CN111403053A - Doctor-patient interaction method, system and storage medium - Google Patents

Abstract

The invention discloses a doctor-patient interaction method, a doctor-patient interaction system and a storage medium, wherein the method comprises the following steps: the user side acquires face image information of a user and transmits the face image information to the server, and the server generates a corresponding face model according to the face image information and transmits the face model to the user side for the user to confirm; the server generates a shaping scheme according to the face model confirmed by the user and feeds the shaping scheme back to the user side; the user side determines a first shaping scheme according to the shaping scheme and sends the first shaping scheme to a server; and the server generates doctor information according to the big data information and the first shaping scheme, and sends the doctor information to the user side for selection by the user. The invention can provide a shaping simulation scheme and related doctor recommendation for the beauty lovers, thereby eliminating the problem that the beauty lovers are unwilling to go to a beauty parlor for on-site consultation due to privacy problem and bringing convenience to users.

Description

A doctor-patient interaction method, system and storage medium

technical field

The present invention relates to the field of medical technology, in particular to a doctor-patient interaction method, system and storage medium.

Background technique

With the continuous progress of the society, the rapid development of the economy and the continuous improvement of people's quality, the medical and cosmetic surgery industry has become more and more popular among beauty lovers. However, many beauty lovers have the problem of blindness in cosmetic surgery and do not know which cosmetic procedures are really suitable for them. Moreover, due to privacy issues, beauty lovers are reluctant to go to beauty salons for on-site consultation, and worry about the level of doctors. At the same time, I was worried about not being able to find the right doctor for me.

SUMMARY OF THE INVENTION

The technical problem to be solved by the present invention is to provide a doctor-patient interaction method, system and storage medium aiming at the deficiencies of the prior art.

In order to solve the above-mentioned technical problems, the technical scheme adopted in the present invention is as follows:

A doctor-patient interaction method, wherein the method comprises:

The client obtains the user's face image information and transmits it to the server, and the server generates a corresponding face model according to the face image information, and transmits it to the client for the user to confirm;

The server generates a plastic surgery plan according to the face model confirmed by the user, and feeds back the plastic surgery plan to the client;

The user terminal determines a first shaping scheme according to the shaping scheme, and sends the first shaping scheme to the server;

The server generates doctor information according to the big data information and the first plastic surgery scheme, and sends the doctor information to the user terminal for the user to select.

In the doctor-patient interaction method, wherein the server generates a plastic surgery plan according to the face model confirmed by the user, and feeds back the plastic surgery plan to the user terminal, which specifically includes:

The server compares and analyzes the face model confirmed by the user with the preset face model;

One or more sets of shaping solutions are generated according to the analysis results, and the shaping solutions are fed back to the user terminal.

The doctor-patient interaction method, wherein the user terminal determines a first shaping scheme according to the shaping scheme according to the user terminal, and sends the first shaping scheme to the server, specifically including:

The user terminal receives the user's shaping demand instruction, and selects a first shaping scheme that matches the user from the shaping schemes according to the shaping demand instruction;

The first shaping scheme is sent to the server.

The doctor-patient interaction method, wherein the server generates doctor information according to the big data information and the first plastic surgery plan, and sends the doctor information to the user terminal for selection by the user, which specifically includes:

The server determines the shaping part information according to the first shaping scheme, and compares the part information with the big data information;

The server generates doctor information related to the part information according to the comparison result, and sends the doctor information to the user terminal for the user to select.

The doctor-patient interaction method, wherein the doctor-patient interaction method further includes:

The user terminal receives the doctor information, and establishes communication with the doctor according to the doctor information.

The doctor-patient interaction method, wherein the doctor-patient interaction method further includes:

During the user's postoperative recovery period, the user terminal receives the user's face image in the recovery stage, and sends the face image in the recovery stage to the server;

The server compares and analyzes the face image with a preset expected restoration image, generates a restoration report for the user, and feeds back the restoration report to the user terminal.

The doctor-patient interaction method, wherein the doctor-patient interaction method further includes:

The server saves the data communicated online between the user and the doctor and the image data sent by the user.

In the doctor-patient interaction method, the doctor information further includes: the doctor, the hospital bound to the doctor, the medical disputes in the hospital in recent years, the successful cases of the doctor, the medical malpractice of the doctor, and the relationship between the hospital and the doctor of the online user. comment of.

A computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement any one of the above steps in the doctor-patient interaction method.

A doctor-patient interaction system, including a client and a server;

The client obtains the user's face image information and transmits it to the server, and the server generates a corresponding face model according to the face image information, and transmits it to the client for the user to confirm;

The server generates a plastic surgery plan according to the face model confirmed by the user, and feeds back the plastic surgery plan to the client;

The user terminal determines a first shaping scheme according to the shaping scheme, and sends the first shaping scheme to the server;

The server generates doctor information according to the big data information and the first plastic surgery scheme, and sends the doctor information to the user terminal for the user to select.

Beneficial effects: Compared with the prior art, the present invention provides a doctor-patient interaction method, system and storage medium. The method includes: the user terminal acquires the user's face image information and transmits it to the server, and the server according to the face image information Generate a corresponding face model and send it to the user for confirmation by the user; the server generates a plastic surgery plan according to the face model confirmed by the user, and feeds the plastic surgery plan to the user; the user determines the first plastic surgery plan according to the plastic surgery plan , and send the first shaping scheme to the server; the server generates doctor information according to the big data information and the first shaping scheme, and sends the doctor information to the user for selection by the user. The present invention can provide plastic surgery simulation plan and related doctor recommendation for beauty lovers, thereby eliminating the problem that beauty lovers are reluctant to go to beauty salons for on-site consultation due to privacy issues, and bringing convenience to users.

Description of drawings

FIG. 1 is a flowchart of a doctor-patient interaction method provided by the present invention.

FIG. 2 is a flowchart of step S200 in the doctor-patient interaction method provided by the present invention.

FIG. 3 is a flowchart of step S300 in the doctor-patient interaction method provided by the present invention.

FIG. 4 is a flowchart of step S400 in the doctor-patient interaction method provided by the present invention.

FIG. 5 is a schematic structural diagram of the doctor-patient interaction system provided by the present invention.

Detailed ways

The present invention provides a doctor-patient interaction method, system and storage medium. In order to make the purpose, technical solutions and effects of the present invention clearer and clearer, the present invention is further described below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

It will be understood by those skilled in the art that the singular forms "a", "an", "the" and "the" as used herein can include the plural forms as well, unless expressly stated otherwise. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of stated features, integers, steps, operations, elements and/or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components and/or groups thereof. It will be understood that when we refer to an element as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Furthermore, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combination of one or more of the associated listed items.

It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms, such as those defined in a general dictionary, should be understood to have meanings consistent with their meanings in the context of the prior art and, unless specifically defined as herein, should not be interpreted in idealistic or overly formal meaning to explain.

This implementation provides a doctor-patient interaction method, as shown in FIG. 1 , the method may include the following steps:

S100: The client obtains the user's face image information and transmits it to the server, and the server generates a corresponding face model according to the face image information, and transmits it to the client for confirmation by the user.

Specifically, the user terminal is a terminal device loaded with 3D modeling software, and the 3D modeling software can collect facial data more accurately, and simulate it into a more accurate 3D facial model for plastic surgery simulation. For example, Autodesk 123Dcatch, medical AI, Faceunity and other 3D modeling software. Therefore, the user terminal is also equipped with 3D and 2D cameras, and the user's facial image information is collected by the camera to establish his own face model (face model). In this embodiment, the user can bring his face close to the machine (ie, the user terminal device), after obtaining face data through the camera, it will generate a 3D model of the face, and then follow up with the 3D model to perform facial shaping. Moreover, since the usual face model is flat and inaccurate, the 3D model can be closer to reality. It is understandable that the process of building a 3D model from the user's face image can be carried out on the user side, of course. When the face image is collected, it is modeled on the server or the cloud and then transmitted to the client. If the latter solution is adopted, the operating resources of the client device can be saved. Here, it can be arbitrarily set according to the needs of the developer. limited. When collecting the user's face image, the image information of the front, left and right sides of the user needs to be collected, and the collected images need to be unified, that is, the angle and facial expression during collection need to be consistent, so as to ensure the accuracy of the synthesized face 3D model. sex. Therefore, the collected facial data will be pre-judged, and the unqualified facial image information will be required to be re-collected by the user. The synthesized 3D image will be sent to the client, and the user will proceed to the next step after confirmation.

S200. The server generates a plastic surgery scheme according to the face model confirmed by the user, and feeds back the plastic surgery scheme to the client.

Specifically, after receiving the user's face model, the server will compare it with the big data of the user's face model, so as to obtain one or more sets of plastic surgery schemes and present the reconstructed face model. Correspondingly, as shown in the figure 2 is a flowchart of step S200 in the doctor-patient interaction method provided by the present invention, and the server generates a plastic surgery plan according to the face model confirmed by the user, and feeds back the plastic surgery plan to the user, including:

S201, the server compares and analyzes the face model confirmed by the user and a preset face model;

S202. Generate one or more sets of shaping solutions according to the analysis results, and feed back the shaping solutions to the user terminal.

Specifically, the preset face model is the big data of the user's face model. By comparing and analyzing the face model confirmed by the user with the preset face model, one set or more can be obtained. Set of plastic surgery programs, for example, you can compare facial proportions, eye size, lip thickness, etc., you can also analyze the user's facial features (facial proportions, three courts and five eyes) (follow up the golden ratio for comparative analysis), and output multiple sets of shaping program.

Further, the plastic surgery scheme may be adjusted only for the eyes, or may be adjusted for the whole, etc., and the server will also generate a plastic-shaped face model, and send the plastic-shaped face model To the user end, so that the user can intuitively see the appearance after shaping. In this embodiment, the server side can also classify and sort the generated shaping scheme according to the degree of modification of the face, that is, the present invention can classify the shaping of each part; Beauty lovers choose for themselves.

S300. The user terminal determines a first shaping scheme according to the shaping scheme, and sends the first shaping scheme to the server.

Specifically, the user can input his own plastic surgery requirements on the user terminal, and the user terminal can select the plastic surgery scheme he intends according to the plastic surgery requirements of the user. Correspondingly, as shown in FIG. 3 , FIG. 3 is In the flowchart of step S300 in the doctor-patient interaction method provided by the present invention, the user terminal determines a first shaping scheme according to the shaping scheme according to the user terminal, and sends the first shaping scheme to the server, which specifically includes:

S301. The user terminal receives a user's shaping demand instruction, and selects a first shaping scheme that matches the user from the shaping schemes according to the shaping demand instruction;

S302. Send the first shaping scheme to the server.

Specifically, the plastic surgery demand instruction refers to the triggering instruction of the user's plastic surgery demand, that is to say, the user's plastic surgery demand can be manually input by the user or selected from the preset plastic surgery options, so that it can be displayed in the displayed Perform filtering in the shaping scheme of the user to obtain the first shaping scheme that matches the user, wherein the first shaping scheme is the shaping scheme that the user has actual needs, that is to say, the first shaping scheme includes the user has a demand. Information on the relevant parts of the plastic surgery. Further, after the user terminal determines the first shaping scheme, it will be sent to the server, so that the server can feed back information such as relevant hospitals and doctors that the user is qualified for.

S400. The server generates doctor information according to the big data information and the first plastic surgery scheme, and sends the doctor information to the user terminal for the user to select.

Specifically, the big data information is stored on the server, and by cooperating with various plastic surgery hospitals, the information and cases of doctors who have performed plastic surgery programs are collected. Correspondingly, as shown in FIG. 4 , FIG. 4 is the medical treatment provided by the present invention. The flowchart of step S400 in the patient interaction method, the server generates doctor information according to the big data information and the first plastic surgery plan, and sends the doctor information to the user terminal for the user to select, specifically including:

S401. The server determines the plastic part information according to the first scheme, and compares the part information with big data information;

S402. The server generates doctor information related to the part information according to the comparison result, and sends the doctor information to the user terminal for the user to select.

Specifically, after the server receives the user's first plastic surgery plan, it will determine the plastic surgery part information according to the first plan, and compare the part information with the big data information, so as to generate and recommend plastic surgery for these parts. Physicians with senior experience and fee plans, and showcase the success stories of physicians. Optionally, it includes showing the hospital bound by the doctor, showing the hospital's medical disputes and the doctor's medical malpractice in recent years, and online users' comments on the hospital and the doctor.

Further, in an implementation manner of this embodiment, the doctor-patient interaction method further includes:

S500. The user terminal receives the doctor information, and establishes communication with the doctor according to the doctor information.

Specifically, the user can book a doctor online according to the recommended doctor, and the system displays the current number of appointments for the doctor, the user's queuing number, and a list of expected surgical arrangements. In this embodiment, the user can select a corresponding doctor to communicate online. Doctors and users can communicate and advise on plastic surgery plans online. Further, after the communication between the doctor and the user, the doctor provides the final plan, plan prediction, and risk assessment. If the patient agrees and confirms that the hospital can arrange it, the deposit can be paid, and the operation period and plastic surgery can be confirmed.

Further, in an implementation manner of this embodiment, the doctor-patient interaction method further includes:

S600. During the user's postoperative recovery period, the user terminal receives the user's face image in the recovery stage, and sends the face image in the recovery stage to the server;

S700. The server compares and analyzes the face image with a preset expected restoration image, generates a restoration report for the user, and feeds back the restoration report to the user terminal.

Specifically, the user recovery stage can be divided into three stages, including the early stage, the middle stage, and the later stage of plastic surgery recovery. Of course, it can also be divided into different numbers of stages according to actual needs, which is not limited here; the preset expected recovery image It includes the images expected to be recovered at each stage, which is calculated by calculating the ratio of the expected final effect and the current effect according to the recovery degree of the beauty lovers at each stage who have undergone plastic surgery in the past. In this embodiment, taking the early stage, middle stage and later stage of plastic surgery restoration as examples, the user can upload the face image of his own restoration stage at each stage, and the server will match the preset expected restoration image with the face image after receiving the face image. Compare and analyze the recovery report, and then the server will send the analysis report to the client, wherein the analysis report includes the similarity between the current plastic part and the expected recovery degree, and the expected recovery time according to past experience. How long to wait for information. Of course, it is understandable that during the recovery period of the user, if the user has any doubts about the degree of his recovery, he can communicate with the doctor, upload pictures and other information, and the doctor will make a diagnosis and give feedback to the user. Proceed to full recovery of the user.

Further, in this embodiment, the doctor-patient interaction method further includes: the server saves the online communication data between the user and the doctor and the image data sent by the user. In this way, through online communication after surgery, through online transmission of photos and other operations, the state of the recovery period is communicated with the doctor online, and the doctor provides advice, which solves the problem that patients should not move around after surgery, and the whole process of online communication, whether the doctor or the lover Meiji users have records to check, which can be used as evidence of doctor-patient disputes.

Through the 3D plastic surgery simulation technology, the invention can first let the beauty lovers see the appearance after surgery; online recommendation of relevant qualified doctors can solve the problem of beauty lovers finding a doctor; online communication can solve the problem of beauty lovers due to The privacy issue is because of face, and dare not go to the hospital on the spot; postoperative recovery communication and follow-up can solve the problem of the recovery status of beauty lovers after surgery.

Based on the above doctor-patient interaction method, this embodiment provides a computer-readable storage medium, where one or more programs are stored in the computer-readable storage medium, and the one or more programs can be executed by one or more processors is executed to implement the steps in the video encoding method described in the foregoing embodiment, or to realize the steps in the doctor-patient interaction method described in the foregoing embodiment.

Based on the above doctor-patient interaction method, the present invention also provides a doctor-patient interaction system, as shown in FIG. 2 , which includes: a client 100 and a server 200;

The client 100 acquires the user's face image information and transmits it to the server 200, and the server 200 generates a corresponding face model according to the face image information, and transmits it to the client 100 for the user to confirm;

The server 200 generates a plastic surgery plan according to the face model confirmed by the user, and feeds back the plastic surgery plan to the client 100;

The client 100 determines a first shaping scheme according to the shaping scheme, and sends the first shaping scheme to the server 200;

The server 200 generates doctor information according to the big data information and the first plastic surgery scheme, and sends the doctor information to the client 100 for the user to select.

In summary, the present invention discloses a doctor-patient interaction method, system and storage medium. The method includes: a user terminal acquires the user's face image information and transmits it to a server, and the server generates a corresponding face model according to the face image information, Send it to the client for confirmation by the user; the server generates a plastic surgery scheme according to the face model confirmed by the user, and feeds back the plastic surgery scheme to the client; the client determines the first plastic surgery scheme according to the The shaping scheme is sent to the server; the server generates doctor information according to the big data information and the first shaping scheme, and sends the doctor information to the client for selection by the user. The present invention can provide plastic surgery simulation plan and related doctor recommendation for beauty lovers, thereby eliminating the problem that beauty lovers are reluctant to go to beauty salons for on-site consultation due to privacy issues, and bringing convenience to users.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still be The technical solutions described in the foregoing embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A doctor-patient interaction method, the method comprising:

the user side acquires face image information of a user and transmits the face image information to the server, and the server generates a corresponding face model according to the face image information and transmits the face model to the user side for the user to confirm;

the server generates a shaping scheme according to the face model confirmed by the user and feeds the shaping scheme back to the user side;

the user side determines a first shaping scheme according to the shaping scheme and sends the first shaping scheme to a server;

and the server generates doctor information according to the big data information and the first shaping scheme, and sends the doctor information to the user side for selection by the user.

2. The doctor-patient interaction method according to claim 1, wherein the server generates a shaping scheme according to the face model confirmed by the user, and feeds back the shaping scheme to the user side specifically comprises:

the server compares and analyzes the face model confirmed by the user with a preset face model;

and generating one or more shaping schemes according to the analysis result, and feeding back the shaping schemes to the user side.

3. The doctor-patient interaction method according to claim 2, wherein the determining, by the user side, a first shaping scheme according to the shaping scheme by the user side, and the sending the first shaping scheme to the server specifically includes:

a user side receives a shaping demand instruction of a user, and a first shaping scheme matched with the user is screened out from the shaping schemes according to the shaping demand instruction;

and sending the first shaping scheme to a server.

4. The doctor-patient interaction method according to claim 1, wherein the server generates doctor information according to big data information and the first shaping scheme, and sends the doctor information to the user side for selection by the user specifically comprises:

the server determines shaping part information according to the first shaping scheme, and compares the part information with big data information;

and the server generates doctor information related to the part information according to the comparison result and sends the doctor information to the user side for selection by the user.

5. The doctor-patient interaction method as claimed in claim 1, further comprising:

and the user side receives the doctor information and establishes communication with a doctor according to the doctor information.

6. The doctor-patient interaction method as claimed in claim 1, further comprising:

in a post-operation recovery period of a user, a user side receives a face image in a user recovery period and sends the face image in the recovery period to a server;

and the server compares and analyzes the face image with a preset predicted recovery image, generates a recovery report of the user and feeds the recovery report back to the user side.

7. The doctor-patient interaction method as claimed in claim 1, further comprising:

the server end stores the data of the online communication between the user and the doctor and the image data sent by the user end.

8. The doctor-patient interaction method of claim 1, wherein the doctor information further comprises: doctors, hospitals to which doctors are bound, medical dispute conditions in recent years in hospitals, the success of doctors, medical accidents of doctors and comments of online users to the hospitals and doctors.

9. A computer readable storage medium, storing one or more programs, which are executable by one or more processors to implement the steps in the doctor-patient interaction method according to any one of claims 1 to 8.

10. A doctor-patient interaction system is characterized by comprising a user side and a server;

the user side acquires face image information of a user and transmits the face image information to the server, and the server generates a corresponding face model according to the face image information and transmits the face model to the user side for the user to confirm;

the server generates a shaping scheme according to the face model confirmed by the user and feeds the shaping scheme back to the user side;

the user side determines a first shaping scheme according to the shaping scheme and sends the first shaping scheme to a server;

and the server generates doctor information according to the big data information and the first shaping scheme, and sends the doctor information to the user side for selection by the user.

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