CN115641969A - Internet hospital platform and doctor-patient online communication method - Google Patents
Internet hospital platform and doctor-patient online communication method Download PDFInfo
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- CN115641969A CN115641969A CN202211409318.6A CN202211409318A CN115641969A CN 115641969 A CN115641969 A CN 115641969A CN 202211409318 A CN202211409318 A CN 202211409318A CN 115641969 A CN115641969 A CN 115641969A
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Abstract
The invention relates to the technical field of medical platforms, in particular to an internet hospital platform and a doctor-patient online communication method, wherein the platform comprises a patient end, a doctor end and a control platform, and the control platform comprises: the receiving module is used for receiving disease description information of the patient end; the first reasoning module is used for reasoning the disease description information input model to obtain reply information; the reply module is used for returning to the patient end according to the reply information; the receiving module is also used for receiving the fine description information corresponding to the reply information from the patient end; the control platform further comprises: the second reasoning module is used for inputting the disease condition description information and the fine description information into the second model to carry out reasoning to obtain a plurality of patient disease condition labels; the matching module is used for matching the doctor identity information according to the patient condition labels of the plurality of patients; and the communication establishing module is used for establishing communication between the patient end and the doctor end. The invention has the effects of reducing the doctor-patient inquiry cost and improving the inquiry efficiency.
Description
Technical Field
The invention relates to the technical field of medical platforms, in particular to an internet hospital platform and a doctor-patient online communication method.
Background
Along with the continuous development of social economy, the demand of people on the living standard of materials is continuously improved, but long-time work can threaten the health of people, and people are continuously increasing health consciousness, but nowadays, the main means of people on diseases is still to go to hospitals for inquiry, patients need to be registered, the registration channel is on-line and off-line, and on-line, the patients need to open the public account of the WeChat of the hospitals before seeing a doctor, and the reservation or registration is completed after registration. Then waiting and queuing in a hospital, entering a consulting room to communicate the state of the illness with a doctor when the doctor arrives, and writing the chief complaint, the current medical history and the past history of the patient into a hospital device by inquiring the state of the illness. Therefore, a large amount of inquiry time of doctors is consumed, and a convenient medical inquiry system is urgently needed.
The bulletin board is CN111276262A discloses a medical inquiry system, including patient end, doctor end and backstage management module, backstage management module includes management module, chat module and storage module, the patient end is used for storing patient information in storage module, the doctor end is used for storing doctor information in storage module, the patient end still is used for arranging and showing doctor information, doctor information is other to be provided with the consultation button, chat module starts after the consultation button is triggered, chat module is patient and doctor's chat platform, chat module is used for storing chat record in storage module, patient information that corresponds in the patient end after chat module is triggered is sent to the doctor end, the doctor end can show relevant patient information, management module is used for managing patient end and doctor end, storage module is used for storing patient information, doctor information and chat record.
However, the system still has high communication cost between doctors and patients, and the patients have word inadequacy or unclear description, so the system is still to be improved.
Disclosure of Invention
In order to reduce doctor-patient inquiry cost and improve inquiry efficiency, the invention provides an internet hospital platform and a doctor-patient online communication method.
The above object of the present invention is achieved by the following technical solutions:
an internet hospital platform comprising a patient side, a physician side and a control platform, the control platform comprising:
the receiving module is used for receiving disease description information of a patient end, and the input information carries patient identity identification information;
the first reasoning module is used for reasoning the disease description information input model to obtain reply information;
the reply module is used for returning to the patient end according to the reply information;
the receiving module is further used for receiving fine description information corresponding to the reply information from the patient side;
the control platform further comprises:
the second reasoning module is used for inputting the disease condition description information and the fine description information into a second model for reasoning to obtain a plurality of patient disease condition labels;
the matching module is used for matching doctor identity information as doctor information to be scheduled according to the patient condition labels, and the doctor identity information is associated with a doctor end;
and the communication establishing module is used for establishing communication between the patient end and the doctor end associated with the doctor identity information.
By adopting the technical scheme, the patient submits the disease condition description information at the patient end, the control platform analyzes the disease condition description information, appropriate reply information is further matched to the patient, the patient communicates according to the reply information again, finally the control platform analyzes according to all the description information to obtain related labels related to the disease condition of the patient, the appropriate doctor identity identification information is matched based on the labels, the appropriate doctor is linked with the patient, the doctor-patient inquiry cost can be reduced, and the inquiry efficiency is improved.
The present invention in a preferred example may be further configured to: the doctor identity information is associated with a plurality of doctor feature tags;
the matching module includes:
the sorting unit is used for sorting the doctor identification information according to the quantity of the doctor characteristic labels which are associated with the doctor identification information and are the same as the patient condition labels of the patients from at least one quantity to obtain a doctor sequence table;
and the arrangement unit is used for taking the doctor identification information ranked first in the doctor sequence list as the information of the doctor to be arranged.
By adopting the technical scheme, the most appropriate doctor and patient can be selected for communication diagnosis.
The present invention in a preferred example may be further configured to: the arranging unit includes:
the first arrangement subunit is used for taking the doctor identification information with the least associated doctor feature labels as the information of the doctors to be arranged under the condition that a plurality of pieces of first-ranked doctor identification information exist.
By adopting the technical scheme, the correlated characteristic labels of doctors with the same rank are the least, so that the work is dedicated, the matched patients are relatively few, and the medical resources can be fully utilized.
The present invention in a preferred example may be further configured to: the communication establishing module comprises a selecting unit, wherein the selecting unit is used for sending a plurality of doctor information to be arranged to the patient end under the condition that the plurality of doctor information to be arranged exist, and selecting the doctor end related to the corresponding doctor information to be arranged according to the selecting information returned by the patient end to establish communication with the patient end.
By adopting the technical scheme, a doctor can be determined according to the selection of a patient.
The invention in a preferred example may be further configured to: the first model is obtained by training in the following way:
labeling each disease condition description information sample in the disease condition description information sample training set to label the reply information of each disease condition description information, wherein the reply information is associated with all or part of information in the disease condition description information sample; training the neural network through the labeled disease description information sample training set to obtain a first model;
the reply information is obtained from historical communication dialogue information, and the historical communication dialogue information is the on-line communication dialogue information of the patient and the doctor in the past.
By adopting the technical scheme, the corresponding reply information is obtained in a model reasoning mode, and the real question-answer chat environment can be provided for the patient, so that the patient is guided to explain the disease condition of the patient.
The invention in a preferred example may be further configured to: the second model is obtained by training in the following way:
labeling each descriptive information sample in the descriptive information sample training set to label a patient condition label of each descriptive information, wherein the patient condition label is associated with all or part of information in the descriptive information sample; training the neural network through the description information sample training set subjected to labeling processing to obtain a first model;
patient condition labels include disease type, severity, direction of change, and complications.
By adopting the technical scheme, the patient condition label is obtained by a model reasoning mode, and the reasoning is more accurate along with the increase of training samples.
The present invention in a preferred example may be further configured to: the disease condition description information comprises voice information and character information.
By adopting the technical scheme, the method and the device can be suitable for different input modes of patients.
The second aim of the invention is realized by the following technical scheme:
a doctor-patient online communication method comprises the following steps:
receiving disease description information of a patient end, wherein the input information carries patient identity information;
reasoning is carried out on the disease condition description information input model to obtain reply information;
returning the reply information to the patient end according to the reply information;
receiving fine description information corresponding to the reply information from the patient side;
inputting the disease condition description information and the fine description information into a second model for reasoning to obtain a plurality of patient disease condition labels;
matching doctor identity identification information according to the patient condition labels, wherein the doctor identity identification information is associated with a doctor end;
and establishing communication between the patient side and the doctor side.
In summary, the invention at least comprises the following beneficial technical effects:
the patient submits disease description information at the patient end, the control platform analyzes the disease description information, appropriate reply information is matched to the patient, the patient communicates according to the reply information again, the control platform analyzes according to all the description information to obtain relevant labels related to the patient's disease, and the appropriate doctor is linked with the patient based on the labels matching appropriate doctor identification information, so that the doctor-patient inquiry cost can be reduced, and the inquiry efficiency can be improved; the doctor who is ranked the same has the least associated feature labels, so the doctor is dedicated to the same thing, the matched patients are relatively few, the medical resources can be fully utilized, the corresponding reply information can be obtained through a model reasoning mode, the real question-answer chat environment can be provided for the patients, and then the patients can be guided to explain the disease conditions.
Drawings
FIG. 1 is a schematic diagram illustrating the connection of the modules of an Internet hospital platform according to an embodiment of the present application;
fig. 2 is a flowchart illustrating an implementation of the doctor-patient online communication method according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It should be noted that the terms "first", "second", etc. in the present invention are used for distinguishing similar objects, and are not necessarily used for describing a particular order or sequence. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in other sequences than those illustrated or described herein. The implementations described in the exemplary embodiments below do not represent all implementations consistent with the present disclosure.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: 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, unless otherwise specified.
Fig. 1 is a schematic connection diagram of modules of an internet hospital platform in an embodiment of the present application, as shown in fig. 1, the internet hospital platform includes a patient side, a doctor side, and a control platform, and communication connections among the patient side, the doctor side, and the control platform are preferably implemented by wireless communication, for example, loRa technology, [ WiFi/IEEE 802.11 ] protocol, [ ZigBee/802.15.4 ] protocol, [ Thread/IEEE 802.15.4 ] protocol, [ Z-Wave ] protocol, and the like. The patient end is equipped with in the patient side, and the doctor end is equipped with in the doctor side, and patient end and doctor end can be installed in intelligent terminal, and this terminal can be electronic equipment such as cell-phone, panel computer, wearable equipment, vehicle-mounted terminal. After the patient end logs in by the patient, the patient end is related to the patient identification information, and after the doctor logs in the doctor end, the doctor identification information of the doctor is related to the doctor end.
The control platform comprises a receiving module, a first reasoning module, a reply module, a second reasoning module, a matching module and a communication establishing module.
The receiving module is used for receiving disease description information of a patient end, and the disease description information carries patient identity identification information.
The doctor identification information is associated with a plurality of doctor feature tags. The physician characterization tags may be: the doctor characteristic labels can be selected by a doctor from an existing label library for marking, and can also be marked by patient evaluation.
Disease description information such as self disease description of a patient, the disease description information comprises voice information and character information, and when the disease description information is voice information, the voice information can be converted into character information through a voice-to-character conversion control, and the disease description information comprises 'heaven heat, chest distress, cough and numbness of both hands, facial numbness, severe points such as stomach contraction, tongue numbness, foot numbness, sweating but not knowing whether sweating is virtual sweat, feeling well under cold air of an air conditioner, feeling as normal, electrocardiogram, blood test and normal, and a specialist is asked to see a countercurrant'; "three years old daughter, last week one cough and rhinorrhea, hospital examination says mycoplasma infection (report a single picture), and it is better that the azithromycin granule has eaten three days, but starts to cough and rhinorrhea after two days, ask doctor how to treat next" and so on.
The first reasoning module is used for reasoning the disease description information input model to obtain reply information; specifically, the first model is obtained by training in the following way:
labeling each disease condition description information sample in the disease condition description information sample training set to label the reply information of each disease condition description information, wherein the reply information is associated with all or part of information in the disease condition description information sample; training the neural network through the labeled disease description information sample training set to obtain a first model; the reply information is obtained from historical communication dialogue information, and the historical communication dialogue information is the on-line communication dialogue information of the patient and the doctor in the past. For example, doctors and patients communicate with each other through other conventional platforms, and intercept descriptions and interactive communications of medical conditions, and then use the intercepted contents as samples of information describing the medical conditions, and intercept part of the doctors' information in the descriptions and interactive communications of the medical conditions as reply information.
The reply module is used for returning to the patient end according to the reply information; specifically, the inferred reply information may be multiple pieces, and is sent to the patient side together.
The receiving module is further used for receiving fine description information corresponding to the reply information from the patient end;
the second reasoning module is used for inputting the disease condition description information and the fine description information into a second model for reasoning to obtain a plurality of patient disease condition labels; wherein the second model is trained by:
labeling each description information sample in the description information sample training set to label a patient illness state label of each description information, wherein the patient illness state label is associated with all or part of information in the description information sample; training the neural network through the labeled description information sample training set to obtain a first model; patient condition labels may include, among other things, the type of disease, severity, direction of change, complications, and the like.
The matching module is used for matching doctor identity information as doctor information to be scheduled according to the patient condition labels, and the doctor identity information is associated with a doctor end;
in the invention, the matching module comprises a sorting unit and an arranging unit. The sorting unit is used for sorting at least one piece of doctor identity information according to the number of the doctor feature labels which are associated with the doctor identity information and are the same as the patient condition labels of the multiple patients to obtain a doctor sequence list; the arrangement unit is used for taking the doctor identification information ranked first in the doctor sequence list as the information of the doctor to be arranged.
For example, if the doctor feature tags associated with the doctor id information of a doctor have 5 doctor feature tags that are the same as the patient condition tags of the patients and are the same as the patient condition tags, and the number of the doctor feature tags is the largest among all the doctor id information, the doctor id information of the doctor is used as the to-be-scheduled doctor information.
The arrangement unit further comprises a first arrangement subunit, configured to, in a case where there are a plurality of first ranked doctor identification information, use the doctor identification information with the least associated doctor feature tag as the to-be-arranged doctor information.
For example, if there are 3 pieces of doctor identification information ranked first in parallel, where one piece of doctor identification information has 8 doctor feature tags, one piece of doctor identification information has 5 doctor feature tags, and one piece of doctor identification information has 6 doctor feature tags, the doctor identification information whose associated doctor feature tags are 5 pieces of doctor identification information is used as the information of the doctor to be arranged.
The communication establishing module is used for establishing communication between the patient end and the doctor end related to the doctor identification information, specifically, establishing communication connection between the patient end and the doctor end, and displaying an interactive chat interface for information input and interaction.
The communication establishing module comprises a selecting unit, wherein the selecting unit is used for sending a plurality of doctor information to be scheduled to the patient end under the condition that the plurality of doctor information to be scheduled exist, and selecting the doctor end associated with the corresponding doctor information to be scheduled to establish communication with the patient end according to the selecting information returned by the patient end.
In the above example, if there are 5 pieces of the doctor identification information having 2 associated doctor feature tags, the 2 pieces of the doctor information to be scheduled are sent to the patient side, a selection control is provided to obtain the doctor information to be scheduled selected by the patient, the doctor side associated with the doctor information to be scheduled is communicated with the patient side, and if there is no more pieces of the doctor information to be scheduled, the doctor side corresponding to the doctor information to be scheduled is directly communicated with the patient side.
The invention also provides a doctor-patient online communication method, which is shown in fig. 2 and comprises the following steps:
s1, receiving disease description information of a patient end, wherein the input information carries patient identification information;
s2, reasoning the disease condition description information input model to obtain reply information;
s3, returning the reply information to the patient end;
s4, receiving fine description information corresponding to the reply information from the patient side;
s5, inputting the disease condition description information and the fine description information into a second model for reasoning to obtain a plurality of patient disease condition labels;
s6, matching doctor identity information according to the patient condition labels, wherein the doctor identity information is associated with a doctor end;
and S7, establishing communication between the patient side and the doctor side.
The specific definition of the doctor-patient online communication method can be referred to the definition of the internet hospital platform, and is not described herein again. All or part of the steps of the doctor-patient online communication method can be realized by software, hardware and a combination thereof.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the Internet.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (8)
1. Internet hospital platform, its characterized in that, including patient's end, doctor's end and control platform, control platform includes:
the receiving module is used for receiving disease condition description information of a patient end, and the disease condition description information carries patient identity information;
the first reasoning module is used for reasoning the disease description information input model to obtain reply information;
the reply module is used for returning to the patient end according to the reply information;
the receiving module is further used for receiving fine description information corresponding to the reply information from the patient side;
the control platform further comprises:
the second reasoning module is used for inputting the disease condition description information and the fine description information into a second model for reasoning to obtain a plurality of patient disease condition labels;
the matching module is used for matching doctor identification information as doctor information to be scheduled according to the patient condition labels of the plurality of patients, and the doctor identification information is associated with a doctor end;
and the communication establishing module is used for establishing communication between the patient side and the doctor side associated with the doctor identity information.
2. The internet hospital platform of claim 1, wherein the doctor identification information is associated with a plurality of doctor feature tags;
the matching module comprises:
the sorting unit is used for sorting at least one piece of doctor identity identification information according to the number of the doctor feature labels which are associated with the doctor identity identification information and are the same as the patient condition labels of the patients to obtain a doctor sequence list;
and the arrangement unit is used for taking the doctor identification information ranked first in the doctor sequence table as the information of the doctor to be arranged.
3. The internet hospital platform of claim 2, wherein said scheduling unit comprises:
the first arrangement subunit is used for taking the doctor identification information with the least associated doctor feature labels as the information of the doctors to be arranged under the condition that a plurality of pieces of first-ranked doctor identification information exist.
4. The internet hospital platform of claim 2, wherein the communication establishing module comprises a selecting unit, and the selecting unit is configured to send a plurality of doctor information to be scheduled to the patient side when the plurality of doctor information to be scheduled exists, and to select a doctor side associated with the corresponding doctor information to be scheduled to establish communication with the patient side according to the selection information returned by the patient side.
5. The internet hospital platform of claim 1, wherein the first model is trained by:
labeling each disease condition description information sample in the disease condition description information sample training set to label the reply information of each disease condition description information, wherein the reply information is associated with all or part of information in the disease condition description information sample; training the neural network through the labeled disease description information sample training set to obtain a first model;
the reply message is obtained from historical communication dialogue information, and the historical communication dialogue information is the on-line communication dialogue information of the patient and the doctor in the past.
6. The internet hospital platform of claim 1, wherein the second model is trained by:
labeling each descriptive information sample in the descriptive information sample training set to label a patient condition label of each descriptive information, wherein the patient condition label is associated with all or part of information in the descriptive information sample; training the neural network through the description information sample training set subjected to labeling processing to obtain a first model;
patient condition labels include disease type, severity, direction of change, and complications.
7. The internet hospital platform of claim 1, wherein the disease description information includes voice information and text information.
8. An online doctor-patient communication method, comprising:
receiving disease description information of a patient end, wherein the input information carries patient identification information;
reasoning the disease condition description information input model to obtain reply information;
returning the reply information to the patient end;
receiving fine description information corresponding to the reply information from the patient side;
inputting the disease condition description information and the fine description information into a second model for reasoning to obtain a plurality of patient disease condition labels;
matching doctor identification information according to the patient condition labels, wherein the doctor identification information is associated with a doctor end;
and establishing communication between the patient end and the doctor end.
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