CN115274141A - Remote medical consultation method and system based on polling - Google Patents

Remote medical consultation method and system based on polling Download PDF

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CN115274141A
CN115274141A CN202211172770.5A CN202211172770A CN115274141A CN 115274141 A CN115274141 A CN 115274141A CN 202211172770 A CN202211172770 A CN 202211172770A CN 115274141 A CN115274141 A CN 115274141A
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consultation
department
time
room
patient
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CN115274141B (en
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崔祥瑞
付海城
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Shenzhen Wenzhi Technology Co ltd
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Shenzhen Wenzhi Technology Co ltd
Beijing Xiaocheng Suwen Information Technology Co ltd
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    • G—PHYSICS
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    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F40/00—Handling natural language data
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    • G06F40/237—Lexical tools
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    • G06F40/00—Handling natural language data
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    • G—PHYSICS
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    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

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Abstract

The invention relates to a remote medical consultation method and system based on polling, wherein the method comprises the steps of receiving a consultation request initiated by a patient; determining a target consultation department according to the keywords in the disease description information and the historical medical record information; judging whether a doctor in the target consultation department receives the consultation request or not, if so, forming a consultation group according to the time of the doctor in the target consultation department responding to the consultation request and determining the consultation time; judging whether the patient receives the consultation time, and if so, generating a consultation room; forming a polling consultation sequence according to the actual time for the doctors in the consultation room; and after any round of consultation is finished, receiving the receptivity of the doctors and the patients in the consultation group to the round of consultation, and determining whether to enter the next round of consultation or finish the polling consultation. The consultation is completed by analyzing, processing and judging the consultation request and the action behavior of the patient, so that the requirement of the patient is met, and the consultation quality is improved.

Description

Remote medical consultation method and system based on polling
Technical Field
The invention relates to the field of remote medical treatment, in particular to a remote medical consultation method and system based on polling.
Background
With the advent of internet information technology and remote networks, patients in remote areas can undergo remote medical consultation, so that the remote areas can enjoy high-level and high-quality medical services, and the ability of emergency treatment of patients is improved.
A polling-based remote medical consultation method disclosed in the document having the application number 201910583487.3 includes: creating a medical resource library, wherein the medical resource library comprises a consultation doctor resource library and a consultation data database, and the consultation doctor resource library is used for storing identity information, adept disease types, capacity values corresponding to the adept disease types and appointment-able time information of each doctor; the consultation data database is used for storing diagnosis and treatment questions and corresponding diagnosis and treatment answers, historical consultation requests and corresponding historical final consultation records; establishing an expert database, a general doctor database and a intern database corresponding to each disease type according to the numerical range of the capacity value; receiving a consultation request sent by a main doctor, wherein the consultation request comprises patient identification information and medical record data, and setting a classification label for the consultation request according to the medical record data, wherein the classification label comprises a consultation disease type, a consultation time limit range and a consultation difficulty level; establishing a consultation team room according to the classification labels, wherein the consultation team room comprises M expert seats, N general doctor seats, L intern seats and a consultation opinion database for recording consultation opinions; sequencing all seats in a consultation team room according to a set sequencing rule, connecting the seats end to form a ring, and setting one expert seat as an initial seat; opening a consultation team room to all doctors in a consultation doctor resource library within a set consultation time limit range, receiving a consultation participation request sent by any one doctor, wherein the consultation participation request comprises the identity information of the doctor, examining and verifying the consultation participation request by combining an expert database, a general doctor database and a practice doctor database, and arranging the doctor on a corresponding seat after the examination is passed; responding to all seats with people, starting first polling, wherein the consultation opinion database opens reading authority for each doctor in the consultation team room in the polling process: sequentially receiving consultation opinions of each doctor in a consultation team room from an initial seat, and recording the consultation opinions to a consultation opinion database in real time, wherein the consultation opinions comprise diagnosis opinions, diagnosis questions and diagnosis answer; generating a first round of consultation record, sending the first round of consultation record to consultation team members, repeating the polling process, preprocessing data in a consultation suggestion database after the polling is finished, generating the consultation record of the current round, sending the consultation record of the current round to a main doctor, asking the main doctor to determine whether to finish the consultation, integrating the data in the consultation suggestion database if the consultation is finished, generating a final consultation record, and otherwise, carrying out the next polling; storing diagnosis and treatment questions, corresponding diagnosis and treatment answers, diagnosis and treatment requests and corresponding final diagnosis and treatment records into a diagnosis and treatment data database; and re-evaluating the ability values of the members of the consultation team, and adjusting the personnel composition of an expert database, a general doctor database and an intern database corresponding to the disease types.
In the prior art, consultation requests are sent by main doctors, consultation team rooms are created according to the consultation requests, and patients are consulted through polling to form consultation records, but the consultation records have large limitations and low consultation quality.
Disclosure of Invention
Therefore, the invention provides a remote medical consultation method and system based on polling, which can solve the problem of low consultation quality.
To achieve the above object, the present invention provides a remote medical consultation method based on polling, including:
receiving a consultation request initiated by a patient, wherein the consultation request comprises basic information, disease description information and historical medical record information of the patient;
determining a first consultation department according to keywords in the disease description information, determining a second consultation department according to historical medical record information, taking the first consultation department as a target consultation department when the first consultation department is the same as the second consultation department, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department is different from the second consultation department, and sending a consultation request to all doctors in the target consultation departments;
judging whether a doctor in the target consultation department receives the consultation request or not, if so, forming a consultation group according to the first doctor responding to the consultation request in the target consultation department, determining consultation time according to the response time of the last doctor in the consultation group, and sending the consultation time to the patient;
judging whether the patient receives the consultation time, if so, generating a consultation room, and respectively sending the consultation room and the consultation time to the patient and doctors in the consultation group;
forming a polling consultation sequence according to the actual time when the doctors in the consultation room enter the consultation room, wherein the polling consultation sequence is based on the speaking sequence of the doctors in the consultation room after the patients are queried by voices;
performing at least one round of consultation according to the polling consultation sequence, and recording each round of consultation according to voice recognition to form consultation records;
after any round of consultation is finished, receiving the acceptance of the current round of consultation by the doctors in the consultation group, if the acceptance of the current round of consultation by the doctors is high, receiving the acceptance of the current round of consultation by the patients, and if the acceptance of the current round of consultation by the patients is also high, ending the polling consultation;
and after the polling consultation is finished, generating a consultation report, a medical record report and a medical advice according to the consultation record.
Further, when a first consultation department is determined, automatically segmenting the text of the disease condition description information to form a first segmentation table, wherein each consultation department has a dictionary which comprises a plurality of keywords for describing symptoms of the corresponding department, matching the first segmentation table with the dictionary of each consultation department, and the consultation department corresponding to the matched keywords is the department to be consulted by the patient to form the first consultation department.
Further, when a second consultation department is determined, character recognition is carried out according to the historical medical record information, the historical medical record information is in a document format or a picture format, automatic word segmentation processing is carried out on medical history description in the recognized historical medical record information to form a second word segmentation table, the second word segmentation table is matched with a dictionary of each consultation department, the consultation department corresponding to the matched keywords is a department to be consulted by the patient, and the second consultation department is formed;
and merging and screening the first consultation department and the second consultation department, taking the first consultation department as a target consultation department when the first consultation department and the second consultation department are the same, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department and the second consultation department are different, so that a consultation request is sent to all doctors in the target consultation departments.
Further, after all doctors in the target consultation department receive the consultation request, judging whether any doctor in the target consultation department receives the consultation request, screening the doctors in each consultation department when at least one doctor in each consultation department in the target consultation department responds to the consultation request, screening according to the time for the doctors to respond to the consultation request, screening out the first doctor in each consultation department to respond to the consultation request, and forming a consultation group.
Further, after the consultation group is formed, consultation time is determined according to the time of the doctors in the consultation group responding to the consultation requests, the time of each doctor in the consultation group responding to the consultation request is compared, preset time duration is increased on the basis of the time of the latest consultation request responding to the consultation request, consultation time is formed, and the consultation time is sent to the patient.
Further, after the consultation time is sent to the patient, whether the patient receives the consultation time within a preset time is judged, the preset time is half of the preset time, and when the patient is judged not to receive the consultation time within the preset time, a short message or an AI voice call is sent to the patient according to the basic information of the patient for reminding; when the patient is judged to have received the consultation time within the preset time, forming a consultation room, and respectively sending the consultation room and the consultation time to the patient and a doctor in the consultation group; and when the patient is judged not to receive the consultation time after the patient is reminded by sending a short message or an AI voice telephone, the consultation request is cancelled.
Further, before the doctors and the patients in the consultation group enter the consultation room, the doctors and the patients in the consultation group are subjected to face recognition, if the verification is passed, the patients enter the consultation room, if the verification is not passed, the identity numbers of the doctors and the patients are verified, and if the verification is not passed, early warning is performed.
Further, after the doctors and the patients in the consultation room enter the consultation room, a polling consultation sequence is formed according to the actual time when the doctors in the consultation room enter the consultation room, the polling consultation sequence is based on the speech sequence of the doctors in the consultation room after the patients are queried through voice, at least one round of consultation is performed according to the polling consultation sequence, after any round of consultation is completed, whether the doctors in the consultation group receive the inquiry of the round or not is received, if all the doctors receive the inquiry of the round, the acceptance level is high, the acceptance level of the patient to the inquiry of the round is received, and if at least one doctor does not receive the inquiry of the round, the acceptance level is low, and the next round of consultation is performed; and when the acceptance of the current round of inquiry by the doctors in the consultation team is high, receiving whether the patients receive the current round of inquiry, if so, the acceptance is high, finishing the polling consultation, and if not, the acceptance is low, and entering the next round of consultation.
Further, the present invention also provides a remote medical consultation system based on polling, which includes:
the system comprises a receiving module, a consultation module and a consultation module, wherein the receiving module is used for receiving a consultation request initiated by a patient, and the consultation request comprises basic information of the patient, disease description information and historical medical record information;
the first processing module is used for determining a first consultation department according to keywords in the disease description information, determining a second consultation department according to historical medical record information, taking the first consultation department as a target consultation department when the first consultation department is the same as the second consultation department, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department is different from the second consultation department, and sending a diagnosis request to all doctors in the target consultation departments;
the second processing module is used for judging whether a doctor in the target consultation department receives the consultation request or not, if the doctor in the target consultation department receives the consultation request, a consultation group is formed according to the first doctor responding to the consultation request in the target consultation department, the consultation time is determined according to the response time of the last doctor in the consultation group, and the consultation time is sent to the patient;
the third processing module is used for judging whether the patient receives the consultation time, if so, generating a consultation room, and respectively sending the consultation room and the consultation time to the patient and doctors in the consultation group;
a forming module, configured to form a polling consultation sequence according to an actual time when a doctor in the consultation room enters the consultation room, where the polling consultation sequence is based on a speech sequence of the doctor in the consultation room after the patient is queried by the voice;
the consultation module is used for carrying out at least one round of consultation according to the polling consultation sequence, recording each round of consultation according to voice recognition and forming consultation records;
the fourth processing module is used for receiving the acceptance of the current round of inquiry by the doctors in the consultation group after any round of consultation is finished, receiving the acceptance of the current round of inquiry by the patients if the acceptance of the current round of inquiry by the doctors is high, and finishing the polling consultation if the acceptance of the current round of inquiry by the patients is also high;
and the generation module is used for generating a consultation report, a medical record report and a medical advice according to the consultation record after the polling consultation is finished.
Further, the first processing module comprises a first determining unit, a second determining unit, an analyzing unit and a first sending unit, wherein the first determining unit is used for determining a first consultation department according to a keyword in the disease description information, the second determining unit is used for determining a second consultation department according to historical medical record information, the analyzing unit is used for taking the first consultation department as a target consultation department when the first consultation department is the same as the second consultation department, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department is different from the second consultation department, and the first sending unit is used for sending consultation requests to all doctors of the corresponding departments;
the second processing module comprises a first judging unit, a forming unit, a third determining unit and a second sending unit, wherein the first judging unit is used for judging whether a doctor in the target consultation department receives a consultation request, the forming unit is used for forming a consultation group according to the first doctor in the target consultation department responding to the consultation request, the third determining unit is used for determining consultation time according to the response time of the last doctor in the consultation group, and the second sending unit is used for sending the consultation time to the patient;
the third processing module comprises a second judging unit, a generating unit and a third sending unit, the second judging unit is used for judging whether the patient receives the consultation time, the generating unit is used for generating a consultation room after the patient receives the consultation time, and the third sending unit is used for respectively sending the consultation room and the consultation time to the patient and a doctor of the consultation group;
the fourth processing module comprises a first receiving unit, a second receiving unit and a judging unit, the first receiving unit is used for receiving the acceptance of the current round of inquiry by the doctors in the consultation group after any round of consultation is finished, the second receiving unit is used for receiving the acceptance of the current round of inquiry by the patients when the acceptance of the current round of inquiry by the doctors is high, and the judging unit is used for judging the acceptance of the current round of inquiry by the doctors and the patients in the consultation group.
The consultation method has the advantages that by receiving consultation requests of patients, determining target consultation departments for consultation of the patients according to disease description information and historical case history information in the consultation requests, sending the consultation requests to all doctors in the target consultation departments, then judging whether doctors in the target consultation departments receive the consultation requests, if the doctors in the target consultation departments receive the consultation requests, forming a consultation group according to the first doctors responding to the consultation requests in the target consultation departments, determining consultation time according to the response time of the last doctor in the consultation group, sending the consultation time to the patients, then judging whether the patients receive the consultation time, if the patients receive the consultation time, automatically generating consultation rooms, respectively sending the consultation rooms and the consultation time to the patients and the doctors in the consultation group, then forming a polling sequence according to the actual time of the doctors in the consultation room in the consultation group, generating consultation records according to the consultation sequence and recognizing the consultation records, and then receiving high-quality consultation reports after the consultation is finished, and then receiving high-consultation reports of the patients, and then receiving the consultation reports of the patients.
Particularly, when the first consultation department is determined, the text of the disease condition description information is automatically segmented, then the segmented words are matched with the dictionary of each consultation department, the consultation departments corresponding to the matched keywords form the first consultation department, and the words are segmented and matched with the keywords in the dictionary, so that the analysis of the consultation departments is more accurate, and the consultation quality is improved.
Particularly, when a second consultation department is determined, processing is carried out according to the historical medical record information, because the historical medical record information is in a document format or a picture format, character recognition is carried out, medical history descriptions in the historical medical record information are recognized, automatic word segmentation processing is carried out on the medical history descriptions, the segmented words are matched with dictionaries of all consultation departments, the consultation departments corresponding to the matched keywords form a second consultation department, then the first consultation department list and the second consultation department list are combined and screened to form a target consultation department, the second consultation department is formed by recognizing, segmenting and matching the medical history in the historical medical record information, the target consultation department is formed by combining and screening the first consultation department list and the second consultation department list, and therefore the condition that cannot be cured in time due to complications generated by the previous medical history is prevented, and the consultation quality is improved.
Particularly, by judging whether each consultation department in the target consultation department has a doctor to receive the consultation request or not, if at least one doctor in each consultation department responds to the consultation request, the doctor in each consultation department is screened, and each consultation department screens out one doctor with the earliest time for responding to the consultation request to form a consultation group.
Particularly, by comparing the time of each doctor in the consultation group responding to the consultation request and increasing the preset time length on the basis of the latest time of responding to the consultation request, the consultation time is formed, so that the consultation time can be quickly formed after the consultation group is formed, the patient can be consulted as soon as possible, and the consultation efficiency is improved.
Particularly, after the consultation time is sent to the patient, whether the patient receives the consultation time within the preset time is judged, if the consultation time is received, a consultation room is formed, and if the consultation time is not received, the consultation time is reminded by sending a short message or an AI voice telephone, so that the condition that the patient forgets to receive the consultation time is prevented, and the consultation efficiency is improved by reminding the patient.
Particularly, before the doctors and the patients in the consultation group enter the consultation room, the doctors and the patients in the consultation group are subjected to face recognition, if the verification is passed, the doctors and the patients enter the consultation room, if the verification is not passed, the doctors in the patients and the consultation group manually input identity numbers, the verification is carried out again, if the verification is not passed, early warning is carried out, and the situation that a person pretends to be a doctor for consultation and causes medical accidents is prevented.
Particularly, after the doctors and the patients in the consultation room enter the consultation room, a polling consultation sequence is formed according to the actual time when the doctors in the consultation room enter the consultation room, polling consultation is carried out according to the polling consultation sequence, when any round of consultation is finished, whether the next round of consultation is entered or whether the patients receive the acceptance of the current round of consultation is determined by receiving the acceptance of the current round of consultation of the doctors of the consultation group, the consultation process is well ordered, then when the acceptance of the current round of consultation is high, the acceptance of the current round of consultation is received by the doctors of the consultation group, whether the patients enter the next round of consultation or finish the polling consultation is determined, the condition of the patients is prevented from being unresolved, the diseases of the patients are solved through polling consultation, all questions of the patients are answered, and the satisfaction and the consultation quality of the patients are improved.
Particularly, a consultation request of a patient is received through the receiving module, the first processing module determines a target consultation department for the patient according to the consultation request, the second processing module judges whether a doctor corresponding to the consultation department receives the consultation request or not, if the doctor corresponding to the consultation department receives the request, a consultation group is formed according to the first doctor responding to the consultation request in the target consultation department, consultation time is determined according to the response time of the last doctor in the consultation group, the consultation time is sent to the patient, then the third processing module judges whether the patient receives the consultation time or not, if the consultation time is received, a consultation room is generated, and the consultation room and the consultation time are respectively sent to the patient and the doctors in the consultation group, the forming module forms a polling consultation sequence according to the time when a doctor in the consultation room enters the consultation room, the consultation module performs at least one round of consultation according to the polling consultation sequence, records each round of consultation according to voice recognition to form consultation records, and after any round of consultation is finished, whether the next round of consultation is started or the next round of consultation is finished is determined according to the acceptance of the doctor and the patient in the consultation group to the round of consultation, and finally the generating module generates a consultation report, a case history report and a medical advice, so that the follow-up consultation is finished by analyzing and processing and judging the consultation request and action behaviors of the patient, the requirement of the patient is met, and the consultation quality is improved.
Particularly, the first determining unit, the second determining unit, the analyzing unit and the first sending unit in the first processing module, the first judging unit, the forming unit, the third determining unit and the second sending unit in the second processing module, the second judging unit, the generating unit and the third sending unit in the third processing module, and the second judging unit, the generating unit and the third sending unit in the third processing module all complete subsequent consultation by analyzing and processing and judging consultation requests and action behaviors of patients, so that the requirements of patients are met, and the consultation quality is improved.
Drawings
FIG. 1 is a flow chart of a polling-based remote medical consultation method according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of a polling-based remote medical consultation system according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described in conjunction with the following examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
It should be noted that in the description of the present invention, the terms of direction or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, which are only for convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, a polling-based remote medical consultation method according to an embodiment of the present invention includes:
step S110, receiving a consultation request initiated by a patient, wherein the consultation request comprises basic information of the patient, disease description information and historical medical record information;
step S120, determining a first consultation department according to the keywords in the disease description information, determining a second consultation department according to historical medical record information, taking the first consultation department as a target consultation department when the first consultation department is the same as the second consultation department, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department is different from the second consultation department, so that a diagnosis request is sent to all doctors in the target consultation departments;
step S130, judging whether a doctor in the target consultation department receives the consultation request, if so, forming a consultation group according to the first doctor responding to the consultation request in the target consultation department, determining consultation time according to the response time of the last doctor in the consultation group, and sending the consultation time to the patient;
step S140, judging whether the patient receives the consultation time, if so, generating a consultation room, and respectively sending the consultation room and the consultation time to the patient and doctors in the consultation team;
step S150, forming a polling consultation sequence according to the actual time when the doctors in the consultation room enter the consultation room, wherein the polling consultation sequence is based on the speech sequence of the doctors in the consultation room after the voice inquiry of the patient;
step S160, at least one round of consultation is carried out according to the polling consultation sequence, and each round of consultation is recorded according to voice recognition to form consultation records;
step S170, after any round of consultation is finished, receiving the acceptance of the current round of inquiry by the doctor in the consultation group, if the acceptance of the current round of inquiry by the doctor is high, receiving the acceptance of the current round of inquiry by the patient, and if the acceptance of the current round of inquiry by the patient is also high, ending the polling consultation;
and step S180, generating a consultation report, a medical record report and a medical advice according to the consultation record after the polling consultation is finished.
Specifically, the embodiment of the present invention determines a target consultation department for consultation of a patient according to a disease description information and a history medical record information in a consultation request by receiving the consultation request of the patient, sends the consultation request to all doctors in the target consultation department, then judges whether any doctor in the target consultation department receives the consultation request, if a doctor in the target consultation department receives the consultation request, forms a consultation group according to the doctor who first responds to the consultation request in the target consultation department, determines a consultation time according to the response time of the last doctor in the consultation group, sends the consultation time to the patient, then judges whether the patient receives the consultation time, if the patient receives the consultation time, automatically generates a consultation room, sends the consultation room and the consultation time to the patient and the doctors in the consultation group respectively, then forms a consultation sequence according to the actual time when the doctors in the consultation group enter the consultation room, performs at least one round of consultation according to the consultation sequence and generates a consultation record, then receives the polling record after the consultation is completed, and then determines that the consultation is completed according to the polling action in the consultation group, and if the patient receives the high consultation report, and then receives the consultation report, and then determines that the consultation action is completed.
Specifically, when a first consultation department is determined, the text of the disease condition description information is automatically participled to form a first participle table, each consultation department has a dictionary, the dictionary comprises a plurality of keywords for describing symptoms of the corresponding department, the first participle table is matched with the dictionary of each consultation department, the consultation department corresponding to the matched keywords is the department to be consulted by the patient, and the first consultation department is formed.
Specifically, if the patient's disease description information is that i have stomach trouble and are also headache, then words are automatically segmented into i, stomach, trouble and, also and headache, the words are matched with the dictionary of each consultation department, the matched keywords are stomach, trouble and headache, the corresponding consultation departments are gastroenterology and neurology, and then the first consultation department contains the gastroenterology and neurology.
Specifically, when a first consultation department is determined, the text of the disease condition description information is automatically segmented, the segmented words are matched with the dictionary of each consultation department, the consultation departments corresponding to the matched keywords form the first consultation department, and the words are segmented and matched with the keywords in the dictionary, so that the analysis of the consultation departments is more accurate, and the consultation quality is improved.
Specifically, when a second consultation department is determined, character recognition is carried out according to the historical medical record information, the historical medical record information is in a document format or a picture format, automatic word segmentation processing is carried out on medical history description in the recognized historical medical record information to form a second word segmentation table, the second word segmentation table is matched with a dictionary of each consultation department, the consultation department corresponding to matched keywords is a department to be consulted by the patient, and the second consultation department is formed;
and merging and screening the first consultation department and the second consultation department, taking the first consultation department as a target consultation department when the first consultation department and the second consultation department are the same, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department and the second consultation department are different, so that a consultation request is sent to all doctors in the target consultation departments.
Specifically, if the first consultation room includes consultation room a and the second consultation room includes consultation room a, the target consultation room is consultation room a of the first consultation room, and if the first consultation room includes consultation room a and the second consultation room includes consultation room a and consultation room B, the target consultation rooms are consultation room a of the first consultation room and consultation room B of the second consultation room through combination and screening.
Specifically, when the second consultation department is determined, processing is performed according to the historical medical record information, because the historical medical record information is in a document format or a picture format, character recognition is performed, medical history descriptions in the historical medical record information are recognized, automatic word segmentation processing is performed on the medical history descriptions, the segmented words are matched with dictionaries of all the consultation departments, the consultation departments corresponding to matched keywords form the second consultation department, then the first consultation department list and the second consultation department list are combined and screened to form a target consultation department, the medical history in the historical medical record information is recognized, segmented and matched to form the second consultation department, and the second consultation department and the first consultation department are combined and screened to form the target consultation department, so that the situation that treatment cannot be timely performed due to complications generated by the previous medical history is prevented, and the consultation quality is improved.
Specifically, after all doctors in the target consultation department receive consultation requests, whether the target consultation department has any doctor to receive the consultation requests is judged, when at least one doctor in each consultation department in the target consultation department responds to the consultation requests, the doctors in each consultation department are screened, screening is carried out according to the time of the doctors responding to the consultation requests, and the first doctor responding to the consultation requests in each consultation department is screened to form a consultation group.
Specifically, if the target consultation department includes consultation department a and consultation department B, consultation department a includes doctor a and doctor B in response to the consultation request, consultation department B includes doctor c in response to the consultation request, and the time for doctor a to receive the consultation request is 9:30: time for doctor b to receive consultation request is 9:31:01, the screening is performed according to the time of responding to the consultation request, and since the time of responding to the consultation request by doctor a is earlier than the time of responding to the consultation request by doctor b, the consultation doctor of consultation department A is doctor a, and the consultation team is doctor a and doctor c.
Specifically, the embodiment of the invention screens doctors in each consultation department by judging whether each consultation department in the target consultation department has a doctor to receive a consultation request or not, and screens the doctors in each consultation department if at least one doctor in each consultation department responds to the consultation request, and each consultation department screens out one doctor with the earliest time for responding to the consultation request to form a consultation group.
Specifically, after a consultation group is formed, consultation time is determined according to the time of the doctors in the consultation group responding to the consultation requests, the time of each doctor in the consultation group responding to the consultation request is compared, preset time duration is increased on the basis of the latest consultation request responding time, consultation time is formed, and the consultation time is sent to the patient.
Specifically, if the time of the latest response to the consultation request is compared to be 9:35:00, the preset time is 10 minutes, and the consultation time is 9:45:00.
specifically, in the embodiment of the invention, by comparing the time of each doctor in the consultation group responding to the consultation request and increasing the preset time length on the basis of the latest time of responding to the consultation request, the consultation time is formed, so that the consultation time can be quickly formed after the consultation group is formed, the patient can carry out consultation as soon as possible, and the consultation efficiency is improved.
Specifically, after the consultation time is sent to the patient, whether the patient receives the consultation time within a preset time is judged, the preset time is half of the preset time, and when the patient does not receive the consultation time within the preset time, a short message or an AI voice call is sent to the patient according to the basic information of the patient for reminding; when the patient is judged to have received the consultation time within the preset time, forming a consultation room, and respectively sending the consultation room and the consultation time to the patient and a doctor in the consultation group; and when the patient is judged not to receive the consultation time after the patient is reminded by sending a short message or an AI voice telephone, the consultation request is cancelled.
Specifically, after the consultation time is sent to the patient, the embodiment of the invention judges whether the patient receives the consultation time within the preset time, if so, a consultation room is formed, if not, the consultation room is reminded by sending a short message or an AI voice call, so that the patient is prevented from forgetting to receive the consultation time, and the consultation efficiency is improved by reminding the patient.
Specifically, before entering a consultation room, the doctors and the patients in the consultation group perform face recognition, if the verification is passed, the doctors and the patients enter the consultation room, if the verification is not passed, the identity numbers of the doctors and the patients are verified, and if the verification is not passed, early warning is performed.
Specifically, in the embodiment of the invention, before the doctors and the patients in the consultation room enter the consultation room, the doctors and the patients in the consultation room are subjected to face recognition, if the verification is passed, the doctors enter the consultation room, if the verification is not passed, the identity numbers are manually input by the doctors in the patients and the consultation room, the patients are verified again, and if the identity numbers are not passed, early warning is carried out, so that the situation that a person pretends to be a doctor for consultation is prevented, and medical accidents are caused.
Specifically, after a doctor and a patient in the consultation room enter the consultation room, a polling consultation sequence is formed according to the actual time when the doctor in the consultation room enters the consultation room, the polling consultation sequence is based on the speech sequence of the doctor in the consultation room after the patient is queried through voice, at least one round of consultation is performed according to the polling consultation sequence, after any round of consultation is completed, whether the doctor in the consultation room receives the round of consultation is received, if all the doctors receive the round of consultation, the acceptance is high, the acceptance of the patient to the round of consultation is received, and if at least one doctor does not receive any one consultation, the acceptance is low, and the next round of consultation is entered; and when the acceptance of the current round of inquiry by the doctors in the consultation team is high, receiving whether the patients receive the current round of inquiry, if so, the acceptance is high, finishing the polling consultation, and if not, the acceptance is low, and entering the next round of consultation.
Specifically, after a doctor and a patient in the consultation room enter the consultation room, a polling consultation sequence is formed according to the actual time when the doctor and the patient in the consultation room enter the consultation room, before the polling consultation starts, the patient is queried by voice, the doctor in the consultation room answers the query of the patient according to the polling consultation sequence, after any round of consultation is finished, if the doctor has high satisfaction degree to the round of consultation, the acceptance degree of the patient is received, if at least one doctor has other viewpoints to the round of consultation, the acceptance degree is low, the next round of consultation is entered, if the patient has still to the round of consultation, the acceptance degree is low, the next round of consultation is entered, and when both the doctors and the patients feel no problem, namely the acceptance degree is high, the consultation is ended.
Specifically, after the doctors and the patients in the consultation room enter the consultation room, a polling consultation sequence is formed according to the actual time for the doctors and the patients in the consultation room, polling consultation is performed according to the polling consultation sequence, after any round of consultation is finished, whether the next round of consultation is entered or whether the patients receive the acceptance of the current round of consultation is determined by receiving the acceptance of the current round of consultation by the doctors of the consultation group, so that the consultation process is well-ordered, and then when the acceptance of the current round of consultation is high by the doctors of the consultation group, whether the patients enter the next round of consultation or finish the polling consultation is determined by receiving the acceptance of the current round of consultation, so that the patients are prevented from being unresolved, the diseases of the patients are solved by polling consultation, all questions of the patients are solved, and the satisfaction degree and the consultation quality of the patients are improved.
Specifically, after the polling consultation is finished, a consultation report, a medical record report and medical orders are generated according to the consultation record and are stored in a consultation room for downloading and printing.
Specifically, after the polling consultation is finished, the consultation report, the medical record report and the medical advice are generated according to the consultation record and are stored in a consultation room, so that the patient can obtain a consultation result, and can download and print, and the satisfaction degree and the consultation quality of the patient are improved.
Specifically, referring to fig. 2, an embodiment of the present invention further provides a remote medical consultation system based on polling, including:
a receiving module 210, configured to receive a consultation request initiated by a patient, where the consultation request includes basic information of the patient, description information of a disease condition, and historical medical record information;
the first processing module 220 is configured to determine a first consultation department according to keywords in the disease description information, determine a second consultation department according to historical medical record information, use the first consultation department as a target consultation department when the first consultation department is the same as the second consultation department, use the first consultation department and the second consultation department as target consultation departments when the first consultation department is different from the second consultation department, and send a consultation request to all doctors in the target consultation departments;
the second processing module 230 is configured to determine whether a doctor in the target consultation department receives the consultation request, and if the doctor in the target consultation department receives the consultation request, form a consultation group according to the first doctor responding to the consultation request in the target consultation department, determine consultation time according to the response time of the last doctor in the consultation group, and send the consultation time to the patient;
a third processing module 240, configured to determine whether the patient receives the consultation time, if so, generate a consultation room, and send the consultation room and the consultation time to the patient and a doctor in the consultation team, respectively;
a forming module 250, configured to form a polling consultation sequence according to an actual time when a doctor in the consultation room enters the consultation room, where the polling consultation sequence is based on a speech sequence of the doctor in the consultation room after the patient is queried by the voice;
a consultation module 260, configured to perform at least one round of consultation according to the polling consultation sequence, and record each round of consultation according to voice recognition to form a consultation record;
a fourth processing module 270, configured to receive, after completing any round of consultation, the receptivity of the doctor in the consultation group to the current round of consultation, if the receptivity of the doctor to the current round of consultation is high, receive the receptivity of the patient to the current round of consultation, and if the receptivity of the patient to the current round of consultation is also high, end the polling consultation;
and the generating module 280 is configured to generate a consultation report, a medical record report and a medical order according to the consultation record after the polling consultation is finished.
Specifically, in the embodiment of the present invention, a receiving module receives a consultation request of a patient, a first processing module determines a target consultation department for the patient according to the consultation request, a second processing module determines whether a doctor in the corresponding consultation department receives the consultation request, if the doctor in the corresponding consultation department receives the request, a consultation group is formed according to the first doctor in the target consultation department responding to the consultation request, consultation time is determined according to the response time of the last doctor in the consultation group, the consultation time is sent to the patient, a third processing module determines whether the patient receives the consultation time, if so, a consultation room is generated, the consultation room and the consultation time are respectively sent to the patient and the doctor in the consultation group, a formation module forms a consultation sequence according to the time when the doctor in the consultation room enters the consultation group, a consultation module performs at least one round according to the consultation sequence, records each round of consultation according to voice recognition, forms a consultation record, and after an arbitrary round of consultation is completed, a consultation report is generated according to the time when the doctor in the consultation room enters the consultation group, a follow-up consultation report and a follow-up consultation action is determined, and a follow-up consultation action is performed, so that the consultation report and the follow-up consultation action is satisfied.
Specifically, the first processing module comprises a first determining unit, a second determining unit, an analyzing unit and a first sending unit, wherein the first determining unit is used for determining a first consultation department according to a keyword in the disease description information, the second determining unit is used for determining a second consultation department according to historical medical record information, the analyzing unit is used for taking the first consultation department as a target consultation department when the first consultation department is the same as the second consultation department, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department is different from the second consultation department, and the first sending unit is used for sending consultation requests to all doctors of corresponding departments;
the second processing module comprises a first judging unit, a forming unit, a third determining unit and a second sending unit, wherein the first judging unit is used for judging whether a doctor in the target consultation department receives a consultation request, the forming unit is used for forming a consultation group according to the first doctor in the target consultation department responding to the consultation request, the third determining unit is used for determining consultation time according to the response time of the last doctor in the consultation group, and the second sending unit is used for sending the consultation time to the patient;
the third processing module comprises a second judging unit, a generating unit and a third sending unit, the second judging unit is used for judging whether the patient receives the consultation time, the generating unit is used for generating a consultation room after the patient receives the consultation time, and the third sending unit is used for sending the consultation room and the consultation time to the patient and a doctor of the consultation group respectively;
the third processing module comprises a second judging unit, a generating unit and a third sending unit, the first receiving unit is used for receiving the receptivity of doctors in the consultation group to the current round of inquiry after any round of consultation is finished, the second receiving unit is used for receiving the receptivity of patients to the current round of inquiry when the receptivity of the doctors to the current round of inquiry is high, and the judging unit is used for judging the receptivity of the doctors and the patients in the consultation group to the current round of inquiry.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A polling-based remote medical consultation method, comprising:
receiving a consultation request initiated by a patient, wherein the consultation request comprises basic information, disease description information and historical medical record information of the patient;
determining a first consultation department according to keywords in the disease description information, determining a second consultation department according to historical medical record information, taking the first consultation department as a target consultation department when the first consultation department is the same as the second consultation department, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department is different from the second consultation department, and sending a consultation request to all doctors in the target consultation departments;
judging whether a doctor in the target consultation department receives the consultation request, if so, forming a consultation group according to the first doctor responding to the consultation request in the target consultation department, determining consultation time according to the response time of the last doctor in the consultation group, and sending the consultation time to the patient;
judging whether the patient receives the consultation time, if so, generating a consultation room, and respectively sending the consultation room and the consultation time to the patient and doctors in the consultation group;
forming a polling consultation sequence according to the actual time when the doctors in the consultation room enter the consultation room, wherein the polling consultation sequence is based on the speaking sequence of the doctors in the consultation room after the patients are queried by voices;
performing at least one round of consultation according to the polling consultation sequence, and recording each round of consultation according to voice recognition to form consultation records;
after any round of consultation is finished, receiving the acceptance of the current round of inquiry by the doctors in the consultation group, if the acceptance of the current round of inquiry by the doctors is high, receiving the acceptance of the current round of inquiry by the patients, and if the acceptance of the current round of inquiry by the patients is also high, ending the polling consultation;
and after the polling consultation is finished, generating a consultation report, a medical record report and a medical advice according to the consultation record.
2. The polling-based telemedicine consultation method according to claim 1, wherein when a first consultation room is determined, the text of the disease description information is automatically participled to form a first participle table, each consultation room has a dictionary containing a plurality of keywords describing symptoms of the corresponding department, the first participle table is matched with the dictionary of each consultation room, and the consultation room corresponding to the matched keywords is the next consultation room of the patient, so as to form the first consultation room.
3. The polling-based remote medical consultation method according to claim 2, wherein when a second consultation department is determined, character recognition is performed according to historical medical record information, the historical medical record information is in a document format or a picture format, automatic word segmentation processing is performed on medical history description in the recognized historical medical record information to form a second word segmentation table, the second word segmentation table is matched with a dictionary of each consultation department, and the consultation department corresponding to the matched keyword is a department to be consulted by the patient to form the second consultation department;
and merging and screening the first consultation department and the second consultation department, taking the first consultation department as a target consultation department when the first consultation department and the second consultation department are the same, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department and the second consultation department are different, so that a consultation request is sent to all doctors in the target consultation departments.
4. The polling-based remote medical consultation method according to claim 3, wherein after all doctors in the target consultation department receive the consultation request, whether any doctor in the target consultation department receives the consultation request is judged, when at least one doctor in each consultation department in the target consultation department responds to the consultation request, the doctor in each consultation department is screened, screening is carried out according to the time for the doctor to respond to the consultation request, and the first doctor in each consultation department responding to the consultation request is screened to form a consultation group.
5. The polling-based telemedicine consultation method according to claim 4, wherein after the consultation group is formed, the consultation time is determined according to the time of the doctors in the consultation group responding to the consultation requests, the times of each doctor in the consultation group responding to the consultation requests are compared, a preset time length is added on the basis of the time of the latest consultation request response to form the consultation time, and the consultation time is sent to the patient.
6. The polling-based remote medical consultation method according to claim 5, wherein after the consultation time is sent to the patient, judging whether the patient receives the consultation time within a preset time, wherein the preset time is half of the preset time, and when the patient is judged not to receive the consultation time within the preset time, sending a short message or an AI voice call to the patient for reminding according to the basic information of the patient; when the patient is judged to have received the consultation time within the preset time, forming a consultation room, and respectively sending the consultation room and the consultation time to the patient and a doctor in the consultation group; and when the patient is judged not to receive the consultation time after the patient is reminded by sending a short message or an AI voice telephone, the consultation request is cancelled.
7. The polling-based telemedicine consultation method according to claim 6, wherein before the doctors and patients in the consultation room enter the consultation room, the doctors and patients in the consultation room are subjected to face recognition, if the verification is passed, the consultation room is entered, if the verification is not passed, the identity numbers of the doctors and patients are verified, and if the verification is not passed, early warning is performed.
8. The polling-based telemedicine consultation method according to claim 7, wherein after the doctors and the patients in the consultation room enter the consultation room, a polling consultation sequence is formed according to the actual time when the doctors in the consultation room enter the consultation room, the polling consultation sequence is based on the speech sequence of the doctors in the consultation room after the voice inquiry of the patients, at least one round of consultation is performed according to the polling consultation sequence, after any round of consultation is completed, whether the doctors in the consultation room accept the round of consultation is received, if all the doctors accept the round of consultation, the acceptance of the patient to the round of consultation is received, and if at least one doctor does not accept the round of consultation is low, the next round of consultation is entered; and when the acceptance of the current round of inquiry by the doctors in the consultation team is high, receiving whether the patients receive the current round of inquiry, if so, the acceptance is high, finishing the polling consultation, and if not, the acceptance is low, and entering the next round of consultation.
9. A polling-based telemedicine consultation system applying the polling-based telemedicine consultation method according to any one of claims 1 to 8,
the system comprises a receiving module, a consultation module and a processing module, wherein the receiving module is used for receiving a consultation request initiated by a patient, and the consultation request comprises basic information of the patient, disease description information and historical medical record information;
the first processing module is used for determining a first consultation department according to keywords in the disease description information, determining a second consultation department according to historical medical record information, taking the first consultation department as a target consultation department when the first consultation department is the same as the second consultation department, and taking the first consultation department and the second consultation department as target consultation departments when the first consultation department is different from the second consultation department, and sending a diagnosis request to all doctors in the target consultation departments;
the second processing module is used for judging whether a doctor in the target consultation department receives the consultation request or not, if the doctor in the target consultation department receives the consultation request, a consultation group is formed according to the first doctor responding to the consultation request in the target consultation department, the consultation time is determined according to the response time of the last doctor in the consultation group, and the consultation time is sent to the patient;
the third processing module is used for judging whether the patient receives the consultation time, if so, generating a consultation room, and respectively sending the consultation room and the consultation time to the patient and doctors in the consultation group;
a forming module, configured to form a polling consultation sequence according to an actual time when a doctor in the consultation room enters the consultation room, where the polling consultation sequence is based on a speech sequence of the doctor in the consultation room after the patient is queried by the voice;
the consultation module is used for carrying out at least one round of consultation according to the polling consultation sequence, recording each round of consultation according to voice recognition and forming consultation records;
the fourth processing module is used for receiving the receptivity of the doctors in the consultation group to the current round of inquiry after any round of consultation is finished, receiving the receptivity of the patients to the current round of inquiry if the receptivity of the doctors to the current round of inquiry is high, and ending the polling consultation if the receptivity of the patients to the current round of inquiry is also high;
and the generation module is used for generating a consultation report, a medical record report and a medical advice according to the consultation record after the polling consultation is finished.
10. The polling-based telemedicine consultation system according to claim 9, wherein the first processing module comprises a first determining unit for determining a first consultation room according to a keyword in the disease description information, a second determining unit for determining a second consultation room according to historical medical record information, an analyzing unit for regarding the first consultation room as a target consultation room when the first and second consultation rooms are identical, and regarding the first and second consultation rooms as target consultation rooms when the first and second consultation rooms are different, and a first transmitting unit for transmitting consultation requests to all doctors of the corresponding departments;
the second processing module comprises a first judging unit, a forming unit, a third determining unit and a second sending unit, wherein the first judging unit is used for judging whether a doctor in the target consultation department receives a consultation request, the forming unit is used for forming a consultation group according to the first doctor in the target consultation department responding to the consultation request, the third determining unit is used for determining consultation time according to the response time of the last doctor in the consultation group, and the second sending unit is used for sending the consultation time to the patient;
the third processing module comprises a second judging unit, a generating unit and a third sending unit, the second judging unit is used for judging whether the patient receives the consultation time, the generating unit is used for generating a consultation room after the patient receives the consultation time, and the third sending unit is used for respectively sending the consultation room and the consultation time to the patient and a doctor of the consultation group;
the fourth processing module comprises a first receiving unit, a second receiving unit and a judging unit, the first receiving unit is used for receiving the acceptance of the current round of inquiry by the doctors in the consultation group after any round of consultation is finished, the second receiving unit is used for receiving the acceptance of the current round of inquiry by the patients when the acceptance of the current round of inquiry by the doctors is high, and the judging unit is used for judging the acceptance of the current round of inquiry by the doctors and the patients in the consultation group.
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