Medical examination sheet full-process monitoring management system

Abstract

The invention discloses a full-process monitoring management system for a medical examination sheet, relates to the technical field of intelligent medical services, and solves the problems that individual differences and actual demands of patients cannot be fully considered, the examination sequence is difficult to effectively optimize and the medical experience of the patients is difficult to improve in the prior art. According to the system, examination items and key information of a patient are recorded in detail through the input unit, and a solid data basis is provided for subsequent strategy generation and monitoring. The optimal strategy generation unit rapidly formulates the optimal examination sequence and time which meet the time constraint condition and can reduce the total examination time of the patient to the greatest extent according to the number of examination items and specific conditions of the patient, the problems of flow disorder and time waste caused by multiple examinations of the patient are fundamentally solved, and the examination efficiency is improved. The examination efficiency is greatly improved, and the doctor-seeing burden of the patient is relieved. In addition, due to introduction of the monitoring and reminding unit, time management and progress control of the patient in the examination process become more accurate and efficient.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent medical service, and particularly relates to a medical examination order whole-process monitoring and management system. BACKGROUND

[0002] In the modern medical system, when a patient goes to a hospital for examination, he often needs to go through a series of complex processes. First, the patient needs to register at the outpatient department, and the doctor will prescribe various examination items according to the patient's condition, such as blood tests, imaging examinations (X-rays, CT, MRI, etc.), electrocardiograms, etc. Sometimes the patient needs to undergo multiple examinations. Then, the patient needs to go to different departments or examination rooms to complete the examination, which may involve moving across floors and buildings, and queuing at each examination point. Although these examination items can provide comprehensive information for diagnosis, the process is complex and time-consuming.

[0003] When a patient has multiple examinations, the whole process becomes particularly cumbersome. On the one hand, the examination time is difficult to monitor, and the patient cannot accurately estimate the waiting time, which can easily waste a lot of time at each examination point, resulting in a long and inefficient examination process. On the other hand, it is usually difficult for hospitals to reasonably arrange the examination order based on the actual situation of the patient, such as physical condition, urgency of examination items, etc. Currently, hospitals mainly rely on patients to make appointments online or on-site, and then wait in line at the examination site. Then, the system monitors the queuing time and reminds the patient of the examination time. However, this mode lacks flexibility and individualization, and cannot fully consider the individual differences and actual needs of patients, making it difficult to effectively optimize the examination order and improve the patient's medical experience.

[0004] Therefore, there is a need for a medical examination order whole-process monitoring and management system. SUMMARY

[0005] In view of the problem in the prior art that the individual differences and actual needs of patients cannot be fully considered, the examination order cannot be effectively optimized, and the patient's medical experience cannot be improved, the present application provides a medical examination order whole-process monitoring and management system, which can output an optimal strategy when the user's examination items are two or more. The output mode of the optimal strategy is: taking minimizing the total examination time as the target, taking the time conflict between each examination item and the time reservation from one examination point to the next examination point as the constraint condition, and deriving the optimal patient examination time and order strategy. And record the patient's stay time at each examination point, then compare the actual time with the expected time, judge whether there is a delay, when the actual time exceeds the set proportion of the expected time, trigger an early warning. The specific technical scheme is as follows: A medical examination order whole-process monitoring and management system, comprising: Input unit: Used to input and store the user's examination items and patient information. The patient information includes at least gender, age, and disease information, which includes the type and severity of the disease. Optimal strategy generation unit: connected to the input unit, used to obtain the user's list of examination items, and output the optimal strategy when the user has more than two examination items. The optimal strategy is output in the following way: with the goal of minimizing the total examination time, and with the constraints that the time between each examination item cannot conflict and that the time reserve from one examination point to the next examination point is sufficient, the optimal patient examination time and sequence strategy is obtained. Monitoring and alert unit: Records the patient's stay time at each examination point, then compares the actual time with the estimated time to determine if there is a delay, and finally triggers an alert when the actual time exceeds the set proportion of the estimated time.

[0006] The preferred, optimal strategy generation process is as follows: S1: Get the current user's list of inspection items ,in, It is the first i One inspection item, n To check the total number of items; S2: Based on the list of inspection items, obtain the inspection time and the current number of people in the queue for each item, and obtain the list of inspection item times. And the list of people in the queue for the inspection project. ,in, It is the first i The inspection time for each inspection item It is the first i The number of people queuing for each inspection item; S3: Calculate the estimated queuing time and travel time, as follows: ; ; in, This indicates the estimated queuing time for project i. This represents the distance and time taken from point i to point j. This indicates the patient's actual walking speed; S4: With the goal of minimizing the total examination time, and with the constraints that the time between each examination item cannot conflict and that sufficient time is reserved from one examination point to the next, the optimal patient examination time and sequence strategy is derived.

[0007] Preferred total inspection time ,in, This refers to the time when the last inspection item ends.

[0008] Preferably, the patient's actual walking speed is obtained through the following methods: The travel impact coefficient of each patient is obtained by using a pre-set disease impact reference table, which pre-sets and stores the disease impact coefficients corresponding to each disease. Based on the severity of the patient's illness and the illness impact reference table, the patient's progression impact factor was calculated as follows: Where n is the total number of diseases suffered by the patient. It is the weight of the i-th disease. It is the disease impact coefficient of the i-th disease. This is the numerical value corresponding to the severity of the i-th disease; The patient's adjusted walking speed is expressed as follows: in, This indicates the patient's actual walking speed. The average walking speed of a normal person at the patient's current age, corresponding height, and gender.

[0009] Preferably, the travel time from point i to point j can also be obtained in the following ways: in, The time spent getting lost is a factor that represents the time a patient may spend getting lost while walking in the hospital.

[0010] Preferably, the calculation of the maze time influence factor is as follows: in, Indicates the factor affecting the time spent lost. Indicates the complexity of the floor plan. The number indicates the complexity of the building, and A represents the patient's age.

[0011] Preferably, a genetic algorithm is used to generate the optimal checking strategy. The specific steps are as follows: S401: Randomly generate multiple examination sequences, and calculate the total examination time for each chromosome; S402: Define the adaptive function f Specifically: Where S is an inspection order, and a higher fitness indicates a shorter total inspection time; S403: Propagate the chromosomes according to the fitness, then select two parent chromosomes, generate a new child chromosome by exchanging part of the genes, and finally randomly change some genes in the chromosome to introduce a new inspection order; S404: Calculate the inspection time, for each inspection order , we have: the start time of the first inspection item , where is the queuing time of the first item; the end time of the first inspection item , where is the inspection time of the first item; the start time of the subsequent i-th inspection item: , where is the end time of the k-1th item, is the time spent from the i-1th item (starting point) to the i-th item (destination), is the queuing time of the i-th item, and the maximum of the two is taken as the start time of the i-th inspection item; the end time of the subsequent i-th inspection item: , where is the inspection time of the i-th item; S405: Repeat the selection, crossover and mutation operations until the preset number of iterations or the fitness is no longer significantly improved.

[0012] Preferably, the monitoring and reminding unit further comprises a state tracking module, a visualization module and a reminding module, wherein: The state tracking module tracks the patient's location in the hospital in real time and records the patient's current state, including queuing, inspection, going to the next checkpoint, and finally synchronizes the patient's state to the system in real time for use by other modules or for management terminal to view; The visualization module displays the patient's location and state on the hospital's electronic screen or the patient's mobile device in real time, then displays the patient's optimal path from the current checkpoint to the next checkpoint, and displays the patient's estimated waiting time and inspection time at each checkpoint; The reminding module reminds the patient to go to the next checkpoint when the patient approaches the estimated inspection time (the time difference between the current time and the estimated inspection time exceeds a set threshold), and reminds the patient when the patient's state changes (such as long queuing time, inspection completion, etc.).

[0013] A computer readable storage medium comprising a stored program, wherein the program, when executed, controls a device in which the computer readable storage medium is located to perform the medical examination order full-process monitoring management system as described above.

[0014] A processor for running a program, wherein the program, when executed, performs the medical examination order full-process monitoring management system as described above.

[0015] Compared with the prior art, the beneficial effects of the present application are: The present application inputs the patient's examination items and key information (such as gender, age, disease type and severity, etc.) in detail through the input unit, providing a solid data foundation for subsequent strategy generation and monitoring. In the optimal strategy generation unit, the system can quickly develop an optimal examination order and schedule that can minimize the total examination time of the patient under the premise of meeting the time constraint condition according to the number of examination items and specific circumstances of the patient. This fundamentally solves the problems of process confusion and time waste caused by multiple examinations of the patient, greatly improves the examination efficiency, and reduces the medical burden of the patient. In addition, the introduction of the monitoring and reminding unit makes the time management and progress control of the patient during the examination more accurate and efficient. The system records the patient's residence time at each examination point in real time and compares it with the expected time, and once a delay is found, an early warning is triggered. This mechanism not only enables medical staff to understand the patient's situation in a timely manner so as to take appropriate measures, but also enables the patient to clearly know the examination progress and reasonably plan the subsequent time. Compared with the traditional hospital which only provides queuing reminders, this comprehensive monitoring and reminding system can truly realize the fine management of the patient's examination full process, effectively improving the patient's medical experience and the hospital's operation efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0016] None. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be described below in a clear and complete manner. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0018] It should be understood that when used in the present specification and the appended claims, the terms "comprise" and "include" indicate the presence of described features, integers, steps, operations, elements, and / or components, but do not exclude one or more other features, integers, steps, operations, elements, components, and / or sets thereof.

[0019] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing particular embodiments and are not intended to limit the present application. As used in the specification and the appended claims of the present application, the singular forms "a," "an," and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0020] It should be further understood that the term "and / or" used in the specification and the appended claims of the present application means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0021] In one embodiment of the present application, a medical examination sheet full-process monitoring management system is provided, comprising: I. Input unit The input unit is used to input and store the user's examination items and patient information. The input unit is directly connected to the hospital medical system and directly input by the medical staff, which saves the trouble of automatic patient input and reduces errors in the patient input process.

[0022] The patient information includes at least gender, age, and disease information, and the disease information includes disease type and severity (such as "low", "medium", and "high" levels).

[0023] For example, the disease severity level can be input by the doctor end in the hospital management system, i.e., the disease severity of the current patient is directly obtained from the doctor end. Alternatively, it can be obtained according to the diagnosis and treatment results of the patient.

[0024] For example, after obtaining the disease severity level, the patient's travel impact factor is obtained through a pre-set disease impact reference table, wherein the disease impact reference table pre-stores the disease impact factors corresponding to each disease. The disease impact reference table is as follows: Table 1 Disease Impact Reference Table It should be understood that the above diseases and corresponding impact factors are only for better illustration of the specific embodiments of the present embodiment, and in actual application, the disease types and impact factors can be more specifically designed according to different application scenarios (such as based on the existence of common diseases and regional diseases in a certain area), and a more adaptive disease impact reference table can be formed.

[0025] Further, based on the severity level of the patient's disease and the disease impact reference table, the patient's travel impact factor is calculated, as follows: Wherein, n is the total number of diseases suffered by the patient, It is the weight of the i-th disease. It is the disease impact coefficient of the i-th disease. It is the numerical value corresponding to the severity of the i-th disease (e.g., set to low, medium, and high, corresponding to values ​​of 0.5, 1.0, and 1.5 respectively).

[0026] The weights are allocated as follows: Moreover, weight Disease impact coefficient The weighting is proportional to the weighting of diseases with higher impact coefficients.

[0027] For example, weight It can be calculated using the following formula: In this way, weight Disease impact coefficient Proportional to ensure that diseases with high impact coefficients account for a larger proportion when calculating the travel impact factor.

[0028] In practical applications, this travel impact factor can be used to adjust the travel time for patients from one checkpoint to another.

[0029] The patient's adjusted walking speed is expressed as follows: in, This indicates the patient's actual walking speed. The normal walking speed for the patient's current age, height, and gender is expressed as the average speed of the normal healthy population of the corresponding age, height, and gender.

[0030] II. Optimal Strategy Generation Unit The optimal strategy generation unit is connected to the input unit to obtain the user's list of inspection items. When the user has more than two inspection items, it outputs the optimal strategy, including the inspection order and the start time of the first inspection.

[0031] The process of generating the optimal strategy is as follows: S1: Get the current user's list of inspection items ,in, It is the first i One inspection item, n To check the total number of items; S2: Based on the list of inspection items, obtain the inspection time and the current number of people in the queue for each item, and obtain the list of inspection item times. And the list of people in the queue for the inspection project. ,in, It is the first i The inspection time for each inspection item It is the first i The number of people queuing for each inspection item; S3: Calculate the estimated queuing time and travel time, as follows: ; ; in, Indicates the estimated queuing time. Indicates travel time. This represents the number of people currently queuing for the i-th inspection item. This represents the average queuing time for the i-th inspection item. This represents the distance from the i-th checkpoint (starting point) to the j-th checkpoint (destination point). This indicates the patient's actual walking speed; Furthermore, considering the individual circumstances of each patient and the travel time, an age influence coefficient and a disease influence coefficient are introduced. This is mainly because the walking speed of each patient varies at different ages and with different diseases. Moreover, in complex departments, floors, and buildings, it is more difficult for older patients to find the correct department. Therefore, an age influence coefficient is introduced here to comprehensively reflect the possibility of patients having difficulty walking and finding the correct department.

[0032] Therefore, for example, we first calculate the influencing factors of the time a patient might spend walking in the hospital due to getting lost, as follows: in, Indicates the factor affecting the time spent lost. This indicates the complexity of the floor (the value is between 0 and 1; the more floors the journey from the starting point to the destination (both going up and down count as floors), the larger the value; if the starting point and the destination are on the same floor, the value is 0). This indicates the complexity of the building (values ​​range from 0 to 1; the more buildings a journey takes from the starting point to the destination, the higher the value; a value of 0 indicates that the starting point and destination are in the same building). A represents the patient's age.

[0033] Introducing a time-related factor, the final total travel time is derived as follows: In practical applications, this final total travel time can be used. to arrange the time for patients to move from one checkpoint to another more accurately, to make the schedule more reasonable and humanized.

[0034] S4: to minimize the total examination time The optimal examination time and order strategy for patients is derived as a constraint condition that the time between each examination item cannot conflict and the time from one checkpoint to the next checkpoint is reserved.

[0035] wherein: , is the time when the examination of the last examination item ends For example, a genetic algorithm (GA) is used to generate the optimal examination strategy. The genetic algorithm is a search and optimization technique based on the principles of natural selection and genetics. The specific operation steps are as follows: S401: randomly generate multiple examination orders (chromosomes), and for each chromosome, calculate the total examination time (or , same below); S402: define the fitness function f , specifically: wherein S is an examination order, and the higher the fitness, the shorter the total examination time; S403: select chromosomes for breeding according to the fitness (such as using roulette selection method for selection), then select two parent chromosomes, generate new child chromosomes by exchanging part of the genes, and finally randomly change some genes in the chromosomes to introduce new examination orders.

[0036] S404: calculate the examination time, for each examination order , there is: 1. The start time of the first examination item , wherein is the queuing time of the first item; 2. The end time of the first examination item , wherein is the examination time of the first item; 3. The start time of the subsequent i-th examination item: , wherein is the end time of the k-1-th item, is the time spent from the i-1-th item (starting point) to the i-th item (destination), is the queuing time of the i-th item, and the maximum of the two is taken as the start time of the i-th examination item; 4. End time of the i-th subsequent examination item: wherein, is the examination time of the i-th item.

[0037] S405: Repeat the selection, crossover and mutation operations until a preset number of iterations is reached or the fitness no longer improves significantly.

[0038] III. Monitoring and reminding unit The monitoring and reminding unit includes a timing module, a state tracking module, a visualization module, and a reminding module. Among them, The timing module is used to record the patient's stay time at each checkpoint, including the queuing time and the examination time. Then compare the actual time with the expected time to determine whether there is a delay. Finally, when the actual time exceeds a certain percentage of the expected time, trigger an early warning.

[0039] For example, the front-end code of the timing module is as follows: The front-end code of the timing module is as follows: The state tracking module tracks the patient's location in the hospital in real time, and records the patient's current state (such as queuing, examination, going to the next checkpoint, etc.), and finally synchronizes the patient's state to the system in real time for other modules to use or for the management terminal to view.

[0040] For example, the front-end code of the state tracking module is as follows: The back-end code of the state tracking module is as follows: The visualization module displays the patient's location and state on the hospital's electronic screen or the patient's mobile device in real time, then displays the patient's best path from the current checkpoint to the next checkpoint, and displays the patient's expected waiting time and examination time at each checkpoint.

[0041] For example, the front-end code of the visualization module is as follows: The back-end code of the visualization module is as follows: The reminding module reminds the patient to go to the next checkpoint when the patient approaches the expected examination time (the time difference between the current time and the expected examination time exceeds the set threshold), and reminds the patient when the patient's state changes (such as long queuing time, examination completion, etc.).

[0042] For example, the front-end code of the reminding module can be set as follows: The back-end code is set as follows: To sum up, the application inputs the patient's examination items and key information (such as gender, age, disease type and severity, etc.) in detail through the input unit, and provides a solid data foundation for subsequent strategy generation and monitoring. In the optimal strategy generation unit, the system can quickly develop an optimal examination order and schedule that can maximize the reduction of the total examination time of the patient under the premise of meeting the time constraint condition according to the number and specific circumstances of the patient's examination items. This fundamentally solves the problems of process confusion and time waste caused by multiple examinations of the patient, greatly improves the examination efficiency, and reduces the medical burden of the patient. In addition, the introduction of the monitoring and reminding unit makes the time management and progress control of the patient during the examination process more accurate and efficient. The system records the residence time of the patient at each examination point in real time, and compares it with the expected time. Once a delay is found, an early warning is triggered immediately. This mechanism not only enables medical staff to understand the situation of the patient in time so as to take appropriate measures, but also enables the patient to clearly know the examination progress and reasonably plan the subsequent time. Compared with the traditional hospital that only provides queuing reminders, this all-round monitoring and reminding system can truly realize the fine management of the whole examination process of the patient, effectively improve the medical experience of the patient and the operation efficiency of the hospital Those skilled in the art can appreciate that the units of the examples described in combination with the embodiments disclosed herein can be realized in electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components of the examples have been described in the above description in general terms. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the application.

[0043] In the embodiments provided by the application, it should be understood that the division of units is only a logical functional division. In actual implementation, there can be another division manner, for example, a plurality of units can be combined into one unit, one unit can be split into a plurality of units, or some features can be ignored, etc.

[0044] In addition, each functional unit in each embodiment of the application can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or software functional unit.

[0045] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions to make a computer device (which can be a personal computer, a server or a network device, etc.) execute all or part of the steps of the method described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a read-only memory (ROM, Read-0nly Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0046] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the claims and the specification of the present application.

Claims

1. A medical examination order full flow monitoring management system, characterized by, The application relates to a hospital patient examination strategy optimization system, which comprises the following parts: an input unit for inputting and storing the examination items of a user and patient information, wherein the patient information at least comprises gender, age and disease information, and the disease information comprises disease types and severity; an optimal strategy generation unit connected with the input unit, which is used for obtaining the examination item list of the user, and outputting an optimal strategy when the examination items of the user are more than two, wherein the output mode of the optimal strategy is that the optimal patient examination time and sequence strategy are obtained by taking the minimization of total examination time as a target and taking the time conflict between each examination item and the time reservation from one examination point to the next examination point as constraint conditions; a monitoring and reminding unit which records the staying time of a patient at each examination point, then compares the actual time with the expected time to judge whether there is a delay, and finally triggers a warning when the actual time exceeds the set proportion of the expected time.

2. The medical examination sheet whole flow monitoring management system according to claim 1, wherein The generation process of the optimal strategy is as follows: S1: Acquire the examination item list of the current user wherein, is the i examination item, n is the total number of examination items; S2: based on the inspection item list, obtaining the inspection time of each item and the current queue number, obtaining the inspection item time list and the inspection item queue number list wherein, is the inspection time of the first i inspection item, is the queue number of the first i inspection item; S3: calculating the expected queuing time and the road time, specifically as follows: ； ； wherein, denotes the expected queuing time for item i, denotes the travel time from point i to point j, denotes the actual walking speed of the patient; S4: taking the minimization of total examination time as a target and taking the time conflict between each examination item and the time reservation from one examination point to the next examination point as constraint conditions, the optimal patient examination time and sequence strategy are obtained.

3. The medical examination sheet full flow monitoring management system according to claim 1, wherein total inspection time wherein, is the time of end of inspection for the last inspection item.

4. The medical examination sheet full flow monitoring management system according to claim 2, wherein The actual walking speed of the patient is obtained by the following way: The walking influence coefficient of each patient is obtained through a preset disease influence reference table, wherein the disease influence reference table pre-stores the disease influence coefficients corresponding to various diseases; Based on the severity level of the patient's disease and the disease influence reference table, the patient's walking influence factor is calculated, specifically as follows: wherein n is the total number of diseases suffered by the patient, is the weight of the i-th disease, is the disease impact coefficient of the i-th disease, is the numerical value corresponding to the severity of the i-th disease; The adjusted walking speed of the patient is expressed as: wherein, represents the actual walking speed of the patient, is the average walking speed of a normal person of the current age of the patient and corresponding height and gender.

5. The medical examination sheet full flow monitoring management system according to claim 2, wherein The road time from point i to point j can also be obtained by the following way: wherein, is a labyrinth time impact factor, used to represent the time impact factor that a patient can spend due to the labyrinth while walking inside the hospital.

6. The medical examination single full flow monitoring management system according to claim 5, wherein, The calculation of the maze time influence factor is specifically as follows: wherein, represents the labyrinth time influence factor, represents the floor complexity, represents the building complexity, and A is the patient age.

7. The medical examination sheet full flow monitoring management system according to any one of claims 1 to 6, characterized by, A genetic algorithm is used to generate the optimal examination strategy, and the specific steps are as follows: S401: randomly generating multiple examination sequences, for each chromosome, the total examination time is calculated; S402: define an adaptivity function f , in particular: Wherein, S is an examination sequence, and the higher the fitness is, the shorter the total examination time is; S403: selecting chromosomes for breeding according to the fitness, then selecting two parent chromosomes, generating new child chromosomes by exchanging part of the genes, and finally randomly changing some genes in the chromosomes to introduce new examination sequences; S404: Calculate the check time, for each check sequence , there is: First check item start time wherein, is the queue time for the first item; End time of the first inspection item wherein, is the inspection time for the first item; the start time of the i-th subsequent inspection item: wherein, is the end time of the k-1-th item, is the time taken from the i-1-th item to the i-th item, is the queuing time of the i-th item, and the maximum of the two is taken as the start time of the i-th inspection item; End time of the i-th subsequent inspection item: wherein, is the inspection time of the i-th item; S405: repeating the selection, crossover and mutation operations until the preset iteration number is reached or the fitness is no longer significantly improved.

8. The medical examination single full flow monitoring management system according to claim 1, wherein, The monitoring and reminding unit further comprises a state tracking module, a visualization module and a reminding module, wherein: The state tracking module tracks the position of the patient in the hospital in real time, records the current state of the patient, including queuing, examination and going to the next examination point, finally synchronizes the state of the patient to the system in real time for use by other modules or for checking by a management terminal; The visualization module displays the position and state of the patient on the electronic screen of the hospital or the mobile device of the patient in real time, then displays the best path of the patient from the current examination point to the next examination point, and displays the expected waiting time and examination time of the patient at each examination point; The reminding module reminds the patient to go to the next checkpoint when the patient approaches the expected examination time, and reminds the patient when the patient state changes.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium comprises a stored program, wherein the program, when executed, controls a device in which the computer readable storage medium is located to implement the medical examination order full-process monitoring management system of any one of claims 7.

10. A processor, comprising: The processor is configured to execute a program, wherein the program, when executed, implements the medical examination order full-process monitoring management system of any one of claims 1-6.

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