Intelligent management method and intelligent management system for reservation number taking in radiology department
Through intelligent management methods and systems, visual processing and coordination analysis, the problem of large and inefficient communication during the appointment process of radiology department was solved, and intelligent management of appointment number collection was realized, and communication efficiency and accuracy of inspection preparation were improved.
Patent Information
- Application Number
- CN202510105090.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-23
- Publication Date
- 2025-06-24
AI Technical Summary
During the appointment process of the radiology department, the user's communication volume is large and inefficient, which leads to an increase in the possibility of medical disputes. The precautions for different imaging methods vary greatly, the explanation process is unclear, and the workload is huge.
It provides an intelligent management method and system. By obtaining the checklist and appointment information of the target user, applying a predetermined visual strategy for visual processing, generating dynamic views, obtaining target prompt information, combining the user's prompt processing records, analyzing the coordination degree, and adjusting the initial inspection preparation plan, monitoring the inspection preparation situation in real time, and dynamically displaying the inspection progress.
It effectively reduces the amount of communication between users during the inspection and appointment process, improves communication efficiency, reduces the possibility of medical disputes, ensures that users complete inspection preparations as required, and realizes intelligent management of appointment number collection.
Smart Images
Figure CN120199433A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of number-taking management, and particularly relates to an intelligent management method and an intelligent management system for radiology appointment number-taking. Background Art
[0002] In traditional radiology number-taking, due to excessive examination items and differences in examination progress in different examination rooms, medical workers often need to give oral explanations, which is accompanied by a certain possibility of medical disputes. In addition, since radiology involves different imaging methods such as DR, CT, and MRI, the precautions are also very different, which easily causes problems such as unclear explanation process and huge workload. Summary of the Invention
[0003] The present application provides an intelligent management method and an intelligent management system for radiology appointment number-taking, which are used to solve the technical problems in the prior art that there is a large amount of communication and inefficiency during the examination appointment process for users.
[0004] In view of the above problems, the present application provides an intelligent management method and an intelligent management system for radiology appointment number-taking.
[0005] In the first aspect of the present application, an intelligent management method for radiology appointment number-taking is provided. The method includes:
[0006] Obtaining a target user form of a target user, where the target user form includes a target examination item and an initial examination preparation plan; introducing a predetermined visual strategy to perform visual processing and analysis on multi-source appointment information of the target examination item to obtain a target dynamic visual diagram; obtaining a target appointment form of the target user, and combining the target dynamic visual diagram to obtain target prompt information, where the target prompt information includes target prompt items; obtaining a prompt processing record of the target user for processing the target prompt items, and analyzing the prompt processing record to obtain a target cooperation degree; adjusting the initial examination preparation plan according to the target cooperation degree to obtain a target examination preparation plan; monitoring and obtaining dynamic examination information of the target user for examination based on the target examination preparation plan, and synchronously displaying the dynamic examination information.
[0007] In the second aspect of the present application, an intelligent management system for radiology appointment number-taking is provided. The system includes:
[0008] User single acquisition module, which is used to acquire the target user single of the target user. Among them, the target user single includes target inspection items and an initial inspection preparation plan; Visualization processing module, which is used to introduce a predetermined visual strategy to perform visualization processing and analysis on the multi-source appointment information of the target inspection items to obtain a target dynamic view; Target prompt information acquisition module, which is used to acquire the target appointment form of the target user and obtain target prompt information in combination with the target dynamic view. Among them, the target prompt information includes target prompt matters; Analysis module, which is used to acquire the prompt processing record of the target user for processing the target prompt matters and analyze the prompt processing record to obtain a target cooperation degree; Adjustment module, which is used to adjust the initial inspection preparation plan according to the target cooperation degree to obtain a target inspection preparation plan; Monitoring module, which is used to monitor and obtain the dynamic inspection information of the target user for inspection based on the target inspection preparation plan and synchronously display the dynamic inspection information.
[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:
[0010] This application acquires the target user single of the target user. Among them, the target user single includes target inspection items and an initial inspection preparation plan; introduces a predetermined visual strategy to perform visualization processing and analysis on the multi-source appointment information of the target inspection items to obtain a target dynamic view; acquires the target appointment form of the target user and obtains target prompt information in combination with the target dynamic view. Among them, the target prompt information includes target prompt matters; acquires the prompt processing record of the target user for processing the target prompt matters and analyzes the prompt processing record to obtain a target cooperation degree; adjusts the initial inspection preparation plan according to the target cooperation degree to obtain a target inspection preparation plan; monitors and obtains the dynamic inspection information of the target user for inspection based on the target inspection preparation plan and synchronously displays the dynamic inspection information. The present invention solves the technical problem in the prior art that there is a large amount of communication and inefficiency during the inspection appointment process. By acquiring the inspection form and appointment information of the target user, applying a predetermined visual strategy to visually process the appointment data, generating a dynamic view, and then obtaining target prompt information, combining the prompt processing record of the user, analyzing to obtain the target cooperation degree, and then adjusting the initial inspection preparation plan, by real-time monitoring the inspection preparation situation of the user and dynamically displaying the inspection progress, it ensures that the user completes the preparation as required, achieving the technical effect of intelligent management of appointment number taking. Description of the Drawings
[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.
[0012] Figure 1 Schematic flow diagram of an intelligent management method for radiology appointment number taking provided by an embodiment of the present application;
[0013] Figure 2 Schematic structural diagram of an intelligent management system for radiology appointment number taking provided by an embodiment of the present application.
[0014] Explanation of reference numerals: user form acquisition module 11, visualization processing module 12, target prompt information acquisition module 13, analysis module 14, adjustment module 15, monitoring module 16. Detailed implementation manners
[0015] The present application provides an intelligent management method and an intelligent management system for radiology appointment number taking. To solve the technical problem in the prior art that there is a large amount of communication and inefficiency during the inspection appointment process for users, by obtaining the inspection form and appointment information of the target user, applying a predetermined visual strategy to visually process the appointment data, generating a dynamic visual graph, and then obtaining the target prompt information, combining with the prompt processing records of the user, analyzing to obtain the target cooperation degree, and then adjusting the initial inspection preparation plan, and by real-time monitoring the inspection preparation situation of the user and dynamically displaying the inspection progress, ensuring that the user completes the preparation as required, achieving the technical effect of intelligent management of appointment number taking.
[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts belong to the scope of protection of the present application.
[0017] It should be noted that any variations of the terms "including" and "having" are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products, or devices.
[0018] Embodiment 1, as Figure 1 shown, the present application provides an intelligent management method for radiology appointment number taking, and the method includes:
[0019] Step S100: Obtain the target user list of the target user, where the target user list includes target inspection items and an initial inspection preparation plan.
[0020] In the embodiment of the present application, first, by docking with the hospital's management system, obtain the basic information of the target user. This information comes from the registration of the user on the self-service machine or the mobile terminal, including the user's identity identifier (such as ID number, hospital inpatient number, etc.) and the user's inspection requirements.
[0021] After obtaining the information of the target user, extract the target inspection items according to the inspection list issued by the doctor, that is, the specific inspection items that the user needs to perform, such as CT scan or MRI, etc. At this time, automatically extract from the hospital's database the inspection items that match the user's health status, and these items are determined according to the doctor's diagnosis.
[0022] Generate an initial inspection preparation plan automatically according to the nature of the target inspection items. This plan includes the preliminary preparation work required for the user to perform the inspection. For example, a CT examination may require the user to fast, while an MRI examination may require the removal of metal objects, and other items may have different preparation requirements.
[0023] Step S200: Introduce a predetermined visual strategy to perform visual processing and analysis on the multi-source appointment information of the target inspection items to obtain a target dynamic view.
[0024] In the embodiment of the present application, first obtain the target screening settings of the target user, including the settings of the user for the predetermined appointment characteristics, such as the appointment time period and the appointment doctor, etc. Next, according to these target screening settings, combined with the predetermined visual strategy, perform screening and visual processing on the multi-source appointment information. The predetermined visual strategy is a preset rule, mainly used to guide how to display the multi-source appointment data according to the target screening. Specifically, the predetermined visual strategy screens the multi-source data based on the user's preferences and decides which information needs to be displayed. For example, if the user selects a certain time period and a specific doctor, all the available appointment situations within that time period will be screened out, and the available time slots of that doctor will be clearly displayed.
[0025] After screening, process this information through a visualization algorithm to generate a target dynamic view. The target dynamic view is a graphical interface that displays the appointment information of the target inspection items, including the appointment situations of each time period and the available appointment status of the doctor, etc.
[0026] Furthermore, in the method provided by the embodiment of the application, introducing a predetermined visual strategy to perform visual processing and analysis on the multi-source appointment information of the target inspection items to obtain a target dynamic view further includes:
[0027] Obtain the target screening settings of the target user; according to the predetermined visual strategy, perform screening and visualization processing on the multi-source appointment information with the target screening settings as a constraint to obtain the target dynamic visualization diagram.
[0028] Further, the method provided by the application embodiment further includes:
[0029] The target screening settings include the settings of the target user for predetermined appointment features, where the predetermined appointment features at least include appointment time periods and appointed physicians.
[0030] In the embodiment of the present application, first, through interface interaction with the user management platform, obtain the target screening settings of the target user, which include the user's personalized selection of predetermined appointment features, such as appointment time periods and appointed physicians. These screening settings are input by the user through a self-service appointment terminal, a mobile application, or an interaction interface when the doctor issues an order, specifically referring to the time period the user hopes to make an appointment (such as from 10:00 am to 12:00 pm) and the designated doctor.
[0031] Subsequently, according to the target screening settings set by the user, combined with the predetermined visual strategy, screen and analyze the multi-source appointment information. The predetermined visual strategy is a pre-designed set of rules used to guide how to screen and prioritize multi-source data according to the user's preferences. The multi-source appointment information usually comes from the hospital's doctor schedule, etc. The predetermined visual strategy takes the target screening settings as input conditions and screens out time periods, physicians, and examination resources that meet the user's needs. For example, if a certain physician has been booked during the time period selected by the user, alternative time periods or other physicians are recommended according to the strategy.
[0032] After the screening is completed, use data visualization technology to process the results and generate an intuitive target dynamic visualization diagram. The process of data visualization uses forms such as heat maps, time axis distribution diagrams, or bar charts to intuitively display information such as appointment time periods and physician status.
[0033] Step S300: Obtain the target appointment form of the target user, and combine it with the target dynamic visualization diagram to obtain target prompt information, where the target prompt information includes target prompt items.
[0034] In the embodiment of the present application, first extract the appointment information of the target user through the hospital's appointment management system, including the examination items selected by the user, the appointment time period, and the designated physician. According to the extracted information, generate the target appointment form of the target user, and the target appointment form contains all the information required for the appointment, such as the specific time period of the appointment, the doctor, and the relevant examination items.
[0035] Next, combine the target appointment form with the previously generated target dynamic visual view. Based on the target appointment time period and the physician, obtain the appointment information of the physician during this time period. At the same time, calculate the target number of waiting patients during this time period, and add this information to the target prompt message. Next, traverse the examination item database to find the target prompt items related to the target examination item. These prompt items include preparation requirements before the examination (such as fasting, water deprivation, etc.), special attention matters, or other examination-related guidance. Finally, add these target prompt items to the target prompt message to form a complete target prompt message, so as to provide users with comprehensive preparations and reminders related to the appointment.
[0036] Further, in the method provided by the application embodiment, obtaining the target appointment form of the target user and combining it with the target dynamic visual view to obtain the target prompt message further includes:
[0037] Extract the target appointment physician and the target appointment time period from the target appointment form; combine the target dynamic visual view to obtain the appointment information of the target appointment physician during the target appointment time period, and obtain the target number of waiting patients; add the target number of waiting patients to the target prompt message.
[0038] In the embodiment of the present application, first extract the key information of the user's appointment from the target appointment form, including the target appointment physician and the target appointment time period. The target appointment form is a digital record generated during the user's appointment process, covering the specific arrangements of the examination. The target appointment physician is the doctor designated by the user during the appointment, and the target appointment time period is the time period selected by the user, such as 10:00 to 11:00 in the morning. This information is obtained through the interface with the hospital appointment management system.
[0039] Next, combine the above information with the previously generated target dynamic visual view. The target dynamic visual view is the display result after visualizing multi-source appointment data, which can intuitively present the appointment status of the current examination item and the physician's schedule information. In this process, through the matching query of the target appointment time period and the target appointment physician, obtain the appointment information of the physician during this time period, and further calculate the target number of waiting patients during this time period. The target number of waiting patients is the number of users who have made appointments during the current time period, which directly reflects the queuing situation that the user may face. This step uses database query and real-time data statistics technology to dynamically generate the waiting number data by matching the appointment time period and the physician's schedule record.
[0040] Subsequently, the calculated target waiting number of patients is added to the target prompt message, and a prompt message containing multiple pieces of content is generated. This prompt message not only tells the user the currently reserved doctor and time period but also provides the waiting number of patients, helping the user reasonably arrange the arrival time to avoid arriving too early or too late, thereby improving the examination efficiency. In addition, the waiting number of patients part in the target prompt message can be updated in real time through dynamic refreshing technology to ensure the timeliness of the prompt message.
[0041] Through the above steps, the whole process of extracting information from the target reservation form, analyzing it in combination with the target dynamic view, and finally generating the target prompt message is realized.
[0042] Furthermore, in the method provided by the application embodiment, obtaining the target reservation form of the target user and obtaining the target prompt message in combination with the target dynamic view further includes:
[0043] Traverse in the examination item database to obtain the target prompt items of the target examination item; add the target prompt items to the target prompt message.
[0044] In the embodiment of the present application, first enter the examination item database for traversal search. The examination item database is a structured storage system that contains detailed information on all examination items, including preparation requirements before the examination, precautions during the examination, and other important tips related to the examination. These prompt items are pre-configured according to the characteristics of different examination items and the hospital's standard operating procedures (SOP). For example, certain examination items may require the patient to fast for a certain period before the examination (such as abdominal CT), or remove metal items during the examination (such as MRI).
[0045] During the traversal process, locate the corresponding prompt message entry by matching the identifier of the target examination item (such as the examination item code or name). The target examination item is the specific examination type selected by the user during the reservation, such as X-ray, CT, MRI, etc. According to the characteristics of the target examination item, extract the target prompt items related to it. These target prompt items usually include preparation requirements before the examination (such as fasting, drinking water prohibition, taking specific drugs, etc.), cooperation requirements during the examination (such as breath-holding time, keeping still, etc.), and precautions that may be required after the examination (such as waiting for the imaging results, etc.).
[0046] Next, the extracted target prompt items are integrated and added to the target prompt message. The target prompt message is a comprehensive examination guide generated for the user, which contains dynamic information such as the doctor information, time period, and waiting number of patients reserved by the user, as well as the static prompt items extracted from the examination item database.
[0047] Step S400: Obtain the prompt processing record of the target user for processing the target prompt item, and analyze the prompt processing record to obtain the target cooperation degree.
[0048] In the embodiment of the present application, first, the prompt processing record of the target user for processing the target prompt item is obtained. This step extracts data from the user interaction record database, and the record contains how the user responds and processes these items after receiving the target prompt item. These records include the behavioral data of the user completing the prompt item, such as whether they complete the preparation on time (such as fasting, water deprivation), whether they cooperate with the requirements during the inspection (such as holding breath time, maintaining posture, etc.), and the user's feedback (such as mood, etc.).
[0049] Then, the mental state, physical state, and cooperation behavior of the user are extracted from each prompt processing record. These data respectively reflect the user's emotional reaction, physical condition, and behavior execution. Then, based on the predetermined physiological characteristics, feature extraction and weighting are performed on the user's physical state to calculate a physiological index, and a cooperation coefficient is generated according to the user's cooperation behavior. By weighted calculation of these data, the cooperation degree of each prompt item is obtained, and this cooperation degree comprehensively reflects the user's preparation in terms of psychology, physiology, and behavior.
[0050] Finally, the average value of the cooperation degrees of all prompt items is used as the target cooperation degree.
[0051] Further, in the method provided by the embodiment of the application, obtaining the prompt processing record of the target user for processing the target prompt item and analyzing the prompt processing record to obtain the target cooperation degree further includes:
[0052] Obtain the first prompt item in the target prompt item; match the first processing record of the first prompt item in the prompt processing record, where the first processing record includes the first processing mental state, the first processing physical state, and the first cooperation behavior; read the predetermined physiological characteristics, and perform feature extraction and weighting on the first processing physical state based on the predetermined physiological characteristics to obtain the first physiological index; combine the first cooperation behavior to determine the first cooperation coefficient, and use the first cooperation coefficient as the weight to perform weighting on the first mental index and the first physiological index in the first processing mental state to obtain the first cooperation degree; take the average value of the cooperation degrees of the first cooperation degree as the target cooperation degree.
[0053] In the embodiment of the present application, first, the first prompt item in the target prompt item is randomly extracted. This process randomly extracts the first task from the target prompt item list through a random selection algorithm, such as fasting, removing metal items before inspection, etc. This process ensures that each target prompt item has the opportunity to be independently processed. Through this process, the first prompt item is obtained.
[0054] Next, match the first processing record of the first prompt item in the prompt processing record. After the user completes the target prompt item, look up the processing record corresponding to the first prompt item in the prompt processing record database. The prompt processing record contains the actual behaviors and feedback data of the user during the process of handling the prompt item. For example, whether the user fasts on time, whether they cooperate with the examination as required, etc. Through this process, the first processing record matching the first prompt item is obtained, which includes the first processing mental state (such as the degree of anxiety or stress), the first processing physiological state (such as physical sign data such as heart rate and blood pressure), and the first cooperation behavior (such as whether to fast on time, whether to complete the task as required).
[0055] Subsequently, read the predetermined physiological characteristics and perform feature extraction weighting on the first processing physiological state based on these characteristics to obtain the first physiological index. The predetermined physiological characteristics are standard healthy data models, including physiological parameters such as normal blood pressure and heart rate. By comparing the first processing physiological state (such as heart rate, blood pressure, etc.) uploaded by the user with these standard physiological characteristics, the first physiological index is calculated using weighted calculation. Among them, the weight of each parameter is the same.
[0056] Next, determine the first cooperation coefficient in combination with the first cooperation behavior. This process evaluates the execution of the user when handling the target prompt item through the behavior scoring method. The cooperation coefficient is scored according to whether the user completes the task on time and as required. If it fully meets the requirements, the cooperation coefficient is close to 1; if it deviates from the requirements, the cooperation coefficient is lower. Through this method, the user's behavior performance is quantified, and the first cooperation coefficient is obtained.
[0057] Then, using the first cooperation coefficient as the weight, perform weighted calculation on the first mental index and the first physiological index in the first processing mental state, and finally obtain the first cooperation degree. Specifically, through the weighted method, the user's mental and physiological states are comprehensively considered. The mental index is obtained through a questionnaire survey and reflects the user's emotional state, such as anxiety and tension; the physiological index is obtained by comparing the user's physiological data with the preset standard and reflects the user's physical preparation. Through weighting, the first cooperation degree is obtained.
[0058] Finally, calculate the average value of the cooperation degrees of all target prompt items to obtain the final target cooperation degree.
[0059] Furthermore, in the method provided by the application embodiment, after taking the average value of the cooperation degrees of the first cooperation degree as the target cooperation degree, it further includes:
[0060] Obtain the historical records of the items already examined by the target user in a predetermined period, and extract the first historical record of the first examination item in the historical records of the items already examined; extract the first examination process data in the first historical record, and retrieve a predetermined index to analyze the first examination process data to obtain a first index parameter; extract the first examination satisfaction degree in the first historical record; perform a weighted calculation on the normalized first index parameter and the first examination satisfaction degree to obtain a first historical examination feedback coefficient; adjust the target cooperation degree according to the first historical examination feedback coefficient.
[0061] Further, the method provided by the application embodiment further includes:
[0062] The predetermined index includes the examination success rate, the examination duration, and the examination image quality.
[0063] In the embodiment of the present application, first, by connecting to the database of the hospital management system or the health record management system, obtain the historical records of the items already examined by the target user in a predetermined period. Next, extract the historical record of the first examination item that is the closest from the historical records of the items already examined. This "first" refers to the closest or most recent examination record in the user's historical records. For example, if the user has recently undergone an examination, select the examination record with the closest time according to the timestamp from all historical records as the "first historical record". The first historical record includes the detailed data of the user's completion of a certain examination item, such as the examination time, etc.
[0064] Subsequently, extract the first examination process data in the first historical record, and retrieve a predetermined index to analyze the first examination process data. The predetermined index includes the examination success rate (whether the examination is successfully completed and the result is valid), the examination duration (the time required to complete the examination), and the examination image quality (the clarity and accuracy of the image of the examination result). By traversing and analyzing the examination process data, calculate the corresponding values for each predetermined index. The examination success rate is judged by evaluating whether the examination is successfully completed and obtaining valid data, and is rated as successful or failed according to the marks recorded during the examination process. The examination duration is obtained by calculating the start time and end time of the examination to obtain the total duration. If the examination process includes multiple links, count the duration of each link and calculate the total duration. The examination image quality is automatically evaluated for the images generated during the examination process through image processing technology, and algorithms such as signal-to-noise ratio (SNR) analysis, edge detection, and blur detection are used to quantitatively evaluate the image quality. Through these analyses, calculate the corresponding parameters for each predetermined index, and perform normalization processing on each index to ensure that the data of different indexes can be compared within the same range. Through this process, obtain the normalized first index parameter.
[0065] Meanwhile, extract the first inspection satisfaction degree from the first historical record. This indicator reflects the user's subjective feelings about the inspection process, including evaluations of medical staff services, inspection environment, and results, and is usually recorded in the database through questionnaires or scoring systems, with scores ranging from 0 to 1.
[0066] Subsequently, perform a weighted calculation on the normalized first indicator parameter and the first inspection satisfaction degree to generate the first historical inspection feedback coefficient. Specifically, by performing a weighted sum of the inspection success rate, inspection duration, inspection image quality in the first indicator parameter, and the first inspection satisfaction degree, the first historical inspection feedback coefficient is obtained. Among them, the weights of the inspection success rate, inspection duration, inspection image quality, and the first inspection satisfaction degree are the same.
[0067] Finally, adjust the target cooperation degree according to the first historical inspection feedback coefficient, that is, multiply the first historical inspection feedback coefficient by the target cooperation degree to complete the adjustment of the target cooperation degree and obtain the adjusted target cooperation degree.
[0068] Step S500: Adjust the initial inspection preparation plan according to the target cooperation degree to obtain the target inspection preparation plan.
[0069] In the embodiment of the present application, when adjusting the initial inspection preparation plan according to the target cooperation degree, first compare the target cooperation degree with a predetermined cooperation threshold, where the predetermined cooperation threshold is a preset cooperation degree standard. If the target cooperation degree does not meet the predetermined threshold, issue a cooperation reminder instruction to prompt that there are problems in the inspection preparation process for the user and recommend that they take improvement measures. Based on this cooperation reminder instruction, perform cooperation guidance and control on the target user, such as by providing specific guidance information, increasing step descriptions, or adjusting the preparation time, etc., to help the user improve the cooperation degree. Through these guidance and control, finally obtain the target inspection preparation plan.
[0070] If the target cooperation degree meets the predetermined threshold, it is considered that the user's inspection preparation situation has reached the standard and no further adjustment is required. At this time, use the initial inspection preparation plan as the target inspection preparation plan.
[0071] Furthermore, the method provided by the embodiment of the application further includes:
[0072] Obtain the predetermined cooperation threshold; determine whether the target cooperation degree meets the predetermined cooperation threshold; if the target cooperation degree does not meet the predetermined cooperation threshold, issue a cooperation reminder instruction; perform cooperation guidance and control on the target user based on the cooperation reminder instruction.
[0073] In the embodiment of the present application, first obtain the preset predetermined cooperation threshold. This threshold is a preset target cooperation degree standard preset by technical experts.
[0074] Next, the target compliance is compared with a predetermined compliance threshold. If the target compliance is higher than the predetermined compliance threshold, it is considered to meet the predetermined compliance threshold; if it is lower than the predetermined compliance threshold, it is considered not to meet the predetermined compliance threshold.
[0075] When the target compliance does not meet the predetermined compliance threshold, that is, when it is lower than the predetermined compliance threshold, a compliance reminder instruction is issued. The compliance reminder instruction is a notice designed to remind users that they have not met the predetermined compliance requirements, and is usually sent to users via text messages, emails, application notifications, phone calls, etc.
[0076] Subsequently, compliance guidance and regulation are performed on the target user based on the compliance reminder instruction. Compliance guidance and regulation is an intelligent feedback mechanism designed to help users improve their compliance through reminders, guidance, and appropriate adjustments. Specifically, according to the compliance situation feedback by the user, targeted suggestions or guidance measures can be provided. For example, if the user fails to fast on time, it is recommended that the user arrange their diet time more reasonably; if the user does not prepare the necessary materials, the user will be reminded to prepare them as soon as possible.
[0077] Step S600: Monitor and obtain the dynamic inspection information of the target user for inspection based on the target inspection preparation plan, and synchronously display the dynamic inspection information.
[0078] In the embodiment of the present application, first, the dynamic inspection information of the target user for inspection based on the target inspection preparation plan is obtained through monitoring. Specifically, at the beginning of this process, the system will obtain in real time the inspection behaviors or preparation statuses of the target user according to the previously adjusted target inspection preparation plan. The target inspection preparation plan usually includes detailed steps, time arrangements, required items, and other preparation contents, and monitors the execution of each step by the user, such as whether the user arrives at the inspection location on time, whether the required items are prepared, whether the pre-inspection fasting requirements are complied with, etc. By connecting to inspection devices (such as scanners, inspection instruments, etc.) or mobile terminals (such as the user's smartphone or wearable device), the dynamic data of the user is obtained. These dynamic data may include real-time location, device usage, preparation status, etc., and the result is the dynamic inspection information, that is, the real-time data reflecting the user's current execution status.
[0079] Next, the dynamic inspection information is synchronously displayed. Specifically, the inspection preparation progress is updated in real time according to the obtained dynamic inspection information. For example, it shows whether the user has completed all the preparation steps, whether there are any delays or omissions, etc. These data are displayed to the user through a visual interface (such as a progress bar, notification reminder, etc.).
[0080] In the embodiment of the present application, in summary, the embodiment of the present application has at least the following technical effects:
[0081] This application obtains a target user list of the target user, where the target user list includes target inspection items and an initial inspection preparation plan; introduces a predetermined visualization strategy to perform visual processing and analysis on multi-source reservation information of the target inspection items to obtain a target dynamic visualization diagram; obtains a target reservation form of the target user, and combines the target dynamic visualization diagram to obtain target prompt information, where the target prompt information includes target prompt matters; obtains a prompt processing record of the target user for processing the target prompt matters, and analyzes the prompt processing record to obtain a target cooperation degree; adjusts the initial inspection preparation plan according to the target cooperation degree to obtain a target inspection preparation plan; monitors and obtains dynamic inspection information of the target user for inspection based on the target inspection preparation plan, and synchronously displays the dynamic inspection information. The present invention solves the technical problem in the prior art that there is a large amount of communication and inefficiency during the inspection reservation process. By obtaining the inspection form and reservation information of the target user, applying a predetermined visualization strategy to visually process the reservation data, generating a dynamic visualization diagram, and then obtaining target prompt information, combining the prompt processing record of the user, analyzing to obtain the target cooperation degree, and then adjusting the initial inspection preparation plan, by real-time monitoring the inspection preparation situation of the user and dynamically displaying the inspection progress, it ensures that the user completes the preparation as required, achieving the technical effect of intelligent management of reservation number taking.
[0082] Embodiment 2, based on the same inventive concept as the intelligent management method for radiology department reservation number taking in the foregoing embodiment, as Figure 2 shown, this application provides an intelligent management system for radiology department reservation number taking. The system in the embodiment of this application and the method embodiment are based on the same inventive concept. Among them, the system includes:
[0083] User single acquisition module 11, the user single acquisition module 11 is used to acquire the target user single of the target user, wherein the target user single includes a target inspection item and an initial inspection preparation plan; a visualization processing module 12, the visualization processing module 12 is used to introduce a predetermined visualization strategy to perform visualization processing and analysis on the multi-source appointment information of the target inspection item to obtain a target dynamic visualization diagram; a target prompt information acquisition module 13, the target prompt information acquisition module 13 is used to acquire the target appointment form of the target user, and combine the target dynamic visualization diagram to obtain target prompt information, wherein the target prompt information includes target prompt matters; an analysis module 14, the analysis module 14 is used to acquire the prompt processing record of the target user for processing the target prompt matters, and analyze the prompt processing record to obtain a target cooperation degree; an adjustment module 15, the adjustment module 15 is used to adjust the initial inspection preparation plan according to the target cooperation degree to obtain a target inspection preparation plan; a monitoring module 16, the monitoring module 16 is used to monitor and obtain the dynamic inspection information of the target user for inspection based on the target inspection preparation plan, and synchronously display the dynamic inspection information.
[0084] Further, the system is also used to implement the following functions:
[0085] Acquire the target screening settings of the target user; according to the predetermined visualization strategy, perform screening visualization processing on the multi-source appointment information with the target screening settings as a constraint to obtain the target dynamic visualization diagram.
[0086] Further, the system is also used to implement the following functions:
[0087] The target screening settings include the settings of the target user for predetermined appointment characteristics, wherein the predetermined appointment characteristics at least include an appointment period and an appointment doctor.
[0088] Further, the system is also used to implement the following functions:
[0089] Extract the target appointment doctor and the target appointment period in the target appointment form; combine the target dynamic visualization diagram to obtain the appointment information of the target appointment doctor during the target appointment period, and obtain the target number of waiting patients; add the target number of waiting patients to the target prompt information.
[0090] Further, the system is also used to implement the following functions:
[0091] Traverse in the inspection item database to obtain the target prompt matters of the target inspection item; add the target prompt matters to the target prompt information.
[0092] Further, the system is also used to implement the following functions:
[0093] Acquire a first prompt item among the target prompt items; match a first processing record of the first prompt item in the prompt processing record, wherein the first processing record includes a first processing psychological state, a first processing physiological state and a first cooperation behavior; read a predetermined physiological feature, and perform feature extraction and weighting on the first processing physiological state based on the predetermined physiological feature to obtain a first physiological index; determine a first cooperation coefficient in combination with the first cooperation behavior, and weight the first psychological index and the first physiological index in the first processing psychological state with the first cooperation coefficient as a weight to obtain a first degree of cooperation; take the average of the first degrees of cooperation as the target degree of cooperation.
[0094] Furthermore, the system is also used to implement the following functions:
[0095] Obtain the historical records of inspected items of the target user in a predetermined period, and extract the first historical record of the first inspection item in the historical records of inspected items; extract the first inspection process data in the first historical record, and call up a predetermined indicator to analyze the first inspection process data to obtain a first indicator parameter; extract the first inspection satisfaction level in the first historical record; perform weighted calculation on the normalized first indicator parameter and the first inspection satisfaction level to obtain a first historical inspection feedback coefficient; and adjust the target cooperation degree according to the first historical inspection feedback coefficient.
[0096] Furthermore, the system is also used to implement the following functions:
[0097] The predetermined indicators include inspection success rate, inspection time and inspection image quality.
[0098] Furthermore, the system is also used to implement the following functions:
[0099] Obtaining a predetermined cooperation threshold; determining whether the target cooperation degree meets the predetermined cooperation threshold; issuing a cooperation reminder instruction if the target cooperation degree does not meet the predetermined cooperation threshold; and guiding and regulating the cooperation of the target user based on the cooperation reminder instruction.
[0100] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0101] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.
[0102] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.
Claims
1. An intelligent management method for radiology appointment number collection, characterized in that: include: Acquire a target user list of a target user, wherein the target user list includes target inspection items and an initial inspection preparation plan; Introducing a predetermined visual strategy to perform visual processing and analysis on the multi-source reservation information of the target inspection item to obtain a target dynamic visual graph; Acquire the target appointment list of the target user, and obtain target prompt information in combination with the target dynamic visual map, wherein the target prompt information includes target prompt items; Acquire a prompt processing record of the target user processing the target prompt item, and analyze the prompt processing record to obtain a target cooperation degree; Adjusting the initial inspection preparation plan according to the target degree of fit to obtain a target inspection preparation plan; Dynamic inspection information of the target user's inspection based on the target inspection preparation plan is obtained through monitoring, and the dynamic inspection information is synchronously displayed.
2. According to claim 1, an intelligent management method for radiology appointment number collection is characterized in that: A predetermined visual strategy is introduced to perform visual processing and analysis on the multi-source reservation information of the target inspection item to obtain a target dynamic visual graph, including: Obtain target filtering settings of the target user; According to the predetermined visual strategy, the multi-source reservation information is screened and visually processed with the target screening setting as a constraint to obtain the target dynamic visual graph.
3. According to claim 2, an intelligent management method for radiology appointment number collection is characterized in that: The target screening settings include settings of the target user on predetermined appointment features, wherein the predetermined appointment features at least include an appointment time period and an appointment physician.
4. According to claim 1, an intelligent management method for radiology appointment number collection is characterized in that: Obtaining the target appointment list of the target user, and obtaining target prompt information in combination with the target dynamic visual map, including: Extracting the target appointment physician and target appointment time period in the target appointment list; Combined with the target dynamic visual graph, the appointment information of the target appointment physician in the target appointment time period is obtained, and the target number of waiting patients is obtained; The target number of waiting patients is added to the target prompt information.
5. According to claim 4, an intelligent management method for radiology appointment number collection is characterized in that: Obtaining the target appointment list of the target user, and obtaining target prompt information in combination with the target dynamic visual map, including: Traversing the inspection item database to obtain the target prompt items of the target inspection item; The target reminder item is added to the target reminder information.
6. The intelligent management method for radiology appointment number collection according to claim 1, characterized in that: Acquiring a prompt processing record of the target user processing the target prompt item, and analyzing the prompt processing record to obtain a target cooperation degree, including: Obtaining a first prompt item among the target prompt items; Matching a first processing record of the first prompt item in the prompt processing record, wherein the first processing record includes a first processing psychological state, a first processing physiological state, and a first cooperation behavior; Reading a predetermined physiological feature, and performing feature extraction weighting on the first processed physiological state based on the predetermined physiological feature to obtain a first physiological index; Determine a first cooperation coefficient in combination with the first cooperation behavior, and weight the first psychological index and the first physiological index in the first processing psychological state with the first cooperation coefficient as a weight to obtain a first cooperation degree; The mean of the first degrees of fit is taken as the target degree of fit.
7. The intelligent management method for radiology appointment number collection according to claim 6, characterized in that: After taking the mean of the first degrees of fit as the target degree of fit, the method further includes: Acquire the historical checked item records of the target user in a predetermined period, and extract a first historical record of a first checked item in the historical checked item records; Extracting first inspection process data from the first historical record, and retrieving a predetermined index to analyze the first inspection process data to obtain a first index parameter; extracting the first inspection satisfaction level in the first historical record; Performing weighted calculation on the normalized first indicator parameter and the first inspection satisfaction level to obtain a first historical inspection feedback coefficient; The target degree of cooperation is adjusted according to the first historical inspection feedback coefficient.
8. The intelligent management method for radiology appointment number collection according to claim 7, characterized in that: The predetermined indicators include inspection success rate, inspection time and inspection image quality.
9. The intelligent management method for radiology appointment number collection according to claim 1, characterized in that: Also includes: Obtaining a predetermined coordination threshold; Determining whether the target matching degree meets the predetermined matching threshold; If the target cooperation degree does not meet the predetermined cooperation threshold, issuing a cooperation reminder instruction; The target user is guided and regulated to cooperate based on the cooperation reminder instruction.
10. An intelligent management system for radiology appointment and number taking, characterized in that: The system comprises: A user list acquisition module, the user list acquisition module is used to acquire a target user list of a target user, wherein the target user list includes target inspection items and an initial inspection preparation plan; A visualization processing module, the visualization processing module is used to introduce a predetermined visualization strategy to perform visualization processing and analysis on the multi-source reservation information of the target inspection item to obtain a target dynamic visualization graph; A target prompt information acquisition module, the target prompt information acquisition module is used to acquire the target appointment list of the target user, and obtain target prompt information in combination with the target dynamic visual map, wherein the target prompt information includes target prompt items; An analysis module, the analysis module is used to obtain a prompt processing record of the target user processing the target prompt item, and analyze the prompt processing record to obtain a target cooperation degree; An adjustment module, the adjustment module is used to adjust the initial inspection preparation plan according to the target degree of fit to obtain a target inspection preparation plan; A monitoring module, the monitoring module is used to monitor and obtain dynamic inspection information of the target user based on the target inspection preparation plan, and synchronously display the dynamic inspection information.