Intelligent sorting engine system for multiple examination tasks in hospital treatment scene

Abstract

The invention discloses an intelligent sorting engine system for multiple examination tasks in a hospital treatment scene, which comprises a data acquisition module, an intelligent analysis module, a sorting module, a task pushing module, a feedback module, an emergency adjustment module and a module connected with a hospital reservation system, and efficient and reasonable checking task sorting and management are realized. Through a multi-source data fusion technology, data of each information system in a hospital can be integrated, and part of examination result data of other medical institutions can be obtained through a data interface with external medical equipment. Therefore, a doctor is ensured to have comprehensive and accurate patient information during diagnosis, repeated examination is avoided, and the utilization efficiency of medical resources is improved. A dynamic planning algorithm is adopted to quickly adjust the sorting of the examination tasks according to the real-time changing doctor seeing condition and resource condition, and a personalized examination task execution sequence is generated by considering factors such as the psychological state and the comfort level of a patient.

Description

Technical Field

[0001] This invention relates to the field of intelligent sorting engine systems, specifically to an intelligent sorting engine system for multiple examination tasks in a hospital visit scenario. Background Technology

[0002] Traditional methods for prioritizing examination tasks are relatively simple, often just following the routine procedures of the examination department or the inherent priority of the examination items. For example, routine blood tests are scheduled first, followed by imaging examinations. This prioritization method does not fully consider individual differences among patients, such as their physical condition and age.

[0003] The system also fails to consider the real-time availability of examination equipment and the current number of people in the queue. For example, patients may be directed to equipment that is under maintenance, or they may be made to wait in long lines for a particular examination, resulting in excessively long waiting times and impacting the efficiency and patient experience.

[0004] Currently, hospitals often fail to provide patients with detailed and personalized information about examinations. For certain special examinations, such as those requiring fasting or contrast imaging, patients are simply informed of basic requirements without detailed examination guidelines and precautions.

[0005] For fasting examinations, patients are not clearly informed of the specific time and start and end of fasting. For contrast examinations, the preparation steps and potential risks are not explained in detail. This may lead to insufficient preparation for patients, affecting the accuracy and smooth progress of the examination. Summary of the Invention

[0006] The purpose of this invention is to provide an intelligent sorting engine system for multiple examination tasks in a hospital setting, in order to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a multi-examination task intelligent sorting engine system for hospital visits, comprising: The data acquisition module is used to collect patients' medical information, including but not limited to basic patient information, existing diagnostic information, and information on examinations to be performed. This module adopts multi-source data fusion technology to accurately extract the required data from various information systems of the hospital and perform real-time updates and integration to ensure the comprehensiveness and accuracy of the data. It also includes a data interface with external medical devices, which can directly acquire and integrate some examination results data of patients in other medical institutions to avoid duplicate examinations. The intelligent analysis module, connected to the data acquisition module, can perform comprehensive analysis based on the collected medical information to determine the priority parameters of each examination task. The determination of the priority parameters takes into account factors such as the urgency of the examination, the time required for the examination, the location distribution of the examination departments, and the patient's physical condition. It also takes into account the availability of the examination equipment, the number of people currently in the queue, the urgency of the examination items, and the patient's physical condition. The sorting module, connected to the intelligent analysis module, intelligently sorts multiple examination tasks according to the priority parameters to generate the optimal execution order of the examination tasks. This module uses a dynamic programming algorithm to quickly adjust the sorting of examination tasks based on real-time changes in the patient's condition and resource status, and generates a personalized execution order of examination tasks by considering factors such as the patient's psychological state and comfort. The task push module is used to push the sorted examination tasks, along with detailed examination guidelines and precautions, to patients and relevant medical staff, so that patients can undergo examinations in the optimal order and medical staff can make reasonable arrangements and guidance accordingly. This module has a personalized push function, which can push tasks in various ways according to patients' preferences and special needs. The feedback module is used to collect feedback from patients and medical staff on the performance of examination tasks, and to adjust the order and execution of examination tasks based on the feedback. The system is also connected to the hospital's appointment system. After a patient completes the current examination, the system can automatically schedule subsequent treatments or follow-up examinations for the patient based on the examination results and the doctor's advice. It also includes an emergency adjustment module, which can respond quickly to emergencies such as equipment failure, temporary closure of departments, or sudden deterioration of patient conditions in the hospital, and readjust the priority and execution order of examination tasks according to the urgency of other available equipment and examination items.

[0008] Furthermore, the specific roles of the factors considered by the intelligent analysis module when determining the priority parameters of the inspection task are as follows: Check equipment availability: If a piece of equipment is under maintenance or unavailable, the system will automatically lower the priority of that inspection task and prioritize the use of other available equipment. Current queue length: When the queue length for a certain examination item is too long, the system will appropriately lower its priority and guide patients to undergo examinations with shorter queue lengths first. Urgency of examination items: For urgent examination items, such as examinations related to life-threatening conditions, the system will assign them higher priority; Patient's physical condition: The priority of examination tasks should be reasonably determined based on factors such as the patient's physical strength and whether they can withstand the pressure of certain examinations. For example, for patients who are physically weak, easier examination items should be arranged first.

[0009] Furthermore, the sorting module considers the patient's psychological state and comfort when generating the execution order of examination tasks as follows: Psychological state: If the patient has a fear of certain examinations, the system will schedule these examinations when the patient is in a better state, such as after the patient has had adequate rest and is relatively stable in mood; Comfort: The system adjusts the order of examination tasks according to the patient's age, physical condition and other factors to ensure the patient feels comfortable throughout the examination process. For elderly patients or patients who are physically weak, the system will prioritize easier examination items to avoid overexertion and arrange appropriate rest time between examinations.

[0010] Furthermore, the specific method by which the task push module pushes detailed inspection guidelines and precautions is as follows: For examinations that require fasting, the system will notify patients of the fasting time and precautions in advance through a set push method (such as SMS, hospital APP push, etc.). The fasting time notification will specify the exact duration and start and end times. For examinations requiring special preparation, such as contrast imaging, the system will provide detailed instructions on the preparation steps, including the necessary materials, procedures, and potential risks, such as the risk of allergic reactions and corresponding countermeasures.

[0011] Furthermore, the specific workflow of the feedback module is as follows: Feedback Collection: Collect feedback from patients and medical staff regarding the execution of examination tasks. Patient feedback includes issues such as excessively long waiting times and unfavorable examination environments; medical staff feedback includes issues such as equipment malfunctions and patient non-cooperation. Adjustments and optimizations: Based on feedback, the system promptly adjusts the sorting and execution methods of examination tasks; if patients report excessively long waiting times, the system analyzes the causes and may adjust the order of examination tasks or resource allocation; if medical staff report equipment malfunctions, the system reorders the affected examination tasks. Satisfaction evaluation: At the same time, patient satisfaction evaluations of the entire medical process are collected, and the evaluation results are statistically analyzed to provide a reference for the hospital to improve service quality.

[0012] Furthermore, the specific process of the learning and adaptive functions of the intelligent analysis module is as follows: Data collection: Continuously accumulate patient medical data and examination results; Analysis and optimization: By analyzing this data through machine learning algorithms, the model for determining the priority parameters of inspection tasks is further optimized; as data accumulates, the system can more accurately predict the required time and urgency of different inspection items, as well as other factors that affect priority, thereby improving the accuracy and rationality of the sorting. Adaptive adjustment: The algorithm parameters are automatically adjusted according to the actual situation of the hospital and changes in patients' needs to adapt to different medical scenarios. For example, the priority determination rules are changed accordingly based on the addition of new examination equipment or adjustment of examination departments in the hospital.

[0013] Furthermore, the automatic appointment function of the system after being connected to the hospital appointment system operates as follows: Examination result interpretation: After the patient completes the current examination task, the system first determines whether further treatment or follow-up examination is needed based on the examination results; Appointment Decision: If follow-up treatment or examination is required, the system will determine the specific treatment or examination items based on the doctor's advice and automatically schedule the relevant items for the patient. For example, if the patient's test results require further expert consultation, the system will automatically schedule an appointment with the relevant expert for the patient. If the patient needs regular check-ups, the system will arrange a check-up appointment for the patient at an appropriate time. The appointment time will be determined based on factors such as the test results and the patient's physical condition.

[0014] Furthermore, the specific operation of the emergency adjustment module under different emergency situations is as follows: Equipment failure: When equipment failure occurs in the hospital, the emergency adjustment module will immediately assess the affected examination tasks and readjust the priority and execution order of the examination tasks according to the availability of other examination equipment and the urgency of the examination items. For example, if the ultrasound examination equipment fails, it will assess which patients were originally scheduled for ultrasound examinations, and then, based on the availability of other examination equipment and the urgency of the patients' conditions, reschedule these patients to other suitable examination items and adjust the examination order. Temporary Department Closure: If a department is temporarily closed, the emergency adjustment module will analyze the examination tasks involved in that department and readjust the priority and execution order of the examination tasks based on the resource availability of other departments and the urgency of the examination tasks to ensure that patients can complete the relevant examinations within a reasonable time. When a patient's condition suddenly deteriorates, the emergency adjustment module will prioritize their examination tasks to the highest level to ensure that the patient can receive critical examinations and diagnoses as soon as possible. At the same time, it will rationally arrange the order of examinations based on the hospital's resources, prioritizing urgent and critical examination items.

[0015] Compared with the prior art, the beneficial effects of the present invention are: Multi-source data fusion technology can integrate data from various information systems within a hospital and obtain partial examination results from other medical institutions through data interfaces with external medical equipment. This ensures that doctors have comprehensive and accurate patient information during diagnosis, avoids duplicate examinations, and improves the efficiency of medical resource utilization.

[0016] The priority parameters for examination tasks are determined by comprehensively considering multiple factors, including the availability of examination equipment, the number of people currently in the queue, the urgency of the examination items, and the patient's physical condition. A dynamic programming algorithm is used to quickly adjust the order of examination tasks based on real-time changes in patient flow and resource availability, and to generate a personalized execution order considering factors such as the patient's psychological state and comfort. This prioritization method improves efficiency, reduces patient waiting time, and better meets the actual needs of patients.

[0017] The task push module provides detailed examination guidelines and precautions, offering personalized recommendations for different types of examinations. For example, it clearly informs patients of the fasting time and start and end times for fasting examinations, and details the preparation steps and potential risks for contrast-enhanced examinations. This helps patients better prepare for the examinations, improving accuracy and success rates.

[0018] The feedback module collects feedback from patients and medical staff, and adjusts the sequencing and execution of examination tasks based on this feedback. This feedback and optimization mechanism enables the system to continuously adapt to actual conditions, improve performance, and enhance the quality of medical services and patient satisfaction.

[0019] The emergency response module can respond quickly to emergencies in the hospital, such as equipment failure, temporary closure of departments, or sudden deterioration of a patient's condition. It readjusts the priority and execution order of examination tasks based on the urgency of other available equipment and tests. This ensures that patients receive timely diagnosis and treatment in emergencies, safeguarding their lives and health. Attached Figure Description

[0020] Figure 1 This is a flowchart of the intelligent sorting engine system of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please see Figure 1This invention provides a technical solution: an intelligent sorting engine system for multiple examination tasks in a hospital visit scenario. The system mainly includes a data acquisition module, an intelligent analysis module, a sorting module, a task push module, a feedback module, an emergency adjustment module, and a connection module with the hospital's appointment system. These modules work together to achieve efficient and reasonable sorting and management of examination tasks.

[0023] Data acquisition module 1. Internal system data acquisition The system connects with the hospital's HIS (Hospital Information System), LIS (Laboratory Information System), and PACS (Picture Archiving and Communication System). Through pre-defined data interfaces and extraction rules, it obtains basic patient information such as name, age, gender, and contact information; existing diagnostic information, including disease name, diagnosis time, and diagnosing physician; and information on pending examinations, such as examination name, department, and appointment time.

[0024] For example, when connecting to the HIS system, relevant basic and diagnostic information can be extracted by querying the patient's medical record database. For the LIS system, various patient test reports, such as blood and urine test results, can be obtained. Patient imaging data, such as X-rays, CT scans, and MRI images, can be retrieved from the PACS system.

[0025] 2. External data interface integration The data acquisition module also includes a data interface with external medical devices. When a patient provides partial examination results from other medical institutions, the system acquires and integrates this data through this interface. For example, if a patient brings an ultrasound examination report from another hospital when transferred, the system can identify and parse key information in the report, such as the examination date, description of the examination results, and the examiner's signature, and integrate it into the patient's overall medical information.

[0026] To achieve accurate integration of external data, the system employs standardized data formats and recognition algorithms. For different types of examination reports, the system predefines corresponding templates and data parsing rules. For example, for imaging examination reports, the system identifies key elements such as the image number, examination site, and diagnostic conclusion; for laboratory test reports, it focuses on information such as the test item name, test result value, and reference range.

[0027] Intelligent Analysis Module 1. Comprehensive consideration of factors The intelligent analysis module receives patient visit information from the data acquisition module. Multiple factors are considered when determining the priority parameters for examination tasks.

[0028] The availability of examination equipment is a crucial factor. The system monitors the operational status of various examination devices within the hospital in real time, obtaining information such as whether the equipment is under maintenance or available through its connection with the equipment management system. For example, if a CT scanner is undergoing maintenance, the system will lower the priority of tasks involving CT examinations unless the examination is essential for the diagnosis of the patient's condition and there are no other alternative examination methods.

[0029] The current queue length is also a factor. The system tracks the current queue length for each examination item and appropriately lowers the priority of items with excessive queue lengths. For example, if the queue length for an ultrasound examination exceeds a set threshold (e.g., 10 people), the system will prompt some patients to be redirected to other examination items (if suitable alternatives are available and diagnostic accuracy is not affected).

[0030] The urgency of each examination is determined based on the patient's condition. Life-threatening examinations, such as electrocardiograms and cardiac marker tests for patients with acute myocardial infarction, are given higher priority. Routine examinations for some chronic diseases have a relatively lower priority, but will still be arranged reasonably based on the patient's overall condition.

[0031] The patient's physical condition is equally important. The system prioritizes examination tasks based on factors such as the patient's age, physical strength, and whether they have underlying medical conditions. For example, for elderly or frail patients, easier examinations, such as routine blood tests and electrocardiograms, are scheduled first, avoiding complex and strenuous examinations, such as gastroscopy and colonoscopy, from the outset.

[0032] 2. Algorithm Model Optimization The intelligent analysis module uses artificial intelligence algorithms to continuously optimize the model for determining priority parameters by learning and analyzing a large amount of historical medical data.

[0033] For example, the system collects medical information from different patients over the past year, including basic patient information, examination schedules, and final diagnoses. Machine learning algorithms, such as decision tree algorithms and neural network algorithms, are used to analyze the relationships between this data. If it is found that a patient with a certain disease experiences a more accurate and rapid diagnosis after undergoing a particular examination, the system will accordingly increase the priority of that examination for patients with such diseases.

[0034] As new patient data accumulates, the system periodically retrains its algorithm model to adapt to changes in the hospital's actual situation and the development of medical technology. For example, if a hospital adds an advanced diagnostic device, the system will adjust the priority of related diagnostic tasks after learning the new data, making more rational use of the new device's resources.

[0035] Sorting module 1. Dynamic Programming Sorting The sorting module intelligently sorts multiple examination tasks based on priority parameters determined by the intelligent analysis module. It employs a dynamic programming algorithm to quickly adjust the sorting of examination tasks according to real-time changes in patient flow and resource availability.

[0036] For example, if a doctor in a certain department takes temporary leave during a certain period, causing a decrease in the department's testing capacity, the system will reassess the priorities based on the affected testing tasks and reassign some patients to other departments or testing items. If a patient experiences discomfort while waiting for a certain testing item, the system will also readjust the testing order based on the patient's current condition and remaining testing tasks, prioritizing testing items that are less physically demanding for the patient.

[0037] 2. Personalized sorting considerations The sorting module also considers factors such as the patient's psychological state and comfort level to generate a personalized order of examination tasks.

[0038] If a patient has a fear of a particular examination, such as a fear of gastroscopy or colonoscopy, the system will schedule the examination when the patient is in a better mental state. For example, it can be scheduled after the patient has had adequate rest and is in a relatively stable emotional state, or after the patient has completed some relatively easy examinations.

[0039] For elderly or frail patients, the system will schedule appropriate rest periods between examinations to prevent overexertion. For example, after blood tests and electrocardiograms, if there are more complex examinations to be performed, such as a CT scan, the system will schedule a 30-minute rest period between the two to allow the patient to recover their strength.

[0040] Task push module 1. Task push method The task push module pushes the sorted examination tasks, along with detailed examination guidelines and precautions, to patients and relevant medical staff.

[0041] For patients, the system uses multiple communication channels for push notifications. Firstly, SMS is a commonly used and convenient method. The system will send a text message to the patient according to a predefined format, containing key information about the examination, such as the examination name, appointment time, location of the examination department, and brief instructions. For example, the text message might read: "Dear patient, your scheduled echocardiogram will be performed tomorrow morning at 9:00 AM in the ultrasound department on the second floor. Please arrive 15 minutes early and avoid strenuous exercise before the examination." If a patient downloads and registers the hospital's app, the system will provide more detailed and personalized notifications within the app. In the app's message center, patients will receive detailed notifications about their examinations, including a detailed description of the examination, communication records with the doctor (if any), and relevant examination guidelines and precautions. For complex examinations, such as contrast-enhanced imaging or endoscopy, the system will also provide relevant illustrated or video tutorials to help patients better understand the procedure. For example, for contrast-enhanced imaging, the system might provide a video tutorial on the contrast agent injection process, along with textual explanations detailing the type of contrast agent, injection site, precautions during injection, and potential adverse reactions and coping strategies.

[0042] For medical staff, the system will push notifications to the hospital's internal information system terminals. After logging into their work accounts, medical staff will see patient examination task information for the day displayed in a specific area of ​​their work interface. This information includes basic patient information (such as name, age, gender, and a brief description of the patient's condition), the order of examination tasks, and any special requirements (such as some patients requiring special examination positions or auxiliary equipment). Medical staff can use this information to prepare in advance, such as preparing the necessary examination equipment and adjusting the environmental parameters of the examination room.

[0043] 2. Inspection Guidelines and Precautions For examinations requiring fasting, the system will provide precise recommendations based on the examination time and fasting requirements. For example, if an abdominal ultrasound is scheduled for 8:00 AM, the system will notify the patient via SMS around 8:00 PM the previous evening to fast for 8-12 hours, informing them that they can drink small amounts of water during the fasting period but cannot eat any food. Simultaneously, the hospital's app will provide more detailed instructions, such as explaining the reason for fasting (to avoid food residue affecting the clarity of ultrasound images) and what to do if the patient accidentally eats (e.g., postpone the examination time or reschedule the fasting time).

[0044] For examinations requiring special preparation, such as contrast-enhanced procedures, the system provides comprehensive preparation information. First, it clearly informs the patient of the type and dosage of the required contrast agent, for example, "Your contrast-enhanced procedure requires iohexol contrast agent, with a dosage of 10 ml." Then, it details the procedure, including the injection site and method. Simultaneously, it details potential risks, such as the risk of allergic reactions and corresponding countermeasures. The system informs the patient of possible symptoms of an allergic reaction, such as itchy skin, rash, and difficulty breathing, and emphasizes that if these symptoms occur, the patient should immediately inform medical staff. Furthermore, it informs the patient of the hospital's measures for allergic reactions, such as available emergency medications and equipment, and the emergency response procedures for medical staff.

[0045] For certain specialized examinations, such as endoscopy, the system will provide detailed bowel preparation guidelines, especially for gastroscopy and colonoscopy. These guidelines include dietary adjustments starting several days in advance, such as consuming low-residue foods 2-3 days before the procedure and liquid foods the day before. The system also explains how to take bowel cleansing agents, detailing the medication name, timing, method of administration, and precautions. Additionally, patients will be informed of precautions during the endoscopy procedure, such as maintaining a relaxed state of mind and cooperating with the medical staff's instructions.

[0046] Feedback module 1. Feedback Collection The feedback module collects feedback from patients and medical staff on the performance of examination tasks through various channels.

[0047] Patient feedback channels are diverse and plentiful. In addition to feedback through the mobile app and suggestion boxes set up in the hospital, patients can also provide feedback during the on-site evaluation session after the examination. For example, after a patient completes an examination, the staff in the examination room can provide a short questionnaire allowing the patient to evaluate aspects such as waiting time, comfort of the examination environment, and attitude of medical staff, and to offer opinions and suggestions.

[0048] Feedback from medical staff is primarily provided through the hospital's internal information system terminals. When medical staff encounter problems during examinations, such as equipment malfunctions, patient non-cooperation, or inefficient procedures, they can promptly input relevant feedback information on the terminal. This information is automatically recorded and categorized by the system for subsequent processing.

[0049] 2. Adjustments and optimizations Based on the feedback, the system adopts various strategies to adjust the sorting and execution of inspection tasks in a timely manner.

[0050] If a patient reports excessively long waiting times, the system first analyzes the reasons for the long wait. If it's due to excessive queues for a particular examination, the system will reassess the priority of that examination and consider redirecting some patients to alternative examinations (if suitable alternatives exist and do not affect diagnostic accuracy). Simultaneously, the system monitors the queuing status of each examination in real time and dynamically adjusts priorities to balance the workload across all examinations.

[0051] If a long wait time is caused by equipment malfunction, the system will immediately stop scheduling patients for examinations on the faulty equipment and reorder the examinations based on the affected schedule. The system will search for other available equipment or alternative examinations and reassign patients according to the urgency of their condition and equipment availability. Simultaneously, the system will promptly notify equipment maintenance personnel to repair the faulty equipment and track the repair progress in real time so that examination schedules can be adjusted promptly after the equipment is repaired.

[0052] If medical staff report that a patient is uncooperative during an examination, the system will analyze the reasons for this. If it's due to the patient's fear of the procedure, the system will adjust the order of examination tasks, scheduling the relevant examinations for a more suitable time, such as when the patient has received psychological counseling or is accompanied by family members. Simultaneously, the system will add reassuring content to the examination guidelines and precautions sent to the system to help the patient overcome their fear.

[0053] If medical staff report inefficiencies in the examination process, such as overly cumbersome or time-consuming preparation for a particular test, the system will reassess the process for that test, simplifying unnecessary steps and improving efficiency. Simultaneously, the system will adjust the order of examination tasks to prevent too many patients from waiting for that test simultaneously, thus reducing overall waiting time.

[0054] 3. Satisfaction Evaluation The feedback module collects patient satisfaction ratings throughout the entire medical process, which are crucial for hospitals to improve service quality.

[0055] After completing all examinations, patients can rate their satisfaction with the entire treatment process through a dedicated evaluation module on a mobile app or a comprehensive evaluation terminal set up within the hospital. Evaluation indicators cover multiple aspects, including the treatment environment, the service attitude of medical staff, the rationality of the examination schedule, and the reasonableness of medical expenses.

[0056] Emergency Adjustment Module 1. Emergency handling of equipment failure When equipment malfunctions in the hospital, the emergency response module is activated quickly. First, the system immediately obtains detailed information about the equipment malfunction, including the name, location, and type of malfunction of the faulty equipment.

[0057] The system then assesses the affected examinations to determine which patients were originally scheduled for examinations on the faulty equipment. For these patients, the system prioritizes and reorders the examinations based on available equipment and the urgency of the tests.

[0058] For example, if an ultrasound machine malfunctions, the system will check the availability and queue status of other ultrasound machines. If other ultrasound machines are available and the queue length is within an acceptable range, the system will reassign patients originally scheduled for the malfunctioning machine to other ultrasound machines in order of urgency of their condition. If no other ultrasound machines are available, the system will consider replacing the patient's ultrasound examination with other relevant examinations and rearrange the examination order according to the urgency of their condition.

[0059] Simultaneously, the system will promptly notify equipment maintenance personnel to repair the faulty equipment and track the repair progress in real time. During the repair process, the system will continue to adjust the examination schedules for affected patients based on the repair progress and the condition of other equipment, ensuring that patients can complete their examinations as quickly as possible.

[0060] 2. Emergency Response to Temporary Closure of Department If a department is temporarily closed, the emergency adjustment module will react quickly. The system will first identify the examination tasks involved in the closed department, including the names of the examination items and the patient list.

[0061] The system then analyzes the resources of other departments, including equipment availability and staffing. Based on this information, the system reassigns affected examinations to other departments according to the urgency of the examinations and the patient's condition, and determines a new examination sequence.

[0062] For example, if an internal medicine department is temporarily closed, some blood tests and electrocardiograms originally performed by that department need to be rescheduled. The system will search for equipment and staff in other departments, such as the emergency department or other related internal medicine departments, and reassign these tests to appropriate departments. The system will also reorder the tests based on the urgency of the patient's condition and the workload of each department to ensure that the patient can complete the tests within a reasonable time.

[0063] 3. Emergency treatment for sudden deterioration of the patient's condition When a patient's condition suddenly deteriorates, the emergency adjustment module will prioritize the patient's examination tasks to the highest level.

[0064] The system will first identify the most critical examinations for diagnosing the patient's condition. For example, for a patient with a sudden deterioration in cardiovascular disease, key examinations might include echocardiography, electrocardiogram (ECG), and cardiac enzyme levels. Then, the system will prioritize these key examinations based on the hospital's resources, ensuring the patient receives the necessary tests as quickly as possible.

[0065] Meanwhile, the system monitors the patient's condition in real time and adjusts the examination schedule accordingly. For example, if the patient's condition worsens during the examination, the system will consider adding other relevant examinations or adjusting the order of examinations to ensure that the patient receives the most timely and effective diagnosis and treatment.

[0066] Connection module with hospital appointment system 1. Judgment of inspection results Once the patient completes their current examination, the module connecting the system to the hospital's appointment system will first retrieve the examination results. These results can be obtained through the hospital's internal information system or manually entered by the doctor.

[0067] The system will determine whether further treatment or follow-up examinations are needed based on the test results. For patients with a clear diagnosis who do not require further treatment or follow-up examinations, the system will not schedule appointments. For example, if a patient's blood test results are normal and the doctor diagnoses them as having no disease, the system will not schedule follow-up procedures for that patient.

[0068] 2. Appointment Decision If further treatment or follow-up examinations are needed, the system will determine the specific treatment or follow-up examination items based on the doctor's advice.

[0069] For example, if a patient's test results indicate that they have a certain disease and require specialist consultation, the system will automatically search for specialist appointment slots in the hospital's appointment system and book a suitable appointment based on the specialist's availability and the urgency of the patient's condition. If the patient needs regular follow-up examinations, the system will determine the interval between these examinations based on the test results and the patient's physical condition, and then book the appropriate follow-up time and examinations for the patient in the hospital's appointment system.

[0070] The system will promptly provide appointment information to patients and medical staff. Patients can obtain appointment information via mobile app or SMS, while medical staff can view appointment information on the hospital's internal information system terminals to prepare for subsequent treatment or follow-up examinations.

Claims

1. A multi-examination task intelligent sorting engine system for hospital visits, characterized in that, include: The data acquisition module is used to collect patients' medical information, including but not limited to basic patient information, existing diagnostic information, and information on examinations to be performed. This module employs multi-source data fusion technology to accurately extract the required data from various information systems within the hospital, and performs real-time updates and integration to ensure the comprehensiveness and accuracy of the data. It also includes a data interface with external medical equipment, enabling direct acquisition and integration of partial examination results data from other medical institutions to avoid duplicate examinations. The intelligent analysis module, connected to the data acquisition module, can perform comprehensive analysis based on the collected medical information to determine the priority parameters of each examination task. The determination of the priority parameters takes into account the urgency of the examination, the time required for the examination, the location distribution of the examination departments, and the patient's physical condition. It also takes into account the availability of the examination equipment, the number of people currently in the queue, the urgency of the examination items, and the patient's physical condition. The sorting module, connected to the intelligent analysis module, intelligently sorts multiple examination tasks according to the priority parameters to generate the optimal execution order of the examination tasks. This module uses a dynamic programming algorithm to quickly adjust the sorting of examination tasks based on real-time changes in the patient's condition and resource status, and generates a personalized execution order of examination tasks by taking into account the patient's psychological state and comfort factors. The task push module is used to push the sorted examination tasks, along with detailed examination guidelines and precautions, to patients and relevant medical staff, so that patients can undergo examinations in the optimal order and medical staff can make reasonable arrangements and guidance accordingly. This module has a personalized push function, which can push tasks in various ways according to patients' preferences and special needs. The feedback module is used to collect feedback from patients and medical staff on the performance of examination tasks, and to adjust the order and execution of examination tasks based on the feedback. The system is also connected to the hospital's appointment system. After a patient completes the current examination, the system can automatically schedule subsequent treatments or follow-up examinations for the patient based on the examination results and the doctor's advice. It also includes an emergency adjustment module, which can respond quickly to emergencies such as equipment failure, temporary closure of departments, or sudden deterioration of patient conditions in the hospital, and readjust the priority and execution order of examination tasks based on the urgency of other available equipment and examination items.

2. The intelligent sorting engine system for multiple examination tasks in a hospital visit scenario according to claim 1, characterized in that, The specific roles of the factors considered by the intelligent analysis module when determining the priority parameters of inspection tasks are as follows: Check equipment availability: If a piece of equipment is under maintenance or unavailable, the system will automatically lower the priority of that inspection task and prioritize the use of other available equipment. Current queue length: When the queue length for a certain examination item is too long, the system will appropriately lower its priority and guide patients to undergo examinations with shorter queue lengths first. Urgency of examination items: For urgent examination items, such as examinations related to life-threatening conditions, the system will assign them higher priority; Patient's physical condition: The priority of examination tasks should be reasonably determined based on the patient's physical strength and whether they can withstand the stress of certain examinations. For example, for patients who are physically weak, easier examination items should be arranged first.

3. The intelligent sorting engine system for multiple examination tasks in a hospital visit scenario according to claim 1, characterized in that, When generating the execution order of examination tasks, the sorting module considers the patient's psychological state and comfort in the following ways: Psychological state: If the patient has a fear of certain examinations, the system will schedule these examinations when the patient is in a better state, such as after the patient has had adequate rest and is relatively stable in mood; Comfort: The system adjusts the order of examination tasks according to the patient's age and physical condition to ensure the patient feels comfortable throughout the examination process. For elderly or frail patients, the system will prioritize easier examination items to avoid overexertion and arrange appropriate rest time between examinations.

4. The intelligent sorting engine system for multiple examination tasks in a hospital visit scenario according to claim 1, characterized in that, The specific method by which the task push module pushes detailed inspection guidelines and precautions is as follows: For examinations that require fasting, the system will notify patients of the fasting time and precautions in advance via a set push notification method. The notification of the fasting time will specify the exact duration and start and end times. For examinations requiring special preparation, such as contrast imaging, the system will provide detailed instructions on the preparation steps, including the necessary materials, procedures, and potential risks, such as the risk of allergic reactions and corresponding countermeasures.

5. The intelligent sorting engine system for multiple examination tasks in a hospital visit scenario according to claim 1, characterized in that, The specific workflow of the feedback module is as follows: Feedback Collection: Collect feedback from patients and medical staff regarding the execution of examination tasks. Patient feedback includes issues such as excessively long waiting times and unfavorable examination environments; medical staff feedback includes issues such as equipment malfunctions and patient non-cooperation. Adjustments and optimizations: Based on feedback, the system promptly adjusts the sorting and execution methods of examination tasks; if patients report excessively long waiting times, the system analyzes the causes and may adjust the order of examination tasks or resource allocation; if medical staff report equipment malfunctions, the system reorders the affected examination tasks. Satisfaction evaluation: At the same time, patient satisfaction evaluations of the entire medical process are collected, and the evaluation results are statistically analyzed to provide a reference for the hospital to improve service quality.

6. The intelligent sorting engine system for multiple examination tasks in a hospital visit scenario according to claim 1, characterized in that, The specific process of the learning and adaptive functions of the intelligent analysis module is as follows: Data collection: Continuously accumulate patient medical data and examination results; Analysis and optimization: By analyzing this data through machine learning algorithms, the model for determining the priority parameters of inspection tasks is further optimized; as data accumulates, the system can more accurately predict the required time and urgency of different inspection items, as well as other factors that affect priority, thereby improving the accuracy and rationality of the sorting. Adaptive adjustment: The algorithm parameters are automatically adjusted according to the actual situation of the hospital and changes in patients' needs to adapt to different medical scenarios. For example, the priority determination rules are changed accordingly based on the addition of new examination equipment or adjustment of examination departments in the hospital.

7. The intelligent sorting engine system for multiple examination tasks in a hospital visit scenario according to claim 1, characterized in that, The automatic appointment function of the system after it is connected to the hospital appointment system operates as follows: Examination result interpretation: After the patient completes the current examination task, the system first determines whether further treatment or follow-up examination is needed based on the examination results; Appointment Decision: If follow-up treatment or examination is required, the system will determine the specific treatment or examination items based on the doctor's advice and automatically schedule the relevant items for the patient. For example, if the patient's test results require further expert consultation, the system will automatically schedule an appointment with the relevant expert for the patient. If the patient needs regular check-ups, the system will arrange a check-up appointment for the patient at an appropriate time, and the appointment time will be determined based on a combination of factors including the test results and the patient's physical condition.

8. The intelligent sorting engine system for multiple examination tasks in a hospital visit scenario according to claim 1, characterized in that, The specific operation of the emergency adjustment module under different emergency situations is as follows: Equipment failure: When equipment failure occurs in the hospital, the emergency adjustment module will immediately assess the affected examination tasks and readjust the priority and execution order of the examination tasks according to the availability of other examination equipment and the urgency of the examination items. For example, if the ultrasound examination equipment fails, it will assess which patients were originally scheduled for ultrasound examinations, and then, based on the availability of other examination equipment and the urgency of the patients' conditions, reschedule these patients to other suitable examination items and adjust the examination order. Temporary Department Closure: If a department is temporarily closed, the emergency adjustment module will analyze the examination tasks involved in that department and readjust the priority and execution order of the examination tasks based on the resource availability of other departments and the urgency of the examination tasks to ensure that patients can complete the relevant examinations within a reasonable time. When a patient's condition suddenly deteriorates, the emergency adjustment module will prioritize their examination tasks to the highest level to ensure that the patient can receive critical examinations and diagnoses as soon as possible. At the same time, it will rationally arrange the order of examinations based on the hospital's resources, prioritizing urgent and critical examination items.

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