CN114974530A - Post-diagnosis follow-up method, system and storage medium - Google Patents

Abstract

The present application relates to the technical field of follow-up systems, and in particular, to a post-diagnosis follow-up method, system and storage medium, which include: a patient registers on the patient side according to the visit information to obtain a corresponding patient account; the platform acquires the patient account and Storage, the platform side adds the condition label to the patient account according to the medical treatment information corresponding to the patient account, the platform end connects the patient end to the corresponding physician end according to the medical treatment information and the medical condition label, and generates the corresponding follow-up according to the preset follow-up template. task, the disease label is represented by the disease type of the patient; the physician side conducts follow-up according to the follow-up task to obtain the follow-up result, and sends the follow-up result to the platform side. The present application has the effect of improving the work efficiency of post-diagnosis follow-up.

Description

Post-diagnosis follow-up method, system and storage medium

technical field

The present application relates to the technical field of follow-up systems, and in particular, to a post-diagnosis follow-up method, system and storage medium.

Background technique

Post-diagnosis follow-up refers to a kind of medical rehabilitation observation behavior in which the hospital regularly tracks and understands the changes of the patient’s condition through various methods after diagnosis and treatment.

There are many diseases in medicine, such as some chronic diseases, and the treatment and recovery will take a long process. As the average length of hospital stay is getting shorter and shorter, more and more patients' recovery time at home is getting longer and longer. It means that the needs of patients in post-care, condition observation and health care are getting higher and higher, and the post-diagnosis return visit for patients can not only meet the needs of patients for rehabilitation outside the hospital, but also approach the hospital's medical care and services. work improvement.

When today's patients are discharged from the hospital and recovering outside the hospital, when they need to consult their own rehabilitation problems, they generally use the method of searching the Internet or going to the hospital for consultation. Follow-up work is carried out after contact with patients by telephone and other contact methods. This follow-up method for both the hospital and the patient is inefficient, and there is no way to achieve synchronization and richness of information.

SUMMARY OF THE INVENTION

In order to improve the work efficiency of post-diagnosis follow-up, the present application provides a post-diagnosis follow-up method, system and storage medium.

The first aspect, a kind of post-diagnosis follow-up method provided by the application adopts the following technical scheme:

A post-diagnostic follow-up method comprising the following steps:

The patient registers on the patient side according to the consultation information to obtain the corresponding patient account;

The platform side obtains the patient account and stores it, the platform side adds a condition label to the patient account according to the medical treatment information corresponding to the patient account, and the platform end connects the patient end to the patient account according to the medical treatment information and the medical condition label. The corresponding physician terminal generates a corresponding follow-up task according to a preset follow-up template, and the condition label is characterized as the disease type of the patient;

The doctor terminal performs follow-up according to the follow-up task to obtain follow-up results, and sends the follow-up results to the platform terminal.

In some of these embodiments, the platform adds a condition label to the patient account according to the medical treatment information corresponding to the patient account, including:

Obtain the patient's medical treatment etiology according to the described medical treatment information, and create a condition label according to the medical treatment cause, which is defined as the first medical condition label;

Input the cause of medical treatment into the historical etiology database, and determine whether there is high-risk complication information associated with the cause of medical treatment in the historical etiology database, and the historical etiology database includes various disease information and its associated high-risk concurrent disease information ;

If there is, a condition label is created according to the high-risk complication information associated with the cause of the visit, and is defined as a second condition label.

In some of these embodiments, a condition label is created according to the high-risk complication information associated with the cause of the visit, and is defined as a second condition label, further comprising:

Obtain the value of the key check items in the high-risk complication information associated with the cause of the visit, and compare the value of the check item in the visit information with the value of the key check item to determine whether there are at least two check item values An abnormality occurs, wherein the value of the key check item in the high-risk complication information associated with the cause of the visit is characterized by the limit theoretical value when the patient suffers from the disease;

If the values of at least two check items in the medical treatment information are abnormal, set the second condition label as a dominant label;

If the value of less than two check items in the medical consultation information is abnormal, then the second condition label is set as a recessive label.

In some embodiments, the platform connects the patient to the corresponding physician according to the medical consultation information and the condition label, and generates a corresponding follow-up task according to a preset follow-up template, including:

The platform terminal stores preset follow-up templates corresponding to various diseases, and the follow-up templates include at least patient name, medical visit information, patient contact information, follow-up date, follow-up log, rehabilitation plan, doctor's name, and doctor's contact information;

The platform terminal obtains a corresponding follow-up template according to the disease label;

The platform automatically preliminarily fills in the information in the follow-up template according to the medical visit information, and generates a corresponding follow-up task, where the follow-up task includes a plurality of follow-up nodes, and the plurality of follow-up nodes all correspond to a follow-up time.

In some of these embodiments, the physician terminal performs follow-up according to the follow-up task to obtain follow-up results, including:

The physician terminal receives the follow-up task, connects with the patient terminal according to the follow-up node of the follow-up task for follow-up, and updates and fills in the follow-up template corresponding to the follow-up node in the follow-up task according to the follow-up process;

When the follow-up is completed, the physician side stores the updated follow-up template to the platform side to obtain the follow-up results, and the patient obtains and views the follow-up results through the patient side.

In some of these embodiments, the doctor terminal includes a doctor terminal for a doctor, a docking doctor terminal, and a doctor terminal on duty. After the platform terminal connects the patient terminal to the corresponding doctor terminal according to the consultation information, the patient uses the patient terminal Carrying out a medical inquiry includes the following steps:

The platform end includes a question-and-answer library, and judges whether the patient's condition query is included in the question-and-answer library;

If it is included, the docking physician terminal obtains the reply authority, and obtains the reply language matching the condition query through the consultation question-and-answer database to reply;

If it is not included, the docking doctor terminal sends the reply content and reply authority to the visiting doctor terminal for permission approval after replying. After permission approval, the reply content is cleared and the reply permission is moved to the doctor's side;

If the answering time of the docking doctor terminal exceeds the preset time, the reply authority is moved to the on-duty doctor's terminal, and the on-duty doctor's terminal judges whether the condition query is included in the consultation question-and-answer database for answering.

In some of the embodiments, the platform pushes propaganda and education content to the patient account according to the condition label corresponding to the patient account, which specifically includes the following steps:

If the patient account only contains the first disease label, then push the corresponding first-rank propaganda content according to the first disease label;

If the patient account includes a first disease label and a second disease label, push the corresponding first-order propaganda content according to the first disease label and push the corresponding second-order propaganda content according to the second disease label , where the push priority of the first-rank missionary content is higher than that of the second-rank missionary content.

In some of these embodiments, a scoring method is also included, comprising the following steps:

After the doctor terminal performs an interactive update action based on the operation of the patient terminal, the platform terminal intelligently scores the doctor terminal based on the preset first scoring rule to obtain the first score, and the patient terminal is based on the preset first scoring rule. According to the second scoring rule, the physician side is manually scored to obtain the second score, and the platform side receives the first score and the second score and calculates the final score according to the preset scoring rule, and associates the final score with the physician displayed on the account of the terminal.

In the second aspect, the application provides a post-diagnosis follow-up system, which adopts the following technical scheme:

A post-diagnosis follow-up system includes a patient end, a platform end and a physician end, wherein:

The patient terminal is used for the patient to register on the patient terminal according to the consultation information to obtain the corresponding patient account, and the patient uses the patient terminal to view the follow-up results;

The platform terminal includes a storage module, a follow-up module, and a label module, the platform terminal obtains the patient account and connects the patient terminal to the corresponding doctor terminal according to the medical treatment information, and the storage module stores the patient account number, The labeling module is used to add a condition label to the patient account according to the medical visit information corresponding to the patient account, and the follow-up module is used to generate a corresponding follow-up task according to a preset follow-up template;

The doctor terminal is used for the doctor to follow up the patients on the patient terminal according to the follow-up task to obtain follow-up results.

In a third aspect, the application provides a computer storage medium, which adopts the following technical solutions:

A computer storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements any one of the above post-diagnosis follow-up methods.

To sum up, the present application includes the following beneficial technical effects:

1. The patient will register on the patient terminal according to the consultation information, and obtain the corresponding patient account, and obtain the corresponding condition label according to the consultation information and display it, and connect to the corresponding doctor terminal according to the doctor information filled in the consultation information to realize Online connection between the patient end and the doctor end, the doctor end can get the corresponding follow-up tasks through the disease label displayed on the patient end, and connect with the patient end to conduct online follow-up, and send the follow-up results to the platform end for patients to view, It realizes the rapid establishment of follow-up tasks, and facilitates follow-up work online, without the need for patients to repeatedly go to the hospital and doctors for offline follow-up and follow-up during the recovery period, which improves the follow-up efficiency.

Description of drawings

Fig. 1 is the overall flow schematic diagram of the embodiment of the present application;

Fig. 2 is the logical schematic diagram of setting disease label in the embodiment of the present application;

Fig. 3 is the schematic flow chart during follow-up visit in the embodiment of the present application;

FIG. 4 is a schematic diagram of a logic when inquiring and replying in an embodiment of the present application;

FIG. 5 is a schematic diagram of the logic of judging whether the response time is exceeded when responding to an inquiry in an embodiment of the present application;

FIG. 6 is a schematic flowchart of scoring a physician terminal in an embodiment of the present application.

Detailed ways

For a clearer understanding of the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below with reference to the accompanying drawings and embodiments. However, it will be apparent to one of ordinary skill in the art that the present application may be practiced without these details. In some instances, well-known methods, procedures, systems, components and/or circuits have been described at a high level without undue elaboration in order to avoid obscuring aspects of the application with unnecessary description Repeat. It will be apparent to those skilled in the art that various changes can be made in the embodiments disclosed herein, and the general principles defined in this application may be applied to other Examples and application scenarios. Therefore, this application is not limited to the embodiments shown, but is to be accorded the widest scope consistent with the scope of what is claimed herein.

Unless otherwise defined, the technical or scientific terms involved in this application shall have the general meaning understood by a person with ordinary skills in the technical field to which this application belongs. The terms used in this application are for the purpose of describing particular embodiments only, and are not intended to be limiting of the application. As used in this application, words like "a," "an," "an," "the," "these," and the like do not denote quantitative limitations, and they may be singular or plural. The terms "comprising", "comprising", "having" and any variations thereof referred to in this application are intended to cover non-exclusive inclusion; for example, processes, methods and The system, product or device is not limited to the listed steps or modules (units), but may include unlisted steps or modules (units), or may include other steps or modules inherent to these processes, methods, products or devices (unit).

As used in this application, "plurality" refers to two or more. Normally, the character "/" indicates that the objects associated with each other are an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only for distinguishing similar objects, and do not represent a specific order for the objects.

The terms "system", "engine", "unit", "module" and/or "block" as used in this application are a class of different components, elements, parts, components, assemblies, or a method of functions. These terms can be replaced by other expressions that serve the same purpose. Generally, a "module", "unit" or "block" referred to in this application refers to a collection of logic or software instructions embodied in hardware or firmware. The "modules," "units," or "blocks" described in this application may be implemented as software and/or hardware, and in the case of software implementation, they may be stored in any type of non-volatile computer-readable storage medium or storage device.

In some embodiments, software modules/units/blocks may be compiled and linked into executable programs. It will be appreciated that a software module may be callable from other modules/units/blocks or from itself, and/or may be called in response to detected events or interrupts. Software modules/units/blocks configured to be executed on a computing device may be provided on a computer-readable storage medium, such as an optical disc, digital video disc, flash drive, magnetic disk, or any other tangible medium, or as a digital download (and may be initially Stored in a compressed or installable format that needs to be installed, decompressed, or decrypted before execution). Such software code may be stored, in part or in whole, on the memory device of the executing computing device and utilized in the operation of the computing device. Software instructions may be embedded in firmware, such as EPROM. It will also be appreciated that hardware modules/units/blocks may be included in connected logic components, such as gates and flip-flops, and/or may be included in programmable units, such as programmable gate arrays or processors. The modules/units/blocks or computing device functions described herein may be implemented as software modules/units/blocks, and may also be represented in hardware or firmware. In general, the modules/units/blocks described herein may be combined with other modules/units/blocks or divided into submodules/subunits/subblocks despite their physical organization or storage. The description may apply to a system, an engine, or a portion thereof.

It will be understood that when a unit, engine, module or block is referred to as being "on", "connected" or "coupled to" another unit, engine, module or block, it will be understood that Other units, engines, modules or blocks may be directly on, connected or coupled to or in communication with other units, engines, modules or blocks, or there may be intervening units, engines, modules or blocks, unless the context clearly dictates otherwise. In this application, the term "and/or" can include any one or combination of the above associated listed items.

The present application will be further described in detail below in conjunction with accompanying drawings 1-6.

The embodiment of the present application discloses a post-diagnosis follow-up method.

As shown in Figure 1, a post-diagnostic follow-up method includes:

S100, the patient registers on the patient side according to the medical treatment information to obtain a corresponding patient account.

The consultation information includes the patient's name, gender, contact information, ID number, the doctor's terminal, registration information, check values, test results, and information on taking medicines, including name, gender, contact information, ID number, and the doctor's terminal. and other information can be filled in manually, while the registration information, examination value, examination results, medicine information and other information can be uploaded by taking pictures. After the patient registers, the patient will be corresponding and unique. The patient account number, which is used to represent the record object information of the whole process of physiotherapy for the patient.

When subsequent patients want to log in to this account again, they only need to enter the login information that they preset during registration, such as ID number, mobile phone number, etc.

S200, the platform side obtains the patient account and stores it, the platform side adds the condition label to the patient account through the medical treatment information corresponding to the patient account, and the platform end connects the patient end to the corresponding physician end according to the medical treatment information and the medical condition label, and The set follow-up template generates corresponding follow-up tasks.

Among them, the disease label is characterized by the disease type of the patient. For example, patient A's consultation information shows that patient A's systolic blood pressure is 170mmHg and diastolic blood pressure is 101mmHg, which is greater than the normal standard of 120-139mmHg systolic blood pressure and 80-89mmHg diastolic blood pressure, and the doctor's diagnosis result is grade 2 For high blood pressure, the condition label of "grade 2 hypertension" is generated and added to the patient account. It should be noted that the condition label is an explicit label, that is, when displayed on the user side and the physician side, The condition label will be displayed next to the patient's patient account, so that the doctor can quickly understand the patient's condition, and there is no need for the doctor to repeatedly check the patient's uploaded visit information to know the patient's condition when faced with many patients.

As shown in FIG. 2 , in S210 , the cause of the patient's visit is acquired according to the visit information, and a condition label is created according to the cause of the visit, which is defined as the first condition label.

When a patient visits a doctor in a hospital, he or she will often get a medical examination result and the cause of the disease after the examination and operation. , such as fractures, cancer, coronary heart disease, etc. At this time, the platform can obtain the disease type in the medical treatment information through image recognition and neural algorithm through the medical treatment information uploaded by the patient on the patient end, such as medical record pictures, and the cause of the medical treatment. A condition label is created according to the cause of the visit. This label is an explicit label, that is, it will be displayed on the patient's patient account, and the condition label is defined as the first condition label.

For another example, before patient A was admitted to the hospital, the admission diagnosis was cerebral infarction, and when the patient was discharged after treatment, the discharge diagnosis was cerebral infarction and hyperhomocysteinemia, which may be caused by cerebral infarction during hospitalization. In the case of a related disease, the time of uploading the patient's medical information shall prevail. If the patient uploads the medical information during the examination but does not receive the medical information, "cerebral infarction" will be used as the first condition label. If the patient is in the If you upload the medical treatment information again when you are discharged from the hospital, the first condition label will be updated to "cerebral infarction" and "hyperhomocysteinemia". It should be noted that, during the process of the patient being admitted to the hospital for treatment, the physician side can also manually update the patient's first condition label by updating the visit log.

S211 , input the cause of medical treatment into the historical etiology database, and determine whether there is high-risk complication information associated with the cause of medical treatment in the historical etiology database.

When the platform side obtains the cause of the patient's visit, the platform side can infer whether the patient may have high-risk complications associated with the cause of the visit according to the cause of the visit. On the platform side, a historical etiology database is set up. The historical etiology database stores the diseases obtained by all patients in the historical diagnosis process and the high-risk complications that occur during the treatment and consultation process. The association relationship is integrated and connected to obtain a disease extraction library composed of several groups of associated disease strings, where the associated disease strings can be one-to-one or one-to-many. For example, when hypertension is used as the primary disease, the high-risk complication is stroke. , cerebral infarction, cerebral thrombosis, glomerular arteriosclerosis, kidney damage, renal failure, high-risk complication of shoulder fracture is arthritis.

Another example is a mild cold, because the symptoms are mild, and high-risk complications will not occur most of the time. It can be judged according to clinical in-depth whether the condition of a mild cold will aggravate and then determine whether there are corresponding high-risk complications.

Among them, the historical etiology database of multiple networked hospitals can be shared.

S212, if it exists, create a condition label according to the high-risk complication information associated with the cause of the visit, and define it as a second condition label.

If the patient is treated for pneumonia, after the patient uploads the medical treatment information, the platform will obtain the cause of pneumonia according to the medical treatment information, and output the "pneumonia" to the historical etiology database, and the historical etiology database is associated with "pneumonia" The high-risk complications are "sepsis", "viral myocarditis" and "respiratory failure". At this time, the platform defines these three high-risk complications as the second condition label.

Through this method, when defining the patient's disease label, the already diagnosed disease can be labeled, and the possible high-risk complications of the patient can be labeled at the same time, so that both the patient and the doctor can identify the disease in advance. The diseases on the list and the diseases that may be complicated in the future are marked and early warning, and preventive preparations are made in advance. If the doctor sees that the patient suffers from pneumonia, they can simultaneously check the physical examination indicators of possible high-risk complications while treating the pneumonia, reducing the possibility of sudden complications that cannot be treated in time.

Further, because some diseases related to blood vessels, heart, organs, etc. will be associated with a large number of high-risk complications, adding a large number of high-risk complications as a second disease label, not only in patients. Too many condition labels displayed on the account will also increase the patient's anxiety, and will also add more pressure to the doctor's work. Therefore, in order to carry out certain management and classification of the second condition label, on the basis of S212 , which also includes the following steps:

S213: Acquire the value of the key check items in the high-risk complication information associated with the cause of the visit, and compare the value of the check item in the visit information with the value of the key check item to determine whether at least two check item values are abnormal.

The value of the key check item associated with the cause of the visit is characterized by the limit theoretical value when the patient suffers from this disease, and when a certain value is higher or lower than this limit theoretical value, then it is determined that the check item value is abnormal, and what is it? Above or below is specified by clinical medical regulations.

For example, patient A suffers from pneumonia, and its high-risk complications are "sepsis", "viral myocarditis" and "respiratory failure". Let's take "sepsis" as an example, and the key examination items for sepsis are White blood cells, c-reactive protein, plasma procalcitonin, creatinine, coagulation function, platelets, plasma total bilirubin, blood lactate, etc. These indicators are the key check items for judging whether to suffer from sepsis. The values of the check items are compared with the values of these key check items to determine whether any values are abnormal.

S214 , if the values of at least two check items in the medical treatment information are abnormal, set the second condition label as a dominant label.

Still taking the above-mentioned "sepsis" as an example, when the number of white blood cells is greater than 12 × 10 to the ninth power per liter or less than 4 × 10 to the ninth power per liter, the value of the white blood cell check item is abnormal, and when c reacts. When the protein exceeds two standard deviations of the normal value, the value of the c-reactive protein check item is abnormal. When the plasma procalcitonin exceeds two standard deviations of the normal value, the check item value of plasma procalcitonin is abnormal, and when the creatinine is increased When it is greater than 44.2 micromoles per liter, the value of the check item of creatinine is abnormal; when the activated partial thromboplastin time aptt is greater than 60 seconds, the value of the test item of coagulation function is abnormal; when the platelet is less than 100×10 ninth power per liter When the value of the test item for platelets is abnormal, when the blood lactate is greater than 1 mmol per liter, the value of the test item for blood lactate is abnormal.

Then, after comparing the values of several inspection items in the consultation information with the values of key inspection items, it is found that the values of white blood cells, c-reactive protein, creatinine and platelets of patient A all fall outside the theoretical limit values of key inspection items, indicating that these four The value of the check item is abnormal, and the number of abnormal check item values is greater than two, then it is considered that the patient is most likely to suffer from pneumonia, and also suffer from sepsis, which is a high level of pneumonia. At this time, "sepsis" is used as an explicit second condition label and displayed on the patient account, reminding patients and doctors of the possibility of complications.

As shown in Figure 2, and so on, compare the values of the check items in the patient's consultation information with the values of the key check items of possible high-risk complications, and screen out the complications with higher risk as the obvious ones. Sex labels are displayed.

S215 , if the values of less than two check items in the medical consultation information are abnormal, set the second condition label as a recessive label.

Taking the above-mentioned "sepsis" as an example, when comparing the values of the inspection items in the medical treatment information with the values of the key inspection items, it is found that only the data of white blood cells is abnormal, then it is considered that patient A has a high probability of still being diagnosed. If you do not suffer from the high-risk complication of sepsis, then set this second condition label as a hidden label. The hidden second condition label will not be displayed on the patient account, but will be hidden. While reducing the psychological burden on patients, it can also reduce the work pressure of doctors. When the results of the check items in the follow-up visit information are updated, if the value of the check item results changes and the results of more than two check items are abnormal, the recessive second condition label will be updated to an explicit second condition. Label.

Through this method, classification labels are set for high-risk complications that may be caused by the etiology of the visit, and the setting of an explicit second condition label can remind patients and doctors that there is a high probability of the possibility of complications, which is convenient for Preparing patients in advance is also convenient for doctors to carry out follow-up treatment. Setting a hidden second disease label can make early statistics on some complications with a low probability of disease at present, without the need for doctors to always consider the conditions that cause complications. , reducing the work pressure of doctors.

Further, in order to improve the intuitiveness of the prompting of the disease label, the platform can distinguish the disease label by color, and the classification rules can be modified through daily use accumulated opinions. For example, the first disease label with more serious disease uses the red label, and the disease is mild The first condition label uses green label, the second condition label uses the same yellow label, acute disease uses orange label, chronic disease uses yellow label, etc. Because patients may not be very familiar with some rare diseases and complications, it is possible If there is a more serious disease but the patient does not pay attention, or the patient with a mild disease is overly worried, labels of different colors are set to distinguish the disease labels, and the patient can roughly understand the priority of their disease through the color of the label.

Further, in order to reduce the misjudgment of the second condition label, when the patient sees a second condition label representing a complication displayed on his patient account, after communicating with the doctor, it is confirmed that there is no second condition label. When the second condition label is displayed on the condition label, the patient side can manually cancel or hide the second condition label, and then after the complication symptoms appear or the complication is confirmed, the second condition label can be manually removed. The condition label is displayed.

The patient side is a mobile networked device that is used daily, such as a mobile phone, tablet computer, laptop computer, desktop computer, etc. It can also be a mobile electronic watch or a patient rehabilitation bracelet customized by the hospital, and because patients most often use mobile phones Or you can check your own patient account with your watch or bracelet. Therefore, when you think that a patient is sick, there may be multiple second disease labels representing complications. These labels may not be displayed together on the mobile phone. At the same time, Even if they can be displayed together, the interface will be too bloated, so in another embodiment, in a patient interface, only one first condition label and one second condition label are displayed next to the patient account name, and the second condition label is displayed. Complications with the highest correlation or highest risk are screened out by an algorithm on the platform, or they can be manually adjusted by the patient, while the remaining second disease labels are displayed on the second disease labels by means of quantitative angle labels, such as one. The patient has four second condition labels, and only one of the second condition labels A is displayed, and the remaining three will display a "3" at the upper right of A, which means that it compresses the three remaining non-displayed first labels. Two condition labels, the user can view all his own second condition labels by clicking on the only displayed second condition label. The same is true for subsequent physicians.

As shown in Figure 3, wherein, the platform terminal connects the patient terminal to the corresponding physician terminal according to the consultation information and the condition label, and generates the corresponding follow-up task according to the preset follow-up template, including the following steps:

S220, the platform side obtains a corresponding follow-up template according to the condition label.

The platform has pre-stored follow-up templates corresponding to various diseases. The follow-up templates include at least the patient's name, medical information, patient contact information, follow-up date, follow-up log, rehabilitation plan, doctor's name, doctor's contact information, etc.

There are some details in the follow-up template, which are slightly different for different diseases, such as acute diseases, chronic diseases, etc. According to the length of treatment time, the follow-up date, follow-up log, and rehabilitation plan template in the follow-up template will be somewhat different.

The platform side finds the corresponding follow-up template according to the content in the disease label. For example, if the first disease label of patient A is "diabetes", the platform side will select the follow-up template corresponding to diabetes from among the stored preset follow-up templates. In this way, it is convenient for physicians to fill in and update the content in the follow-up template, because if all diseases use a common follow-up template, it may happen that the follow-up template and the follow-up process cannot be matched during the follow-up process, and some Immediately the templates are classified according to the condition, which can improve correspondence and efficiency.

As an extreme example, if patient A has cancer and patient B has bacterial enteritis, then the platform obtains the corresponding follow-up template through the first condition label of patient A's "cancer", and at the same time obtains the corresponding follow-up template through patient B's "cancer". The corresponding follow-up template can be obtained from the first condition label of bacterial enteritis, and patient A's condition is significantly worse than that of patient B, and the treatment time, treatment cycle, and treatment method of cancer are completely different from those of bacterial enteritis, so patient A In the follow-up template of patient B, the follow-up period, follow-up date, rehabilitation plan, etc. must be completely different from the follow-up template of patient B. Therefore, classifying and managing the follow-up templates of different diseases is helpful for quick follow-up work.

It should be noted that the generation of the follow-up template is only for the first condition label, and the second condition label is not considered in the automatic generation stage, because the second condition label represents complications, and complications may not occur. At this time, if the follow-up template is generated according to the second condition label, it will increase the workload of the doctor, and the generation of the second condition label can wait for the in-depth treatment. Manually generated on the physician side.

S221, the platform terminal automatically fills in the information in the follow-up template automatically according to the medical visit information, and generates a corresponding follow-up task.

The platform automatically fills in the basic information in the follow-up template according to the consultation information, such as the patient's name, gender, contact information, doctor's name, disease type, inspection item data, etc. The follow-up task is sent to the corresponding physician. When the platform side fills in the data, it can know the doctor's name associated with the patient according to the consultation information, and can send the corresponding follow-up task to the corresponding doctor terminal according to the doctor's information.

The follow-up task includes multiple follow-up nodes, and each of the multiple follow-up nodes corresponds to a follow-up time.

S300, the physician terminal performs follow-up according to the follow-up task to obtain follow-up results, and sends the follow-up results to the platform terminal.

S310, the physician side receives the follow-up task, and performs follow-up with the patient side according to the follow-up node of the follow-up task, and updates and fills in the follow-up template corresponding to the follow-up node in the follow-up task according to the follow-up process.

S320 , when the follow-up is completed, the physician terminal stores the updated follow-up template on the platform terminal to obtain the follow-up results, and the patient obtains and views the follow-up results through the patient terminal.

If patient A needs to follow up once a week, and the follow-up time is set at 5 pm every Saturday, then during this follow-up time, the doctor needs to connect with the patient to perform the follow-up tasks under this node, and according to the follow-up time During the process, the content in the follow-up template is updated and filled, such as the current patient's overall condition, medication status, follow-up judgment, time for the next visit to the hospital, and so on. When the follow-up task of this node is completed, the physician will send the updated follow-up results to the platform, and the patient can view it.

Among them, in order to remind the doctor of the follow-up node of each follow-up task, a reminder function can be set at a preset time before the follow-up time corresponding to each follow-up node, and the doctor can be reminded by means of a bell or the like.

Sometimes it may happen that the doctor forgets to perform the follow-up task due to too much work. Therefore, the patient side has the right to fill in the blank follow-up template on a certain follow-up node within a preset time. It can be used for blank follow-up templates, because non-blank follow-up templates must be filled in by physicians after follow-up visits. Patients may unintentionally modify the contents of the follow-up templates, which will affect subsequent treatment, and users may also Only when the doctor does not follow up at the scheduled time, the follow-up template on the node corresponding to this time point can be modified. The modification authority can only be limited to the follow-up log, the overall condition of the patient, the medication status, etc. This enables patients to record some of their own states when the doctor is unable to follow up, and then update and modify the content of the follow-up template updated by the patient through the doctor's terminal, so as to ensure the continuity of follow-up tasks.

As shown in Figure 4 and Figure 5, at the same time, in addition to receiving follow-up visits, the patient may have some questions and want to ask the doctor during the daily treatment or rehabilitation process. At this time, it may be inconvenient for the patient to go to the hospital. It is possible to search online, and there are often a lot of wrong information on the Internet. These wrong information may have a negative effect on the recovery of the patient. At this time, how to ensure the smoothness of online communication between the patient and the doctor is extremely important.

In another embodiment, the physician end includes a visiting physician end, a docking physician end, and an on-duty physician end. The visiting physician is the attending doctor who is responsible for the examination and treatment of the patient when the patient visits, and the docking physician is the docking doctor associated with the visiting physician, which can be other doctors in the same department or doctors managed by the docking doctor, etc. Mainly responsible for communicating with patients when the doctor is busy. The doctor on duty is a doctor who is responsible for responding to some emergencies when neither the visiting doctor nor the docking doctor is online. The doctor on duty generally remains online 24 hours a day.

After the platform terminal connects the patient to the corresponding doctor terminal according to the consultation information, the patient uses the patient terminal to query the condition including the following steps:

S400, determine whether the patient's condition query is included in the consultation question-and-answer database.

S410, if it is included, the docking physician terminal obtains the reply authority, and obtains a reply phrase matching the condition query through the consultation question-and-answer database to reply.

S420, if not included, after the docking doctor responds, the reply content and the reply authority are forwarded to the visiting physician for permission approval. If the visiting physician passes the permission approval, the reply content is sent to the patient. With permission approval, the reply content will be cleared and the reply permission will be moved to the doctor side.

The consultation question and answer library includes the platform, and the consultation question and answer library stores a large number of frequently asked questions of patients, such as the dosage of a certain medicine, the problems that may be caused by changes in one's own body, when can an appointment be made, the visiting time of the attending doctor, and the examination. Questions about the value of items, etc., and set up corresponding answering techniques for each question, such as the use of medicine A - take medicine A twice a day, 3 capsules each time, doctor A's visit time - doctor A's Visiting hours are Monday to Thursday from 8:00 am to 5:00 pm and so on.

When a patient asks a question through the patient terminal, after seeing the question, the doctor connected to the doctor will search whether there is a corresponding answering technique in the Q&A database. . Among them, the query method can use common keyword extraction methods, such as drug name, doctor name, etc. Each keyword can correspond to multiple questions, and multiple questions correspond to multiple answering words, such as when a doctor searches for a drug A, there will be several questions, such as the use of drug A, the contraindication of drug A, the price of drug A, the side effects of drug A, etc. The doctor can choose the corresponding answering technique to reply.

Nowadays, in many fields, the platform automatically recognizes keywords, and automatically finds the method of answering words through keywords. However, in this application, because in the medical field, there are relatively clear precautions for patients' problems. In the case of a wrong reply in the intelligent reply, a large safety accident may occur if the patient ingests the wrong medicine. Therefore, in this embodiment, the doctor manually searches for keywords and manually selects the corresponding reply technique. , to avoid errors that may lead to problems that affect the patient's health.

Some questions will be targeted to a certain extent, so they cannot be found in the consultation question and answer database. At this time, the docking doctor can manually answer the question according to the question. When a patient sees a doctor, the attending doctor will formulate a rehabilitation plan and follow-up plan according to the patient's condition. When the patient asks some questions about the content of rehabilitation or follow-up, the docking doctor may not understand the rehabilitation plan and follow-up plan and make mistakes In order to prevent such a situation, when the docking doctor manually answers the question, it needs to be approved by the visiting doctor.

At this time, the reply content and the reply permission will be sent to the visiting doctor together. After receiving it, the attending doctor will check the reply content to determine whether it has passed the permission approval. Send it directly to the patient terminal; if the doctor feels that the reply content conflicts with the rehabilitation plan and follow-up plan set by him, it will not pass the permission approval, and the reply content from the docking doctor terminal will be automatically deleted, and the doctor needs to answer the question. Make a reply and send the reply content to the patient side through the reply permission.

The advantage of doing this is that when the doctor responds to the docking station, the doctor only needs to check whether the content meets the requirements. If it does, the doctor no longer needs to reply, which reduces the workload of the attending doctor and ensures that the response is accurate. The content has the correct rehabilitation effect for the patient, and when the requirements are not met, the attending doctor can reply by himself, so as to reduce the workload and ensure the accuracy of the reply content.

S430 , if the answering time of the docking physician terminal exceeds the preset time, the reply authority is moved to the on-duty physician terminal, and the on-duty physician terminal determines whether the condition inquiry is half-hearted in the consultation question-and-answer database for answering.

Sometimes it happens that the docking doctor cannot respond to the question in time due to work needs. Therefore, a preset time can be set, which can be 3 minutes or 5 minutes. When the preset time is exceeded, the permission to answer questions will be moved to 24-hour online. The doctor on duty will answer the questions. When the doctor on duty replies, the logic of the answer is the same as that of the docking doctor. If the question is included in the question and answer database, it will be answered through the answering technique in the database. .

In this way, the communication timeliness between the patient end and the doctor end can be ensured, so that the patient's question can be answered accurately as soon as possible without a long wait.

The platform side can also push propaganda and education content to the patient account according to the condition label corresponding to the patient account, including:

S500, if the patient account only contains the first condition label, push the corresponding first-rank propaganda and education content according to the first condition label.

S510, if the patient account includes a first condition label and a second condition label, push the corresponding first-order propaganda content according to the first disease label, and push the corresponding second-order propaganda content according to the second disease label, Among them, the push priority of the first-rank missionary content is higher than that of the second-rank missionary content.

Propaganda and education means publicity and education. Doctors can upload a large number of videos, articles, papers, etc. on the topic of treatment, rehabilitation, and prevention of various diseases to the platform, and classify them according to different types of diseases.

The platform will then push these propaganda and education content in a targeted manner according to the condition label in the sick account.

When pushing, because the first condition is labeled as the cause of medical treatment, and the second condition is labeled as complications, it is necessary to set the push priority when pushing the content, because the patient will feel tired after watching several propaganda and education content. If the propaganda content corresponding to the two labels is pushed together, it may happen that the patient will not read the content corresponding to the first disease label after reading the content corresponding to several second disease labels. The priority is higher than the push priority of the second-rank mission content.

As shown in Figure 6, in order to urge the physician to follow up the patient and answer questions in a timely manner, the scoring method includes the following steps:

S600, after the doctor terminal performs an interactive update action based on the operation of the patient terminal, the platform terminal intelligently scores the doctor terminal based on the preset first scoring rule to obtain the first score, and the patient terminal performs the intelligent scoring on the doctor terminal based on the preset second scoring rule Perform manual scoring to obtain the second score. After receiving the first score and the second score, the platform calculates the final score according to the preset scoring rules, and associates the final score with the doctor's account for display.

The interactive update action refers to the follow-up between the patient side and the doctor side, the doctor side responding to the patient side's questions, the doctor side updating the rehabilitation plan on the patient side, and so on.

Among them, the first scoring rule is: according to the corresponding time when the doctor interacts, and solve it within the specified time, such as replying to the question sent by the patient within the specified time or carrying out the follow-up task within the specified time, 5 points will be given (in this example, 5 points are full points), and appropriate points will be deducted according to the length of time that exceeds the specified time. For example, if the answer is preset within 10 minutes, if it exceeds 10 minutes, every 5 minutes is exceeded. Then deduct 1 point, and so on to calculate the final score.

The second scoring rule is: score according to the overall feeling of the patients who use the patient terminal, such as the length of time to get a response, the seriousness of the doctor during the follow-up process, the satisfaction with the follow-up results, the satisfaction with the pushed education content, etc. There is an option to give a score of 0-5 (in this case, 5 out of 5). At the same time, in order to know the opinion of the patient, the patient can fill in the reason for the deduction and the opinion while scoring, so as to urge the corresponding physician to make corrections.

After the platform receives the first score and the second score, it can be calculated by averaging or weighting. The method of taking the average is relatively simple. For example, the first score is 5 points and the second score is 4 points. At this time, the calculated average value is 4.5 points. Finally, 4.5 points are used as the final score, and it is linked to the account of the doctor. show. The weighting method is used because the intelligent score on the platform is based on the time of interactive response, and the patient's score represents the real experience of the patient. Therefore, the patient's score represents the service quality of the doctor in a greater sense, so the first score can be regarded as the first score. It occupies 30% of the weight coefficient, and the second score occupies 70% of the weight coefficient. If the first score is 5 points and the second score is 3 points, then after the calculation of (5*0.3+3*0.7) The score is 3.6 points.

In practical application, the scoring rules can be changed accordingly according to the problems in the specific implementation process.

In another embodiment, a post-diagnosis follow-up system is also disclosed, including a patient end, a platform end and a physician end.

The patient terminal is used for the patient to register on the patient terminal according to the consultation information to obtain the corresponding patient account, and the patient uses the patient terminal to view the follow-up results;

The platform end includes a storage module, a follow-up module, and a label module. The platform end obtains the patient account and connects the patient end to the corresponding physician end according to the consultation information. The medical treatment information adds the condition label to the patient account, and the follow-up module is used to generate the corresponding follow-up task according to the preset follow-up template;

The physician side is used for physicians to follow up the patients on the patient side according to the follow-up tasks to obtain follow-up results.

Further, the platform side also includes a historical etiology database, a question-and-answer database, a reply module, an authority module, a propaganda module, a scoring module, and so on.

A post-diagnosis follow-up system can also be used for functions such as appointment registration, patient complaints, and satisfaction surveys.

Another embodiment discloses a computer storage medium on which a computer program is stored, and when the computer program is executed by a processor, the above-mentioned post-diagnosis follow-up method is implemented.

The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore: all equivalent changes made according to the structure, shape and principle of the present application should be covered within the scope of the present application. Inside.

Claims (10)

1. a post-diagnosis follow-up method, is characterized in that, comprises the following steps: The patient registers on the patient side according to the consultation information to obtain the corresponding patient account; The platform side obtains the patient account and stores it, the platform side adds a condition label to the patient account according to the medical treatment information corresponding to the patient account, and the platform end connects the patient end to the patient account according to the medical treatment information and the medical condition label. The corresponding physician terminal generates a corresponding follow-up task according to a preset follow-up template, and the condition label is characterized as the disease type of the patient; The doctor terminal performs follow-up according to the follow-up task to obtain follow-up results, and sends the follow-up results to the platform terminal. 2. a kind of post-diagnosis follow-up method according to claim 1, is characterized in that, described platform terminal adds the condition label to described patient account according to the medical treatment information corresponding to described patient account, comprises: Obtain the patient's medical treatment etiology according to the described medical treatment information, and create a condition label according to the medical treatment cause, which is defined as the first medical condition label; Input the cause of medical treatment into the historical etiology database, and determine whether there is high-risk complication information associated with the cause of medical treatment in the historical etiology database, and the historical etiology database includes various disease information and its associated high-risk concurrent disease information ; If there is, a condition label is created according to the high-risk complication information associated with the cause of the visit, and is defined as a second condition label. 3. A post-diagnosis follow-up method according to claim 2, characterized in that: a condition label is created according to the high-risk complication information associated with the cause of the visit, and is defined as a second condition label, further comprising: Obtain the value of the key check items in the high-risk complication information associated with the cause of the visit, and compare the value of the check item in the visit information with the value of the key check item to determine whether there are at least two check item values An abnormality occurs, wherein the value of the key check item in the high-risk complication information associated with the cause of the visit is characterized by the limit theoretical value when the patient suffers from the disease; If the values of at least two check items in the medical treatment information are abnormal, set the second condition label as a dominant label; If the value of less than two check items in the medical consultation information is abnormal, then the second condition label is set as a recessive label. 4. A post-diagnosis follow-up method according to claim 1, characterized in that: the platform terminal connects the patient terminal to the corresponding physician terminal according to the medical consultation information and the condition label and generates according to a preset follow-up template. Corresponding follow-up tasks, including: The platform terminal stores preset follow-up templates corresponding to various diseases, and the follow-up templates include at least patient name, medical visit information, patient contact information, follow-up date, follow-up log, rehabilitation plan, doctor's name, and doctor's contact information; The platform terminal obtains a corresponding follow-up template according to the disease label; The platform automatically preliminarily fills in the information in the follow-up template according to the medical visit information, and generates a corresponding follow-up task, where the follow-up task includes a plurality of follow-up nodes, and the plurality of follow-up nodes all correspond to a follow-up time. 5. A post-diagnosis follow-up method according to claim 4, characterized in that: the physician's end conducts follow-up visits according to the follow-up tasks to obtain follow-up results, comprising: The physician terminal receives the follow-up task, connects with the patient terminal according to the follow-up node of the follow-up task for follow-up, and updates and fills in the follow-up template corresponding to the follow-up node in the follow-up task according to the follow-up process; When the follow-up is completed, the physician side stores the updated follow-up template to the platform side to obtain the follow-up results, and the patient obtains and views the follow-up results through the patient side. 6. A post-diagnosis follow-up method according to claim 1, characterized in that: the physician end comprises a visiting physician end, a docking physician end and a duty physician end, and the platform end connects the patient end according to the visiting information After the corresponding doctor terminal, the patient uses the patient terminal to query the condition, including the following steps: The platform end includes a question-and-answer library, and judges whether the patient's condition query is included in the question-and-answer library; If it is included, the docking physician terminal obtains the reply authority, and obtains the reply language matching the condition query through the consultation question-and-answer database to reply; If it is not included, the docking doctor terminal sends the reply content and reply authority to the visiting doctor terminal for permission approval after replying. After permission approval, the reply content is cleared and the reply permission is moved to the doctor's side; If the answering time of the docking doctor terminal exceeds the preset time, the reply authority is moved to the on-duty doctor's terminal, and the on-duty doctor's terminal judges whether the condition query is included in the consultation question-and-answer database for answering. 7. a kind of follow-up method after diagnosis according to claim 3, is characterized in that, described platform end pushes propaganda and education content in described patient account according to the condition label corresponding to described patient account, specifically comprises the following steps: If the patient account only contains the first disease label, then push the corresponding first-rank propaganda content according to the first disease label; If the patient account includes a first disease label and a second disease label, push the corresponding first-order propaganda content according to the first disease label and push the corresponding second-order propaganda content according to the second disease label , where the push priority of the first-rank missionary content is higher than that of the second-rank missionary content. 8. a kind of post-diagnosis follow-up method according to claim 6 or 7, is characterized in that: also comprises scoring method, comprises the following steps: After the doctor terminal performs an interactive update action based on the operation of the patient terminal, the platform terminal intelligently scores the doctor terminal based on the preset first scoring rule to obtain the first score, and the patient terminal is based on the preset first scoring rule. According to the second scoring rule, the physician side is manually scored to obtain the second score, and the platform side receives the first score and the second score and calculates the final score according to the preset scoring rule, and associates the final score with the physician displayed on the account of the terminal. 9. A post-diagnosis follow-up system, characterized in that it comprises a patient end, a platform end and a physician end, wherein: The patient terminal is used for the patient to register on the patient terminal according to the consultation information to obtain the corresponding patient account, and the patient uses the patient terminal to view the follow-up results; The platform terminal includes a storage module, a follow-up module, and a label module, the platform terminal obtains the patient account and connects the patient terminal to the corresponding doctor terminal according to the medical treatment information, and the storage module stores the patient account number, The labeling module is used to add a condition label to the patient account according to the medical visit information corresponding to the patient account, and the follow-up module is used to generate a corresponding follow-up task according to a preset follow-up template; The doctor terminal is used for the doctor to follow up the patients on the patient terminal according to the follow-up task to obtain follow-up results. 10. A computer storage medium on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the post-diagnosis follow-up method according to any one of claims 1 to 8 is implemented.

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