CN113870983A

CN113870983A - Social health transfer method, device, computer equipment and storage medium

Info

Publication number: CN113870983A
Application number: CN202111142806.0A
Authority: CN
Inventors: 徐欣星; 刘顺雯
Original assignee: Ping An International Smart City Technology Co Ltd
Current assignee: Shenzhen Ping An Smart Healthcare Technology Co ltd
Priority date: 2021-09-28
Filing date: 2021-09-28
Publication date: 2021-12-31

Abstract

The application discloses a method and a device for community health transfer diagnosis, computer equipment and a storage medium. The method for the transfer of the society health comprises the following steps: acquiring personal verification information of a patient; confirming the medical insurance participation type of the patient according to the personal verification information; if the medical insurance participation type meets the preset referral condition, acquiring the disease information of the patient and the target hospital information to be referred by the patient; obtaining a referral score value according to the disease information; if the referral score value is larger than the preset score value, sending the disease information to a target hospital platform of which the target hospital information points; acquiring the information of agreeing to receive a doctor, which is sent by a target hospital platform; and acquiring referral information according to the referral agreement information, and sending the referral information to the target equipment. The society's health and referral method can improve the doctor seeing efficiency of ginseng and protected people.

Description

Social health transfer method, device, computer equipment and storage medium

Technical Field

The application relates to the technical field of medical treatment, in particular to a method, a device, computer equipment and a storage medium for community health and referral.

Background

At present, the medical insurance type has limitation on medical insurance reimbursement for hospital treatment, for example, a medical insurance second-grade insurer can only visit a doctor at an outpatient service center of a social health center bound to a medical insurance card, and a doctor needs to reserve a main doctor at the bound social health center before the doctor wants to use the medical insurance to visit the hospital outpatient service, so that the main doctor can visit a designated hospital after issuing a referral certificate. Under the condition that the patient who visits the hospital and is limited by medical insurance reimbursement needs to be transferred to the hospital to see a doctor, the patient-watching efficiency of the patient-visiting insurer is low.

Disclosure of Invention

In view of this, the embodiment of the present application provides a method, an apparatus, a computer device and a storage medium for transfer diagnosis of a community health care, so as to solve the problem that when a patient who is limited by medical insurance reimbursement for hospital visit needs to be transferred to the hospital for hospital visit, the patient visit efficiency of the patient is low.

In a first aspect, an embodiment of the present application provides a method for homecare transfer, the method including:

acquiring personal verification information of a patient;

confirming the medical insurance participation type of the patient according to the personal verification information;

if the medical insurance participation type meets the preset referral condition, acquiring the disease information of the patient and the target hospital information to be referred by the patient;

obtaining a referral score value according to the disease information;

if the referral score value is larger than a preset score value, sending the disease information to a target hospital platform pointed by the target hospital information;

acquiring the information of agreeing to receive a doctor, which is sent by the target hospital platform;

and acquiring referral information according to the referral agreement information, and sending the referral information to target equipment.

The above-described aspect and any possible implementation manner further provide an implementation manner, where the obtaining of the personal verification information of the patient includes:

acquiring an account identifier of a login account of a social health referral platform of a patient;

searching account user information according to the account identification;

if the account user information exists, acquiring personal verification information of the patient according to the account user information;

if the account user information does not exist, acquiring the face information of the patient;

identifying the face information of the patient, and calling a personal verification information input page if the identification result is consistent with the account identification;

and acquiring the personal verification information of the patient through the personal verification information entry page.

The above aspect and any possible implementation manner further provide an implementation manner, where the disease information includes a disease category and a disease grade, and the deriving a referral score value according to the disease information includes:

acquiring geographic information of a social health transfer platform login device;

acquiring a preset number of social health service center identifications according to the geographic information;

acquiring disease processing weights corresponding to different disease types in each social health service center according to the social health service center identification;

and multiplying the disease treatment weight by the disease grade according to the disease category to obtain at least one referral score value.

The above aspect and any possible implementation further provides an implementation, wherein the determining of the disease category and the disease grade comprises the steps of:

acquiring a disease picture;

adopting a pre-trained disease picture identification model to identify the disease picture and determine the disease type;

selecting a class classification model according to the disease category;

determining the disease grade of the disease picture by adopting the grade classification model;

and if the confidence of the disease type or the disease grade is lower than a preset threshold value, adopting the disease type or the disease grade input by a user.

The above aspect and any possible implementation manner further provide an implementation manner, where the obtaining of referral information according to the consent-treatment information and the sending of the referral information to a target device includes:

acquiring referral information from the information of treatment agreement by adopting a text extractor, wherein the information of treatment agreement is represented by adopting a preset typesetting format;

and sending the referral information to the target equipment so that the target equipment generates a referral page according to a preset drawing type and the referral information.

In a second aspect, an embodiment of the present application provides a device for homecare transfer, the device including:

the first acquisition module is used for acquiring personal verification information of a patient;

the confirming module is used for confirming the medical insurance participation type of the patient according to the personal verification information;

the second acquisition module is used for acquiring the disease information of the patient and the target hospital information to be referral of the patient when the medical insurance participation type meets a preset referral condition;

the third acquisition module is used for obtaining a referral score value according to the disease information;

the transmitting module is used for transmitting the disease information to a target hospital platform pointed by the target hospital information when the referral score value is larger than a preset score value;

the fourth acquisition module is used for acquiring the information of agreeing to receive a doctor, which is sent by the target hospital platform;

and the fifth acquisition module is used for acquiring referral information according to the referral agreement information and sending the referral information to the target equipment.

Further, the first obtaining module comprises:

the first acquisition unit is used for acquiring the account identification of the social health transfer platform login account of the patient;

the searching unit is used for searching account user information according to the account identification;

the second acquisition unit is used for acquiring personal verification information of the patient according to the account user information if the account user information exists;

the third acquisition unit is used for acquiring the face information of the patient when the account user information does not exist;

the calling unit is used for identifying the face information of the patient and calling a personal verification information input page if the identification result is consistent with the account identification;

and the fourth acquisition unit is used for acquiring the personal verification information of the patient through the personal verification information entry page.

Further, the disease information includes a disease category and a disease grade, and the third obtaining module includes:

the fifth acquisition unit is used for acquiring the geographic information of the social transfer platform login equipment;

the sixth acquisition unit is used for acquiring the social health service center identifications with the preset number according to the geographic information;

the seventh obtaining unit is used for obtaining the disease processing weight corresponding to different disease types in each social service center according to the social service center identification;

and the eighth acquisition unit is used for multiplying the disease treatment weight by the disease grade according to the disease type to obtain at least one referral score value.

Further, the social health referral device further comprises:

a ninth acquiring unit for acquiring a disease picture;

the identification unit is used for identifying the disease picture by adopting a pre-trained disease picture identification model and determining the disease type;

a selection unit for selecting a class classification model according to the disease category;

a determining unit, configured to determine the disease grade of the disease picture by using the grade classification model;

and the second determining unit adopts the disease type or the disease grade input by the user if the confidence of the disease type or the disease grade is lower than a preset threshold.

Further, the fifth obtaining module includes:

a tenth obtaining unit, configured to obtain referral information from the consent-treatment information by using a text extractor, where the consent-treatment information is represented by using a preset typesetting format;

and the transmitting unit is used for transmitting the referral information to the target equipment so that the target equipment generates a referral page according to a preset drawing type and the referral information.

In a third aspect, an embodiment of the present application provides a computer device, including a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, where the processor executes the computer readable instructions to perform the steps of the social transfer method according to the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium storing computer-readable instructions, which when executed by a processor, implement the steps of the social transfer method according to the first aspect.

In the embodiment of the application, whether the medical insurance type of the patient meets the preset referral condition or not is confirmed according to the personal verification information of the patient, and the patient primarily meeting the social health referral can be quickly screened out; and then obtaining a referral score value of the patient according to the input disease information, determining whether the patient has the necessary referral by using the referral score value, when the referral score value is larger than a preset score value, sending the disease information to a target hospital platform by the aid of the socially convaled platform, obtaining the referral information according to the referral approval information sent by the target hospital platform after the referral score value is checked and determined by the target hospital platform, and sending the referral information to target equipment to realize the function of the socially convaled. In the embodiment of the application, the specific analysis of the disease information of the patient by the aid of the transfer platform for the health of the society can quickly acquire the transfer information of the patient meeting the transfer condition, so that the patient who visits the hospital and is limited by medical insurance reimbursement can quickly complete the transfer process under the condition that the patient needs to be transferred to the hospital for medical care, and the medical care efficiency of the patient can be remarkably improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.

FIG. 1 is a flow chart of a method of institutional review in one embodiment of the present application;

FIG. 2 is a schematic block diagram of an apparatus corresponding to a transfer method of society in one embodiment of the present application;

FIG. 3 is a schematic diagram of a computer device according to an embodiment of the present application.

Detailed Description

For better understanding of the technical solutions of the present application, the following detailed descriptions of the embodiments of the present application are provided with reference to the accompanying drawings.

It should be understood that the embodiments described are only a few embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the examples of this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be understood that the term "and/or" as used herein is merely a field that describes the same of an associated object, meaning that three relationships may exist, e.g., A and/or B, may indicate: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

It should be understood that although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present application, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, the first preset range may also be referred to as a second preset range, and similarly, the second preset range may also be referred to as the first preset range, without departing from the scope of the embodiments of the present application.

The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

FIG. 1 is a flow chart of a method for transfer of health care to society in an embodiment of the present application. The community health referral method can be applied to the scene that the medical insurance ginseng and insurance people refer to the hospital from the social health service center. The medical insurance ginseng can realize the society's transfer diagnosis through the society's transfer diagnosis platform. As shown in fig. 1, the social health consultation method comprises the following steps:

s10: personal authentication information of the patient is obtained.

The personal verification information is information for verifying medical insurance participation of the patient, and the information specifically comprises the name, the identity card number, the social insurance card number and the like of the patient, and the medical insurance participation of the patient can be uniquely determined through the information. In one embodiment, the personal verification information of the patient may be available from multiple channels, and the more efficient acquisition mode may be selected to obtain the personal verification information.

S20: and confirming the medical insurance participation type of the patient according to the personal verification information.

As can be appreciated, the type of medical insurance policy has a limit on medical insurance reimbursements for visits to the hospital, e.g., a file of medical insurance policies may be visited directly at the hospital and reimbursed via a medical insurance card. For the second-grade medical insurance ginseng insurance, only the inquiry and reimbursement of the social security service center are supported, and if the second-grade medical insurance ginseng insurance person wants to see a doctor in a designated hospital and reimburse the doctor by using a medical insurance card, the doctor in the main medical service center needs to issue a transfer order. When the social health service center cannot provide medical support required by the second-level medical insurance policy, the second-level medical insurance policy still has to go to the social health service center to allow a main doctor to issue a referral note, which brings more inconvenience to the second-level medical insurance policy, and the efficiency of seeing a doctor by the second-level medical insurance policy is low.

In the embodiment of the application, the community health referral platform checks the personal verification information of the patient, confirms the medical insurance type of the patient, and quickly screens out the patient primarily meeting the community health referral. If the patient is a first-grade medical insurance patient, the society health and referral platform can prompt the patient to go to the hospital for medical treatment, and if the patient is not under the referral conditions such as medical insurance patient insurance, the patient can be informed that the referral cannot be completed. The identity of the patient can be checked in the early stage of the community health referral, the situation that the patient cannot meet the condition of the community health referral after filling up a pile of information can be avoided, and the efficiency of the community health referral can be improved.

S30: and if the medical insurance participation type meets the preset referral condition, acquiring the disease information of the patient and the target hospital information to be referred by the patient.

Wherein the disease information is the current disease details of the patient. The disease information may be represented by text or image information. The target hospital information is information of a hospital where the patient desires to see a doctor, and information such as a hospital name, a hospital number, and the like, which can be used to identify the target hospital.

In one embodiment, when the medical insurance policy type meets a preset referral condition (for example, the medical insurance policy type of the patient is a second-level medical insurance policy type), the social health referral platform acquires the disease information input by the patient and the target hospital information to be referred by the patient. Specifically, the social health referral platform may provide a disease information entry page where the patient may quickly enter disease information. For example, a disease information entry page includes a disease category field from which a patient may first identify a subject, such as a dermatology subject, to which the disease belongs; then, the specific disease type, such as eczema, urticaria, wound purulence, etc., is determined in the general family to which the disease belongs. The patient can quickly enter the disease information through the disease information entry page. Furthermore, the patient can also send the disease information to the community health and referral platform in a mode of taking a picture and uploading a disease image. Further, the disease information may include other information related to the disease besides the disease type, such as a disease degree, a disease duration, and the like, which is not limited herein.

Further, the target hospital information can be actively input by the patient, or can be intelligently generated by the community health and consultation platform according to medical resources. In particular, for some diseases which cannot be treated by the social health service center, medical resources for treating the diseases are different in different hospitals, for example, the medical resources for treating tumor diseases are stronger in the tumor hospitals. If the user does not specify a specific hospital for referral, the community health referral platform can consider the hospital which can improve better medical resources for the patient, namely the hospital which the patient desires to see a doctor, so that when the patient needs to be referred but does not know which hospital to which the patient is to be referred, the community health referral platform can intelligently acquire target hospital information, and the patient can refer to the hospital which the patient desires to see a doctor.

S40: and obtaining a referral score value according to the disease information.

The referral score value is used for judging whether the socio referral request of the patient is necessary, if the referral score value is too low, the socio referral platform can consider that the medical resources of the current socio service center can meet the treatment of the patient, and can refute the socio referral request of the patient. It is understood that if the socio referral platform rejects the patient's request for socio referral, the patient may still insist on referral, and go to the socio service center to allow the referring physician to issue a referral order. The social health transfer platform has the function of reasonably distributing medical resources, and for the condition that the social health service center can provide enough medical resources for the patient, the patient is encouraged to complete the treatment preferentially in the social health service center so as to reasonably distribute the medical resources.

In one embodiment, the disease information reflects the disease condition of the patient, based on which a scoring algorithm for calculating referral score values may be pre-set. According to the preset scoring algorithm, the society health referral platform analyzes according to the disease information to obtain the corresponding referral score value. The referral score value combines medical resources of the social health service center and disease conditions of the patients, and can score whether the patients need referral or not so as to more reasonably distribute the medical resources between the social health service center and the hospitals. Further, the scoring algorithm of the referral score value can be adjusted according to the returned referral score value, for example, when the referral score value is not in accordance with the actual condition of the referral request of the patient, the scoring algorithm can be correspondingly adjusted, so that whether the societal referral request of the patient is necessary can be more accurately judged according to the referral score value obtained from the disease information.

S50: and if the referral score value is larger than the preset score value, sending the disease information to a target hospital platform pointed by the target hospital information.

The target hospital platform refers to a cloud platform of a hospital where a patient desires to see a doctor, and the cloud platform is used for processing online matters of the target hospital.

In one embodiment, the preset score is a decision threshold to determine whether the patient is able to undergo a social transfer. When the referral score value is larger than the preset score value, the social health service center cannot provide better medical support for the current condition of the patient, and the target hospital platform can send the disease information of the patient and further judge the social health referral request of the patient according to the disease information; when the referral score value is not more than the preset score value, the current request of the social health service center for the patient is considered to be capable of improving enough medical support, and the request of the social health referral of the patient can be rejected. Through comparison of the values of the referral score, the referral request of the society for the medical service, which is considered by the society for the medical service platform to meet the society for the medical service condition, can be quickly screened out.

S60: and acquiring the information of agreeing to receive a doctor, which is sent by the target hospital platform.

In an embodiment, the target hospital platform may determine whether to approve the receiving of the medical examination through a referral judgment logic preset by the hospital side, or may send the disease information of the patient to a terminal device of a relevant physician in the hospital, so that the relevant physician in the hospital determines whether to approve the receiving of the medical examination through the terminal device. Therefore, the social service center and the hospital can be connected, and when the social service center and the hospital consider that the patient needs to go to the hospital for treatment, the target hospital platform can send the treatment approval information to the social transfer platform to instruct the social transfer platform to complete the next transfer procedure.

S70: and acquiring referral information according to the referral agreement information, and sending the referral information to the target equipment.

The target device may refer to a computer device of the patient registration office health and referral platform, including but not limited to a mobile phone, a tablet, a personal computer, and the like. The patient can either be informed of the success of the referral by the computer device or.

In one embodiment, after the information of agreeing to receive a referral sent by the hospital platform is obtained, the social health referral platform needs to synchronously inform the patient of successful referral. Specifically, the social health referral platform extracts referral information from the consent-consultation information and sends the referral information to the target device, so that the patient can know the successful referral information through the target device. In addition, the patient may use the referral information as a warrant for a visit to the hospital.

Further, in step S10, acquiring the personal verification information of the patient specifically includes the following steps:

s11: and obtaining the account identification of the login account of the social health transfer platform of the patient.

The account ID refers to an ID for logging in the social health care and referral platform, and specifically may be a login account ID of the social health care and referral platform. In one embodiment, when a user logs in a society's office platform by means of an account identifier, the account identifier can be used to attempt to acquire personal authentication information of the patient.

S12: and searching account user information according to the account identification.

S13: and if the account user information exists, acquiring the personal verification information of the patient according to the account user information.

The account user information of the patient comprises personal verification information. In an embodiment, for a user account with filled and completed account user information, bound account user information can be searched through an account identifier, and personal verification information which can be used for verifying medical insurance participation types of a patient is directly extracted from the account user information. Therefore, the personal verification information of the patient can be acquired quickly by directly utilizing the account identification without inputting the personal verification information into the patient every time.

S14: and if the account user information does not exist, acquiring the face information of the patient.

In an embodiment, when the account user information of the patient is not found according to the account identifier, the user can be reminded to complete filling of the account user information, and then the face information of the patient is acquired so as to verify the identity of the patient who logs in the hospital platform of the society currently.

S15: and identifying the face information of the patient, and calling a personal verification information entry page if the identification result is consistent with the account identification.

It is understood that the patient may include a face information collection process for the patient when the patient logs into the account at the registry healthcare platform. The account user information can be completed after registration, and the face information of the patient is collected in the registration stage and is bound with the account identification.

In an embodiment, the social transfer service platform performs face recognition according to the face information of the patient, and if the recognition result is consistent with the account identifier, it is determined that the face information bound by the account identifier and the currently recognized face information are from the same patient, and the patient who logs in the account by the social transfer service platform can be considered to log in the social transfer service platform. In the embodiment of the application, when the personal authentication information of a patient cannot be obtained quickly, the identity of the patient is verified to correctly obtain the personal authentication information of the patient, and the situations that a personal account is falsely used for login and the like are avoided.

S16: and acquiring personal verification information of the patient through the personal verification information entry page.

In one embodiment, an information entry page can be displayed and popped up on the social health referral platform, and the patient can fill in personal verification information such as the user identity card number, social security number and the like on the information entry page. It can be understood that the patient who is currently logged in the community health and referral platform passes the face verification, and the validity of the identity of the current patient can be confirmed. The social health transfer service platform can provide an information entry page to acquire personal verification information of the patient, can prevent other behaviors which maliciously request the social health transfer service, and ensures the uniqueness of the association between the social health transfer service and the corresponding patient.

The specific implementation mode for obtaining the personal verification information of the patient is provided in the steps S11-S16, and the specific implementation mode comprises the steps of quickly obtaining the personal verification information through the account identification, obtaining the personal verification information through an information entry page after verifying the identity validity of the patient, and realizing safe and quick personal verification information obtaining.

Further, the disease information includes a disease type and a disease grade.

It is understood that each disease category may correspond to multiple disease levels, such as light, generally severe, very severe, and for different disease levels of different disease categories, the processing power of the social health service center decreases as the disease level increases, and for severe diseases, the user is apt to be consented to go to the hospital for treatment.

Further, in step S40, the step of obtaining a referral score according to the disease information specifically includes:

s41: and acquiring geographic information of the equipment logged in by the society transfer platform.

As can be appreciated, the social service centers are distributed in different areas, and the patient can select the social service center capable of improving the medical support from a plurality of social service centers as the visit place. If the corporate service center does not provide adequate medical support, the patient may request a referral from the corporate service center to a designated hospital visit.

In one embodiment, the social health referral platform login device can request to acquire the geographic information of the current device so as to select a plurality of social health service centers suitable for the treatment of the user from a plurality of social health service centers according to the difference of geographic positions.

S42: and acquiring the social health service center identifications with preset number according to the geographic information.

The social service center identifier is an identifier for uniquely identifying the social service center.

In one embodiment, each social service center is represented by a social service center identifier, so that the social service platform can search information of the relevant social service center, such as medical resource capacity of the social service center (for example, expertise of a resident doctor, project situation of total disease treatment, project situation of specialized disease treatment, and the like), in the cloud server through the social service center identifier, so as to determine whether the patient needs referral according to the medical resource capacity of different social service centers.

S43: and acquiring the disease processing weight corresponding to different disease types in each social health service center according to the social health service center identification.

In one embodiment, the disease category and the corresponding disease treatment weight are used as important reference parameters to determine whether the social health service center can provide sufficient medical support for the patient. Specifically, for some disease categories that cannot be seen by the social health service center, the weight may be set to 0. For the types of diseases which can be subdivided, the diseases can be subdivided by types so as to improve the accuracy of referral judgment. For example, in the social health service center a, where doctors with better experience in treating skin diseases are located, for diseases classified in dermatology and the following categories, which tend to be seen in the social health service center, the disease treatment weight can be set lower, such as 0.45, 0.55; for the general health service center B with only general practitioners, for some more serious disease cases, the hospital may be required to be referred to, and the disease weight may be set higher, such as 0.75, 0.85, etc. It is to be understood that when the disease treatment weight is set lower, the score is also lower when the referral score value is calculated, indicating that the patient is encouraged to complete the visit at the social care service center. Therefore, medical resources of each social health service center and the hospital can be fully utilized, and the social health and transfer diagnosis is more reasonable.

S44: multiplying the disease treatment weight by the disease grade according to the disease category to obtain at least one referral score value.

It can be understood that when the social health referral judgment is carried out, the medical resource capacities of a plurality of social health service centers can be simultaneously examined. In view of the difference of the disease treatment weight of each social service center to different disease types, a plurality of social service centers can be integrated to comprehensively judge whether the patient needs to be referral.

In one embodiment, the disease grades of different disease categories each correspond to an initial score, a high initial score indicates a serious disease condition, and if the serious disease grade can be set to 100, the first referral score of 100 × 0.75-75 can be obtained when the disease treatment weight of the social health service center a for the disease category is 0.75; when the disease treatment weight of the social health service center B for the disease category is 0.55, the second referral score value is 100 × 0.55 — 55. Assuming that the preset score is 50, since the first referral score and the second referral score are both greater than 50, the referral request of the current user can be considered to reach the referral standard, and the referral request can be directly approved at the moment. Further, the disease treatment weight and the score corresponding to the disease grade can be adjusted according to the feedback of the patient, the social health service center and the hospital, so as to optimize the judgment logic of referral.

In steps S41-S44, a specific embodiment of obtaining referral score values according to disease information is provided, and whether a patient needs referral can be comprehensively determined by using the fact that the social health service center has differences in disease treatment weights for different disease types and different initial score values are set for disease grades. Therefore, medical resources of each social health service center and the hospital can be fully utilized, and the social health and transfer can be more reasonable. When the patient needs to be referred, the patient does not need to go to a social health service center for referral certification, and can quickly examine and approve a referral request through a social health referral platform to finish the social health referral.

Further, the determination of the disease category and disease grade specifically comprises the following steps:

s81: and acquiring a disease picture.

In one embodiment, the patient may upload a picture of the disease on a social care referral platform. The community health consultation platform can rapidly determine the disease type and disease grade of the disease suffered by the patient by using the disease pictures.

S82: and adopting a pre-trained disease picture recognition model to recognize the disease picture and determine the disease type.

In one embodiment, a pre-trained disease picture recognition model can be used to recognize the disease picture uploaded by the patient, so as to quickly identify the disease type suffered by the patient.

S83: the class classification model is selected according to the disease category.

Wherein the class classification model is used to identify disease classes corresponding to disease classes.

It can be understood that, diseases of different disease categories should be trained in advance with corresponding multiple level classification models to determine suitable disease classification models for different disease categories, so that the accuracy of disease level classification can be improved by using the level classification model selected according to the disease category.

S84: and determining the disease grade of the disease picture by adopting a grade classification model.

In one embodiment, the class classification model is trained using a plurality of training samples, which include training pictures of the same disease category as the disease picture. After the obtained grade classification model is trained and the disease picture uploaded by the patient is input, the corresponding disease grade can be output according to the disease picture.

S85: and if the confidence of the disease type or the disease grade is lower than a preset threshold, adopting the disease type or the disease grade input by the user.

In one embodiment, taking the class classification model as an example, the same result output by the same class classification model does not represent the actual output weight of the model. It is to be understood that, for example, a class classification model set to be a lighter disease class with an output weight of less than 0.5, when the output weight of the class classification model is less than 0.2 (a preset threshold), it may be considered that there is a possibility that the class classification model is selected inaccurately or the recognition of the disease picture recognition model is inaccurate, and then there is a case where the output weight is too small (too small may be caused by a low correlation between the disease picture and the class classification model), which may cause the case where the disease class is originally a heavier disease class to be treated as a lighter symptom due to the problem of the model selection. In the embodiment of the present application, in order to prevent such a possible misjudgment situation, for a situation where the confidence level of the disease type or disease level is lower than the preset threshold, the disease type or disease level input by the patient may be used as the reference standard.

In steps S81-S85, a pre-trained disease picture recognition model and a level classification model are adopted, the disease type and the disease level of the disease suffered by the patient are rapidly determined according to the disease picture uploaded by the user, and in addition, the condition that the disease picture recognition model is possibly inaccurate to recognize and the level classification model is not suitable to select is considered. For the case that the confidence of the disease type or disease grade is lower than the preset threshold, the disease type or disease grade input by the patient can be used as a reference standard, so that the accuracy of the disease type and disease grade obtained by the community health consultation platform can be improved.

Further, in step S70, acquiring referral information according to the consent-consultation information, and sending the referral information to the target device, the method specifically includes:

s71: and acquiring referral information from the information of the consent to receive the consultation by adopting a text extractor, wherein the information of the consent to receive the consultation is represented by adopting a preset typesetting format.

In an embodiment, the information of the consent to receive the referral includes referral information such as hospital location, appointment time, department of seeing a doctor and the like, and the text extractor can be used for rapidly and accurately extracting the referral information at a fixed typesetting position according to a preset typesetting format.

S72: and sending the referral information to the target equipment so that the target equipment generates a referral page according to the preset drawing type and the referral information.

The preset drawing type is used for generating a referral page according to a preset drawing method.

In an embodiment, the target device receives referral information sent by the social health referral platform, and generates a referral page including the referral information on an application program interface according to a preset drawing type on the target device, wherein the patient can obtain the referral information through the referral page, and the referral page can be used as a certificate for visiting a hospital.

In steps S71-S72, the socially convaled doctor platform adopts a text extractor to extract the referral information from the consent-consultation information and sends the referral information to the target device, so that the target device can generate a referral page according to the preset drawing type and the referral information, a patient can check the referral information through the referral page at any time, and the referral page can be used as a certificate for the hospital to see a doctor.

In the embodiment of the application, whether the medical insurance type of the patient meets the preset referral condition or not is confirmed according to the personal verification information of the patient, and the patient primarily meeting the social health referral can be quickly screened out; and then obtaining a referral score value of the patient according to the input disease information, determining whether the patient has the necessary referral by using the referral score value, when the referral score value is larger than a preset score value, sending the disease information to a target hospital platform by the aid of the socially convaled platform, obtaining the referral information according to the referral approval information sent by the target hospital platform after the referral score value is checked and determined by the target hospital platform, and sending the referral information to target equipment to realize the function of the socially convaled. In the embodiment of the application, the specific analysis of the patient disease information by the community health referral platform can quickly acquire referral information for the patient meeting the referral condition, so that the referral process of the insured person who visits the hospital and is limited by medical insurance reimbursement can be quickly completed under the condition that the insured person needs to refer to the hospital for medical consultation, and the medical consultation efficiency of the insured person can be effectively improved.

Further, the method and the device can also be used for rapidly acquiring the personal verification information through the account identification and acquiring the personal verification information through the information input page after verifying the identity validity of the patient, so that the safe and rapid acquisition of the personal verification information can be realized.

Furthermore, the method and the system can comprehensively judge whether the patient needs referral or not by utilizing the difference of the treatment weights of the social health service center on the diseases of different disease types and the condition that different initial scores are set for the disease grades. The medical resources of the social health service centers and the hospitals can be fully utilized, so that the social health and referral are more reasonable. When the patient needs to be referred, the patient does not need to go to a social health service center for referral certification, and can quickly examine and approve a referral request through a social health referral platform to finish the social health referral.

Furthermore, the method and the device also adopt a pre-trained disease picture recognition model and a level classification model, quickly determine the disease type and the disease level of the disease suffered by the patient according to the disease picture uploaded by the user, and also consider the situations that the disease picture recognition model is possibly inaccurate to recognize and the level classification model is not suitable to select. For the case that the confidence of the disease type or disease grade is lower than the preset threshold, the disease type or disease grade input by the patient can be used as a reference standard, so that the accuracy of the disease type and disease grade obtained by the community health consultation platform can be improved.

Furthermore, the method and the device also adopt the text extractor to extract the referral information from the consent-consultation information and send the referral information to the target device, so that the target device can generate a referral page according to the preset drawing type and the referral information. The patient can check referral information through the referral page at any time, and the referral page can be used as a certificate for visiting a hospital.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

Fig. 2 is a schematic block diagram of an apparatus corresponding to a transfer method of society in an embodiment of the present application. As shown in fig. 2, the social health consultation apparatus includes a first acquiring module 10, a confirming module 20, a second acquiring module 30, a third acquiring module 40, a sending module 50, a fourth acquiring module 60, and a fifth acquiring module 70.

The first acquisition module 10 is used for acquiring personal verification information of a patient.

And the confirming module 20 is used for confirming the medical insurance participation type of the patient according to the personal verification information.

And the second obtaining module 30 is configured to obtain the disease information of the patient and the target hospital information to be referral of the patient when the medical insurance participation type meets a preset referral condition.

And the third acquisition module 40 is used for obtaining the referral score value according to the disease information.

And the sending module 50 is configured to send the disease information to the target hospital platform to which the target hospital information points when the referral score value is greater than the preset score value.

And a fourth obtaining module 60, configured to obtain the information of consent to receive a doctor, which is sent by the target hospital platform.

And a fifth obtaining module 70, configured to obtain referral information according to the referral agreement information, and send the referral information to the target device.

Optionally, the first obtaining module 10 includes:

the searching unit is used for searching the account user information according to the account identifier;

and a fourth acquisition unit configured to acquire the personal authentication information of the patient through the personal authentication information entry page.

Optionally, the disease information includes a disease category and a disease grade.

Optionally, the third obtaining module 40 comprises.

And the fifth acquisition unit is used for acquiring the geographic information of the social transfer platform login equipment.

And the sixth acquisition unit is used for acquiring the social health service center identifications with the preset number according to the geographic information.

And the seventh acquisition unit is used for acquiring the disease processing weight corresponding to different disease types in each social service center according to the social service center identification.

Optionally, the social health referral device further comprises:

and the ninth acquisition unit is used for acquiring the disease picture.

And the recognition unit is used for recognizing the disease picture by adopting the pre-trained disease picture recognition model and determining the disease type.

And the selection unit is used for selecting the level classification model according to the disease type.

And the determining unit is used for determining the disease grade of the disease picture by adopting the grade classification model.

And the second determining unit is used for adopting the disease type or the disease grade input by the user if the confidence of the disease type or the disease grade is lower than a preset threshold value.

Optionally, the fifth obtaining module 70 includes:

and the tenth acquisition unit is used for acquiring referral information from the consent-consultation information by adopting the text extractor, wherein the consent-consultation information is represented by adopting a preset typesetting format.

And the transmitting unit is used for transmitting the referral information to the target equipment so that the target equipment generates a referral page according to the preset drawing type and the referral information.

As shown in fig. 3, computer device 110 includes a processor 111, a memory 112, and computer readable instructions 113 stored in memory 112 and executable on processor 111. The processor 111, when executing the computer readable instructions 113, performs the steps of the social care referral method.

Illustratively, the computer readable instructions 113 may be divided into one or more modules/units, which are stored in the memory 112 and executed by the processor 111 to accomplish the present application. One or more modules/units may be a series of computer-readable instruction segments capable of performing certain functions, which are used to describe the execution of computer-readable instructions 113 in computer device 110.

The computing device 110 may be a desktop computer, a notebook, a palm top computer, a cloud server, or other computing devices. The computer device may include, but is not limited to, a processor 111, a memory 112. Those skilled in the art will appreciate that fig. 3 is merely an example of a computer device 110 and is not intended to limit computer device 110 and may include more or fewer components than those shown, or some of the components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.

The Processor 111 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The storage 112 may be an internal storage unit of the computer device 110, such as a hard disk or a memory of the computer device 110. The memory 112 may also be an external storage device of the computer device 110, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device 110. Further, memory 112 may also include both internal and external storage for computer device 110. The memory 112 is used to store computer readable instructions and other programs and data required by the computer device. The memory 112 may also be used to temporarily store data that has been output or is to be output.

The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.

The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

In the embodiment of the application, the server may be an independent server, or may be a cloud server that provides basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, Network service, cloud communication, middleware service, domain name service, security service, Content Delivery Network (CDN), big data, an artificial intelligence platform, and the like.

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by the present application, and can also be realized by hardware related to computer readable instructions, which can be stored in a computer readable storage medium, and when the computer readable instructions are executed by a processor, the steps of the above described method embodiments can be realized. Wherein the computer readable instructions comprise computer readable instruction code which may be in source code form, object code form, an executable file or some intermediate form, and the like. The computer-readable medium may include: any entity or device capable of carrying the computer-readable instruction code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.

The present application further provides a computer readable storage medium having computer readable instructions stored thereon which, when executed by a processor, implement a method of community referral.

The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims

1. A method for transfer diagnosis of a society health, which is characterized by comprising the following steps:

acquiring personal verification information of a patient;

obtaining a referral score value according to the disease information;

2. The method of claim 1, wherein the obtaining personal verification information for the patient comprises:

searching account user information according to the account identification;

3. The method of claim 1, wherein the disease information includes a disease category and a disease grade, and wherein deriving a referral score value from the disease information comprises:

acquiring geographic information of the social health transfer platform login equipment;

4. The method according to claim 3, wherein the determination of the disease category and the disease grade comprises the steps of:

acquiring a disease picture;

selecting a class classification model according to the disease category;

5. The method according to any one of claims 1-4, wherein the obtaining referral information according to the consent treatment information and sending the referral information to a target device comprises:

6. A device for transfer of a patient's health, comprising:

7. The apparatus of claim 6, wherein the first obtaining module comprises:

8. The apparatus of claim 6, wherein the disease information comprises a disease category and a disease grade, and the third obtaining module comprises:

9. A computer device comprising a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, wherein the processor when executing the computer readable instructions performs the steps of the social transfer method of any one of claims 1-5.

10. A computer readable storage medium storing computer readable instructions, wherein the computer readable instructions, when executed by a processor, implement the steps of the social transfer method of any one of claims 1-5.