CN112102905A - Intelligent medical cloud service platform - Google Patents
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Abstract
The invention discloses a smart medical cloud service platform which comprises a user registration login module, a patient information acquisition module, a doctor online service module, a data processing module, a data analysis module, a retrieval information processing module, an information feedback module, a big data calling module, a data storage module, a master control module, a data sorting module, a dump module and a cloud storage module. The cloud service platform can realize simultaneous online consultation of doctors and patients, and after the patients upload information, the system can classify departments to be visited by the patients according to keywords of the uploaded information, so that one-to-one online matching of the departments to be visited by the patients and the online departments of doctors is completed.
Description
Technical Field
The invention relates to the field of smart medical cloud service platforms, in particular to a smart medical cloud service platform.
Background
With the popularization of information systems, the development of medical informatization is rapid in China. Medical institutions in various places establish respective medical information systems to realize basic informatization. However, since there are many medical institutions and development levels are different, the medical systems are limited to the information processing of the respective institutions, and when the medical systems are used, the medical systems are limited to respective hospital areas, and due to the limitation of the medical levels, patients in areas after development cannot be well treated, and a complicated registration and treatment mechanism of the hospital is added, so that the patients cannot be effectively treated in time, and the patients in the countryside need to overcome more difficulty and pay higher cost if the patients want to obtain better treatment;
the existing intelligent cloud service platform for medical treatment has certain disadvantages, because a patient is difficult to accurately judge the diseased state to select a proper hospital and department, no matter whether the patient is a big disease or a small disease, the patient often selects a better hospital to see a doctor, when the department cannot be accurately selected, the numbers of a plurality of departments are often hung, and when the patient cannot be treated or the treatment result is unsatisfactory, the patient often directly selects a higher-level hospital to see a doctor next time, so that the burden of the higher-level hospital is gradually increased, a large amount of high-level resources of the patient are wasted due to invalid occupation, the patient really needing high-level medical treatment is difficult to see a doctor, certain influence is brought to the using process of people, and at the moment, a cloud service platform is required to realize that patients and doctors in any region of the country can simultaneously use for matching treatment, therefore, an intelligent medical cloud service platform is provided.
Disclosure of Invention
The invention mainly aims to provide an intelligent medical cloud service platform which can effectively solve the problems that patients cannot be well diagnosed and treated, selection of patient treatment departments is difficult, and tracking treatment cannot be carried out on the patients in areas with backward development in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
a smart medical cloud service platform comprises a user registration login module, a patient information acquisition module, a doctor online service module, a data processing module, a data analysis module, a retrieval information processing module, an information feedback module, a big data retrieval module, a data storage module, a master control module, a data sorting module, a transfer module and a cloud storage module;
the user registration login module is in communication connection with the patient information acquisition module and the doctor online service module, the patient information acquisition module and the doctor online service module are in communication connection with the data processing module, the data processing module is in communication connection with the data analysis module, the data analysis module is in communication connection with the data storage module, the doctor online service module is also in communication connection with the data storage module, the data storage module is in communication connection with the dump module, the dump module is in communication connection with the cloud storage module, the data storage module is in communication connection with the master control module, the master control module is in communication connection with the data sorting module, the cloud storage module is in communication connection with the big data retrieval module, the big data retrieval module is in communication connection with the information feedback module, and the information feedback module is in communication connection with the retrieval information processing module, the retrieval information processing module is in communication connection with the retrieval module, and the patient information acquisition module is also in communication connection with the retrieval module;
the user registration login module is used for user registration and login, and the user comprises: the system comprises a patient, a doctor and a platform manager, wherein the patient and the doctor upload personal basic information through a user registration login module when a user registers, and the personal basic information comprises a contact way and a payment account; the contact way comprises a mailbox and a mobile phone number, a payment account is used for paying and refunding a user, and a platform manager maintains and manages the whole cloud service platform;
the patient information acquisition module is used for acquiring the uploading information of the patient, and the uploading information of the patient comprises: the medical examination report information, the doctor diagnosis information and the patient self-reflection information, the doctor online service module is used for collecting the department information of the online doctor, and the department information comprises: internal medicine, surgery, pediatrics, gynecology, andrology, infectious disease, dermatology, oncology and orthopedics;
the data processing module is used for processing the received uploaded information of the patient and the information of departments to which the online doctors belong, processing the received uploaded information of the patient into internal diseases, surgical diseases, pediatric diseases, gynecological diseases, andropathy, infectious diseases, skin diseases, oncology diseases and orthopedic diseases, and processing the received information of departments to which the online doctors belong into online internal medicines, online surgeries, online pediatrics, online obstetrics and gynecology, online andrology, online infectious diseases, online dermatology, online oncology and online orthopedics;
the data analysis module is used for analyzing the information uploaded by the patient and the information of departments to which the online doctor belongs, wherein the information after processing is matched and paired in the analysis process, online one-to-one diagnosis and treatment are realized, the analyzed data information is sent to the data storage module, the personal case file of the patient is established, the data stored in the data storage module is transferred to the cloud storage module by the transfer module for backup storage, and the backup storage information comprises: uploading information, matching successfully department doctor information and online doctor diagnosis information to the patient so as to compare and inquire the state of illness again next time;
the data storage module is pre-stored with different department classification diagnosis keywords, the data storage module sends the analysis result of the data analysis module to the master control module, and the master control module is used for converting the analysis result into a control signal, transmitting the control signal to the user login interface and displaying the medical diagnosis result to a patient.
Further, the specific process of uploading information by the patient is as follows:
the method comprises the following steps: extracting keywords in physical examination report information, doctor diagnosis information and patient self-reflection information uploaded by a patient, wherein the data storage module is prestored with different department classification diagnosis keywords, the prestored keywords are labeled as Kzi, i is 1 … … n, the internal medicine prestored keywords are labeled as Kz1, the surgical prestored keywords are labeled as Kz2, the pediatric prestored keywords are labeled as Kz3, the obstetrical prestored keywords are labeled as Kz4, the andrology prestored keywords are labeled as Kz5, the infectious disease prestored keywords are labeled as Kz6, the dermatologic prestored keywords are labeled as Kz7, the oncologic prestored keywords are labeled as Kz8 and the orthopedic prestored keywords are labeled as Kz 9;
step two: marking an upload information keyword as Czi, i is 1 … … n;
step three: comparing Czi with Kzi and matching;
step four: when any one of Czi and Kzi is matched, the data after the matching is passed is sent to the data processing module for processing, and the department to be inquired by the patient is compared, and when the matching result shows that a plurality of groups of Kzi and Czi keywords are similar, the corresponding departments are inquired by the patient.
Further, the specific processing procedure during matching and pairing in the data analysis module is as follows:
the method comprises the following steps: extracting department information of an online doctor, marking a department keyword of the online doctor as Dzi, i is 1 … … n, wherein the online medical keyword is marked as Dz1, the online surgical keyword is marked as Dz2, the online pediatric keyword is marked as Dz3, the online obstetrics and gynecology keyword is marked as Dz4, the online andrology keyword is marked as Dz5, the online infectious disease department keyword is marked as Dz6, the online dermatology keyword is marked as Dz7, the online oncology keyword is marked as Dz8 and the online orthopedics keyword is marked as Dz 9;
step two: comparing Czi with Dzi and matching;
step three: when any one of Czi and Dzi is matched, the data after the matching is passed is sent to the data processing module for processing, one-to-one pairing diagnosis of the patient and the online doctors is realized, and when the matching results show that a plurality of groups of Dzi and Czi keywords are similar, the patient needs to consult a plurality of corresponding department online doctors.
Furthermore, information of departments to which online doctors belong and medical diagnosis results of each time are transmitted to the data storage module for storage, on one hand, the patient diagnosis information is generated through the data processing module and the data analysis module and stored as individual patient case files, on the other hand, the patient diagnosis information is directly stored as template cases through the online doctor service module, and online inquiry and diagnosis of other patients are facilitated.
Further, the retrieval module is only used for patients who use the cloud service platform for two or more times, the patients upload the uploaded information of the patients through the retrieval module, and the specific processing process of the retrieved information is as follows:
the method comprises the following steps: extracting the uploaded information, and marking the information uploaded by the patient in real time as A;
step two: marking the previous personal case archive information of the patient stored in the cloud storage module as B;
step three: when the uploaded information A is larger than the personal case file information B and is within a preset value range, inquiring the information content to be the improvement of the state of an illness, reminding the patient to perform regular physical examination, and paying attention to observing the physical condition;
step four: when the uploaded information A is larger than the personal case file information B and is not in the preset value range, inquiring the information content to improve the state of an illness, and reminding the patient to continue to cooperate with the doctor for treatment;
step five: when the uploaded information A < the personal case file information B, the information content is inquired to be the disease deterioration, and the patient is reminded to actively cooperate with the treatment in compliance with the medical advice.
Furthermore, the retrieval module is only used for patients who use the cloud service platform for two or more times, the patients upload information of the patients through the retrieval module, the big data calling module is used for calling past personal case files and sending the called personal case files to the retrieval information processing module through the information feedback module, and the retrieval information processing module can compare and analyze the called personal case files and the information uploaded by the patients in the retrieval module to judge the state of the patients, pre-judge whether the state of the patients is improved or deteriorated, and provide corresponding suggestions and treatment schemes.
Compared with the prior art, the invention has the following beneficial effects:
1. the system can realize simultaneous online consultation of doctors and patients through the arranged patient information acquisition module and the doctor online service module, can classify departments to be consulted by the patients according to keywords of uploaded information after the patients upload the information, effectively reduces the link that the doctors need to consult the consulting table, simultaneously, the doctors log in the system, the data processing module processes the uploaded information and the logging online state of the doctors and the patients, the data analysis module analyzes the processed information, one-to-one online matching of the departments to be consulted by the patients and the doctors online departments is completed, when the patients have various diseases, the system can correspondingly match the online departments to be consulted, wherein the information of the departments to which the online doctors belong and the each hospitalizing diagnosis result are transmitted to the data storage module to be stored, on one hand, the patient diagnosis information generated by the data processing module and the data analysis module is stored as a patient personal case file, and on the other hand, the patient diagnosis information is directly stored as a template case through the doctor online service module, so that the online inquiry and treatment of other patients are facilitated;
2. the retrieval module is only used for patients who use the cloud service platform for two times or more, the patients upload information uploaded by the patients through the retrieval module, the big data calling module is used for calling past personal case files and sending the called personal case files to the retrieval information processing module through the information feedback module, the retrieval information processing module can compare and analyze the called personal case files with the information uploaded by the patients in the retrieval module to judge the state of illness of the patients, pre-judge whether the state of illness of the patients is improved or deteriorated, and provide corresponding suggestions and treatment schemes, so that tracking treatment in the treatment time period of the patients can be realized, and rehabilitation treatment of the patients is facilitated.
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Fig. 1 is a system block diagram of a smart medical cloud service platform according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1, a smart medical cloud service platform includes a user registration login module, a patient information acquisition module, a doctor online service module, a data processing module, a data analysis module, a retrieval information processing module, an information feedback module, a big data retrieval module, a data storage module, a master control module, a data sorting module, a dump module and a cloud storage module;
the user registration login module is in communication connection with the patient information acquisition module and the doctor online service module, the patient information acquisition module and the doctor online service module are in communication connection with the data processing module, the data processing module is in communication connection with the data analysis module, the data analysis module is in communication connection with the data storage module, the doctor online service module is also in communication connection with the data storage module, the data storage module is in communication connection with the dump module, the dump module is in communication connection with the cloud storage module, the data storage module is in communication connection with the master control module, the master control module is in communication connection with the data sorting module, the cloud storage module is in communication connection with the big data retrieval module, the big data retrieval module is in communication connection with the information feedback module, and the information feedback module is in communication connection with the retrieval information processing module, the retrieval information processing module is in communication connection with the retrieval module, and the patient information acquisition module is also in communication connection with the retrieval module;
the user registration login module is used for user registration and login, and the user comprises: the system comprises a patient, a doctor and a platform manager, wherein the patient and the doctor upload personal basic information through a user registration login module when a user registers, and the personal basic information comprises a contact way and a payment account; the contact way comprises a mailbox and a mobile phone number, a payment account is used for paying and refunding a user, and a platform manager maintains and manages the whole cloud service platform;
the patient information acquisition module is used for acquiring the uploading information of the patient, and the uploading information of the patient comprises: the medical examination report information, the doctor diagnosis information and the patient self-reflection information, the doctor online service module is used for collecting the department information of the online doctor, and the department information comprises: internal medicine, surgery, pediatrics, gynecology, andrology, infectious disease, dermatology, oncology and orthopedics;
the data processing module is used for processing the received uploaded information of the patient and the information of departments to which the online doctors belong, processing the received uploaded information of the patient into internal diseases, surgical diseases, pediatric diseases, gynecological diseases, andropathy, infectious diseases, skin diseases, oncology diseases and orthopedic diseases, and processing the received information of departments to which the online doctors belong into online internal medicines, online surgeries, online pediatrics, online obstetrics and gynecology, online andrology, online infectious diseases, online dermatology, online oncology and online orthopedics;
the data analysis module is used for analyzing the information uploaded by the patient and the information of departments to which the online doctor belongs, wherein the information after processing is matched and paired in the analysis process, online one-to-one diagnosis and treatment are realized, the analyzed data information is sent to the data storage module, the personal case file of the patient is established, the data stored in the data storage module is transferred to the cloud storage module by the transfer module for backup storage, and the backup storage information comprises: uploading information, matching successfully department doctor information and online doctor diagnosis information to the patient so as to compare and inquire the state of illness again next time;
the data storage module is pre-stored with different department classification diagnosis keywords, the data storage module sends the analysis result of the data analysis module to the master control module, and the master control module is used for converting the analysis result into a control signal, transmitting the control signal to the user login interface and displaying the medical diagnosis result to a patient.
The specific processing procedure of uploading information by the patient is as follows:
the method comprises the following steps: extracting keywords in physical examination report information, doctor diagnosis information and patient self-reflection information uploaded by a patient, wherein the data storage module is prestored with different department classification diagnosis keywords, the prestored keywords are labeled as Kzi, i is 1 … … n, the internal medicine prestored keywords are labeled as Kz1, the surgical prestored keywords are labeled as Kz2, the pediatric prestored keywords are labeled as Kz3, the obstetrical prestored keywords are labeled as Kz4, the andrology prestored keywords are labeled as Kz5, the infectious disease prestored keywords are labeled as Kz6, the dermatologic prestored keywords are labeled as Kz7, the oncologic prestored keywords are labeled as Kz8 and the orthopedic prestored keywords are labeled as Kz 9;
step two: marking an upload information keyword as Czi, i is 1 … … n;
step three: comparing Czi with Kzi and matching;
step four: when any one of Czi and Kzi is matched, the data after the matching is passed is sent to the data processing module for processing, and the department to be inquired by the patient is compared, and when the matching result shows that a plurality of groups of Kzi and Czi keywords are similar, the corresponding departments are inquired by the patient.
The specific processing procedure during matching and pairing in the data analysis module is as follows:
the method comprises the following steps: extracting department information of an online doctor, marking a department keyword of the online doctor as Dzi, i is 1 … … n, wherein the online medical keyword is marked as Dz1, the online surgical keyword is marked as Dz2, the online pediatric keyword is marked as Dz3, the online obstetrics and gynecology keyword is marked as Dz4, the online andrology keyword is marked as Dz5, the online infectious disease department keyword is marked as Dz6, the online dermatology keyword is marked as Dz7, the online oncology keyword is marked as Dz8 and the online orthopedics keyword is marked as Dz 9;
step two: comparing Czi with Dzi and matching;
step three: when any one of Czi and Dzi is matched, the data after the matching is passed is sent to the data processing module for processing, one-to-one pairing diagnosis of the patient and the online doctors is realized, and when the matching results show that a plurality of groups of Dzi and Czi keywords are similar, the patient needs to consult a plurality of corresponding department online doctors.
The information of departments to which the online doctors belong and the medical diagnosis results of each time are transmitted to the data storage module for storage, on one hand, the patient diagnosis information generated by the data processing module and the data analysis module is stored as a patient personal case file, on the other hand, the patient diagnosis information is directly stored as a template case through the doctor online service module, and the online inquiry and the medical diagnosis of other patients are facilitated.
The retrieval module is only used for patients who use the cloud service platform for two times or more, the patients upload information uploaded by the patients through the retrieval module, and the specific processing process of the retrieval information is as follows:
the method comprises the following steps: extracting the uploaded information, and marking the information uploaded by the patient in real time as A;
step two: marking the previous personal case archive information of the patient stored in the cloud storage module as B;
step three: when the uploaded information A is larger than the personal case file information B and is within a preset value range, inquiring the information content to be the improvement of the state of an illness, reminding the patient to perform regular physical examination, and paying attention to observing the physical condition;
step four: when the uploaded information A is larger than the personal case file information B and is not in the preset value range, inquiring the information content to improve the state of an illness, and reminding the patient to continue to cooperate with the doctor for treatment;
step five: when the uploaded information A < the personal case file information B, the information content is inquired to be the disease deterioration, and the patient is reminded to actively cooperate with the treatment in compliance with the medical advice.
The retrieval module is only used for patients who use the cloud service platform for two or more times, the patients upload information of the patients through the retrieval module, the big data calling module is used for calling past personal case files and sending the called personal case files to the retrieval information processing module through the information feedback module, and the retrieval information processing module can compare and analyze the called personal case files and the uploaded information of the patients in the retrieval module to judge the state of illness of the patients, pre-judge whether the state of illness of the patients is improved or deteriorated, and provide corresponding suggestions and treatment schemes.
When the intelligent medical cloud service platform is used, the data processing module is used for processing received patient uploading information and department information of an online doctor, processing the received patient uploading information into internal diseases, surgical diseases, pediatric diseases, gynecological diseases, andropathy, infectious diseases, skin diseases, oncology diseases and orthopedic diseases, and processing the received department information of the online doctor into online internal medicines, online surgeries, online pediatrics, online obstetrics and gynecology, online andrology, online infectious diseases, online dermatology, online oncology and online orthopedics;
the data analysis module is used for analyzing the department information that the patient uploaded information and online doctor belonged, wherein, matches the information after handling at the analytic process and pairs, realizes online one-to-one diagnosis treatment, and sends the data information who analyzes out to the data storage module, and establishes patient's individual case archives, and the high in the clouds storage module that the module of unloading can be unloaded with the data storage of storing in the data storage module carries out backup storage, and backup storage information includes: uploading information, matching successfully department doctor information and online doctor diagnosis information to the patient so as to compare and inquire the state of illness again next time;
the data storage module is pre-stored with different department classification diagnosis confirming keywords, the data storage module sends the analysis result of the data analysis module to the master control module, and the master control module is used for converting the analysis result into a control signal, transmitting the control signal to the user login interface and displaying the medical diagnosis result to a patient. The system can realize simultaneous online consultation of doctors and patients through the arranged patient information acquisition module and the doctor online service module, can classify departments to be consulted by the patients according to keywords of uploaded information after the patients upload the information, effectively reduces the link that the doctors need to consult the consulting table, simultaneously, the doctors log in the system, the data processing module processes the uploaded information and the logging online state of the doctors and the patients, the data analysis module analyzes the processed information, one-to-one online matching of the departments to be consulted by the patients and the doctors online departments is completed, when the patients have various diseases, the system can correspondingly match the online departments to be consulted, wherein the information of the departments to which the online doctors belong and the each hospitalizing diagnosis result are transmitted to the data storage module to be stored, on one hand, the patient diagnosis information generated by the data processing module and the data analysis module is stored as a patient personal case file, and on the other hand, the patient diagnosis information is directly stored as a template case through the doctor online service module, so that the online inquiry and treatment of other patients are facilitated; meanwhile, the set retrieval module is only used for patients who use the cloud service platform for two times or more, the patients upload information of the patients through the retrieval module, the big data calling module is used for calling past personal case files, the called personal case files are sent to the retrieval information processing module through the information feedback module, the retrieval information processing module can compare and analyze the called personal case files with the uploaded information of the patients in the retrieval module to judge the state of the illness of the patients, the state of the illness of the patients is judged to be improved or deteriorated in advance, corresponding suggestions and treatment schemes are given, tracking treatment in the treatment time period of the patients can be achieved, and rehabilitation treatment of the patients is facilitated.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. The utility model provides a wisdom medical treatment cloud service platform which characterized in that: the system comprises a user registration login module, a patient information acquisition module, a doctor online service module, a data processing module, a data analysis module, a retrieval information processing module, an information feedback module, a big data calling module, a data storage module, a master control module, a data sorting module, a dump module and a cloud storage module;
the user registration login module is in communication connection with the patient information acquisition module and the doctor online service module, the patient information acquisition module and the doctor online service module are in communication connection with the data processing module, the data processing module is in communication connection with the data analysis module, the data analysis module is in communication connection with the data storage module, the doctor online service module is also in communication connection with the data storage module, the data storage module is in communication connection with the dump module, the dump module is in communication connection with the cloud storage module, the data storage module is in communication connection with the master control module, the master control module is in communication connection with the data sorting module, the cloud storage module is in communication connection with the big data retrieval module, the big data retrieval module is in communication connection with the information feedback module, and the information feedback module is in communication connection with the retrieval information processing module, the retrieval information processing module is in communication connection with the retrieval module, and the patient information acquisition module is also in communication connection with the retrieval module;
the user registration login module is used for user registration and login, and the user comprises: the system comprises a patient, a doctor and a platform manager, wherein the patient and the doctor upload personal basic information through a user registration login module when a user registers, and the personal basic information comprises a contact way and a payment account; the contact way comprises a mailbox and a mobile phone number, a payment account is used for paying and refunding a user, and a platform manager maintains and manages the whole cloud service platform;
the patient information acquisition module is used for acquiring the uploading information of the patient, and the uploading information of the patient comprises: the medical examination report information, the doctor diagnosis information and the patient self-reflection information, the doctor online service module is used for collecting the department information of the online doctor, and the department information comprises: internal medicine, surgery, pediatrics, gynecology, andrology, infectious disease, dermatology, oncology and orthopedics;
the data processing module is used for processing the received uploaded information of the patient and the information of departments to which the online doctors belong, processing the received uploaded information of the patient into internal diseases, surgical diseases, pediatric diseases, gynecological diseases, andropathy, infectious diseases, skin diseases, oncology diseases and orthopedic diseases, and processing the received information of departments to which the online doctors belong into online internal medicines, online surgeries, online pediatrics, online obstetrics and gynecology, online andrology, online infectious diseases, online dermatology, online oncology and online orthopedics;
the data analysis module is used for analyzing the information uploaded by the patient and the information of departments to which the online doctor belongs, wherein the information after processing is matched and paired in the analysis process, online one-to-one diagnosis and treatment are realized, the analyzed data information is sent to the data storage module, the personal case file of the patient is established, the data stored in the data storage module is transferred to the cloud storage module by the transfer module for backup storage, and the backup storage information comprises: uploading information, matching successfully department doctor information and online doctor diagnosis information to the patient so as to compare and inquire the state of illness again next time;
the data storage module is pre-stored with different department classification diagnosis keywords, the data storage module sends the analysis result of the data analysis module to the master control module, and the master control module is used for converting the analysis result into a control signal, transmitting the control signal to the user login interface and displaying the medical diagnosis result to a patient.
2. The intelligent medical cloud service platform of claim 1, wherein: the specific processing process of the patient uploading information is as follows:
the method comprises the following steps: extracting keywords in physical examination report information, doctor diagnosis information and patient self-reflection information uploaded by a patient, wherein the data storage module is prestored with different department classification diagnosis keywords, the prestored keywords are labeled as Kzi, i is 1 … … n, the internal medicine prestored keywords are labeled as Kz1, the surgical prestored keywords are labeled as Kz2, the pediatric prestored keywords are labeled as Kz3, the obstetrical prestored keywords are labeled as Kz4, the andrology prestored keywords are labeled as Kz5, the infectious disease prestored keywords are labeled as Kz6, the dermatologic prestored keywords are labeled as Kz7, the oncologic prestored keywords are labeled as Kz8 and the orthopedic prestored keywords are labeled as Kz 9;
step two: marking an upload information keyword as Czi, i is 1 … … n;
step three: comparing Czi with Kzi and matching;
step four: when any one of Czi and Kzi is matched, the data after the matching is passed is sent to the data processing module for processing, and the department to be inquired by the patient is compared, and when the matching result shows that a plurality of groups of Kzi and Czi keywords are similar, the corresponding departments are inquired by the patient.
3. The intelligent medical cloud service platform of claim 2, wherein: the specific processing procedure of matching and pairing in the data analysis module is as follows:
the method comprises the following steps: extracting department information of an online doctor, marking a department keyword of the online doctor as Dzi, i is 1 … … n, wherein the online medical keyword is marked as Dz1, the online surgical keyword is marked as Dz2, the online pediatric keyword is marked as Dz3, the online obstetrics and gynecology keyword is marked as Dz4, the online andrology keyword is marked as Dz5, the online infectious disease department keyword is marked as Dz6, the online dermatology keyword is marked as Dz7, the online oncology keyword is marked as Dz8 and the online orthopedics keyword is marked as Dz 9;
step two: comparing Czi with Dzi and matching;
step three: when any one of Czi and Dzi is matched, the data after the matching is passed is sent to the data processing module for processing, one-to-one pairing diagnosis of the patient and the online doctors is realized, and when the matching results show that a plurality of groups of Dzi and Czi keywords are similar, the patient needs to consult a plurality of corresponding department online doctors.
4. The intelligent medical cloud service platform of claim 1, wherein: the information of departments to which the online doctors belong and the medical diagnosis results of each time are transmitted to the data storage module for storage, on one hand, the patient diagnosis information generated by the data processing module and the data analysis module is stored as a patient personal case file, on the other hand, the patient diagnosis information is directly stored as a template case through the doctor online service module, and the online inquiry and the medical diagnosis of other patients are facilitated.
5. The intelligent medical cloud service platform of claim 1, wherein: the retrieval module is only used for patients who use the cloud service platform for two times or more, the patients upload information uploaded by the patients through the retrieval module, and the specific processing process of the retrieval information is as follows:
the method comprises the following steps: extracting the uploaded information, and marking the information uploaded by the patient in real time as A;
step two: marking the previous personal case archive information of the patient stored in the cloud storage module as B;
step three: when the uploaded information A is larger than the personal case file information B and is within a preset value range, inquiring the information content to be the improvement of the state of an illness, reminding the patient to perform regular physical examination, and paying attention to observing the physical condition;
step four: when the uploaded information A is larger than the personal case file information B and is not in the preset value range, inquiring the information content to improve the state of an illness, and reminding the patient to continue to cooperate with the doctor for treatment;
step five: when the uploaded information A < the personal case file information B, the information content is inquired to be the disease deterioration, and the patient is reminded to actively cooperate with the treatment in compliance with the medical advice.
6. The intelligent medical cloud service platform of claim 1, wherein: the retrieval module is only used for patients who use the cloud service platform for two or more times, the patients upload information of the patients through the retrieval module, the big data calling module is used for calling past personal case files and sending the called personal case files to the retrieval information processing module through the information feedback module, and the retrieval information processing module can compare and analyze the called personal case files and the uploaded information of the patients in the retrieval module to judge the state of illness of the patients, pre-judge whether the state of illness of the patients is improved or deteriorated, and give corresponding suggestions and treatment schemes.
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| CN202010881074.6A CN112102905A (en) | 2020-08-27 | 2020-08-27 | Intelligent medical cloud service platform |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112784166A (en) * | 2021-02-01 | 2021-05-11 | 深圳市贝斯曼精密仪器有限公司 | Service platform and method for personalized data analysis scheme |
| CN113496774A (en) * | 2021-07-22 | 2021-10-12 | 河北北方学院 | Digital medical information management method and related device |
| CN113868221A (en) * | 2021-08-24 | 2021-12-31 | 深圳市金活医药有限公司 | Mass big data storage, analysis and management system based on cloud computing |
| CN114093496A (en) * | 2021-11-23 | 2022-02-25 | 纳里健康科技有限公司 | Method and system for processing medical information of Internet hospital |
-
2020
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112784166A (en) * | 2021-02-01 | 2021-05-11 | 深圳市贝斯曼精密仪器有限公司 | Service platform and method for personalized data analysis scheme |
| CN113496774A (en) * | 2021-07-22 | 2021-10-12 | 河北北方学院 | Digital medical information management method and related device |
| CN113868221A (en) * | 2021-08-24 | 2021-12-31 | 深圳市金活医药有限公司 | Mass big data storage, analysis and management system based on cloud computing |
| CN114093496A (en) * | 2021-11-23 | 2022-02-25 | 纳里健康科技有限公司 | Method and system for processing medical information of Internet hospital |
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Application publication date: 20201218 |