CN111403053A - Doctor-patient interaction method, system and storage medium - Google Patents
Doctor-patient interaction method, system and storage medium Download PDFInfo
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- CN111403053A CN111403053A CN202010167250.XA CN202010167250A CN111403053A CN 111403053 A CN111403053 A CN 111403053A CN 202010167250 A CN202010167250 A CN 202010167250A CN 111403053 A CN111403053 A CN 111403053A
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- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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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
Technical Field
The invention relates to the technical field of medical treatment, in particular to a doctor-patient interaction method, a doctor-patient interaction system and a storage medium.
Background
With the continuous progress of society, the rapid development of economy and the continuous improvement of the quality of people, the medical beauty treatment industry is more and more popular with beauty lovers. However, many beauty lovers have the problem of blindness in face-lifting, do not know which face-lifting schemes are really suitable for themselves, and are reluctant to go to beauty parlors for consultation on site due to privacy problems, worry about doctor level and the like, and are worried about unavailable doctors suitable for themselves.
Disclosure of 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 defects of the prior art.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a doctor-patient interaction method, wherein the method comprises:
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 doctor-patient interaction method is characterized in that the server generates a shaping scheme according to a face model confirmed by a user and feeds the shaping scheme back to the user side specifically comprises the following steps:
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.
The doctor-patient interaction method, wherein the user side determines a first shaping scheme according to the shaping scheme and sends the first shaping scheme to a 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.
The doctor-patient interaction method includes the steps that the server generates doctor information according to big data information and the first shaping scheme, and sends the doctor information to a user side for a user to select:
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.
The doctor-patient interaction method further comprises the following steps:
and the user side receives the doctor information and establishes communication with a doctor according to the doctor information.
The doctor-patient interaction method further comprises the following steps:
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.
The doctor-patient interaction method further comprises the following steps:
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.
The doctor-patient interaction method comprises the following steps of: 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.
A computer readable storage medium, wherein the computer readable storage medium stores one or more programs, which are executable by one or more processors to implement the steps in the doctor-patient interaction method as described in any one of the above.
A doctor-patient interaction system comprises 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.
Has the advantages that: compared with the prior art, the invention provides 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.
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 a doctor-patient interaction system provided by the invention.
Detailed Description
The invention provides a doctor-patient interaction method, a doctor-patient interaction system and a storage medium, and in order to make the purpose, technical scheme and effect of the invention clearer and clearer, the invention is further described in detail below by referring to the attached drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude 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 an element is referred to 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. Further, "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 combinations 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 will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The present implementation provides a doctor-patient interaction method, as shown in fig. 1, which may include the following steps:
s100, the user side acquires face image information of the 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.
Specifically, the user side is a terminal device loaded with 3D modeling software, and the 3D modeling software can acquire facial data more accurately and simulate the facial data into a more accurate 3D facial model for shaping simulation. For example, Autodesk 123 Dpatch, medical AI, Faceunity, etc. 3D modeling software. Therefore, the user side is further provided with 3D and 2D cameras, facial image information of the user is collected through the cameras, a face model (a human face model) of the user is built, in the embodiment, the user can enable the face to be close to a machine (namely, user side equipment), the 3D model of the face can be generated after the face data is obtained through the cameras, and then the 3D model is followed to carry out facial shaping. Moreover, since a general face model is planar and not accurate, the three-dimensional model can be closer to reality, and it can be understood that the process of establishing the three-dimensional model through the face image of the user can be performed on the user side, and certainly, the three-dimensional model can be transmitted to the user side after the face image is acquired and then modeled by a server or a cloud, if the latter scheme is adopted, the running resources of the user side equipment can be further saved, and the setting can be arbitrarily performed according to the requirements of developers, which is not limited by the invention. When the facial image of the user is collected, the front, the left and the right image information of the user need to be collected, and the collected images need to be unified, namely, the angle and the facial expression during collection need to be kept consistent, so that the accuracy of the synthesized facial three-dimensional model can be ensured. Therefore, the collected face data is predicted, and the unqualified face image information requires the user to collect again. The synthesized three-dimensional image is transmitted to a user side, and the user confirms the image and then performs the next operation.
S200, 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.
Specifically, after receiving the face model of the user, the server compares the face model with big data of the face model of the user to obtain one or more sets of shaping schemes and present the shaped face model, and accordingly, as shown in fig. 2, fig. 2 is a flowchart of step S200 in the doctor-patient interaction method provided by the present invention, where the server generates the shaping scheme according to the face model confirmed by the user and feeds back the shaping scheme to the user side specifically includes:
s201, the server compares and analyzes the face model confirmed by the user with a preset face model;
s202, generating one or more shaping schemes according to the analysis result, and feeding back the shaping schemes to the user side.
Specifically, the preset face model is big data of a user face model, and the face model confirmed by the user is compared and analyzed with the preset face model, so that one or more sets of shaping schemes can be obtained, for example, facial proportions, eye sizes, lip thicknesses and the like can be compared, facial features (facial proportions and three-family five-eye) of the user can be analyzed (comparison and analysis are performed following the golden proportion), and a plurality of sets of shaping schemes are output.
Further, the shaping scheme may be that only the eyes are adjusted, or the whole is adjusted, and the like, and the server may also generate a shaped face model and send the shaped face model to the user side, so that the user can visually see the shaped pattern. In this embodiment, the server may also sort the generated shaping schemes according to the degree of the face modification, that is, the present invention may sort the shaping of each part; the sorting is the sorting of the size of the shaping degree, and can be selected by the lovers.
S300, the user side determines a first shaping scheme according to the shaping scheme and sends the first shaping scheme to a server.
Specifically, a user may input a shaping requirement of the user at a user side, and the user side may filter an intentional shaping scheme from the shaping schemes according to the shaping requirement of the user, and accordingly, as shown in fig. 3, fig. 3 is a flowchart of step S300 in the doctor-patient interaction method provided by the present invention, where the determining, by the user side, a first shaping scheme according to the shaping scheme by the user side, and sending the first shaping scheme to the server specifically includes:
s301, 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;
s302, the first shaping scheme is sent to a server.
Specifically, the shaping requirement instruction refers to a triggering instruction of a shaping requirement of a user, that is, the shaping requirement of the user may be manually input by the user or selected from preset shaping options, so that filtering may be performed in a displayed shaping scheme to obtain a first shaping scheme matched with the user, where the first shaping scheme is a shaping scheme that the user actually needs, that is, the first shaping scheme includes information about a part of the user that needs to be shaped. Further, after the first shaping scheme is determined at the user side, the first shaping scheme is sent to the server, so that the server can feed back information such as qualified relevant hospitals and doctors to the user.
S400, 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, the big data information is stored in the server, and the doctor information and the cases of which shaping schemes have been performed are collected through cooperation with each shaping hospital, accordingly, as shown in fig. 4, fig. 4 is a flowchart of step S400 in the doctor-patient interaction method provided by the present invention, and the server generates the doctor information according to the big data information and the first shaping scheme, and sends the doctor information to the user terminal for the user to select specifically includes:
s401, the server determines shaping 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 side for selection.
Specifically, after the server receives a first shaping scheme of a user, shaping part information is determined according to the first scheme, and the part information is compared with big data information, so that doctors with high experience in shaping the parts and charging schemes can be generated and recommended, and successful cases of the doctors are displayed. Optionally, the method includes displaying hospitals bound by doctors, displaying medical dispute conditions of the hospitals in recent years and medical accidents of the doctors, and commenting the hospitals and the doctors by online users.
Further, in an implementation manner of this embodiment, the doctor-patient interaction method further includes:
s500, the user side receives the doctor information and establishes communication with a doctor according to the doctor information.
Specifically, the user can reserve doctors on line according to recommended doctors, and the system displays the number of reserved doctors currently, the queue number of the user and a predicted operation arrangement list. In this embodiment, the user may select a corresponding doctor for online communication. The doctor and the user can communicate and suggest the shaping scheme on line. Further, after the doctor and the user communicate, the doctor provides a final plan and plan prediction, risk assessment, and if the patient agrees, confirms that the hospital can arrange, pay a fixed fee, and confirm the operative period and perform plastic surgery.
Further, in an implementation manner of this embodiment, the doctor-patient interaction method further includes:
s600, in a user postoperative recovery period, a user side receives a face image in a user recovery stage and sends the face image in the recovery stage to a server;
s700, 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.
Specifically, the user recovery stage may be divided into three stages, including an early stage, a middle stage and a later stage of the face-lifting recovery, and of course, the user recovery stage may also be divided into different numbers of stages according to actual needs, which are not limited herein; the preset predicted recovery image comprises images predicted to be recovered in each stage, and the predicted final effect and the current effect are calculated according to the recovery degree of each stage of the beauty lovers who have performed plastic surgery in the past. In this embodiment, taking the early stage, the middle stage and the late stage of the face-lifting recovery as an example, a user may upload a face image of a recovery stage at each stage, the server may compare the face image with a preset predicted recovery image after receiving the face image, and obtain a recovery report analysis, and then the server may send the analysis report to a user side, where the analysis report includes information about how similar the current shaping portion is to the predicted recovery degree, how long the recovery time is predicted according to past experience, and the like. It can be understood that, during the post-operation recovery period of the user, if the user has a doubtful degree of recovery, the user can communicate with the doctor, upload information such as pictures and the like, diagnose by the doctor and feed back the information to the user, and the communication can be carried out until the user completely recovers.
Further, in this embodiment, the doctor-patient interaction method further includes: 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. Therefore, through the on-line communication after the operation, the operation of transmitting photos and the like on line, the doctor can communicate the state of the recovery period on line with the doctor, and the doctor provides suggestions, so that the problem that the patient cannot walk everywhere after the operation is solved, and the doctor or the beauty lover can check the records of the communication on line in the whole process, and can be used as the evidence of doctor-patient disputes.
According to the invention, through a 3D shaping simulation technology, a beauty lover can see the appearance after operation; the problem that the lovers are difficult to find doctors can be solved by recommending doctors with related calendars on line; the online communication can solve the problem that beauty lovers are dare to go to a hospital on site due to the fact that privacy is affected; the communication follow-up after the operation can solve the problem of the recovery state of the lovers after the operation.
Based on the doctor-patient interaction method, the embodiment provides a computer-readable storage medium, where one or more programs are stored, and the one or more programs are executable by one or more processors to implement the steps in the video coding method according to the above embodiment or the steps in the doctor-patient interaction method according to the above embodiment.
Based on the doctor-patient interaction method, the invention also provides a doctor-patient interaction system, as shown in fig. 2, which includes: a user terminal 100 and a server 200;
the user terminal 100 acquires face image information of a user and transmits the face image information to the server 200, and the server 200 generates a corresponding face model according to the face image information and transmits the face model to the user terminal 100 for confirmation by the user;
the server 200 generates a shaping scheme according to the face model confirmed by the user, and feeds back the shaping scheme to the user terminal 100;
the user terminal 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 shaping scheme, and transmits the doctor information to the user terminal 100 for selection by the user.
In summary, the invention discloses a doctor-patient interaction method, a 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.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will 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; and such modifications or substitutions do not depart from the spirit and scope of the corresponding 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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| CN112133453A (en) * | 2020-09-16 | 2020-12-25 | 成都美透科技有限公司 | User consultation auxiliary analysis system based on medical and American data and medical data |
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