Platform and method for sharing ophthalmic nursing knowledge in hospital

Abstract

The invention discloses an in-hospital ophthalmology nursing knowledge sharing platform and method, and relates to the technical field of nursing knowledge sharing, and the platform comprises an ophthalmology nursing knowledge receiving module which is used for receiving and storing nursing knowledge uploaded by nursing personnel; the nursing knowledge integration module is used for classifying and integrating the received nursing knowledge; the sharing scheme making module is used for making sharing schemes of nursing knowledge in batches; the nursing knowledge sharing module is used for directionally sharing the integrated nursing knowledge according to the formulated sharing scheme; and the system security protection module is used for performing security setting on the system and protecting the data security in the platform in real time. The sharing method which is simple to operate is beneficial to rapid popularization of new knowledge, learning cost is effectively reduced, decision-making efficiency is improved, so that problems in the nursing process are more efficiently solved, the characteristic of high safety can ensure that privacy and sensitive information of a patient are properly protected, and information leakage and abuse are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of nursing knowledge sharing, and in particular to an in-hospital ophthalmic nursing knowledge sharing platform and method. Background Art

[0002] With the continuous development of information technology, ophthalmic care knowledge sharing has also begun to use advanced technical means, such as establishing an ophthalmic care knowledge base and using online learning platforms, so that medical staff can more conveniently obtain and share knowledge, but the popularity and application effects of these technologies may not be ideal. Some medical staff may not be able to make full use of these resources due to unfamiliarity with new technologies or lack of necessary equipment, resulting in some key information that cannot be fully shared. In addition, since the hospital has a confidentiality responsibility for the pathological information and personal information of patients in the hospital, if it is accidentally disclosed without the patient's knowledge, it will inevitably cause certain negative effects. In order to solve these problems, the present invention provides an ophthalmic care knowledge sharing method that is simple to operate and highly safe and can be implemented based on the existing environment. Summary of the invention

[0003] The present invention provides an in-hospital ophthalmic nursing knowledge sharing platform, including: an ophthalmic nursing knowledge maintenance module, a nursing knowledge evaluation module, a sharing plan formulation module, a nursing knowledge sharing module, and a system security protection module;

[0004] Ophthalmic nursing knowledge receiving module, used to receive and store nursing knowledge uploaded by nursing staff;

[0005] Nursing knowledge integration module, used to classify and integrate the received nursing knowledge;

[0006] A shared plan formulation module is used to formulate shared plans for nursing knowledge in batches;

[0007] Nursing knowledge sharing module, used to carry out targeted sharing of integrated nursing knowledge according to the established sharing plan;

[0008] The system security protection module is used to set up security for the system and protect the data security within the platform in real time.

[0009] In the above-mentioned in-hospital ophthalmic nursing knowledge sharing platform, the nursing knowledge integration module specifically includes:

[0010] The feedback data collection submodule is used to collect the rating data of patients associated with nursing knowledge and the clinical data recorded during the nursing process;

[0011] The practical value quantification submodule is used to preliminarily quantify the practical value of the nursing knowledge based on the collected data;

[0012] The knowledge organization submodule is used to classify and integrate nursing knowledge based on the quantitative results of practical value.

[0013] In the above-mentioned in-hospital ophthalmic nursing knowledge sharing platform, the sharing plan formulation module specifically includes:

[0014] The shared knowledge selection submodule is used to set up shared batches for the classified and integrated nursing knowledge;

[0015] A shared knowledge encryption submodule is used to set encryption algorithms for different shared batches of nursing knowledge;

[0016] The sharing permission setting submodule is used to set sharing permissions for different shared batches of nursing knowledge.

[0017] As described above, an in-hospital ophthalmic nursing knowledge sharing platform, wherein the nursing knowledge sharing module specifically includes:

[0018] The authority verification submodule is used to verify the authority of the knowledge visitor using a shared verification code. After the verification is passed, the knowledge acquisition submodule is entered. If it fails, the access request of the current knowledge visitor is rejected;

[0019] The knowledge acquisition submodule is used to acquire the nursing knowledge in the access batch using a preset encryption algorithm;

[0020] The value feedback submodule is used to obtain users' feedback data on nursing knowledge and further quantify the practical value of nursing knowledge based on the obtained feedback data.

[0021] The present invention also provides an in-hospital ophthalmic nursing knowledge sharing method, comprising:

[0022] Step 1: Receive nursing knowledge uploaded by nursing staff and store it in a structured manner;

[0023] Step 2: Classify and integrate the nursing knowledge received;

[0024] Step 3, formulate sharing plans in batches for the classified and integrated nursing knowledge;

[0025] Step 4: Share the integrated nursing knowledge in a targeted manner according to the established sharing plan;

[0026] Step 5. Set up security for the system to protect data security within the platform in real time.

[0027] The beneficial effects achieved by the present invention are as follows: A sharing method with simple operation helps the rapid popularization of new knowledge, effectively reducing the learning cost. By sharing knowledge and experience, team members can reach a consensus faster, improve the decision-making efficiency, and thus solve problems in the nursing process more efficiently. The high-security feature can ensure the proper protection of patients' privacy and sensitive information, avoiding information leakage and abuse. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0029] Figure 1 It is a schematic diagram of an in-hospital ophthalmic nursing knowledge sharing platform provided in Embodiment 1 of the present application;

[0030] Figure 2 It is a flowchart of an in-hospital ophthalmic nursing knowledge sharing method provided in Embodiment 2 of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0032] Embodiment 1

[0033] As Figure 1 shown, Embodiment 1 of the present application provides an in-hospital ophthalmic nursing knowledge sharing platform, including: an ophthalmic nursing knowledge maintenance module 11, a nursing knowledge evaluation module 12, a sharing plan formulation module 13, a nursing knowledge sharing module 14, and a system security protection module 15;

[0034] An ophthalmic nursing knowledge receiving module 11, configured to receive and store the nursing knowledge uploaded by nursing staff;

[0035] This module is a graphical display page with good interaction effects. Nursing staff only need to click the upload button to upload the well-organized nursing knowledge to the platform. After the knowledge is successfully uploaded, this module will automatically supplement the knowledge source information according to the IP of the uploading client and store it in a structured manner.

[0036] A nursing knowledge integration module 12, configured to classify and integrate the received nursing knowledge;

[0037] The newly received nursing knowledge is rather chaotic. If directly shared, it will inevitably make it difficult for nursing staff to find the key points of learning. Therefore, it is necessary to evaluate the practical value of nursing knowledge from a historical perspective and then classify and integrate them according to their practical value. This module specifically includes:

[0038] 1. Feedback data collection sub-module, which is used to collect the scoring data of patients associated with nursing knowledge and the clinical data recorded during the nursing process;

[0039] The scoring data of patients' evaluation of the nursing process is collected through questionnaire surveys, with a full score of 10 points; the clinical data is derived from the electronic medical record system and nursing records, and is used to reflect the effects of nursing knowledge from the aspects of patients' vital signs and changes in their conditions.

[0040] 2. Practical value quantification sub-module, which is used to initially quantify the practical value of the nursing knowledge based on the collected data;

[0041] Substitute the collected data into the practical value quantification formula:

[0042] to obtain the initial quantification result P, where α and β are the influence weights of the scoring data and clinical manifestations on the practical value respectively, S is the initial score of this piece of nursing knowledge, A kt is the k-th clinical data recorded at time t, A kt-1 is the k-th clinical data recorded at time t - 1, ε k is the discrimination coefficient of the k-th clinical data for judging whether the patient's condition is good or bad, k takes values from 1 to Q, Q is the total number of clinical data items recorded during the nursing process, t takes values from 2 to T, and T is the application cycle of this piece of nursing knowledge.

[0043] 3. Knowledge organization sub-module, which is used to classify and integrate nursing knowledge based on the quantification result of the practical value;

[0044] First, classify the nursing knowledge preliminarily according to the application department to obtain the classification data of the first layer. Then, the classification number of the first-layer classification data is the department number; then, refine the classification of the first-layer classification data according to the quantification result of the practical value of the nursing knowledge (those with the same quantification result are grouped into one category) to obtain the classification data of the second layer. The classification number of the second-layer classification data is the practical value. Finally, generate a unique number for each piece of nursing knowledge using the first-layer classification number + the second-layer classification number + an incrementing sequence for easy distinction and quick query.

[0045] Sharing plan formulation module 13, which is used to formulate the sharing plan of nursing knowledge in batches;

[0046] The basis for selecting the nursing knowledge sharing batches is the two - level classification number of nursing knowledge. For different categories of nursing knowledge, users can combine them into different sharing batches in this module and formulate different sharing plans according to their needs. The formulation of a sharing plan generally goes through the following sub - modules:

[0047] 1. Shared knowledge selection sub - module, which is used to set sharing batches for the classified and integrated nursing knowledge;

[0048] When setting sharing batches, only one or more pieces of nursing knowledge under the same department can be selected as the same sharing batch. This module presents the classified and integrated nursing knowledge in the form of a cascading selection box. The first - layer classification data (i.e., department) is used as the first - level option, the second - layer classification data (i.e., use value) is used as the second - level option, and the specific nursing knowledge is used as the last - level option. The second - level options are folded under the first - level options and expand when the first - level option is selected, and the last - level options expand when the second - level option is selected. After selecting the last - level option, the selected nursing knowledge is automatically added to the current sharing batch. After successful saving, an association table between the nursing knowledge number and the sharing batch number will be automatically established in the database.

[0049] 2. Shared knowledge encryption sub - module, which is used to set encryption algorithms for the nursing knowledge of different sharing batches;

[0050] The sharing platform embeds a variety of encryption algorithms, including asymmetric encryption algorithms, symmetric encryption algorithms, digital signatures, etc. Users can select them according to their needs.

[0051] 3. Shared permission setting sub - module, which is used to set sharing permissions for the nursing knowledge of different sharing batches;

[0052] This module will generate a sharing verification code based on the practical value, application department, and information sensitivity of the nursing knowledge within the same sharing batch to restrict the sharing permissions of the nursing knowledge. The generation of the sharing verification code relies on the function R(C), and its mathematical expression is:

[0053] where C is the input parameter set, p i represents the practical value of the i - th piece of nursing knowledge in the input parameter set, i takes values from 1 to n, and n is the total number of nursing knowledge in the input parameter set. is the resolution of the practical value for permission verification, d represents the application department of the nursing knowledge in the input parameter set, is the resolution of the application department for permission verification, s max represents the highest value of the information sensitivity included in the input parameter set, is the resolution of the information sensitivity for permission verification.

[0054] It should be noted that the original data of the application department is in character type, so it is necessary to use one-hot encoding or rule mapping method to convert it into numerical type and then use it as the input parameter of the function for calculation.

[0055] The nursing knowledge sharing module 14 is used to carry out targeted sharing of the integrated nursing knowledge according to the established sharing plan; specifically, it includes: an authority verification submodule, a knowledge acquisition submodule and a value feedback submodule;

[0056] 1. The authority verification submodule is used to verify the authority of the knowledge visitor using a shared verification code. After the verification is passed, the knowledge acquisition submodule is entered. If it fails, the access request of the current knowledge visitor is rejected;

[0057] Knowledge visitors are users who request access to a shared batch. Each user has his or her own role. A shared verification code can be regenerated using the R0(C) function combined with the permissions and responsibilities of the role. If the currently generated verification code is consistent with the previously generated one, it is considered to have been verified, otherwise it is considered to have failed. The shared verification code generation function R0(C) of the knowledge visitor is expressed as:

[0058] Where C is the input parameter set, p i It represents the practical value of the i-th nursing knowledge in the entry set, i ranges from 1 to n, and n is the total number of nursing knowledge in the entry set. is the resolution of practical value to authority verification, d represents the application department of nursing knowledge in the entry set, The resolution of the authority verification of the application department, s max Indicates the maximum sensitivity value of the information contained in the input parameter set. is the resolution of information sensitivity to permission verification, F d (d) and F s (s max ) is the verification function of department and information sensitivity, F d (d) = if (d∈D user ,d,0),F s (s max )=if(s max ≤s user ,s max ,0),D user is the collection of departments bound to the knowledge visitor role, s user It is the sensitivity threshold of the information that the knowledge accessor role can view.

[0059] 2. A knowledge acquisition submodule, which is used to acquire nursing knowledge in the access batch using a pre-set encryption algorithm;

[0060] After the access permission is verified, the platform will encrypt and transmit the nursing knowledge to the knowledge visitor, that is, the client where the user is located, according to the preset encryption algorithm. After the transmission is completed, the user can view the obtained nursing knowledge online.

[0061] 3. The value feedback sub-module is used to obtain the feedback data of users on nursing knowledge and further quantify the practical value of nursing knowledge based on the obtained feedback data.

[0062] Set up a feedback window that supports two feedback methods: scoring feedback and clinical data feedback. Scoring feedback is to obtain the scoring data of users on nursing knowledge through a preset scoring index system; clinical data feedback is to obtain the clinical data before and after the application of nursing knowledge through the way of form import.

[0063] The obtained feedback data will be brought into the secondary quantification formula:

[0064] to obtain the further quantification result P0 of this piece of nursing knowledge, where α and β are the influence weights of scoring data and clinical manifestations on practical value respectively, S is the initial score of this piece of nursing knowledge, f j is the value of the j-th scoring index in the scoring feedback data, μ j is the weight of the j-th scoring index, j takes values from 1 to m, m is the total number of scoring indexes, A afterlk is the k-th clinical data after the application of nursing knowledge in the l-th clinical feedback data, A beforelk is the k-th clinical data before the application of nursing knowledge in the l-th clinical feedback data, ε k is the discrimination coefficient of the k-th clinical data on the patient's condition, k takes values from 1 to Q, Q is the total number of clinical data recorded during the nursing process, and l takes values from 1 to L, L is the total number of clinical feedback data.

[0065] After the practical value changes, the knowledge sorting sub-module will also re-classify and integrate the nursing knowledge based on the new practical value to ensure the accuracy of knowledge sharing.

[0066] The system security protection module 15 is used to perform security settings on the system and protect the data security in the platform in real time; specifically includes: the log management sub-module and the security setting sub-module;

[0067] 1. The log management sub-module is used to manage the log information output by each module in the platform.

[0068] Logs output by different modules can use different log management schemes, which are configured by the system administrator. The configuration items include the scheme name, daily log detection time, log usage duration, log strict level, standards, etc. Among them, the daily log detection time is used to record the storage time of the log, and when the storage time reaches a certain limit, the data will be automatically cleared; the log usage duration is used to record the time keyword of log usage and is the timestamp of the log management function; the log strict level is used to control the access rights of the log.

[0069] 2. The security settings sub-module is used to create or view the system security protection scheme of the platform;

[0070] The system security protection scheme is also configured by the system administrator. The configuration items include: scheme name, security start time, effective duration, strict level, scope, and result viewing permission; among them, the result viewing permission is used to limit the viewing permission of the execution results of the system security protection scheme.

[0071] Embodiment 2

[0072] As Figure 2 shown, Embodiment 2 of the present application provides a method for sharing in-hospital ophthalmology nursing knowledge, including:

[0073] Step S10: Receive the nursing knowledge uploaded by the nursing staff and perform structured storage;

[0074] The nursing staff uploads the well-organized nursing knowledge to the in-hospital ophthalmology nursing knowledge sharing platform through the graphical interface. After successful upload, the knowledge source information is automatically supplemented according to the IP of the upload client and is structurally stored.

[0075] Step S20: Classify and integrate the received nursing knowledge;

[0076] The just-received nursing knowledge is rather chaotic. Directly sharing it will inevitably make it difficult for the nursing staff to find the key points for learning. Therefore, it is necessary to evaluate the practical value of the nursing knowledge from a historical perspective and then classify and integrate it according to their practical value. The specific includes the following sub-steps:

[0077] Step S21: Collect the scoring data of the patients associated with the nursing knowledge, as well as the clinical data recorded during the nursing process;

[0078] Collect the scoring data of the patients on the nursing process through a questionnaire survey, with a full score of 10; the clinical data comes from the electronic medical record system and nursing records, and is used to reflect the effect of the nursing knowledge from the aspects of the patient's vital signs and changes in the condition.

[0079] Step S22: Initially quantify the practical value of the nursing knowledge according to the collected data;

[0080] Bring the collected data into the practical value quantification formula:

[0081] to obtain the preliminary quantification result P, where α and β are the influence weights of the scoring data and clinical manifestations on the practical value respectively, S is the initial score of this piece of nursing knowledge, A kt is the k-th clinical data recorded at time t, A kt-1 is the k-th clinical data recorded at time t - 1, ε k is the discrimination coefficient of the k-th clinical data on the patient's condition, k takes values from 1 to Q, Q is the total number of clinical data items recorded during the nursing process, t takes values from 2 to T, and T is the application cycle of this piece of nursing knowledge.

[0082] Step S23: Classify and integrate nursing knowledge based on the quantification result of the practical value;

[0083] First, classify the nursing knowledge preliminarily according to the application department to obtain the first-layer classification data, and then the classification number of the first-layer classification data is the department number; then refine the classification of the first-layer classification data according to the quantification result of the practical value of the nursing knowledge (those with the same quantification result are grouped into one category) to obtain the second-layer classification data, and the classification number of the second-layer classification data is the practical value. Finally, use the first-layer classification number + the second-layer classification number + an incrementing sequence to generate a unique number for each piece of nursing knowledge for easy distinction and quick query.

[0084] Step S30: Develop sharing plans for the classified and integrated nursing knowledge in batches;

[0085] The basis for selecting the sharing batches of nursing knowledge is the two-layer classification numbers of the nursing knowledge. For different categories of nursing knowledge, users can combine them into different sharing batches in this module and develop different sharing plans according to their needs. The development of a sharing plan generally goes through the following sub-steps:

[0086] Step S31: Set the sharing batches for the classified and integrated nursing knowledge;

[0087] When setting up a shared batch, you can only select one or more nursing knowledge under the same department as the same shared batch. This module presents the classified and integrated nursing knowledge in the form of a cascading selection box. The first-level classification data (i.e. department) is the first-level option, the second-level classification data (i.e. use value) is the second-level option, and the specific nursing knowledge is the last-level option. The second-level option is folded under the first-level option and expanded when the first-level option is selected. The last-level option is expanded when the second-level option is selected. After selecting the last-level option, the selected nursing knowledge is automatically added to the current shared batch. After saving successfully, an association table between the nursing knowledge number and the shared batch number will be automatically established in the database.

[0088] Step S32: setting encryption algorithms for different shared batches of nursing knowledge;

[0089] The sharing platform has built-in encryption algorithms including asymmetric encryption algorithms, symmetric encryption algorithms, digital signatures, etc. Users can choose as needed.

[0090] Step S33: setting sharing permissions for nursing knowledge in different sharing batches;

[0091] A shared verification code is generated according to the practical value, application department, and information sensitivity of the nursing knowledge in the same shared batch to limit the sharing authority of nursing knowledge. The shared verification code is generated with the help of function R(C), and its mathematical expression is:

[0092] Where C is the input parameter set, p i It represents the practical value of the i-th nursing knowledge in the entry set, i ranges from 1 to n, and n is the total number of nursing knowledge in the entry set. is the resolution of practical value to authority verification, d represents the application department of nursing knowledge in the entry set, The resolution of the authority verification of the application department, s max Indicates the maximum sensitivity value of the information contained in the input parameter set. Resolution of permissions verification based on information sensitivity.

[0093] It should be noted that the original data of the application department is in character type, so it is necessary to use one-hot encoding or rule mapping method to convert it into numerical type and then use it as the input parameter of the function for calculation.

[0094] Step S40: Directed sharing of the integrated nursing knowledge is performed according to the established sharing plan, which specifically includes the following sub-steps:

[0095] Step S41: Use the shared verification code to verify the knowledge visitor's authority. If the verification is successful, proceed to the next processing step. If it fails, the access request of the current knowledge visitor is rejected.

[0096] A knowledge visitor is a user who requests access to a shared batch. Each user has their own role. Using the R0(C) function, a shared verification code can be regenerated by combining the permissions and responsibilities of the role. If the currently generated verification code is the same as the previously generated one, it is considered verified; otherwise, it is considered unverified. The shared verification code generation function R0(C) for the knowledge visitor is expressed as:

[0097] where C is the input parameter set, and p i represents the practical value of the i-th piece of nursing knowledge in the input parameter set, where i ranges from 1 to n, and n is the total number of pieces of nursing knowledge in the input parameter set. is the resolution of the practical value for permission verification, d represents the application department of the nursing knowledge in the input parameter set, is the resolution of the application department for permission verification, and s max represents the highest value of the sensitivity of the information contained in the input parameter set. is the resolution of the information sensitivity for permission verification, and F d (d) and F s (s max ) are the verification functions for the department and information sensitivity. F d (d) = if(d ∈ D user , d, 0), and F s (s max ) = if(s max ≤ s user , s max , 0), where D user is the set of departments bound to the knowledge visitor's role, and s user is the threshold of the information sensitivity that the knowledge visitor's role can access.

[0098] Step S42: Use a pre-set encryption algorithm to obtain the nursing knowledge within the access batch;

[0099] After the access permission is verified, the platform will encrypt and transmit the nursing knowledge to the knowledge visitor, that is, the client where the user is located, according to the pre-set encryption algorithm. After the transmission is completed, the user can view the obtained nursing knowledge online.

[0100] Step S43: Obtain the feedback data of the user on the nursing knowledge, and further quantify the practical value of the nursing knowledge based on the obtained feedback data;

[0101] Set up a feedback window that supports two feedback methods: scoring feedback and clinical data feedback. Scoring feedback is to obtain the scoring data of the user on the nursing knowledge through a pre-set scoring index system; clinical data feedback is to obtain the clinical data before and after the application of the nursing knowledge through the method of importing a table.

[0102] The obtained feedback data will be brought into the secondary quantization formula:

[0103] to obtain the further quantization result P0 of this piece of nursing knowledge, where α and β are the influence weights of the scoring data and clinical manifestations on the practical value respectively, S is the initial score of this piece of nursing knowledge, f j is the value of the j-th scoring index in the scoring feedback data, μ j is the weight of the j-th scoring index, j takes values from 1 to m, m is the total number of scoring indexes, A afterlk is the k-th clinical data after the application of the nursing knowledge in the l-th clinical feedback data, A beforelk is the k-th clinical data before the application of the nursing knowledge in the l-th clinical feedback data, ε k is the discrimination coefficient of the k-th clinical data for judging the patient's condition, k takes values from 1 to Q, Q is the total number of clinical data recorded during the nursing process, l takes values from 1 to L, and L is the total number of clinical feedback data.

[0104] After the practical value changes, the knowledge sorting sub-module will also re-classify and integrate the nursing knowledge based on the new practical value to ensure the accuracy of knowledge sharing.

[0105] Step S50: Perform security settings on the system to protect the data security in the platform in real time;

[0106] The logs output by different modules in the in-hospital ophthalmology nursing knowledge sharing platform can use different log management schemes, which are configured by the system administrator. The configuration items include the scheme name, daily log detection time, log usage duration, log strict level, standards, etc. Among them, the daily log detection time is used to record the storage time of the log, and when the storage time reaches a certain limit, the data will be automatically cleared; the log usage duration is used to record the time keyword of the log usage and is the time stamp of the log management function; the log strict level is used to control the access rights of the log. The system security protection scheme is also configured by the system administrator, and the configuration items include: scheme name, security start time, effective duration, strict level, scope, and result viewing permission; among them, the result viewing permission is used to limit the viewing permission of the execution result of the system security protection scheme.

[0107] Corresponding to the above embodiments, an embodiment of the present invention provides a computer storage medium, including: at least one memory and at least one processor;

[0108] The memory is used to store one or more program instructions;

[0109] The processor is used to run one or more program instructions to execute an in-hospital ophthalmology nursing knowledge sharing method.

[0110] Corresponding to the above embodiments, an embodiment of the present invention provides a computer-readable storage medium, which contains one or more program instructions for a processor to execute a method for sharing in-hospital ophthalmology nursing knowledge.

[0111] An embodiment of the present invention provides a computer-readable storage medium, in which computer program instructions are stored. When the computer program instructions run on a computer, the computer is enabled to execute the above method for sharing in-hospital ophthalmology nursing knowledge.

[0112] In an embodiment of the present invention, the processor may be an integrated circuit chip with signal processing capabilities. The processor may be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0113] It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present invention may be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The processor reads the information in the storage medium and combines its hardware to complete the steps of the above method.

[0114] The storage medium may be a memory, for example, it may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories.

[0115] Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory.

[0116] The volatile memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example but not limitation, many forms of RAM are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM).

[0117] The storage media described in the embodiments of the present invention are intended to include but not limited to these and any other suitable types of memories.

[0118] Those skilled in the art should be aware that, in one or more of the above examples, the functions described in the present invention can be implemented by a combination of hardware and software. When applying software, the corresponding functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. The computer-readable medium includes computer storage media and communication media, where the communication media includes any medium that facilitates the transfer of a computer program from one place to another. The storage media can be any available medium accessible by a general-purpose or special-purpose computer.

[0119] The specific embodiments described above have further elaborated on the objectives, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the present invention shall be included within the protection scope of the present invention.

Claims

1. An in-hospital ophthalmology nursing knowledge sharing platform, characterized in that, It includes: An ophthalmic nursing knowledge maintenance module, a nursing knowledge assessment module, a sharing plan formulation module, a nursing knowledge sharing module, and a system security protection module; An ophthalmic nursing knowledge receiving module for receiving and storing the nursing knowledge uploaded by nursing staff; A nursing knowledge integration module for classifying and integrating the received nursing knowledge; A sharing plan formulation module for formulating sharing plans for nursing knowledge in batches; A nursing knowledge sharing module for directionally sharing the integrated nursing knowledge according to the formulated sharing plan; A system security protection module for performing security settings on the system and protecting the data security in the platform in real time.

2. The in-hospital ophthalmology care knowledge sharing platform according to claim 1, characterized in that, The nursing knowledge integration module specifically includes: A feedback data collection sub-module for collecting the scoring data of patients associated with the nursing knowledge and the clinical data recorded during the nursing process; A practical value quantification sub-module for initially quantifying the practical value of the nursing knowledge based on the collected data; A knowledge sorting sub-module for classifying and integrating the nursing knowledge based on the quantification result of the practical value.

3. The in-hospital ophthalmology care knowledge sharing platform according to claim 1, wherein, The sharing plan formulation module specifically includes: A shared knowledge selection sub-module for setting sharing batches for the classified and integrated nursing knowledge; A shared knowledge encryption sub-module for setting encryption algorithms for the nursing knowledge in different sharing batches; A shared permission setting sub-module for setting sharing permissions for the nursing knowledge in different sharing batches.

4. The in-hospital ophthalmology care knowledge sharing platform according to claim 1, wherein The nursing knowledge sharing module specifically includes: A permission verification sub-module for verifying the permissions of knowledge visitors using a shared verification code. After passing the verification, it enters the knowledge acquisition sub-module, and if not passed, the access request of the current knowledge visitor is rejected; A knowledge acquisition sub-module for acquiring the nursing knowledge within the access batch using a pre-set encryption algorithm; A value feedback sub-module for acquiring the feedback data of users on the nursing knowledge and further quantifying the practical value of the nursing knowledge based on the acquired feedback data.

5. The in-hospital ophthalmology nursing knowledge sharing platform according to claim 1, characterized in that, The system security protection module specifically includes: A log management sub-module for managing the log information output by each module in the platform; A security setting sub-module for creating or viewing the system security protection plan of the platform.

6. A method for sharing in-hospital ophthalmology nursing knowledge, characterized in that, It includes: Step1. Receive the nursing knowledge uploaded by nursing staff and perform structured storage; Step2. Classify and integrate the received nursing knowledge; Step3. Formulate sharing plans for the classified and integrated nursing knowledge in batches; Step4. Directionally share the integrated nursing knowledge according to the formulated sharing plan; Step5. Perform security settings on the system and protect the data security in the platform in real time.

7. A method for sharing in-hospital ophthalmology care knowledge according to claim 6, characterized in that, Classifying and integrating the received nursing knowledge specifically includes the following sub-steps: Collect the scoring data of patients associated with the nursing knowledge and the clinical data recorded during the nursing process; Initially quantify the practical value of the nursing knowledge based on the collected data; Classify and integrate the nursing knowledge based on the quantification result of the practical value.

8. A method for sharing in-hospital ophthalmology nursing knowledge according to claim 6, characterized in that, Formulating sharing plans for the classified and integrated nursing knowledge in batches specifically includes the following sub-steps: Set sharing batches for the classified and integrated nursing knowledge; Set encryption algorithms for the nursing knowledge in different sharing batches; Set sharing permissions for the nursing knowledge in different sharing batches.

9. A computer storage medium, characterized in that, Comprising: At least one memory and at least one processor; The memory is used for storing one or more program instructions; The processor is used for running one or more program instructions so as to execute a method for sharing in-hospital ophthalmology care knowledge as described in any one of claims 6-8.

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