Graded diagnosis and treatment determination method and device and electronic equipment

Abstract

The invention discloses a hierarchical diagnosis and treatment determination method and device and electronic equipment, and relates to the technical field of data processing, and the main technical scheme comprises the following steps: obtaining disease information of a patient; performing disease grade identification on the disease information to obtain a target disease grade; based on the disease information and the target disease level, searching a medical institution of which the first relevancy is higher than a preset first threshold value in a preset medical resource library to obtain a corresponding target medical institution; generating a two-dimensional code according to the target disease grade and the target medical institution to obtain a target two-dimensional code; and sending the target two-dimensional code to a client, so that the client performs hierarchical diagnosis and treatment according to the target two-dimensional code. Compared with the prior art, when grading diagnosis and treatment are determined, grading diagnosis and treatment do not need to be determined in a medical institution, and the efficiency of grading diagnosis and treatment is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of data processing, and in particular, to a method, an apparatus, and an electronic device for determining hierarchical diagnosis and treatment. Background Art

[0002] Hierarchical diagnosis and treatment classifies diseases according to the severity, urgency, and difficulty of treatment of the diseases. Medical institutions at different levels undertake the treatment of diseases at different levels. According to the classification of the patient's own disease, a medical institution at an appropriate level is selected for treatment.

[0003] In the related art, the selection method of hierarchical diagnosis and treatment is that the patient goes to a medical institution for treatment, and the doctor determines whether to treat the patient in this medical institution or to refer the patient to a higher-level medical institution or a lower-level medical institution according to the patient's condition, resulting in low efficiency of hierarchical diagnosis and treatment. Summary of the Invention

[0004] The present disclosure provides a method, an apparatus, and an electronic device for determining hierarchical diagnosis and treatment. Its main purpose is to solve the problem of low efficiency of hierarchical diagnosis and treatment.

[0005] According to a first aspect of the present disclosure, there is provided a method for determining hierarchical diagnosis and treatment, wherein the method is applied to a server and includes:

[0006] Obtain the disease information of a patient;

[0007] Perform disease level identification on the disease information to obtain a target disease level;

[0008] Based on the disease information and the target disease level, search for medical institutions in a preset medical resource library whose first relevance is higher than a preset first threshold to obtain corresponding target medical institutions; the first relevance is the percentage of the relevance between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance;

[0009] Generate a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code;

[0010] Send the target two-dimensional code to a client so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code.

[0011] According to a second aspect of the present disclosure, there is provided a method for determining hierarchical diagnosis and treatment, wherein the method is applied to a client and includes:

[0012] Send the patient's disease information to the server so that the server can generate a corresponding target QR code according to the disease information. The target QR code includes at least a target disease level and a target medical institution; the target disease level is obtained according to the disease information, and the target medical institution is obtained according to the patient information and the target disease level;

[0013] Receive the target QR code sent by the server;

[0014] Identify the target QR code to obtain the target disease level and the target medical institution.

[0015] According to a third aspect of the present disclosure, there is provided a determination device for hierarchical medical treatment. The device is applied to a server and includes:

[0016] An acquisition unit for acquiring the patient's disease information;

[0017] A first recognition unit for performing disease level recognition on the disease information to obtain a target disease level;

[0018] A first search unit for searching, based on the disease information and the target disease level, for medical institutions in a preset medical resource library with a first relevance higher than a preset first threshold to obtain corresponding target medical institutions; the first relevance is the percentage of the relevance between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance;

[0019] A generation unit for generating a QR code according to the target disease level and the target medical institution to obtain a target QR code;

[0020] A first sending unit for sending the target QR code to the client so that the client can perform hierarchical medical treatment according to the target QR code.

[0021] According to a fourth aspect of the present disclosure, there is provided a determination device for hierarchical medical treatment. The device is applied to a client and includes:

[0022] A second sending unit for sending the patient's disease information to the server so that the server can generate a corresponding target QR code according to the disease information. The target QR code includes at least a target disease level and a target medical institution; the target disease level is obtained according to the disease information, and the target medical institution is obtained according to the patient information and the target disease level;

[0023] A receiving unit for receiving the target QR code sent by the server;

[0024] A second recognition unit for performing recognition on the target QR code to obtain the target disease level and the target medical institution.

[0025] According to a fifth aspect of the present disclosure, there is provided a system for determining hierarchical diagnosis and treatment, the system including: a server and a client, wherein,

[0026] The server includes a device for determining hierarchical diagnosis and treatment as described in the foregoing third aspect;

[0027] The client includes a device for determining hierarchical diagnosis and treatment as described in the foregoing fourth aspect.

[0028] According to a sixth aspect of the present disclosure, there is provided an electronic device, including:

[0029] At least one processor; and

[0030] A memory communicatively connected to the at least one processor; wherein,

[0031] The memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to execute the method described in the foregoing first aspect or second aspect.

[0032] According to a fourth aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute the method described in the foregoing first aspect or second aspect.

[0033] According to a fifth aspect of the present disclosure, there is provided a computer program product including a computer program, and when the computer program is executed by a processor, the method described in the foregoing first aspect or second aspect is implemented.

[0034] The method, device, and electronic device for determining hierarchical medical treatment provided by the present disclosure obtain the disease information of a patient; perform disease level recognition on the disease information to obtain a target disease level; based on the disease information and the target disease level, search for medical institutions in a preset medical resource library whose first relevance is higher than a preset first threshold to obtain corresponding target medical institutions; the first relevance is the percentage of the correlation between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance; generate a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code; send the target two-dimensional code to a client so that the client can perform hierarchical medical treatment according to the target two-dimensional code. Compared with the related art, in the embodiments of the present disclosure, by obtaining the disease information of a patient, performing disease level recognition on the disease information to obtain a target disease level, based on the disease information and the target disease level, searching for medical institutions in a preset medical resource library whose first relevance is higher than a preset first threshold to obtain corresponding target medical institutions, generating a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code, and sending the target two-dimensional code to a client so that the client can perform hierarchical medical treatment according to the target two-dimensional code, when determining hierarchical medical treatment, it is not necessary to determine hierarchical medical treatment in a medical institution, thereby improving the efficiency of hierarchical medical treatment.

[0035] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings are used to better understand the solution and do not constitute a limitation to the present disclosure. Among them:

[0037] Figure 1 is a flowchart of a method for determining hierarchical medical treatment provided by an embodiment of the present disclosure;

[0038] Figure 2 is a flowchart of a method for searching for a target medical institution provided by an embodiment of the present disclosure;

[0039] Figure 3 is a flowchart of a method for searching for target doctor information provided by an embodiment of the present disclosure;

[0040] Figure 4 is a flowchart of a method for judging the re-selection of a medical institution provided by an embodiment of the present disclosure;

[0041] Figure 5 is a flowchart of another method for determining hierarchical medical treatment provided by an embodiment of the present disclosure;

[0042] Figure 6 The structural schematic diagram of a determination device for hierarchical diagnosis and treatment provided by an embodiment of the present disclosure;

[0043] Figure 7 The structural schematic diagram of another determination device for hierarchical diagnosis and treatment provided by an embodiment of the present disclosure;

[0044] Figure 8 The structural schematic diagram of another determination device for hierarchical diagnosis and treatment provided by an embodiment of the present disclosure;

[0045] Figure 9 The schematic block diagram of an exemplary electronic device provided by an embodiment of the present disclosure. Detailed implementation manners

[0046] The following describes exemplary embodiments of the present disclosure with reference to the accompanying drawings. Various details of the embodiments of the present disclosure are included to facilitate understanding, and they should be considered merely exemplary. Therefore, those of ordinary skill in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted below.

[0047] The following describes the method, device, and electronic device for determining hierarchical diagnosis and treatment according to embodiments of the present disclosure with reference to the drawings.

[0048] Figure 1 The flowchart of a method for determining hierarchical diagnosis and treatment provided by an embodiment of the present disclosure.

[0049] As Figure 1 shown, the method is applied to a server, and the method includes the following steps:

[0050] Step 101, obtaining the disease information of the patient.

[0051] Hierarchical diagnosis and treatment is to classify according to the severity, urgency, and treatment difficulty of diseases. Medical institutions at different levels are responsible for treating different diseases. Establishing hierarchical diagnosis and treatment is an important measure to rationally allocate medical resources and promote the equalization of basic medical and health services.

[0052] The principles of hierarchical diagnosis and treatment are as follows:

[0053] (1) The principle of patient voluntariness: Starting from safeguarding the interests of patients, fully respecting the right of choice of patients, and effectively acting as a "consultant" for patients;

[0054] (2) The principle of hierarchical diagnosis and treatment: Minor diseases and common diseases are treated in communities, and critical and severe diseases are treated in superior hospitals;

[0055] (3) Principle of referral to nearby medical institutions: Refer patients to nearby medical institutions based on their conditions and the accessibility of medical services, ensuring convenience and speed.

[0056] (4) Principle of pertinence and effectiveness: Selectively refer patients to medical institutions with obvious specialties and disease characteristics according to their conditions to improve the effectiveness of patient diagnosis and treatment.

[0057] (5) Principle of resource sharing: Ensure the universality of examination results, avoid unnecessary repeated examinations, and reduce patients' expenses.

[0058] (6) Principle of seamless management: Establish effective, strict, practical, and unobstructed up-and-down referral channels to provide patients with holistic and continuous medical care.

[0059] The determination method of hierarchical diagnosis and treatment is to determine the medical institutions suitable for treating patients based on their disease information. Therefore, it is necessary to obtain the patients' disease information. The server can identify the disease level of the disease information by obtaining the disease information sent by the client, which is beneficial to improving the accuracy of hierarchical diagnosis and treatment. Among them, the disease information includes, but is not limited to, disease name, medical history (including main symptoms, onset time, symptom duration, treatment history, etc.), physical signs, examination results (including blood tests, imaging examinations, etc.), age, gender, occupation, family medical history, native place, and place of residence. The disease information can be filled in by the patient using the client or selected through options in the client. However, it should be clear that this statement is not intended to limit that the disease information can only be obtained by the patient filling it in using the client or selecting it through options in the client, and it can also be obtained by other methods.

[0060] Step 102: Identify the disease level of the disease information to obtain the target disease level.

[0061] Classify diseases according to the severity, urgency, and treatment difficulty of the diseases. Diseases can be divided into general diseases, sub-key diseases, and key diseases. Among them, general diseases refer to diseases that are relatively common clinically and have relatively mild conditions. These diseases usually have relatively low treatment difficulty and risk. For example, colds, mild diarrhea, dermatitis, small-area burns, etc.; sub-key diseases refer to a category of diseases between general diseases and key diseases. The conditions of these diseases are relatively more complex, and the treatment difficulty and risk are also higher. For example, diabetes, hypertension, rheumatoid arthritis, etc.; key diseases refer to diseases with relatively severe conditions, high treatment difficulty, and high risk clinically, such as tumors, heart diseases, and severe diabetic complications.

[0062] Diseases of different levels require different medical institutions for treatment. By identifying the disease level of the disease information according to the severity, urgency, and treatment difficulty of the disease, the target disease level can be obtained, which is more conducive to finding a medical institution suitable for the treatment of the disease.

[0063] For the sake of easy understanding, an example is provided for illustration. If the disease information is hypertension, and it is identified according to the severity, urgency, and treatment difficulty of the disease. Since the condition of hypertension is relatively complex, the treatment difficulty and risk are relatively high, but the clinical condition is not very serious, the target disease level corresponding to hypertension is a sub-key disease.

[0064] Step 103: Based on the disease information and the target disease level, search for medical institutions in the preset medical resource library whose first relevance is higher than the preset first threshold to obtain the corresponding target medical institutions; the first relevance is the percentage of the relevance between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance.

[0065] Corresponding to the disease level, medical institutions also have medical institution levels. Medical institutions can be classified into primary medical institutions, secondary medical institutions, and tertiary medical institutions by grading them according to aspects such as their medical technology level, service scope, capabilities, number of beds, scale, staffing, management, medical quality, and safety. Among them, primary medical institutions mainly treat general diseases, that is, general outpatient and inpatient cases with simple disease types and relatively stable conditions, as well as cases suitable for their technical level and facilities and equipment conditions. Generally, they are patients who need continuous rehabilitation treatment, patients with clear diagnoses and no special treatment requirements; patients in the late stage of various malignant tumors who do not undergo surgery and hospice care; chronic patients who need long-term treatment and management; elderly care patients; (general common and frequently-occurring disease patients; rehabilitating patients transferred from higher-level hospitals; The primary medical institutions include, but are not limited to, urban community hospitals and rural township health centers.

[0066] The secondary medical institutions mainly treat sub-key diseases, including general emergencies that need to be urgently handled but have simple disease types, as well as acute and chronic patients with complex conditions or complex complications, serious conditions, cases with great difficulty in diagnosis and treatment and poor prognosis, and some type D cases suitable for their technical level and facilities and equipment conditions. Generally, they are: critical and severe cases in all clinical departments that are difficult for primary hospitals to effectively treat; relatively difficult and complex cases that cannot be diagnosed by primary medical institutions and first-level hospitals; patients injured in major casualty incidents; various critical and severe patients in clinical practice; patients transferred up due to technical or equipment limitations of secondary medical institutions; difficult and complex cases that cannot be diagnosed by secondary hospitals; cases occurring in major public health emergencies; The secondary medical institutions include, but are not limited to, district and county secondary hospitals and third-class level B hospitals at the city level.

[0067] The tertiary medical institutions mainly receive patients with key diseases and various critical cases in clinical practice; upward referral cases that county- and city-level medical institutions cannot handle due to technical or equipment limitations; difficult and complex cases that cannot be diagnosed by city-level hospitals; the tertiary medical institutions include, but are not limited to, tertiary class-A hospitals outside the province or city.

[0068] The higher the level of a medical institution, the higher its medical technology level, the larger the number of patients it treats, and the greater its load. Diseases with lower disease levels may also be treated in medical institutions with higher levels, increasing the load on the medical institutions. To enable diseases to be treated in medical institutions corresponding to their levels, it is necessary to search for medical institutions with corresponding levels in a preset medical resource library based on the target disease level, and calculate the correlation between the disease information and the medical institutions with the corresponding level to obtain the first correlation corresponding to the medical institution, search for medical institutions with the first correlation higher than a preset first threshold to obtain the corresponding target medical institutions; the first correlation is the percentage of the correlation between the disease information and the medical institution, the preset first threshold is the threshold corresponding to the first correlation, the embodiments of the present disclosure do not limit the preset first threshold, the preset medical resource library includes, but is not limited to, primary medical institutions, secondary medical institutions, and tertiary medical institutions, and the embodiments of the present disclosure do not limit the number of medical institutions in the preset medical resource library.

[0069] For ease of understanding, an example is provided for illustration. If the disease information is diabetes, the target disease level is a sub-key disease, and the preset first threshold is 80%, since the sub-key disease corresponds to secondary medical institutions, therefore, medical institutions A, B, C, and D are found in the preset medical resource library, and the percentages of the correlation between diabetes and medical institutions A, B, C, and D are calculated respectively, obtaining that the correlation between medical institution A and diabetes is 90%, the correlation between medical institution B and diabetes is 85%, the correlation between medical institution C and diabetes is 75%, and the correlation between medical institution D and diabetes is 70%. Search for medical institutions with the first correlation higher than 80%, so the target medical institutions are medical institution A and medical institution B.

[0070] Step 104, generate a two-dimensional code based on the target disease level and the target medical institution to obtain a target two-dimensional code.

[0071] To facilitate patients or medical staff in a medical institution to quickly and accurately obtain the target disease level of a patient and the target medical institution, it is necessary to generate a two-dimensional code based on the target disease level and the target medical institution to obtain a target two-dimensional code. The target two-dimensional code can be quickly read by a smart phone or a dedicated scanning device. This means that patients or medical staff can quickly obtain the required information. Manually entering the target disease level and the disease information in a medical institution may lead to errors, while scanning the target two-dimensional code greatly reduces such risks because the two-dimensional code is directly generated by the system, reducing human intervention. Patients only need to hold the two-dimensional code and can easily display the required medical information to other medical institutions during the referral process without having to carry a large number of paper documents. The embodiments of the present disclosure do not limit the method for generating the target two-dimensional code.

[0072] Step 105: Send the target two-dimensional code to the client so that the client can perform hierarchical diagnosis and treatment based on the target two-dimensional code.

[0073] Sending the target two-dimensional code to the client allows patients to scan the target two-dimensional code through the client to obtain the target disease level and the target medical institution. At the same time, the disease information can also be put into the target two-dimensional code. When the patient goes to the target medical institution for treatment, by presenting the target two-dimensional code, the staff of the target medical institution can quickly obtain the patient's disease information, the target disease level, and the target medical institution by scanning the target two-dimensional code, improving the efficiency of hierarchical diagnosis and treatment. The client can be a device such as a mobile phone that can scan and recognize two-dimensional codes.

[0074] The method for determining hierarchical diagnosis and treatment provided by the present disclosure includes: obtaining the disease information of a patient; performing disease level identification on the disease information to obtain a target disease level; based on the disease information and the target disease level, searching in a preset medical resource library for medical institutions with a first relevance higher than a preset first threshold to obtain corresponding target medical institutions; the first relevance being the percentage of the relevance between the disease information and the medical institution, and the preset first threshold being the threshold corresponding to the first relevance; generating a two-dimensional code based on the target disease level and the target medical institution to obtain a target two-dimensional code; and sending the target two-dimensional code to a client so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code. Compared with the related art, in the embodiments of the present disclosure, by obtaining the disease information of the patient, performing disease level identification on the disease information to obtain a target disease level, based on the disease information and the target disease level, searching in a preset medical resource library for medical institutions with a first relevance higher than a preset first threshold to obtain corresponding target medical institutions, generating a two-dimensional code based on the target disease level and the target medical institution to obtain a target two-dimensional code, and sending the target two-dimensional code to the client so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code, when determining hierarchical diagnosis and treatment, it is not necessary to determine hierarchical diagnosis and treatment in a medical institution, which improves the efficiency of hierarchical diagnosis and treatment.

[0075] As a refinement of step 103, when performing the step of searching in a preset medical resource library for medical institutions with a first relevance higher than a preset first threshold based on the disease information and the target disease level to obtain corresponding target medical institutions, it can be implemented in, but not limited to, the following ways, such as Figure 2 shown Figure 2 is a flowchart of a method for searching for a target medical institution provided by an embodiment of the present disclosure, including:

[0076] Step 201: Search for the medical institution level corresponding to the target disease level to obtain a target medical institution level; the disease levels include general diseases, sub-key diseases, and key diseases, the medical institution levels include first-level medical institutions, second-level medical institutions, and third-level medical institutions, the first-level medical institutions receive general diseases, the second-level medical institutions receive sub-key diseases, and the third-level medical institutions receive key diseases.

[0077] Hierarchical diagnosis and treatment enables the first-level medical institutions to receive general diseases, the second-level medical institutions to receive sub-key diseases, and the third-level medical institutions to receive key diseases, which is conducive to the reasonable allocation of medical resources. By searching for the medical institution level corresponding to the target disease level to obtain a target medical institution level, for example, if the target disease level is a sub-key disease, since the second-level medical institution level receives sub-key diseases, the target medical institution level corresponding to the target disease level is a second-level medical institution.

[0078] Step 202: Search for medical institutions corresponding to the target medical institution level in the preset medical resource library to obtain at least one medical institution.

[0079] In order to achieve that primary medical institutions receive patients with general diseases, secondary medical institutions receive patients with sub-major diseases, and tertiary medical institutions receive patients with major diseases, it is necessary to search for medical institutions corresponding to the target medical institution level in the preset medical resource library to obtain at least one medical institution. Among them, all of the at least one medical institutions are medical institutions corresponding to the target medical institution level. For example, if the target medical institution level is a tertiary medical institution, then all of the at least one medical institutions are tertiary medical institutions, making the allocation of medical resources more reasonable, ensuring that patients with severe and complex diseases can receive high-quality medical services from higher-level hospitals, and at the same time enabling patients with minor diseases or common diseases to be treated promptly in lower-level medical institutions, thereby reducing the treatment pressure on high-level medical institutions.

[0080] Step 203: Calculate the correlation between the disease information and each of the at least one medical institutions respectively to obtain a first correlation corresponding to each of the at least one medical institutions.

[0081] Medical institutions of the same level may be good at treating different types of diseases. In order to enable patients to receive better treatment, it is necessary to find medical institutions with a higher correlation with the disease information among many medical institutions of the same level. Calculate the correlation between the disease information and each of the at least one medical institutions respectively to obtain a first correlation corresponding to each of the at least one medical institutions. Among them, the first correlation is the percentage of the correlation between the disease information and the medical institution. The higher the first correlation, the higher the correlation between the disease information and the medical institution, and the more suitable it is for the disease to be treated in this medical institution.

[0082] Step 204: Search for medical institutions among the at least one medical institutions whose first correlation is higher than a preset first threshold to obtain the target medical institution.

[0083] To enable patients to receive better treatment, it is necessary to find the first medical institution with a relatively high relevance as the target medical institution for the patient. By searching for medical institutions with a first relevance higher than a preset first threshold among the at least one medical institution, the target medical institution is obtained, so as to recommend a medical institution suitable for treating the patient's disease to the patient, thereby enabling the patient to obtain more accurate treatment and care. Among them, the preset first threshold is the threshold corresponding to the first relevance, and the preset first threshold is a threshold set in advance, which can be fixed or dynamically changed. The embodiments of the present disclosure do not limit this. If the first relevance is higher than the preset first threshold, the medical institution corresponding to the first relevance is suitable for treating the patient's disease; if the first relevance is lower than the preset first threshold, the medical institution corresponding to the first relevance is not suitable for treating the patient's disease.

[0084] In practical applications, after finding a medical institution with a relevance higher than a preset first threshold in a preset medical resource information database based on the disease information and the target disease level to obtain the corresponding target medical institution, it is also necessary to find doctor information suitable for treating the disease. This can be achieved by, but not limited to, the following methods, such as Figure 3 shown Figure 3 is a schematic flowchart of a method for finding target doctor information provided by an embodiment of the present disclosure, including:

[0085] Step 301, obtain at least one doctor information corresponding to the target medical institution.

[0086] A medical institution may have doctors who treat different types of diseases. To find a suitable doctor for the patient, it is necessary to obtain at least one doctor information corresponding to the target medical institution to prepare for the next step of calculating the relevance between the disease information and the at least one doctor information. Among them, the doctor information includes, but is not limited to, the doctor's name, gender, age, photo, professional title and professional qualification (such as attending physician, deputy chief physician, chief physician, etc., and the corresponding professional and technical title certificates), the department or professional field where the doctor is located (such as internal medicine, surgery, obstetrics and gynecology, pediatrics, etc.), educational background and training background (the doctor's highest education level, graduation school, further education experience, professional training situation), and clinical experience (the number of years the doctor has been practicing medicine, important surgeries or treatment cases participated in, and professional fields of expertise).

[0087] Step 302, calculate the relevance between the disease information and the at least one doctor information respectively to obtain a second relevance corresponding to the at least one doctor information; the second relevance is the percentage of the relevance between the disease information and the doctor information.

[0088] Different doctors in the same medical institution may be good at treating different types of diseases. In order to provide better treatment for patients, it is necessary to find doctor information with a relatively high degree of relevance to the disease information among many doctors. Calculate the degree of relevance between the disease information and each of the at least one doctor information to obtain a second degree of relevance corresponding to each of the at least one doctor information. The second degree of relevance is the percentage of the relevance between the disease information and the doctor information. The higher the second degree of relevance, the higher the relevance between the disease information and the doctor information, and the more suitable the disease is for treatment by this doctor.

[0089] Step 303: Search for doctor information with a second degree of relevance higher than a preset second threshold among the at least one doctor information to obtain the target doctor information. The preset second threshold is the threshold corresponding to the second degree of relevance.

[0090] In order to provide better treatment for patients, it is necessary to find doctor information with a relatively high second degree of relevance as the target doctor information for the patient. By searching for doctor information with a second degree of relevance higher than a preset second threshold among the at least one doctor information, the target doctor information is obtained, so as to recommend a doctor suitable for treating the patient's disease to the patient, thereby enabling the patient to receive more accurate treatment and care. Among them, the preset second threshold is the threshold corresponding to the second degree of relevance. The preset second threshold is a threshold set in advance, which can be fixed or dynamically variable. The embodiments of the present disclosure do not limit it. If the second degree of relevance is higher than the preset second threshold, the doctor corresponding to the second degree of relevance is suitable for treating the patient's disease. If the second degree of relevance is lower than the preset second threshold, the doctor corresponding to the second degree of relevance is not suitable for treating the patient's disease.

[0091] Step 304: Generating a two-dimensional code based on the target disease level and the target medical institution to obtain the target two-dimensional code includes:

[0092] Generate a two-dimensional code based on the target disease level, the target medical institution, and the target doctor information to obtain the target two-dimensional code.

[0093] In order to facilitate patients or medical staff in the medical institution to quickly and accurately obtain the patient's target disease level, target medical institution, and the target doctor information, it is necessary to generate a two-dimensional code based on the target disease level, the target medical institution, and the target doctor information to obtain the target two-dimensional code. The embodiments of the present disclosure do not limit the method for generating the target two-dimensional code.

[0094] In practical applications, after finding the doctor information with a second relevance higher than a preset second threshold in the at least one doctor information to obtain the target doctor information, it is also necessary to send the remaining registration information corresponding to the target doctor to the patient's client, so that the patient can make an appointment for registration according to the remaining registration information. This can be achieved in, but is not limited to, the following ways: obtaining the remaining registration information corresponding to the target doctor information, and generating a two-dimensional code based on the target disease level, the target medical institution, and the target doctor information to obtain a target two-dimensional code, including: generating a two-dimensional code based on the target disease level, the target medical institution, the target doctor information, and the remaining registration information to obtain a target two-dimensional code; wherein, the remaining registration information includes, but is not limited to, doctor name, available date and time, appointment location, professional field or service type, remaining quota, appointment fee, and appointment method.

[0095] As an implementation manner of the above embodiment, when obtaining the remaining registration information corresponding to the target doctor information, only the registration information with the earliest time in the remaining registration information can be sent to the client.

[0096] In practical applications, after finding a medical institution with a first relevance higher than a preset first threshold in a preset medical resource information database based on the disease information and the target disease level, the number of patients visiting the target medical institution may be too large, and it is necessary to reselect a medical institution. This can be achieved in, but is not limited to, the following ways, such as Figure 4 shown Figure 4 is a flowchart of a method for judging the re-selection of a medical institution provided by an embodiment of the present disclosure, including:

[0097] Step 401, obtain the target number of patients visiting the target medical institution.

[0098] To facilitate judging whether the number of patients visiting the target medical institution is too large, it is necessary to obtain the target number of patients visiting the target medical institution.

[0099] Step 402, if the target number of patients exceeds a preset threshold for the number of patients visiting a medical institution, then re-search for a medical institution in the at least one medical institution in the order of the distance between the medical institution and the patient from near to far to obtain a new target medical institution.

[0100] To reasonably allocate and use medical resources, avoid some medical institutions operating at high load and some medical institutions operating at low load, resulting in unreasonable use of medical resources. If the target number of patients exceeds a preset threshold for the number of patients visiting a medical institution, then re-search for a medical institution in the at least one medical institution in the order of the distance between the medical institution and the patient from near to far to obtain a new target medical institution, and perform balanced scheduling of medical resources to ensure that patients can receive timely diagnosis and treatment.

[0101] Step 403: According to the new target medical institution, re-search for the target doctor information and re-search for the remaining registration information corresponding to the target doctor information, so as to obtain new target doctor information and new remaining registration information.

[0102] After obtaining the new target medical institution, it is necessary to re-search for the target doctor information and re-search for the remaining registration information corresponding to the target doctor information, so as to obtain new target doctor information and new remaining registration information, so that patients can seek medical treatment smoothly.

[0103] Step 404: The generation of the target two-dimensional code according to the target disease level, the target medical institution, the target doctor information and the remaining registration information to obtain the target two-dimensional code includes:

[0104] Generate a two-dimensional code according to the target disease level, the new target medical institution, the new target doctor information and the new remaining registration information to obtain the target two-dimensional code.

[0105] In order to facilitate patients or medical institution staff to quickly and accurately obtain the patient's target disease level, the new target medical institution, the new target doctor information and the new remaining registration information, it is necessary to generate a two-dimensional code according to the target disease level, the new target medical institution, the new target doctor information and the new remaining registration information to obtain the target two-dimensional code. The embodiments of the present disclosure do not limit the generation method of the target two-dimensional code.

[0106] In practical applications, before sending the target two-dimensional code to the client, in order to make it more convenient for patients during the process of seeking medical treatment in a medical institution, when generating the target two-dimensional code, it is necessary to add the payment system information and case system information corresponding to the target medical institution to the target two-dimensional code, so that patients can directly scan the target two-dimensional code to complete various operations during the process of seeking medical treatment. For example, paying medical expenses and viewing treatment results, etc. By obtaining the payment system information and case system information corresponding to the target medical institution; generating a two-dimensional code according to the target disease level, the target medical institution, the target doctor information and the remaining registration information to obtain the target two-dimensional code includes: generating a two-dimensional code according to the target disease level, the target medical institution, the target doctor information, the remaining registration information, the payment system information and the case system information to obtain the target two-dimensional code, where the payment system information includes but is not limited to payment methods, payment processes, settlement items, invoice issuance, refund policies, medical insurance settlements, and the medical record system information includes but is not limited to medical record records, access rights, data management, and patient privacy.

[0107] In summary, the embodiments of the present disclosure can achieve the following effects:

[0108] 1. In the embodiments of the present disclosure, by obtaining the disease information of a patient, identifying the disease level of the disease information to obtain a target disease level, based on the disease information and the target disease level, searching for medical institutions with a first relevance higher than a preset first threshold in a preset medical resource library to obtain corresponding target medical institutions, generating a two-dimensional code according to the target disease level and the target medical institutions to obtain a target two-dimensional code, and sending the target two-dimensional code to a client, so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code. When determining hierarchical diagnosis and treatment, it is not necessary to determine hierarchical diagnosis and treatment in a medical institution, which improves the efficiency of hierarchical diagnosis and treatment.

[0109] 2. In the embodiments of the present disclosure, by simplifying the processes of medical institution reservation, seeing a doctor, and payment, publicizing the conditions of primary medical institutions and the professional levels of medical staff, and attracting patients to actively seek medical treatment at primary medical institutions by means such as appropriately reducing drug prices and giving away some medical services.

[0110] 3. In the embodiments of the present disclosure, by changing the concept of patients seeking medical treatment. The Medical Service Assistant analyzes the medical treatment experiences of patients, explains that the methods, processes, and locations of seeing a doctor are incorrect, and suggests seeking medical treatment appropriately.

[0111] 4. In the embodiments of the present disclosure, by publicizing hierarchical diagnosis and treatment. Publicize the hierarchical diagnosis and treatment system of "primary care first, two-way referral, separate treatment of acute and chronic diseases, and up-down linkage" in an appropriate area of the main interface of the system, and form a medical treatment pattern of "minor diseases at the grassroots level, major diseases in the hospital, and rehabilitation back to the community".

[0112] Figure 5 is a schematic flowchart of another method for determining hierarchical diagnosis and treatment provided by the embodiments of the present disclosure. This method is used for a client. As Figure 5 shown, it includes:

[0113] Step 501, sending the disease information of the patient to the server, so that the server generates a corresponding target two-dimensional code according to the disease information. The target two-dimensional code at least includes a target disease level and a target medical institution; the target disease level is obtained according to the disease information, and the target medical institution is obtained according to the patient information and the target disease level.

[0114] For the implementation of hierarchical diagnosis and treatment, the server needs to obtain the disease information of the patient. The patient inputs the disease information through the client, and the client sends the disease information of the patient to the server so that the server can generate a corresponding target QR code according to the disease information. The target QR code contains at least the target disease level and the target medical institution; the target disease level is obtained according to the disease information, and the target medical institution is obtained according to the patient information and the target disease level. The disease information can be obtained by the patient filling it in through the client or by selecting options in the client. However, it should be clear that this statement is not intended to limit that the disease information can only be obtained by the patient filling it in through the client or by selecting options in the client, and it can also be obtained by other methods. The client can be a mobile phone or a tablet computer, and the present disclosure embodiment does not limit the main body of the client.

[0115] Step 502, receive the target QR code sent by the server.

[0116] The client receives the target QR code sent by the server to prepare for subsequent scanning and using the target QR code.

[0117] Step 503, identify the target QR code to obtain the target disease level and the target medical institution.

[0118] The client identifies the target QR code to obtain the target disease level and the target medical institution. The patient can perform hierarchical diagnosis and treatment according to the target disease level and the target medical institution, realizing the determination of the target medical institution without going to the medical institution, and improving the efficiency of hierarchical diagnosis and treatment.

[0119] The method for determining hierarchical diagnosis and treatment provided by the present disclosure includes: obtaining the disease information of a patient; identifying the disease level of the disease information to obtain the target disease level; based on the disease information and the target disease level, searching for medical institutions with a first relevance higher than a preset first threshold in a preset medical resource library to obtain corresponding target medical institutions; the first relevance is the percentage of the relevance between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance; generating a two-dimensional code according to the target disease level and the target medical institution to obtain the target two-dimensional code; sending the target two-dimensional code to the client so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code. Compared with the related art, in the embodiment of the present disclosure, by obtaining the disease information of the patient, identifying the disease level of the disease information to obtain the target disease level, based on the disease information and the target disease level, searching for medical institutions with a first relevance higher than a preset first threshold in a preset medical resource library to obtain corresponding target medical institutions, generating a two-dimensional code according to the target disease level and the target medical institution to obtain the target two-dimensional code, and sending the target two-dimensional code to the client so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code, when determining the hierarchical diagnosis and treatment, it is not necessary to determine the hierarchical diagnosis and treatment in the medical institution, which improves the efficiency of hierarchical diagnosis and treatment.

[0120] As a refinement of the above embodiment, the target two-dimensional code further includes: target doctor information corresponding to the target medical institution, remaining registration information corresponding to the target doctor information, payment system information corresponding to the target medical institution, and case system information corresponding to the medical institution;

[0121] Among them, the target doctor information is obtained according to the target medical institution, the remaining registration information is obtained according to the target doctor information, and the payment system information and the case system information are obtained according to the target medical institution.

[0122] As a refinement of the above embodiments, the client also has the following functions: appointment registration, which supports interactive intelligent triage using big data analysis and the method of patients filling in medical records to help patients complete preliminary triage and determine the registration department; real-time registration, which enables real-time payment through the balance of the medical treatment card, real-time acquisition of outpatient appointment sources, real-time locking of appointment sources, real-time balance payment or quick payment by bank card; intelligent waiting, which enables real-time understanding of the current queuing status, reduces patients' anxiety, and reminds patients of their appointments according to rules, reducing repeated inquiries; medical treatment card recharge, which allows the inquirer to query the balance in real time and supports recharge by mainstream bank cards and debit cards; inspection reports and prescriptions, which notify the inquirer immediately after the report is generated; evaluation of treatment efficacy and attitude after diagnosis; implementation of the medical consortium; binding of the real-name authentication account system and the medical treatment card; registration of accounts for one person in a family unit; medical knowledge base, which establishes a simple and easy-to-understand medical knowledge base related to patients, popularizes scientific medical knowledge to patients, can associate with the patient's family tree, and further expands relevant preventive medical information content to form the patient's family pedigree map, and can be synchronously pushed to the patient's family members for family pedigree connection and transmission.

[0123] Thus, through the hierarchical diagnosis and treatment method of the embodiments of the present disclosure, before a patient sees a doctor, the patient can be automatically triaged according to the patient's condition information, the medical resources can be reasonably allocated, the diagnosis and treatment efficiency of the patient can be improved, and the burden on medical institutions can be reduced.

[0124] By grading through two-dimensional codes, a medical treatment pattern of "health enters the family, minor illnesses are treated in primary medical institutions, major illnesses go to tertiary medical institutions, and rehabilitation returns to primary medical institutions" is formed, which helps hospitals to implement diversion, also solves the problem of patients running to tertiary medical institutions for both minor and major illnesses, and alleviates the tension of medical resources.

[0125] Corresponding to the above method for determining hierarchical diagnosis and treatment, the present invention also proposes a device for determining hierarchical diagnosis and treatment. Since the device embodiments of the present invention correspond to the above method embodiments, for the details not disclosed in the device embodiments, reference may be made to the above method embodiments, and no further elaboration will be made in the present invention.

[0126] Figure 6 Shown in the following is a structural schematic diagram of a device for determining hierarchical diagnosis and treatment provided by an embodiment of the present disclosure. Figure 6 As shown, the device is applied to a server and includes:

[0127] An acquisition unit 61, configured to acquire the disease information of a patient;

[0128] A first recognition unit 62, configured to perform disease level recognition on the disease information to obtain a target disease level;

[0129] The first search unit 63 is configured to search for medical institutions with a first relevance higher than a preset first threshold in a preset medical resource library based on the disease information and the target disease level, so as to obtain corresponding target medical institutions; the first relevance is the percentage of the relevance between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance;

[0130] The generation unit 64 is configured to generate a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code;

[0131] The first sending unit 65 is configured to send the target two-dimensional code to the client, so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code.

[0132] The hierarchical diagnosis and treatment determination device provided by the present disclosure obtains the disease information of a patient; performs disease level recognition on the disease information to obtain a target disease level; searches for medical institutions with a first relevance higher than a preset first threshold in a preset medical resource library based on the disease information and the target disease level to obtain corresponding target medical institutions; the first relevance is the percentage of the relevance between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance; generates a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code; sends the target two-dimensional code to the client, so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code. Compared with the related art, in the embodiment of the present disclosure, by obtaining the disease information of the patient, performing disease level recognition on the disease information to obtain a target disease level, searching for medical institutions with a first relevance higher than a preset first threshold in a preset medical resource library based on the disease information and the target disease level to obtain corresponding target medical institutions, generating a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code, and sending the target two-dimensional code to the client, so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code, when determining the hierarchical diagnosis and treatment, there is no need to determine the hierarchical diagnosis and treatment in the medical institution, which improves the efficiency of the hierarchical diagnosis and treatment.

[0133] Further, in a possible implementation manner of this embodiment, as Figure 7 shown, the first search unit 63 includes:

[0134] The first search module 631 is configured to search for the medical institution level corresponding to the target disease level to obtain a target medical institution level; the disease levels include general diseases, sub-key diseases, and key diseases, the medical institution levels include first-level medical institutions, second-level medical institutions, and third-level medical institutions, the first-level medical institutions receive the general diseases, the second-level medical institutions receive the sub-key diseases, and the third-level medical institutions receive the key diseases;

[0135] A second search module 632, configured to search for medical institutions corresponding to the target medical institution level in the preset medical resource library, and obtain at least one medical institution;

[0136] A first calculation module 633, configured to calculate the relevance between the disease information and the at least one medical institution respectively, and obtain a first relevance corresponding to the at least one medical institution;

[0137] A third search module 634, configured to search for medical institutions in the at least one medical institution whose first relevance is higher than a preset first threshold, and obtain the target medical institution.

[0138] Further, in a possible implementation manner of this embodiment, as Figure 7 shown, the apparatus further includes:

[0139] The obtaining unit 61 is further configured to obtain at least one doctor information corresponding to the target medical institution;

[0140] A calculation unit 66, configured to calculate the relevance between the disease information and the at least one doctor information respectively, and obtain a second relevance corresponding to the at least one doctor information; the second relevance is the percentage of the relevance between the disease information and the doctor information;

[0141] The first search unit 63 is further configured to search for doctor information in the at least one doctor information whose second relevance is higher than a preset second threshold, and obtain the target doctor information; the preset second threshold is the threshold corresponding to the second relevance;

[0142] The generating unit 64 is further configured to,

[0143] generate a two-dimensional code according to the target disease level, the target medical institution, and the target doctor information, and obtain a target two-dimensional code.

[0144] Further, in a possible implementation manner of this embodiment, as Figure 7 shown, the apparatus further includes:

[0145] The obtaining unit 61 is further configured to obtain remaining registration information corresponding to the target doctor information;

[0146] The generating unit 64 is further configured to,

[0147] generate a two-dimensional code according to the target disease level, the target medical institution, the target doctor information, and the remaining registration information, and obtain a target two-dimensional code.

[0148] Further, in a possible implementation manner of this embodiment, asFigure 7 As shown in FIG. 5, further, in a possible implementation manner of this embodiment, as Figure 7 shown, the device further includes:

[0149] The obtaining unit 61 is further configured to obtain the target number of patients corresponding to the target medical institution;

[0150] The first searching unit 63 is further configured to, when the target number of patients exceeds a preset threshold of the number of patients, re-search for medical institutions in the at least one medical institution in the order of the distance between the medical institution and the patient from near to far, so as to obtain a new target medical institution;

[0151] The second searching unit 67 is configured to re-search for the target doctor information and re-search for the remaining registration information corresponding to the target doctor information according to the new target medical institution, so as to obtain new target doctor information and new remaining registration information;

[0152] The generating unit 64 is further configured to

[0153] generate a two-dimensional code according to the target disease level, the new target medical institution, the new target doctor information, and the new remaining registration information, so as to obtain a target two-dimensional code.

[0154] Further, in a possible implementation manner of this embodiment, as Figure 7 shown, the device further includes:

[0155] The obtaining unit 61 is further configured to obtain the payment system information and case system information corresponding to the target medical institution;

[0156] The generating unit 64 is further configured to

[0157] generate a two-dimensional code according to the target disease level, the target medical institution, the target doctor information, the remaining registration information, the payment system information, and the case system information, so as to obtain a target two-dimensional code.

[0158] Figure 8 FIG. is a schematic structural diagram of another hierarchical diagnosis and treatment determination device provided by an embodiment of the present disclosure. As Figure 8 shown, the device is applied to a client and includes:

[0159] The second sending unit 71 is configured to send the disease information of the patient to the server, so that the server generates a corresponding target two-dimensional code according to the disease information. The target two-dimensional code at least includes a target disease level and a target medical institution; the target disease level is obtained according to the disease information, and the target medical institution is obtained according to the patient information and the target disease level;

[0160] A receiving unit 72, configured to receive the target two-dimensional code sent by the server;

[0161] A second recognition unit 73, configured to recognize the target two-dimensional code to obtain the target disease level and the target medical institution.

[0162] The device for determining hierarchical diagnosis and treatment provided by the present disclosure obtains the disease information of a patient; performs disease level recognition on the disease information to obtain a target disease level; based on the disease information and the target disease level, searches for medical institutions with a first relevance higher than a preset first threshold in a preset medical resource library to obtain corresponding target medical institutions; the first relevance is the percentage of the relevance between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance; generates a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code; sends the target two-dimensional code to a client so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code. Compared with the related art, in the embodiment of the present disclosure, by obtaining the disease information of a patient, performing disease level recognition on the disease information to obtain a target disease level, based on the disease information and the target disease level, searching for medical institutions with a first relevance higher than a preset first threshold in a preset medical resource library to obtain corresponding target medical institutions, generating a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code, and sending the target two-dimensional code to a client so that the client can perform hierarchical diagnosis and treatment according to the target two-dimensional code, when determining hierarchical diagnosis and treatment, it is not necessary to determine hierarchical diagnosis and treatment in a medical institution, thereby improving the efficiency of hierarchical diagnosis and treatment.

[0163] Further, in a possible implementation manner of this embodiment, the target two-dimensional code further includes: target doctor information corresponding to the target medical institution, remaining registration information corresponding to the target doctor information, payment system information corresponding to the target medical institution, and case system information corresponding to the medical institution;

[0164] Wherein, the target doctor information is obtained according to the target medical institution, the remaining registration information is obtained according to the target doctor information, and the payment system information and the case system information are obtained according to the target medical institution.

[0165] It should be noted that the foregoing explanations of the method embodiments also apply to the device in this embodiment, with the same principle, and will not be limited in this embodiment.

[0166] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0167] Figure 9FIG. 0 shows a schematic block diagram of an example electronic device 800 that may be used to implement embodiments of the present disclosure. The electronic device is intended to represent various forms of digital computers, such as, for example, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as, for example, personal digital processors, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely exemplary and are not intended to limit the implementations of the present disclosure described and / or claimed herein.

[0168] As Figure 9 shown, the device 800 includes a computing unit 801 that can perform various appropriate actions and processes in accordance with a computer program stored in a ROM (Read-Only Memory) 802 or a computer program loaded from a storage unit 808 into a RAM (Random Access Memory) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other via a bus 804. An I / O (Input / Output) interface 805 is also connected to the bus 804.

[0169] A plurality of components in the device 800 are connected to the I / O interface 805, including: an input unit 806, such as a keyboard, a mouse, etc.; an output unit 807, such as various types of displays, speakers, etc.; a storage unit 808, such as a magnetic disk, an optical disk, etc.; and a communication unit 809, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0170] The computing unit 801 can be various general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, CPU (Central Processing Unit), GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSP (Digital Signal Processor), and any suitable processor, controller, microcontroller, etc. The computing unit 801 executes the various methods and processes described above, such as the method for determining hierarchical diagnosis and treatment. For example, in some embodiments, the method for determining hierarchical diagnosis and treatment can be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program can be loaded and / or installed onto the device 800 via the ROM 802 and / or the communication unit 809. When the computer program is loaded into the RAM 803 and executed by the computing unit 801, one or more steps of the methods described above can be executed. Alternatively, in other embodiments, the computing unit 801 can be configured to execute the aforementioned method for determining hierarchical diagnosis and treatment in any other suitable manner (e.g., by means of firmware).

[0171] Various embodiments of the systems and techniques described above in this article can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chip), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a dedicated or general programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0172] The program code for implementing the methods of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, such that when the program codes are executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program codes can be executed entirely on the machine, partially on the machine, executed partially on the machine as an independent software package and partially on a remote machine, or executed entirely on a remote machine or server.

[0173] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in connection with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media would include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory), or flash memory, optical fibers, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0174] In order to provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which the user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0175] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with embodiments of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by digital data communication in any form or medium (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0176] A computer system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services ("Virtual Private Server", or simply "VPS"). The server can also be a server of a distributed system, or a server combined with blockchain.

[0177] Among them, it should be noted that artificial intelligence is a discipline that studies enabling a computer to simulate certain thinking processes and intelligent behaviors of humans (such as learning, reasoning, thinking, planning, etc.), and has both hardware-level technologies and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include several major directions such as computer vision technology, speech recognition technology, natural language processing technology, and machine learning / deep learning, big data processing technology, and knowledge graph technology.

[0178] It should be understood that various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in this disclosure can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and no limitation is imposed herein.

[0179] The above specific embodiments do not constitute a limitation on the protection scope of the present disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present disclosure shall be included within the protection scope of the present disclosure.

Claims

1. A method for determining hierarchical medical treatment, characterized in that, the method is applied to a server and includes: obtaining disease information of a patient; identifying a disease level for the disease information to obtain a target disease level; based on the disease information and the target disease level, searching for medical institutions in a preset medical resource library whose first relevance is higher than a preset first threshold to obtain corresponding target medical institutions; the first relevance is the percentage of the relevance between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance; generating a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code; sending the target two-dimensional code to a client so that the client can perform hierarchical medical treatment according to the target two-dimensional code.

2. The method according to claim 1, characterized in that, the searching for medical institutions in a preset medical resource library whose first relevance is higher than a preset first threshold based on the disease information and the target disease level to obtain corresponding target medical institutions includes: searching for the medical institution level corresponding to the target disease level to obtain a target medical institution level; the disease levels include general diseases, sub-key diseases and key diseases, the medical institution levels include primary medical institutions, secondary medical institutions and tertiary medical institutions, the primary medical institutions receive the general diseases, the secondary medical institutions receive the sub-key diseases, and the tertiary medical institutions receive the key diseases; searching for medical institutions corresponding to the target medical institution level in the preset medical resource library to obtain at least one medical institution; calculating the relevance between the disease information and each of the at least one medical institution to obtain the first relevance corresponding to each of the at least one medical institution; searching for medical institutions in the at least one medical institution whose first relevance is higher than a preset first threshold to obtain the target medical institutions.

3. The method according to claim 2, characterized in that, after searching for medical institutions in a preset medical resource information library whose relevance is higher than a preset first threshold based on the disease information and the target disease level to obtain corresponding target medical institutions, the method further includes: obtaining at least one doctor information corresponding to the target medical institution; calculating the relevance between the disease information and each of the at least one doctor information to obtain the second relevance corresponding to each of the at least one doctor information; the second relevance is the percentage of the relevance between the disease information and the doctor information; searching for doctor information in the at least one doctor information whose second relevance is higher than a preset second threshold to obtain the target doctor information; the preset second threshold is the threshold corresponding to the second relevance; the generating a two-dimensional code according to the target disease level and the target medical institution to obtain a target two-dimensional code includes: generating a two-dimensional code according to the target disease level, the target medical institution and the target doctor information to obtain a target two-dimensional code.

4. The method according to claim 3, characterized in that, After finding the doctor information with a second relevance higher than a preset second threshold in the at least one doctor information to obtain the target doctor information, the method further includes: Obtaining the remaining registration information corresponding to the target doctor information; The generating a target two-dimensional code according to the target disease level, the target medical institution, and the target doctor information to obtain the target two-dimensional code includes: Generating a two-dimensional code according to the target disease level, the target medical institution, the target doctor information, and the remaining registration information to obtain the target two-dimensional code.

5. According to the method described in claim 4, wherein, After finding a medical institution with a first relevance higher than a preset first threshold in a preset medical resource information database based on the disease information and the target disease level, the method further includes: Obtaining the target number of patients corresponding to the target medical institution; If the target number of patients exceeds a preset threshold of the number of patients, re-finding medical institutions in the at least one medical institution in the order of the distance between the medical institution and the patient from near to far to obtain a new target medical institution; According to the new target medical institution, re-finding the target doctor information and re-finding the remaining registration information corresponding to the target doctor information to obtain new target doctor information and new remaining registration information; The generating a target two-dimensional code according to the target disease level, the target medical institution, the target doctor information, and the remaining registration information to obtain the target two-dimensional code includes: Generating a two-dimensional code according to the target disease level, the new target medical institution, the new target doctor information, and the new remaining registration information to obtain the target two-dimensional code.

6. According to the method described in claim 3, wherein, Before sending the target two-dimensional code to the client, the method further includes: Obtaining the payment system information and the case system information corresponding to the target medical institution; The generating a target two-dimensional code according to the target disease level, the target medical institution, the target doctor information, and the remaining registration information to obtain the target two-dimensional code includes: Generating a two-dimensional code according to the target disease level, the target medical institution, the target doctor information, the remaining registration information, the payment system information, and the case system information to obtain the target two-dimensional code.

7. A method for determining hierarchical diagnosis and treatment, wherein, The method is applied to a client and includes: Sending the disease information of the patient to the server so that the server generates a corresponding target two-dimensional code according to the disease information, and the target two-dimensional code at least includes a target disease level and a target medical institution; the target disease level is obtained according to the disease information, and the target medical institution is obtained according to the patient information and the target disease level; Receiving the target two-dimensional code sent by the server; Identifying the target two-dimensional code to obtain the target disease level and the target medical institution.

8. According to the method described in claim 7, wherein, The target QR code further includes: target doctor information corresponding to the target medical institution, remaining registration information corresponding to the target doctor information, payment system information corresponding to the target medical institution, and case system information corresponding to the medical institution; Among them, the target doctor information is obtained according to the target medical institution, the remaining registration information is obtained according to the target doctor information, and the payment system information and the case system information are obtained according to the target medical institution.

9. A device for determining hierarchical diagnosis and treatment, characterized in that, The device is applied to a server and includes: An acquisition unit for acquiring disease information of a patient; A first recognition unit for performing disease level recognition on the disease information to obtain a target disease level; A first search unit for searching, based on the disease information and the target disease level, for a medical institution in a preset medical resource library whose first relevance is higher than a preset first threshold to obtain a corresponding target medical institution; the first relevance is the percentage of the correlation between the disease information and the medical institution, and the preset first threshold is the threshold corresponding to the first relevance; A generation unit for generating a QR code according to the target disease level and the target medical institution to obtain a target QR code; A first sending unit for sending the target QR code to a client so that the client can perform hierarchical diagnosis and treatment according to the target QR code.

10. An electronic device, characterized in that, It includes: At least one processor; And A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method according to any one of claims 1-6 or the method according to any one of claims 7-8.

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