Full-closed-loop health education bedside interaction method and system, terminal and storage medium

Abstract

The invention discloses a full-closed-loop health education bedside interaction method and system, a terminal and a storage medium. The method comprises the steps of obtaining state information of a patient, filling in an evaluation questionnaire according to the state information to obtain a risk evaluation result, and judging a risk level according to the risk evaluation result; medical advice information of the patient is obtained, corresponding education content is matched according to the state information, the risk level and the medical advice information, and the education content comprises pushing time, exclusive education images and texts, exclusive education videos and exclusive education evaluation questions; according to the pushing time, the exclusive education image-text is pushed to bedside equipment of the patient to be displayed, and after the patient completes reading, exclusive education evaluation questions are pushed to the bedside equipment to be displayed; and after the patient finishes the test, comprehensively analyzing the test result, judging whether the education content needs to be pushed again according to the analysis result, and adjusting the education content of the health education knowledge base. According to the invention, the education content and the evaluation process are intelligently pushed, and the hospital intelligent education effect is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data processing, in particular to a full closed loop health education bedside interaction method, system, terminal and computer readable storage medium. BACKGROUND

[0002] With the rapid development of medical informatization, the hospital intelligent health education system emerges as the times require as an important means to improve the quality of medical services and improve the patient experience. The current hospital intelligent health education system can generate and push relevant health education content to the bedside terminal according to the actual situation of the patient's condition, and the specific forms are, for example, audio, video, text, PDF, rich text, etc. The hospital intelligent health education has various forms, and by combining advanced technology and humanized design, it provides more convenient, efficient and personalized health services for patients.

[0003] However, the current hospital health education system lacks risk assessment-based content pushing, lacks risk prevention and control awareness, and the health education effect cannot be guaranteed. Moreover, the feedback prompted by the system after reading the health education content is relatively single, so the actual mastery of the health education content by the patient cannot be fully reflected in the background statistical data, and effective data support cannot be provided for the subsequent nursing work of medical staff, and the patient experience and the quality of medical services cannot be truly improved.

[0004] Therefore, the prior art still needs to be improved and developed. SUMMARY

[0005] The main purpose of the present application is to provide a full closed loop health education bedside interaction method, system, terminal and computer readable storage medium, which aims to solve the problems in the prior art that there is a lack of risk assessment-based health education content pushing, the feedback prompted by the system after reading the health education content is relatively single, the actual mastery of the health education content by the patient cannot be fully reflected, and the patient experience and the quality of medical services cannot be truly improved.

[0006] To achieve the above-mentioned purpose, the present application provides a full closed loop health education bedside interaction method, which comprises the following steps:

[0007] Obtaining the state information of the patient, filling in the assessment questionnaire according to the state information to obtain the risk assessment result, and determining the risk level according to the risk assessment result;

[0008] Obtaining medical order information of the patient, and matching corresponding health education content in a target health education knowledge base according to the state information, the risk level and the medical order information, wherein the health education content comprises a push time, exclusive health education images and texts, exclusive health education videos and exclusive health education test questions;

[0009] According to the push time, the exclusive health education images and texts and the exclusive health education videos are pushed to a bedside terminal device of the corresponding patient for display, and when receiving feedback that the patient has completed reading, the exclusive health education test questions are pushed to the bedside terminal device for display;

[0010] When receiving feedback that the patient has completed the test, the test results of the patient are comprehensively analyzed to obtain analysis results, whether health education content needs to be pushed again is determined according to the analysis results, and the analysis results are summarized to obtain summary data, and the health education content of the health education knowledge base is adjusted according to the summary data.

[0011] Optionally, the full-closed-loop bedside health education interaction method, wherein the filling of the evaluation questionnaire according to the state information to obtain the risk assessment result and the determination of the risk level according to the risk assessment result specifically comprises:

[0012] The filling of the evaluation questionnaire according to the state information, wherein the evaluation questionnaire comprises a fall risk assessment scale, a pressure ulcer risk assessment scale, a nutritional risk screening assessment table, activity, medication, self-care and psychological state;

[0013] The integration of each result after the filling of the evaluation questionnaire to obtain a risk assessment result, and the determination of the risk level of the patient according to the risk assessment result, wherein the risk level comprises a high-level risk, a medium-level risk and a low-level risk;

[0014] Different risk levels correspond to different health education content.

[0015] Optionally, the full-closed-loop bedside health education interaction method, wherein the matching of the corresponding health education content in the target health education knowledge base according to the state information, the risk level and the medical order information further comprises:

[0016] Uploading health education images and test questions to the health education knowledge base, wherein the health education images comprise health education audio, exclusive health education videos, health education pictures, health education rich texts and health education PDF files;

[0017] The health education pictures and texts and the evaluation questions are automatically classified according to the health education categories and the department categories by using the trained classification model, so as to obtain classified health education pictures and texts and classified evaluation questions;

[0018] The classified health education pictures and texts and the classified evaluation questions are sent to medical staff for manual review, and after the review, reviewed health education pictures and texts and reviewed evaluation questions are obtained;

[0019] The reviewed health education pictures and texts and the reviewed evaluation questions are bound according to the classification results, and a target health education knowledge base is obtained.

[0020] Optionally, the full-closed-loop bedside health education interaction method, wherein the corresponding health education content is matched in the target health education knowledge base according to the state information, the risk level and the medical order information, and specifically includes:

[0021] A rule algorithm is generated according to the state information, the risk level and the medical order information, and the rule algorithm includes a health education type, a patient event, a health education push time and a medical order matching logic;

[0022] According to the rule algorithm, the corresponding health education content is matched in the target health education knowledge base.

[0023] Optionally, the full-closed-loop bedside health education interaction method, wherein the exclusive health education pictures and texts and the exclusive health education videos are pushed to the bedside terminal device of the corresponding patient for display according to the push time, and specifically includes:

[0024] When the push time is reached, the exclusive health education pictures and texts and the exclusive health education videos are pushed to the bedside terminal device of the corresponding patient, and the health education push state and the patient receiving state are recorded;

[0025] If the health education push state is push success and the patient receiving state is patient confirmation receiving, the exclusive health education pictures and texts and the exclusive health education videos are displayed in a list to the patient for reading and learning, and the exclusive health education pictures and texts are updated in real time according to the development of the patient's condition;

[0026] Otherwise, a second compensation push operation is performed after a first preset time interval, until the exclusive health education pictures and texts are received by the patient.

[0027] Optionally, the full-closed-loop bedside health education interaction method, wherein the full-closed-loop bedside health education interaction method further includes:

[0028] Upon receiving feedback from the patient that they have interrupted or withdrawn from the test, the system records the position of the answers taken when the patient interrupts or withdraws from the test. When the patient takes the test again, the test content will be automatically located at the recorded answer position.

[0029] Optionally, the fully closed-loop bedside health education interaction method, wherein the step of comprehensively analyzing the patient's test results to obtain analysis results, determining whether health education content needs to be pushed again based on the analysis results, summarizing the analysis results to obtain summary data, and adjusting the health education content of the health education knowledge base based on the summary data, specifically includes:

[0030] The patient's test results are comprehensively analyzed to obtain the patient's mastery of the health education content. It is then determined whether the mastery level is lower than a first preset threshold. If so, the health education content is pushed again after a second preset time interval.

[0031] The analysis results of multiple patients were statistically summarized and analyzed from multiple dimensions to obtain the overall pass rate, average pass rate, participation rate, and error rate of each test item.

[0032] The assessment questions with an error rate exceeding the second preset threshold are designated as questions to be adjusted. The corresponding exclusive health education text and images and exclusive health education videos are obtained for the questions to be adjusted, and the questions to be adjusted, the corresponding exclusive health education text and images and exclusive health education videos are adjusted accordingly.

[0033] Furthermore, to achieve the above objectives, the present invention also provides a fully closed-loop bedside health education interaction system, wherein the fully closed-loop bedside health education interaction system comprises:

[0034] The risk level determination module is used to obtain the patient's status information, fill out the assessment questionnaire based on the status information, obtain the risk assessment result, and determine the risk level based on the risk assessment result.

[0035] The health education content matching module is used to obtain the patient's medical order information and match the corresponding health education content in the target health education knowledge base based on the status information, the risk level, and the medical order information. The health education content includes push time, exclusive health education text and images, exclusive health education videos, and exclusive health education assessment questions.

[0036] The content display module is used to push the exclusive health education text and images and the exclusive health education video to the bedside terminal device of the corresponding patient according to the push time. After receiving feedback from the patient that he / she has finished reading, the exclusive health education assessment questions are pushed to the bedside terminal device for display.

[0037] The results analysis and adjustment module is used to comprehensively analyze the patient's test results after receiving feedback from the patient who has completed the test, obtain analysis results, determine whether it is necessary to push health education content again based on the analysis results, summarize the analysis results to obtain summary data, and adjust the health education content of the health education knowledge base based on the summary data.

[0038] In addition, to achieve the above objectives, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and a fully closed-loop health education bedside interaction program stored in the memory and executable on the processor, wherein when the fully closed-loop health education bedside interaction program is executed by the processor, it implements the steps of the fully closed-loop health education bedside interaction method as described above.

[0039] In addition, to achieve the above objectives, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a fully closed-loop health education bedside interaction program, which, when executed by a processor, implements the steps of the fully closed-loop health education bedside interaction method as described above.

[0040] In this invention, the patient's status information is obtained, and an assessment questionnaire is completed based on this information to obtain a risk assessment result. The risk level is then determined based on the risk assessment result. The patient's medical order information is also obtained. Based on the status information, risk level, and medical order information, corresponding health education content is matched from a target health education knowledge base. This health education content includes a push notification time, personalized health education text and images, personalized health education videos, and personalized health education assessment questions. According to the push notification time, the personalized health education text and images are pushed to the patient's bedside device for display. After the patient finishes reading, the personalized health education assessment questions are pushed to the bedside device for display. After the patient completes the test, the test results are comprehensively analyzed. Based on the analysis results, it is determined whether health education content needs to be pushed again, and the health education content in the health education knowledge base is adjusted accordingly. This invention intelligently pushes health education content and assessment processes based on risk assessment levels, improving the effectiveness of intelligent health education in hospitals. Attached Figure Description

[0041] Figure 1 This is a flowchart of a preferred embodiment of the fully closed-loop bedside health education interaction method of the present invention;

[0042] Figure 2 This is the overall architecture diagram of the fully closed-loop bedside health education interaction method of the present invention;

[0043] Figure 3 This is a flowchart of the assessment question uploading process in the fully closed-loop bedside health education interaction method of the present invention;

[0044] Figure 4This is a flowchart of the health education assessment process in the fully closed-loop bedside health education interaction method of the present invention;

[0045] Figure 5 This is a structural diagram of a preferred embodiment of the fully closed-loop bedside health education interactive system of the present invention;

[0046] Figure 6 This is a structural diagram of a preferred embodiment of the terminal of the present invention. Detailed Implementation

[0047] This application provides a fully closed-loop bedside health education interaction method, system, and terminal. To make the purpose, technical solution, and effects of this application clearer and more explicit, the following detailed description is provided with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only for explaining this application and are not intended to limit this application.

[0048] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the same meaning as in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as herein.

[0049] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0050] The preferred embodiment of the bedside health education interaction method of the present invention, such as... Figure 1 and Figure 2 As shown, the fully closed-loop bedside health education interaction method includes the following steps:

[0051] Step S10: Obtain the patient's status information, fill out the assessment questionnaire based on the status information, obtain the risk assessment result, and determine the risk level based on the risk assessment result.

[0052] Specifically, the patient's status information includes various aspects of the patient's physical health, such as self-care status, psychological status, and historical medical records. The assessment questionnaire is then filled out based on the status information to obtain the risk assessment results. The assessment questionnaire includes: a fall risk assessment scale, a pressure ulcer risk assessment scale, a nutritional risk screening assessment form, activity status, medication status, self-care status, and psychological status.

[0053] Furthermore, the results of the completed assessment questionnaire are integrated to obtain a risk assessment result. Based on the risk assessment result, the patient's risk level is determined, including: high risk, medium risk, and low risk. Different risk levels correspond to different health education content.

[0054] Step S20: Obtain the patient's medical order information, and match the corresponding health education content in the target health education knowledge base according to the status information, the risk level and the medical order information. The health education content includes push time, exclusive health education text and images, exclusive health education videos and exclusive health education assessment questions.

[0055] It is understood that the step of matching the corresponding health education content in the target health education knowledge base based on the status information, the risk level, and the medical order information also includes:

[0056] Upload health education texts and assessment questions to the health education knowledge base. The health education texts include: health education audio, personalized health education video, health education images, health education rich text, and health education PDF files.

[0057] Using a trained classification model, the health education images and texts and the assessment questions are automatically classified according to the health education category and the department category, resulting in classified health education images and texts and classified assessment questions.

[0058] The categorized health education images and texts and the categorized assessment questions are sent to medical staff for manual review. Once the review is approved, the reviewed health education images and texts and the reviewed assessment questions are obtained.

[0059] The reviewed health education images and texts and the reviewed assessment questions are bound together according to the classification results to obtain the target health education knowledge base.

[0060] In this embodiment, medical staff routinely maintain health education materials such as audio, video, images, rich text, and PDFs through the hospital's health education platform. This includes adding, deleting, and modifying health education categories, marking the relevant departments, uploading audio and video files, and editing rich text health education articles. After the basic health education content is generated, a content review process is conducted. Only after the content review is passed can it be pushed to the terminal devices.

[0061] like Figure 3 As shown, medical staff can initialize the question bank in the health education backend system and design corresponding test questions for different health education content. The question types include single-choice, multiple-choice, and true / false questions, and the question content includes voice, text, images, video animations, etc. After the question design is completed, the system will initiate a question content review process. Only after being approved by multiple levels of leaders can it be associated and bound to the corresponding health education content. If the review fails, the process can be returned to be edited and resubmitted for review.

[0062] Furthermore, the step of matching corresponding health education content in the target health education knowledge base based on the status information, the risk level, and the medical order information specifically includes:

[0063] A rule algorithm is generated based on the status information, the risk level, and the medical order information. The rule algorithm includes health education type, patient event, health education push time, and medical order matching logic. Based on the rule algorithm, corresponding health education content is matched in the target health education knowledge base.

[0064] Understandably, healthcare professionals can use the hospital's health education platform system to edit and maintain health education matching and generation rule algorithms based on three dimensions: patient status, risk assessment, and patient medical orders. These algorithm rules include: health education type, health education content, assessment items, patient events, health education push time, and medical order matching logic. Additionally, the system backend can customize and generate temporary or permanent health education content rules based on patient bed location, health education content, and health education time. Based on these rule algorithms, corresponding health education content is matched from the target health education knowledge base, dynamically generating personalized health education content for each patient.

[0065] Step S30: According to the push time, push the exclusive health education text and image and the exclusive health education video to the bedside terminal device of the corresponding patient for display. After receiving feedback from the patient that they have finished reading, push the exclusive health education assessment questions to the bedside terminal device for display.

[0066] The step of pushing the personalized health education text and images and the personalized health education video to the bedside terminal device of the corresponding patient for display according to the push time specifically includes:

[0067] When the push time is reached, the exclusive health education text and image and the exclusive health education video are pushed to the bedside terminal device of the corresponding patient, and the health education push status and the patient's receiving status are recorded.

[0068] If the health education push status is "pushed successfully" and the patient's reception status is "patient confirmed receipt", then the personalized health education text and images and the personalized health education videos will be displayed to the patient in a list for reading and learning, and the personalized health education text and images will be updated in real time according to the patient's condition.

[0069] Otherwise, a second compensation push operation will be performed after the first preset time interval until the personalized health education text and images are received by the patient.

[0070] In this embodiment, after the system backend generates health education content, it automatically pushes it to the bedside terminal device (such as an armrest screen, bedside card, etc.) bound to the patient's bed based on the patient information and push time. The patient's bedside terminal device will display the health education content in a list format according to the category and type of the health education content. The patient can clearly find and read the relevant content and can read it repeatedly. The system will dynamically generate corresponding health education content in real time based on the development of the patient's condition. The display of health education content is real-time and dynamic. Simultaneously, the system records the message push status and performs secondary compensation push operations based on the success or failure of the push until the health education content is accurately and timely pushed to the patient.

[0071] Furthermore, such as Figure 4 As shown, after receiving feedback from the patient that they have completed reading, the personalized health education assessment questions are pushed to the bedside terminal device for display. After the patient finishes reading the health education content, the system automatically displays questions related to the health education content (personalized health education assessment questions). The test process is similar to a level-based mode; the patient can only proceed to the next question after answering each question correctly. If an incorrect answer is made, the system will proactively prompt the patient whether they need to return to view the health education content. If the patient chooses yes, the system will automatically replay the health education content and restart the assessment process; if they choose no, they will exit the current assessment process. Patients can answer the questions truthfully according to their actual situation and submit them. The system backend will then determine whether further supplementary health education content needs to be pushed based on the patient's understanding of the answers.

[0072] The fully closed-loop bedside health education interaction method further includes: upon receiving feedback that the patient has interrupted or withdrawn from the test, recording the answer position when the patient interrupts or withdraws from the test, and automatically positioning the test content at the answer position when the patient takes the next test.

[0073] In this embodiment, when a patient answers a question incorrectly, the system automatically records a snapshot of all current questions and the patient's answering progress. When the patient takes a second test, the system will automatically display the previous snapshot and locate the question answered incorrectly, allowing the patient to continue with the subsequent assessment. This avoids the patient having to answer questions repeatedly and speeds up the entire assessment process.

[0074] Step S40: After receiving feedback from the patient that the test has been completed, the patient's test results are comprehensively analyzed to obtain analysis results. Based on the analysis results, it is determined whether health education content needs to be pushed again. The analysis results are then summarized to obtain summary data. Based on the summary data, the health education content in the health education knowledge base is adjusted.

[0075] Specifically, after receiving feedback from patients who have completed the test, the test results are comprehensively analyzed to determine the patient's mastery of the health education content. It is then determined whether the mastery level is below a first preset threshold. If so, the health education content is pushed again after a second preset time interval. The analysis results from multiple patients are then statistically summarized across multiple dimensions to obtain the overall pass rate, average pass rate, participation rate, and error rate for each test item. Test items with an error rate exceeding the second preset threshold are designated as items to be adjusted. The corresponding personalized health education text and images and videos for each item to be adjusted are then obtained, and adjustments are made to the items to be adjusted, as well as their corresponding personalized health education text and images and videos.

[0076] For example, if most patients do not fully understand a certain question (knowledge point) or do not answer it well, then this question is a question that needs adjustment. Obtain the corresponding health education text and graphics for the question that needs adjustment, and adjust the health education text and graphics accordingly. For example, focus on explaining this knowledge point in detail, and also update the corresponding test questions.

[0077] Specifically, the technical effects brought about by this invention include:

[0078] (1) Enhance patients’ health knowledge: Disease knowledge popularization: Through the intelligent health education system, patients can gain a deeper understanding of the causes, symptoms, treatment methods and prevention measures of various diseases; patients can clearly know the details of the treatment plan they are receiving, and provide patients with detailed rehabilitation plans and training methods.

[0079] (2) Improve the efficiency of medical and nursing work: reduce repetitive explanation work, and medical staff no longer need to spend a lot of time explaining the same basic health knowledge to each patient; intelligent health education content can serve as an effective auxiliary tool for communication between medical staff and patients; in addition to being used for patient health education, these intelligent health education resources can also be used as training materials for medical staff.

[0080] (3) Improve the quality of rehabilitation: The health education system utilizes the concept of pre-rehabilitation and increases patient participation through the implementation of rehabilitation health education and safety assessment, which is conducive to improving the implementation rate of rehabilitation exercises and the cure rate.

[0081] As can be seen, this invention, based on the current health education process, firstly adds intelligent push of health education content according to risk assessment level; secondly, it adds a health education question assessment process, where patients take in-class tests similar to the theory test for a driver's license. If they fail the test, they can immediately relearn and participate in the assessment until they pass. Medical staff can also use the system's assessment statistics to provide targeted secondary learning supervision and verbal instruction on health education content to patients. The aim is to improve patients' awareness of diseases and risks and their prevention awareness, promote patient recovery, strengthen doctor-patient communication and trust, and avoid harmful incidents.

[0082] Furthermore, such as Figure 5 As shown, based on the above-described closed-loop bedside health education interaction method, the present invention also provides a closed-loop bedside health education interaction system, wherein the closed-loop bedside health education interaction system includes:

[0083] The risk level determination module 51 is used to obtain the patient's status information, fill in the assessment questionnaire based on the status information, obtain the risk assessment result, and determine the risk level based on the risk assessment result.

[0084] The health education content matching module 52 is used to obtain the patient's medical order information and match the corresponding health education content in the target health education knowledge base according to the status information, the risk level and the medical order information. The health education content includes push time, exclusive health education text and images, exclusive health education videos and exclusive health education assessment questions.

[0085] The content display module 53 is used to push the exclusive health education text and images and the exclusive health education video to the bedside terminal device of the corresponding patient according to the push time. After receiving feedback from the patient that he / she has finished reading, the exclusive health education assessment questions are pushed to the bedside terminal device for display.

[0086] The result analysis and adjustment module 54 is used to comprehensively analyze the patient's test results after receiving feedback that the patient has completed the test, obtain analysis results, determine whether it is necessary to push health education content again based on the analysis results, summarize the analysis results to obtain summary data, and adjust the health education content of the health education knowledge base based on the summary data.

[0087] Furthermore, such as Figure 6 As shown, based on the above-mentioned fully closed-loop bedside interaction method and system for health education, the present invention also provides a terminal, which includes a processor 10, a memory 20 and a display 30. Figure 6 Only some of the terminal components are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0088] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory. In other embodiments, the memory 20 may be an external storage device of the terminal, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the terminal. Further, the memory 20 may include both internal and external storage devices. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code installed on the terminal. The memory 20 can also be used to temporarily store data that has been output or will be output. In one embodiment, the memory 20 stores a fully closed-loop bedside health education interaction program 40, which can be executed by the processor 10 to implement the fully closed-loop bedside health education interaction method of this application.

[0089] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in the memory 20 or process data, such as executing the fully closed-loop bedside health education interaction method.

[0090] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display 30 is used to display information on the terminal and to display a visual user interface. The components of the terminal communicate with each other via a system bus.

[0091] In one embodiment, when the processor 10 executes the fully closed-loop bedside health education interaction program 40 in the memory 20, the following steps are performed:

[0092] Obtain the patient's status information, fill out the assessment questionnaire based on the status information, obtain the risk assessment results, and determine the risk level based on the risk assessment results;

[0093] Obtain the patient's medical order information, and match the corresponding health education content in the target health education knowledge base based on the status information, the risk level, and the medical order information. The health education content includes push time, personalized health education text and images, personalized health education videos, and personalized health education assessment questions.

[0094] According to the push time, the personalized health education text and images and the personalized health education video are pushed to the bedside terminal device of the corresponding patient for display. After receiving feedback from the patient that they have finished reading, the personalized health education assessment questions are pushed to the bedside terminal device for display.

[0095] After receiving feedback from the patient upon completion of the test, the patient's test results are comprehensively analyzed to obtain analysis results. Based on the analysis results, it is determined whether health education content needs to be pushed again. The analysis results are then summarized to obtain summary data, and the health education content in the health education knowledge base is adjusted based on the summary data.

[0096] Specifically, the process of completing the assessment questionnaire based on the status information to obtain a risk assessment result, and determining the risk level based on the risk assessment result, includes:

[0097] The assessment questionnaire is filled out based on the status information. The assessment questionnaire includes: fall risk assessment scale, pressure ulcer risk assessment scale, nutritional risk screening assessment form, activity status, medication status, self-care status and psychological status.

[0098] The results of the completed assessment questionnaire are integrated to obtain the risk assessment results. The risk level of the patient is determined based on the risk assessment results. The risk level includes: high risk, medium risk and low risk.

[0099] Different risk levels correspond to different health education content.

[0100] The step of matching corresponding health education content in the target health health education knowledge base based on the status information, the risk level, and the medical order information also includes, prior to:

[0101] Upload health education texts and assessment questions to the health education knowledge base. The health education texts include: health education audio, personalized health education video, health education images, health education rich text, and health education PDF files.

[0102] Using a trained classification model, the health education images and texts and the assessment questions are automatically classified according to the health education category and the department category, resulting in classified health education images and texts and classified assessment questions.

[0103] The categorized health education images and texts and the categorized assessment questions are sent to medical staff for manual review. Once the review is approved, the reviewed health education images and texts and the reviewed assessment questions are obtained.

[0104] The reviewed health education images and texts and the reviewed assessment questions are bound together according to the classification results to obtain the target health education knowledge base.

[0105] Specifically, the step of matching corresponding health education content in the target health education knowledge base based on the status information, the risk level, and the medical order information includes:

[0106] A rule algorithm is generated based on the status information, the risk level, and the medical order information. The rule algorithm includes health education type, patient event, health education push time, and medical order matching logic.

[0107] According to the rule algorithm, the corresponding health education content is matched in the target health education knowledge base.

[0108] Specifically, the step of pushing the personalized health education text and images and the personalized health education video to the bedside terminal device of the corresponding patient for display according to the push time includes:

[0109] When the push time is reached, the exclusive health education text and image and the exclusive health education video are pushed to the bedside terminal device of the corresponding patient, and the health education push status and the patient's receiving status are recorded.

[0110] If the health education push status is "pushed successfully" and the patient's reception status is "patient confirmed receipt", then the personalized health education text and images and the personalized health education videos will be displayed to the patient in a list for reading and learning, and the personalized health education text and images will be updated in real time according to the patient's condition.

[0111] Otherwise, a second compensation push operation will be performed after the first preset time interval until the personalized health education text and images are received by the patient.

[0112] The fully closed-loop bedside health education interaction method further includes:

[0113] Upon receiving feedback from the patient that they have interrupted or withdrawn from the test, the system records the position of the answers taken when the patient interrupts or withdraws from the test. When the patient takes the test again, the test content will be automatically located at the recorded answer position.

[0114] The process of comprehensively analyzing patient test results to obtain analysis results, determining whether health education content needs to be pushed again based on the analysis results, summarizing the analysis results to obtain summary data, and adjusting the health education content of the health education knowledge base based on the summary data specifically includes:

[0115] The patient's test results are comprehensively analyzed to obtain the patient's mastery of the health education content. It is then determined whether the mastery level is lower than a first preset threshold. If so, the health education content is pushed again after a second preset time interval.

[0116] The analysis results of multiple patients were statistically summarized and analyzed from multiple dimensions to obtain the overall pass rate, average pass rate, participation rate, and error rate of each test item.

[0117] The assessment questions with an error rate exceeding the second preset threshold are designated as questions to be adjusted. The corresponding exclusive health education text and images and exclusive health education videos are obtained for the questions to be adjusted, and the questions to be adjusted, the corresponding exclusive health education text and images and exclusive health education videos are adjusted accordingly.

[0118] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a fully closed-loop health education bedside interaction program, which, when executed by a processor, implements the steps of the fully closed-loop health education bedside interaction method as described above.

[0119] In summary, this invention proposes a fully closed-loop bedside interactive method, system, terminal, and storage medium for health education. The method includes: acquiring the patient's status information; completing an assessment questionnaire based on the status information to obtain a risk assessment result; and determining the risk level based on the risk assessment result. It also includes: acquiring the patient's medical order information; matching corresponding health education content from a target health education knowledge base based on the status information, risk level, and medical order information; pushing the personalized health education text and images to the corresponding patient's bedside terminal device according to the push time; pushing the personalized health education assessment questions to the bedside terminal device after receiving feedback from the patient that they have completed reading; and comprehensively analyzing the patient's test results after receiving feedback from the patient that they have completed the test, and adjusting the health education content in the health education knowledge base based on the analysis results. This invention adds intelligent push notifications of health education content and assessment processes based on risk assessment levels, improving the effectiveness of intelligent health education in hospitals.

[0120] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal that includes that element.

[0121] Of course, those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0122] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A fully closed-loop bedside health education interaction method, characterized in that, The described closed-loop bedside health education interaction method includes: Obtain the patient's status information, fill out the assessment questionnaire based on the status information, obtain the risk assessment results, and determine the risk level based on the risk assessment results; Obtain the patient's medical order information, and match the corresponding health education content in the target health education knowledge base based on the status information, the risk level, and the medical order information. The health education content includes push time, personalized health education text and images, personalized health education videos, and personalized health education assessment questions. According to the push time, the personalized health education text and images and the personalized health education video are pushed to the bedside terminal device of the corresponding patient for display. After receiving feedback from the patient that they have finished reading, the personalized health education assessment questions are pushed to the bedside terminal device for display. After receiving feedback from the patient upon completion of the test, the patient's test results are comprehensively analyzed to obtain analysis results. Based on the analysis results, it is determined whether health education content needs to be pushed again. The analysis results are then summarized to obtain summary data, and the health education content in the health education knowledge base is adjusted based on the summary data.

2. The fully closed-loop bedside health education interaction method according to claim 1, characterized in that, The process of completing the assessment questionnaire based on the status information to obtain a risk assessment result, and determining the risk level based on the risk assessment result, specifically includes: The assessment questionnaire is filled out based on the status information. The assessment questionnaire includes: fall risk assessment scale, pressure ulcer risk assessment scale, nutritional risk screening assessment form, activity status, medication status, self-care status and psychological status. The results of the completed assessment questionnaire are integrated to obtain the risk assessment results. The risk level of the patient is determined based on the risk assessment results. The risk level includes: high risk, medium risk and low risk. Different risk levels correspond to different health education content.

3. The fully closed-loop bedside health education interaction method according to claim 1, characterized in that, The step of matching corresponding health education content in the target health health education knowledge base based on the status information, the risk level, and the medical order information also includes: Upload health education texts and assessment questions to the health education knowledge base. The health education texts include: health education audio, personalized health education video, health education images, health education rich text, and health education PDF files. Using a trained classification model, the health education images and texts and the assessment questions are automatically classified according to the health education category and the department category, resulting in classified health education images and texts and classified assessment questions. The categorized health education images and texts and the categorized assessment questions are sent to medical staff for manual review. Once the review is approved, the reviewed health education images and texts and the reviewed assessment questions are obtained. The reviewed health education images and texts and the reviewed assessment questions are linked according to the classification results. Obtain the target health education knowledge base.

4. The fully closed-loop bedside health education interaction method according to claim 1, characterized in that, The step of matching corresponding health education content in the target health health education knowledge base based on the status information, the risk level, and the medical order information specifically includes: A rule algorithm is generated based on the status information, the risk level, and the medical order information. The rule algorithm includes health education type, patient event, health education push time, and medical order matching logic. According to the rule algorithm, the corresponding health education content is matched in the target health education knowledge base.

5. The fully closed-loop bedside health education interaction method according to claim 1, characterized in that, The step of pushing the personalized health education text and images and the personalized health education video to the bedside terminal device of the corresponding patient for display according to the push time specifically includes: When the push time is reached, the exclusive health education text and image and the exclusive health education video are pushed to the bedside terminal device of the corresponding patient, and the health education push status and the patient's receiving status are recorded. If the health education push status is "pushed successfully" and the patient's reception status is "patient confirmed receipt", then the personalized health education text and images and the personalized health education videos will be displayed to the patient in a list for reading and learning, and the personalized health education text and images will be updated in real time according to the patient's condition. Otherwise, a second compensation push operation will be performed after the first preset time interval until the personalized health education text and images are received by the patient.

6. The fully closed-loop bedside health education interaction method according to claim 1, characterized in that, The fully closed-loop bedside health education interaction method also includes: Upon receiving feedback from the patient that they have interrupted or withdrawn from the test, the system records the position of the answers taken when the patient interrupts or withdraws from the test. When the patient takes the test again, the test content will be automatically located at the recorded answer position.

7. The fully closed-loop bedside health education interaction method according to claim 1, characterized in that, The process involves comprehensively analyzing the patient's test results to obtain analysis results, determining whether health education content needs to be pushed again based on the analysis results, summarizing the analysis results to obtain summary data, and adjusting the health education content in the health education knowledge base based on the summary data. Specifically, this includes: The patient's test results are comprehensively analyzed to obtain the patient's mastery of the health education content. It is then determined whether the mastery level is lower than a first preset threshold. If so, the health education content is pushed again after a second preset time interval. The analysis results of multiple patients were statistically summarized and analyzed from multiple dimensions to obtain the overall pass rate, average pass rate, participation rate, and error rate of each test item. The assessment questions with an error rate exceeding the second preset threshold are designated as questions to be adjusted. The corresponding exclusive health education text and images and exclusive health education videos are obtained for the questions to be adjusted, and the questions to be adjusted, the corresponding exclusive health education text and images and exclusive health education videos are adjusted accordingly.

8. A fully closed-loop bedside health education interactive system, characterized in that, The fully closed-loop bedside health education interaction system includes: The risk level determination module is used to obtain the patient's status information, fill out the assessment questionnaire based on the status information, obtain the risk assessment result, and determine the risk level based on the risk assessment result. The health education content matching module is used to obtain the patient's medical order information and match the corresponding health education content in the target health education knowledge base based on the status information, the risk level, and the medical order information. The health education content includes push time, exclusive health education text and images, exclusive health education videos, and exclusive health education assessment questions. The content display module is used to push the exclusive health education text and images and the exclusive health education video to the bedside terminal device of the corresponding patient according to the push time. After receiving feedback from the patient that he / she has finished reading, the exclusive health education assessment questions are pushed to the bedside terminal device for display. The results analysis and adjustment module is used to comprehensively analyze the patient's test results after receiving feedback from the patient who has completed the test, obtain analysis results, determine whether it is necessary to push health education content again based on the analysis results, summarize the analysis results to obtain summary data, and adjust the health education content of the health education knowledge base based on the summary data.

9. A terminal, characterized in that, The terminal includes: a memory, a processor, and a fully closed-loop bedside interactive program for health education stored in the memory and executable on the processor. When the fully closed-loop bedside interactive program for health education is executed by the processor, it implements the steps of the fully closed-loop bedside interactive method for health education as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a fully closed-loop bedside interaction program for health education, which, when executed by a processor, implements the steps of the fully closed-loop bedside interaction method for health education as described in any one of claims 1-7.

Images