CN115936263A - Intelligent appointment registration and diagnosis optimization method, electronic equipment and storage medium - Google Patents
Intelligent appointment registration and diagnosis optimization method, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention discloses an intelligent appointment registration and diagnosis optimization method, electronic equipment and a storage medium, belonging to the technical field of registration appointment, and comprising the following steps: opening appointment denominations in different time periods in the last week according to the inquiry number arranged by a doctor every day; acquiring basic symptom information of a patient, and recommending a corresponding inquiry doctor list; the patient makes registration appointment in the recommended inquiry doctor list or selects other doctors to make inquiry appointment; after the patient registration appointment is completed, the system sets corresponding reminding frequency according to the remaining time length close to the inquiry time to carry out inquiry reminding and information confirmation on the patient. The invention can recommend the corresponding inquiry doctor list according to the basic symptom information of the patient, improves the inquiry matching accuracy, can set the corresponding reminding frequency according to the residual time length close to the inquiry time to carry out inquiry reminding and information confirmation on the patient, avoids the waste of reservation resources and improves the registration reservation efficiency.
Description
Technical Field
The invention relates to the technical field of registration appointment, in particular to an intelligent appointment registration and diagnosis optimizing method, electronic equipment and a storage medium.
Background
The hospital appointment registration system is a system which is convenient for a patient to make an appointment for seeing a doctor by using channels such as a fixed telephone, a website, a mobile phone, a short message and the like in a hospital. The hospital provides the appointment registration system, which has great significance for facilitating the hospitalization of the masses and improving the medical service level, and the appointment registration service is implemented, so that the hospitalization consultation of the patients is facilitated, the hospitalization plan is arranged in advance, and the waiting time is shortened. At present, many hospitals for implementing the appointment registration service and companies engaged in related services exist in China, but the appointment system has defects in the aspects of convenience in use, humanization, comprehensization and the like. Some patients do not know the distinction of each department, are unclear which department the patient should hang under according to the registration of the disease of the patient, still some patients work busy at ordinary times, sometimes forget to make an appointment by themselves, or forget to cancel the appointment of the inquiry before the time of the inquiry suddenly, so that the inquiry efficiency is low, various inconveniences are caused, and the diagnosis efficiency and the experience of the online reservation registration system are reduced.
Disclosure of Invention
The present invention is directed to solving, at least in part, one of the technical problems in the related art. Therefore, the invention provides an intelligent appointment registration and diagnosis optimizing method, electronic equipment and a storage medium, the method can recommend a corresponding inquiry doctor list according to the basic symptom information of the patient, the inquiry matching accuracy is improved, the corresponding reminding frequency can be set according to the remaining time length of the time close to the inquiry, the inquiry reminding and the information confirmation can be carried out on the patient, the waste of appointment resources is avoided, and the efficiency of registration appointment is improved.
In order to achieve the above object, in a first aspect, the present application provides an intelligent appointment registration and diagnosis optimization method, including: opening appointment denominations in different time periods in the last week according to the inquiry number arranged by a doctor every day;
acquiring basic symptom information of a patient, and recommending a corresponding inquiry doctor list;
the patient makes registration appointment in the recommended inquiry doctor list or selects other doctors to make inquiry appointment;
after the patient registration appointment is completed, the system sets corresponding reminding frequency according to the remaining time length close to the inquiry time to carry out inquiry reminding and information confirmation on the patient.
Preferably, the step of obtaining the basic symptom information of the patient comprises obtaining keyword features through voice input and text input, wherein the keyword features comprise body part keyword information, body organ keyword information, patient feeling keyword information and patient historical disease keyword information.
Preferably, recommending the corresponding inquiry doctor list comprises performing feature matching according to all the obtained keyword features and the department where the doctor is located, wherein the priority ranking of the keyword features sequentially comprises the historical disease keyword information, the body organ keyword information and the body part keyword information of the patient from high to low.
Preferably, the method comprises the steps of carrying out feature matching on all acquired keyword features and departments where doctors are located according to a feature matching strategy, wherein the feature matching strategy is configured to select corresponding special departments according to historical disease keyword information when the keyword features comprise historical disease keyword information of patients, and generate a disease matching degree value according to the total correlation degree of other keyword features and the historical disease keyword information;
when the key word characteristics do not have the key word information of the historical disease of the patient and have the key word information of the body organ, selecting the corresponding special department according to the key word information of the body organ, and generating a disease matching degree value according to the total correlation degree of other key word characteristics and the key word information of the body organ;
and if the key word characteristics do not contain the key word information of the historical symptoms of the patient and the key word information of the body organs, selecting a corresponding large-category department according to the key word information of the body parts.
Preferably, the visit optimization method further comprises:
receiving an inquiry reply confirmation message identifying the patient to confirm whether the patient can be inquired on time;
if the patient needs to change the inquiry time, acquiring the inquiry time to be changed by the patient, inquiring whether a doctor of a department selected by the patient in the reservation system has a spare denomination in the time period, and if so, confirming the changed inquiry time and sending the changed inquiry time to the patient for confirmation; if not, other doctors in the same department are recommended to ask for the free-standing time period in the day and the doctor in the selected department asks for the free-standing time period list in the day for the patient to select.
Preferably, the step of setting a corresponding reminding frequency by the system according to the remaining time length of the period of time close to the inquiry to remind the patient for inquiry and confirm the information comprises the following steps:
when the remaining time from the inquiry time is more than 3 days, short message reminding and information confirmation are performed only once after the appointment is successful;
when the remaining time from the inquiry time is less than or equal to 3 days, short message reminding and information confirmation are performed once a day;
when 5 hours remain on the inquiry day from the inquiry time, sending short message reminding and information confirmation;
when the inquiry time is more than or equal to 5 hours, if the patient needs to change the appointment time, the patient needs to log in an appointment system to change the appointment by himself.
Preferably, the system sets a corresponding reminding frequency according to the remaining time duration of the time close to the inquiry and performs inquiry reminding and information confirmation on the patient further comprises: when 2 hours remain on the day of the inquiry from the inquiry time, the telephone contacts the patient for reminding and information confirmation, and if the patient needs to change the appointment time, the following operations are automatically executed:
acquiring an appointment time which a patient wants to change;
inquiring whether the current appointment inquiry doctor has an available nominal amount in the time period;
if the current appointment inquiry doctor has an available nominal amount in the time period, directly making an appointment, and canceling the previous appointment state after the appointment is successful;
if the current appointment consulting doctor has no free name in the time period, the appointment time that the patient wants to change is registered on the system for waiting.
Preferably, when the waiting time reaches the first time, the patient is contacted again by telephone to inquire whether to continue waiting or to select other doctors to make an appointment or directly cancel the current appointment;
if the patient selects doctors in other departments to make an appointment, the keyword features and the disease matching value generated by inquiring the patient before are called;
if the keyword features comprise historical disease keyword information or body organ keyword information of the patient and the disease matching degree value is larger than a first threshold value, selecting a doctor with an empty nominal amount in the appointment time period in the currently selected department for appointment, and otherwise, manually inquiring the patient symptoms and selecting the doctor in the corresponding department for appointment of inquiry.
In a second aspect, the present application provides an electronic device comprising a processor and a memory, wherein the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the steps of the method as described in any one of the above are executed.
In a third aspect, the present application provides a storage medium having a computer program stored thereon, which, when executed by a processor, performs the steps of the method as described in any one of the above.
Compared with the prior art, the invention has the beneficial effects that:
the invention can recommend the corresponding inquiry doctor list according to the basic symptom information of the patient, does not need the patient to select a department by himself, improves the ordering convenience and the inquiry matching accuracy, can set the corresponding reminding frequency according to the remaining time of the time close to the inquiry to carry out inquiry reminding and information confirmation on the patient, avoids the waste of ordering resources, and improves the registration ordering efficiency and convenience.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application.
Drawings
FIG. 1 is a flowchart of a first embodiment of an intelligent appointment registration and diagnosis optimization method according to the present invention;
FIG. 2 is a flowchart of a second embodiment of an intelligent appointment registration and diagnosis optimization method according to the present invention;
fig. 3 is a connection block diagram of an electronic device according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a first embodiment of the present invention provides an intelligent appointment registration and visit optimization method, which includes:
s1, opening appointment denominations in different time periods in the last week according to the inquiry number arranged by doctors every day;
s2, obtaining basic symptom information of the patient, and recommending a corresponding inquiry doctor list;
s3, the patient makes registration appointment in the recommended inquiry doctor list or selects other doctors to make inquiry appointment;
and S4, after the patient registration appointment is completed, the system sets corresponding reminding frequency according to the remaining time length close to the inquiry time to carry out inquiry reminding and information confirmation on the patient.
Specifically, in this embodiment, the obtaining of the basic symptom information of the patient includes obtaining keyword features through a voice input mode and a text input mode, and the patient can select a corresponding information input mode by himself (this part is the prior art and is not described herein again), where the keyword features include body part keyword information, body organ keyword information, patient feeling keyword information, and patient history disease keyword information. The body part keyword information includes, but is not limited to, head, neck, shoulder, arm, leg, waist, foot, and hand; the body organ keyword information includes but is not limited to various body organs such as brain, retina, heart, lung, knee joint, thyroid, liver, etc.; the patient experience keyword information comprises, but is not limited to, sick experience words such as dizziness, hypodynamia, cramps and vomit, and words representing different degrees of pain such as labor pain, angina and stabbing pain; the key word information of the historical symptoms of the patient comprises but is not limited to diabetes, heart disease, hypertension, frequent micturition, scapulohumeral periarthritis, cervical spondylosis, osteoporosis, hemorrhoids, vaginitis and the like.
Preferably, recommending the corresponding list of the consulting doctors comprises performing feature matching according to all the obtained keyword features and departments where the doctors are located, wherein the priority ranking of the keyword features sequentially comprises the historical disease keyword information, the body organ keyword information and the body part keyword information of the patients from high to low. Generally, the historical disease keyword information of the patient can reflect the diseased information of the patient more accurately, so that the method and the system can perform feature matching on all acquired keyword features and departments where doctors are located according to a feature matching strategy. The departments are generally divided into specialized departments (such as diabetes outpatient service, thyroid specialized clinic, pituitary adrenal specialized clinic, digestion-stomach disease outpatient service, digestion-esophagus disease outpatient service and the like) and large-class departments (digestive system, bone surgery, vascular surgery, pain outpatient service, neurology and the like), and the characteristic matching strategy is configured to select the corresponding specialized departments according to the historical disease keyword information when the historical disease keyword information of the patient exists in the keyword characteristics, and generate a disease matching value according to the total correlation degree of other keyword characteristics and the historical disease keyword information; when the key word characteristics do not have the key word information of the historical disease of the patient and have the key word information of the body organ, selecting the corresponding special department according to the key word information of the body organ, and generating a disease matching degree value according to the total correlation degree of other key word characteristics and the key word information of the body organ; and if the key word characteristics do not contain the key word information of the historical symptoms of the patient and the key word information of the body organs, selecting a corresponding large-category department according to the key word information of the body parts. Historical disease keyword information, matching values between the body organ keyword information and the body part keyword information, and matching values between the historical disease keyword information, the body organ keyword information and the body part keyword information and the patient feeling keyword information are stored in the database, and the total correlation is obtained by calculating an average value of the matching values.
As shown in fig. 2, a flowchart of a second embodiment of the intelligent appointment registration and diagnosis optimization method according to the present invention further includes:
s5, receiving inquiry reply confirmation information for identifying the patient to confirm whether the patient can be inquired on time;
s6, if the patient needs to change the inquiry time, acquiring the inquiry time to be changed by the patient, inquiring whether a doctor of a department selected by the patient in the reservation system has a spare denomination in the time period, and if so, confirming the changed inquiry time and sending the changed inquiry time to the patient for confirmation; if not, other doctors in the same department are recommended to ask for the free-standing time period in the day and other inquiry time period lists with the free-standing time periods in the day for the patient to select.
Wherein, further, the system sets corresponding reminding frequency according to the remaining time length close to the inquiry time to carry out inquiry reminding and information confirmation for the patient comprises:
when the remaining time from the inquiry time is more than 3 days, short message reminding and information confirmation are performed only once after the appointment is successful;
when the remaining time from the inquiry time is less than or equal to 3 days, short message reminding and information confirmation are performed once a day;
when 5 hours remain on the inquiry day from the inquiry time, sending short message reminding and information confirmation;
if the patient needs to change the appointment time when the distance inquiry time is greater than or equal to 5 hours (i.e. in the three cases), the patient needs to log in the appointment system to change the appointment automatically according to the operations of the steps S5 and S6.
Preferably, the system sets a corresponding reminding frequency according to the remaining time duration of the time close to the inquiry and performs inquiry reminding and information confirmation on the patient further comprises: when 2 hours remain on the day of the inquiry from the inquiry time, the telephone contacts the patient for reminding and information confirmation, and if the patient needs to change the appointment time, the following operations are automatically executed:
acquiring an appointment time which a patient wants to change;
inquiring whether the current appointment inquiry doctor has an available nominal amount in the time period;
if the current appointment inquiry doctor has an available nominal amount in the time period, directly making an appointment, and canceling the previous appointment state after the appointment is successful;
if the current appointment consulting doctor has no free name in the time period, the appointment time which the patient wants to change is registered on the system to wait until the free name appears.
The appointment time coordination can be conveniently carried out among a plurality of patients on the inquiry day when the patients can not be seen on time due to the sudden burst of various temporary conditions.
Preferably, when the waiting time reaches the first time, the patient is contacted again by telephone to inquire whether to continue waiting or select other doctors to make an appointment or directly cancel the current appointment; wherein, the first time can be set to 10 minutes or 20 minutes according to actual conditions.
If the patient selects doctors in other departments to make an appointment, the keyword features and the disease matching value generated by inquiring the patient before are called;
if the keyword features comprise historical disease keyword information or body organ keyword information of the patient and the disease matching degree value is larger than a first threshold value, selecting a doctor with an empty nominal amount in the appointment time period in the currently selected department for appointment, and otherwise, manually inquiring the patient symptoms and selecting the doctor in the corresponding department for appointment of inquiry. The disease matching degree value can be obtained directly according to a database constructed in advance, and the disease matching degree values of different patient historical disease keyword information or body organ keyword information can be obtained directly. The first threshold value may be set according to actual conditions.
According to the scheme, the patient is contacted by the telephone to remind the appointment time and change the appointment time within the last 2 hours, so that the arrival rate of the patient and the convenience degree of change of the appointment time can be greatly improved.
The invention can recommend the corresponding inquiry doctor list according to the basic symptom information of the patient, does not need the patient to select a department by himself, improves the ordering convenience and the inquiry matching accuracy, can set the corresponding reminding frequency according to the remaining time of the time close to the inquiry to carry out inquiry reminding and information confirmation on the patient, avoids the waste of ordering resources, and improves the registration ordering efficiency and convenience.
In a second aspect, the present application provides an electronic device, comprising a processor 202 and a memory 201, wherein the memory 201 stores computer-readable instructions, and the steps of the above method are executed when the computer-readable instructions are executed by the processor 202. By the above technical solution, the processor 202 and the memory 201 are interconnected and communicate with each other through a communication bus and/or other form of connection mechanism (not shown), the memory 201 stores a computer program executable by the processor, and when the electronic device runs, the processor 202 executes the computer program to execute the method in any optional implementation manner of the foregoing embodiment to implement the following functions: the corresponding inquiry doctor list can be recommended according to the basic symptom information of the patient, the inquiry matching accuracy is improved, the corresponding reminding frequency can be set according to the remaining time length of the time close to the inquiry, inquiry reminding and information confirmation can be carried out on the patient, the waste of reservation resources is avoided, and the registration reservation efficiency is improved.
In a third aspect, the present application provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method as described in any one of the above.
Through the technical scheme, when being executed by a processor, the computer program executes the method in any optional implementation manner of the embodiment to realize the following functions: the corresponding inquiry doctor list can be recommended according to the basic symptom information of the patient, the inquiry matching accuracy is improved, the corresponding reminding frequency can be set according to the remaining time length of the time close to the inquiry, inquiry reminding and information confirmation can be carried out on the patient, the waste of reservation resources is avoided, and the registration reservation efficiency is improved.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the medium. The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
Claims (10)
1. An intelligent appointment registration and diagnosis optimization method is characterized by comprising the following steps:
opening appointment denominations in different time periods in the last week according to the inquiry number arranged by a doctor every day;
acquiring basic symptom information of a patient, and recommending a corresponding inquiry doctor list;
the patient makes a registration appointment under the recommended inquiry doctor list or selects other doctors to make an inquiry appointment by himself;
after the patient registration appointment is completed, the system sets corresponding reminding frequency according to the remaining time length close to the inquiry time to carry out inquiry reminding and information confirmation on the patient.
2. The intelligent appointment registration and diagnosis optimization method according to claim 1, wherein the obtaining of the basic symptom information of the patient comprises obtaining keyword features through voice input and text input, wherein the keyword features comprise body part keyword information, body organ keyword information, patient feeling keyword information and patient history disease keyword information.
3. The intelligent appointment registration and diagnosis optimization method according to claim 2, wherein recommending the corresponding doctor interviewing list comprises performing feature matching according to all the obtained keyword features and the department where the doctor is located, wherein the priority ranking of the keyword features sequentially comprises the keyword information of the historical symptoms, the keyword information of the body organs and the keyword information of the body parts of the patient from high to low.
4. The intelligent appointment registration and diagnosis optimization method according to claim 3, wherein feature matching is performed on all the obtained keyword features and departments where doctors are located according to a feature matching strategy, the feature matching strategy is configured to select corresponding special departments according to historical disease keyword information when the patient historical disease keyword information exists in the keyword features, and a disease matching degree value is generated according to the total correlation degree of other keyword features and the historical disease keyword information;
when the key word characteristics do not have the key word information of the historical disease of the patient and have the key word information of the body organ, selecting the corresponding special department according to the key word information of the body organ, and generating a disease matching degree value according to the total correlation degree of other key word characteristics and the key word information of the body organ;
and if the key word characteristics do not contain the key word information of the historical symptoms of the patient and the key word information of the body organs, selecting a corresponding large-category department according to the key word information of the body parts.
5. The intelligent appointment registration and visit optimization method according to claim 4, further comprising:
receiving an inquiry reply confirmation message identifying the patient to confirm whether the patient can be inquired on time;
if the patient needs to change the inquiry time, acquiring the inquiry time to be changed by the patient, inquiring whether a doctor of a department selected by the patient in the reservation system has a spare denomination in the time period, and if so, confirming the changed inquiry time and sending the changed inquiry time to the patient for confirmation; if not, other doctors in the same department are recommended to ask for the free-standing time period in the day and the doctor in the selected department asks for the free-standing time period list in the day for the patient to select.
6. The intelligent appointment registration and visit optimization method according to claim 5, wherein the system sets a corresponding reminding frequency according to the remaining time duration of the time close to the inquiry and the information confirmation for the patient comprises:
when the remaining time from the inquiry time is more than 3 days, short message reminding and information confirmation are performed only once after the appointment is successful;
when the remaining time from the inquiry time is less than or equal to 3 days, short message reminding and information confirmation are performed once a day;
when 5 hours remain in the inquiry time on the inquiry day, sending short message reminding and information confirmation;
when the inquiry time is more than or equal to 5 hours, if the patient needs to change the appointment time, the patient needs to log in an appointment system to change the appointment by himself.
7. The intelligent appointment registration and visit optimization method according to claim 6, wherein the system sets a corresponding reminding frequency according to the remaining time duration of the time close to the inquiry and the patient is subjected to inquiry reminding and information confirmation, further comprising: when 2 hours remain on the day of the inquiry from the inquiry time, the telephone contacts the patient for reminding and information confirmation, and if the patient needs to change the appointment time, the following operations are automatically executed:
acquiring an appointment time which a patient wants to change;
inquiring whether the current appointment inquiry doctor has an available nominal amount in the time period;
if the current appointment inquiry doctor has an available nominal amount in the time period, directly making an appointment, and canceling the previous appointment state after the appointment is successful;
if the current appointment consulting doctor has no free name in the time period, the appointment time that the patient wants to change is registered on the system for waiting.
8. The intelligent appointment registration and diagnosis optimization method according to claim 7, wherein when the waiting time reaches the first time, the patient is called again to ask whether to continue waiting or select other doctors to make an appointment or to cancel the current appointment directly;
if the patient selects doctors in other departments to make an appointment, the keyword features and the disease matching value generated by inquiring the patient before are called;
if the keyword characteristics comprise the historical disease keyword information or the body organ keyword information of the patient and the disease matching degree value is larger than a first threshold value, a doctor with a vacant name in the appointment time period is selected in the currently selected department for appointment, otherwise, the patient symptoms are inquired by a manual telephone and the doctor in the corresponding department is selected for inquiry appointment.
9. An electronic device comprising a processor and a memory, said memory storing computer readable instructions which, when executed by said processor, perform the steps of the method according to any one of claims 1 to 8.
10. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method according to any one of claims 1-8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116612871A (en) * | 2023-07-17 | 2023-08-18 | 济南蓝博电子技术有限公司 | Medical big data-oriented diagnosis and treatment department distribution method and system |
| CN117174341A (en) * | 2023-11-01 | 2023-12-05 | 深圳市健怡康医疗器械科技有限公司 | Speech recognition medical assistant system and method based on artificial intelligence |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104951839A (en) * | 2015-05-28 | 2015-09-30 | 深圳市前海安测信息技术有限公司 | Self-service registration information changing method, self-service registration information changing system, user terminal and hospital server |
| CN105260782A (en) * | 2015-09-23 | 2016-01-20 | 百度在线网络技术（北京）有限公司 | Method and device for processing reserved registration information |
| WO2017045329A1 (en) * | 2015-09-18 | 2017-03-23 | 中兴通讯股份有限公司 | Registration method and system |
| CN109119148A (en) * | 2018-09-06 | 2019-01-01 | 泰康保险集团股份有限公司 | Reserving method and device |
| CN109215768A (en) * | 2018-08-09 | 2019-01-15 | 上海常仁信息科技有限公司 | A kind of appointment registration system and method based on robot |
-
2023
- 2023-02-22 CN CN202310147249.4A patent/CN115936263A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104951839A (en) * | 2015-05-28 | 2015-09-30 | 深圳市前海安测信息技术有限公司 | Self-service registration information changing method, self-service registration information changing system, user terminal and hospital server |
| WO2017045329A1 (en) * | 2015-09-18 | 2017-03-23 | 中兴通讯股份有限公司 | Registration method and system |
| CN105260782A (en) * | 2015-09-23 | 2016-01-20 | 百度在线网络技术（北京）有限公司 | Method and device for processing reserved registration information |
| CN109215768A (en) * | 2018-08-09 | 2019-01-15 | 上海常仁信息科技有限公司 | A kind of appointment registration system and method based on robot |
| CN109119148A (en) * | 2018-09-06 | 2019-01-01 | 泰康保险集团股份有限公司 | Reserving method and device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116612871A (en) * | 2023-07-17 | 2023-08-18 | 济南蓝博电子技术有限公司 | Medical big data-oriented diagnosis and treatment department distribution method and system |
| CN116612871B (en) * | 2023-07-17 | 2023-09-29 | 济南蓝博电子技术有限公司 | Medical big data-oriented diagnosis and treatment department distribution method and system |
| CN117174341A (en) * | 2023-11-01 | 2023-12-05 | 深圳市健怡康医疗器械科技有限公司 | Speech recognition medical assistant system and method based on artificial intelligence |
| CN117174341B (en) * | 2023-11-01 | 2024-03-26 | 深圳市健怡康医疗器械科技有限公司 | Speech recognition medical assistant system and method based on artificial intelligence |
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