the environment is in a constant temperature state, it automatically assigns nurse C a thin and light protective clothing suitable for that temperature, without being restricted by the length of training.

[0062] In some examples, the method of predicting the type and quantity of work clothes required during the training period based on the time of submitting the training application and the duration of the training application includes:

[0063] Determine the seasonal span of the training period based on the time of application and duration of the training;

[0064] The types and quantities of work clothes required during the training period are predicted based on the season span information.

[0065] It is understandable that the duration of the training application may span multiple seasons, and the demand for work clothes in different seasons is different. By analyzing the time of application and the duration of training, the system can determine the seasons spanned by the training period, and based on the seasonal temperature changes, recommend different types and quantities of work clothes to ensure the comfort of the training nurses in different climatic conditions.

[0066] Exemplarily, after receiving the application for further training, the system will calculate the seasonal span of the further training period according to the start time of the application and the duration of the further training. For example, if the application start time is September and the duration of the further training is 6 months, the system will determine that the further training spans the autumn and winter seasons. Based on this information, the system will allocate clothing suitable for the autumn and winter seasons to the nurses, such as thickened cold-proof clothing, and allocate different numbers of work clothes according to seasonal changes. Thus, the choice of work clothes can be adjusted according to seasonal changes to ensure the adaptability of nurses in different climatic conditions. The prediction of the seasonal span can avoid excessive or insufficient preparation of work clothes and reasonably allocate resources. For example, nurse D applied for a 6-month operating room further training starting in October. The system detected that the further training period spanned the autumn and winter seasons, and automatically allocated thick work clothes suitable for cold weather and light surgical clothes suitable for warm weather to ensure the reasonable satisfaction of different seasonal needs.

[0067] In some examples, the predicting the type and quantity of work clothes required during the training period based on the time of submitting the training application and the duration of the training application further includes:

[0068] Predict the temperature range during the training period based on the time of application and duration of training;

[0069] Predict the type and quantity of work clothes required during training based on the temperature range information.

[0070] It is understandable that the temperature varies greatly in different regions and at different times, and it may not be possible to fully accurately predict the type of uniforms required by nurses based solely on seasonal information. Therefore, the system will further predict the temperature range during the training period based on the time and duration of the training application, and allocate the appropriate type and quantity of uniforms based on the temperature information.

[0071] Exemplarily, after receiving the application for further training, the system predicts the temperature range during the further training period by querying the meteorological data, combining the application time and the climatic conditions of the hospital area. For example, if the further training period is from March to August, the system will predict the temperature fluctuations during this period (such as from 10°C to 35°C), and adjust the distribution of work clothes according to the temperature changes, such as preparing light protective clothing in hotter months and preparing cold-proof work clothes in colder months. Thus, through the prediction of the temperature range, the system can provide a work clothes distribution plan that is more in line with the actual temperature, avoiding the limitations of relying solely on seasonal information. Work clothes are selected according to the specific temperature range to ensure that nurses can get the most suitable work clothes regardless of how the temperature changes during the further training period. For example, nurse E applied for further training from February to July. The system predicted that the temperature range was between 0°C and 30°C based on local meteorological data, and automatically allocated a variety of work clothes that adapt to the temperature difference, including cold-proof clothing and breathable protective clothing, to ensure that there are suitable work clothes in cold and hot weather.

[0072] The system can be upgraded to a multifunctional integrated platform of "study management - study training - scientific research", integrating the trainee training function, including publishing trainee training notice information (posters, notices, etc.), training materials (courseware, videos, etc.), and trainee study attendance clocking in. "Scientific research" module: provides a platform to publish scientific research cooperation intention solicitation, research project participation invitation, etc.

[0073] In some examples, this also includes:

[0074] If the application is approved, training materials related to the further study direction will be sent to the user terminal of the external hospital nurse user.

[0075] It is understandable that after passing the review, nurses need to familiarize themselves with the professional knowledge and operating specifications during the training period in advance. The system will automatically push relevant training materials, including video tutorials, operating manuals, etc., according to the nurse's training direction, to help nurses learn and prepare before training.

[0076] For example, after the application for further training is approved, the system automatically matches relevant training materials from the database according to the department and direction of further training applied by the nurse, and pushes these materials through the nurse's user terminal (such as mobile APP or web page). Nurses can check and download in advance to ensure that they have the required knowledge reserves before entering the department. Therefore, by automatically pushing relevant materials, nurses can be fully prepared before further training to avoid affecting efficiency due to unfamiliarity with operations after taking up their posts. The system can provide targeted learning materials based on specific further training directions to help nurses better cope with professional challenges during further training.

[0077] Understandably, the system will analyze the theoretical content that the nurse has recently learned, and check the medical orders of the current patients in the training department in real time, find the medical order tasks related to the nurse's learning content, and automatically arrange the nurse to participate in the practice. This method can ensure that the nurse will get the corresponding practical operation opportunity immediately after learning a certain theoretical knowledge or operation process.

[0078] For example, the system will record the training materials that the nurse has recently browsed and studied, including specific operation procedures, nursing methods, etc. The system will automatically obtain the medical orders of the patients currently admitted to the training department, and identify the nursing operations, treatment items, etc. involved. The system matches the content learned by the nurse with the medical orders. When a task that matches the content just learned by the nurse is found, the system will automatically assign the task to the nurse and notify her to participate in the practical operation. As a result, the theory and practice are quickly connected: after learning a certain theoretical knowledge, the nurse can immediately apply what they have learned in actual work, thereby improving the speed and effect of mastering skills. The system can automatically match the learning content and medical orders, reduce the complexity of manual arrangements, and ensure that nurses get more practical opportunities. Nurses can practice immediately after learning, which can not only deepen their understanding of knowledge, but also increase their sense of participation and achievement during the training period. For example, nurse J has just learned the theoretical knowledge of tracheotomy nursing. The system monitors that there is a patient who has just undergone tracheotomy in the department, and there are related nursing operations in the medical orders. The system automatically assigns the task to nurse J, allowing her to apply the nursing skills she has just learned in actual scenarios to improve her practical ability of skills. This program closely combines theory with practice, helping nurses quickly transform knowledge into practical skills and effectively improving the quality and efficiency of further training.

[0079] In some examples, this also includes:

[0080] Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user;

[0081] Extract the seal image in each certification document and compare and analyze it with the seal data of the target foreign hospital in the seal database;

[0082] In the case where the seal image in the certification document does not match the seal data of the target external hospital in the seal database, a certification document forgery prompt message is generated to assist the internal review.

[0083] It is understood that application documents usually include a certificate with a hospital seal. To prevent forgery, the system automatically extracts the seal image in each application document and compares it with the external hospital seal data stored in the system database to confirm its authenticity. If the seal does not match, the system will generate a warning prompt to assist the hospital auditors to detect potential forgery.

[0084] For example, when a nurse submits an application for further training, the system will obtain the certification documents uploaded by the nurse and extract the seal information in the document through image recognition technology. The system will compare the official seal data of the foreign hospital in the background database and analyze the shape, size, color and other characteristics of the seal. If a mismatch is found, the system will generate a "forgery prompt message" and push it to the auditor for further review and confirmation. Therefore, through automated seal comparison, human audit omissions can be effectively reduced and the security of document review can be improved. The system can quickly identify forged documents, prevent false certificates from entering the training process, and ensure the authenticity of the qualifications of trainees.

[0085] In some examples, this also includes:

[0086] Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user;

[0087] Extracting angle data of the seal image in each certification document relative to the certification document to which it belongs;

[0088] When the seal image in each certification document has no difference in angle data relative to the certification document to which it belongs, a certification document forgery prompt message is generated to assist in the in-hospital review.

[0089] It is understandable that the seal on each certificate will usually have a different angle when stamped due to differences in manual operation. If the seal angles on multiple certificates are exactly the same, it may indicate that these documents were generated by copying rather than actual stamping. The system analyzes the seal angle of each certificate to determine whether there is consistency in the angle, and generates a forgery prompt based on the consistency.

[0090] Exemplarily, after obtaining the certification documents, the system extracts the angle data of the seal relative to its text in each file and compares them. If the seal angle data in multiple files is exactly the same, the system will generate a "forgery prompt message" to prompt the auditor that the file may be suspected of forgery. The comparison process relies on image analysis and angle measurement technology. Therefore, by comparing the seal angles, the system can identify documents forged by simple copying and pasting, further improving the reliability of document review. For some high-imitation documents forged by image processing technology, the system can detect their authenticity through subtle angle differences. For example, nurse H submitted multiple certification documents issued by other hospitals. The system extracted the angle data of the seal in each document and found that the seal angles of all documents were exactly the same. The system generated a "forgery document prompt" to prompt the auditor that there may be forgery.

[0091] See also Figure 2, an embodiment of the nurse training information management device in the embodiment of the present application may include:

[0092] The receiving unit 21 is used to receive a training application submitted by a nurse user from an external hospital, wherein the training application includes nurse information and application certification documents;

[0093] The review unit 22 is used to receive the review result of the further study application in the hospital, and if the review is passed, predict the type and quantity of work clothes required during the further study period based on the time of submission of the further study application and the duration of the further study application;

[0094] The calculation unit 23 is used to calculate the further education expense information of the external hospital nurse user, and the further education expense information includes the work uniform expense.

[0095] In summary, the nurse training information management device provided in the embodiment of the present application receives the training application submitted by the nurse user of the external hospital, and the training application includes the nurse information and the application certification document; receives the review result of the training application in the hospital, and if the review is passed, predicts the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the application for training; calculates the training cost information of the nurse user of the external hospital, and the training cost information includes the cost of work clothes. Thus, the lag of paper submission is avoided, and nurses can submit applications anytime and anywhere. Electronic data can be automatically backed up to avoid the loss and damage of paper materials. After the application is submitted, the system can automatically generate a tracking number to facilitate subsequent review, progress inquiry, etc. The system automatically notifies and receives the review results, avoiding the lag of manual delivery of documents. Unqualified applications can be notified to the applicant in real time through the system, improving the speed of problem feedback and modification. Avoid waste or shortage of work clothes, and ensure that nurses can be normally equipped with work clothes during the training period. Reduce manual intervention, and the material management department can automatically receive the work clothes preparation task. From application to review, uniform distribution to cost calculation, the entire process is highly automated, avoiding the tedious and error-prone problems of traditional paper documents. Nurses can view application progress, cost details and other relevant information in real time through the system, improving user experience and management efficiency. By predicting the demand for uniforms and other materials, hospitals can better manage materials and avoid wasting resources.

[0096] like Figure 3 As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any of the above-mentioned methods for managing nurse training information are implemented:

[0097] Receive training applications submitted by nurses from other hospitals, the training applications including nurse information and application certification documents;

[0098] Receive the results of the internal review of the training application, and if the review is passed, predict the type and quantity of uniforms required during the training period based on the time of submission of the training application and the duration of the training application;

[0099] The further education expense information of the external hospital nurse user is calculated, and the further education expense information includes the cost of work clothes.

[0100] Optionally, the further study application further includes application department information, and the method further includes:

[0101] Based on the application department information, the type and quantity of work uniforms required during the process are matched for the external hospital nurse user.

[0102] Optionally, the predicting of the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the training application includes:

[0103] Determine the seasonal span of the training period based on the time of application and duration of the training;

[0104] The types and quantities of work clothes required during the training period are predicted based on the season span information.

[0105] Optionally, the predicting of the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the training application further includes:

[0106] Predict the temperature range during the training period based on the time of application and duration of training;

[0107] Predict the type and quantity of work clothes required during training based on the temperature range information.

[0108] Optionally, also include:

[0109] If the application is approved, training materials related to the further study direction will be sent to the user terminal of the external hospital nurse user.

[0110] Optionally, also include:

[0111] Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user;

[0112] Extract the seal image in each certification document and compare and analyze it with the seal data of the target foreign hospital in the seal database;

[0113] In the case where the seal image in the certification document does not match the seal data of the target external hospital in the seal database, a certification document forgery prompt message is generated to assist the internal review.

[0114] Optionally, also include:

[0115] Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user;

[0116] Extracting angle data of the seal image in each certification document relative to the certification document to which it belongs;

[0117] When the seal image in each certification document has no difference in angle data relative to the certification document to which it belongs, a certification document forgery prompt message is generated to assist in the in-hospital review.

[0118] Since the electronic device introduced in this embodiment is a device used to implement a nurse training information management device in the embodiment of the present application, based on the method introduced in the embodiment of the present application, the technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by the technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0119] In the specific implementation process, when the computer program 311 is executed by the processor, it can achieve Figure 1 Any implementation manner in the corresponding embodiment:

[0120] Receive training applications submitted by nurses from other hospitals, the training applications including nurse information and application certification documents;

[0121] Receive the results of the internal review of the training application, and if the review is passed, predict the type and quantity of uniforms required during the training period based on the time of submission of the training application and the duration of the training application;

[0122] The further education expense information of the external hospital nurse user is calculated, and the further education expense information includes the cost of work clothes.

[0123] Optionally, the further study application further includes application department information, and the method further includes:

[0124] Based on the application department information, the type and quantity of work uniforms required during the process are matched for the external hospital nurse user.

[0125] Optionally, the predicting of the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the training application includes:

[0126] Determine the seasonal span of the training period based on the time of application and duration of the training;

[0127] The types and quantities of work clothes required during the training period are predicted based on the season span information.

[0128] Optionally, the predicting of the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the training application further includes:

[0129] Predict the temperature range during the training period based on the time of application and duration of training;

[0130] Predict the type and quantity of work clothes required during training based on the temperature range information.

[0131] Optionally, also include:

[0132] If the application is approved, training materials related to the further study direction will be sent to the user terminal of the external hospital nurse user.

[0133] Optionally, also include:

[0134] Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user;

[0135] Extract the seal image in each certification document and compare and analyze it with the seal data of the target foreign hospital in the seal database;

[0136] In the case where the seal image in the certification document does not match the seal data of the target external hospital in the seal database, a certification document forgery prompt message is generated to assist the internal review.

[0137] Optionally, also include:

[0138] Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user;

[0139] Extracting angle data of the seal image in each certification document relative to the certification document to which it belongs;

[0140] When the seal image in each certification document has no difference in angle data relative to the certification document to which it belongs, a certification document forgery prompt message is generated to assist in the in-hospital review.

[0141] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0142] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0143] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0144] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0145] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0146] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1This corresponds to the process of nurse training information management in the embodiment.

[0147] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0148] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0149] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, 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 an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0150] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0151] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0152] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0153] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for managing nurse training information, characterized in that: include: Receive training applications submitted by nurses from other hospitals, the training applications including nurse information and application certification documents; Receive the results of the internal review of the training application, and if the review is passed, predict the type and quantity of uniforms required during the training period based on the time of submission of the training application and the duration of the training application; The further education expense information of the external hospital nurse user is calculated, and the further education expense information includes the cost of work clothes.

2. The method according to claim 1, characterized in that The training application also includes application department information, and the method further includes: Based on the application department information, the type and quantity of work uniforms required during the process are matched for the external hospital nurse user.

3. The method according to claim 1, characterized in that The type and quantity of work clothes required during the training period are predicted based on the time of application for training and the duration of the training application, including: Determine the seasonal span of the training period based on the time of application and duration of the training; The types and quantities of work clothes required during the training period are predicted based on the season span information.

4. The method according to claim 1, characterized in that The prediction of the type and quantity of work clothes required during the training period based on the time of application for training and the duration of the application for training also includes: Predict the temperature range during the training period based on the time of application and duration of training; Predict the type and quantity of work clothes required during training based on the temperature range information.

5. The method according to claim 1, characterized in that Also includes: If the application is approved, training materials related to the further study direction will be sent to the user terminal of the external hospital nurse user.

6. The method according to claim 1, characterized in that Also includes: Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user; Extract the seal image in each certification document and compare and analyze it with the seal data of the target foreign hospital in the seal database; In the case where the seal image in the certification document does not match the seal data of the target external hospital in the seal database, a certification document forgery prompt message is generated to assist the internal review.

7. The method according to claim 1, characterized in that Also includes: Acquire application certification document information of a target external hospital nurse user, wherein the application certification document information includes a plurality of certification documents including seal image information issued by the target external hospital for the nurse user; Extracting angle data of the seal image in each certification document relative to the certification document to which it belongs; When the seal image in each certification document has no difference in angle data relative to the certification document to which it belongs, a certification document forgery prompt message is generated to assist in the in-hospital review.

8. A nurse training information management device, characterized in that: include: A receiving unit, used to receive a training application submitted by a nurse user from an external hospital, wherein the training application includes nurse information and application certification documents; An audit unit is used to receive the audit result of the training application within the hospital, and if the audit is passed, predict the type and quantity of work clothes required during the training period based on the time of submission of the training application and the duration of the training application; The calculation unit is used to calculate the further education expense information of the external hospital nurse user, wherein the further education expense information includes the work uniform expense.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the nurse training information management method as described in any one of claims 1-7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for managing nurse training information according to any one of claims 1 to 7 is implemented.

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