CN111489799A - Medical examination method based on big data - Google Patents
Medical examination method based on big data Download PDFInfo
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- CN111489799A CN111489799A CN202010274721.7A CN202010274721A CN111489799A CN 111489799 A CN111489799 A CN 111489799A CN 202010274721 A CN202010274721 A CN 202010274721A CN 111489799 A CN111489799 A CN 111489799A
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- G—PHYSICS
- 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
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- 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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- G—PHYSICS
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The invention discloses a medical examination method based on big data, which comprises a pre-examination platform; the pre-inspection platform comprises a personal center, a pathology guide, a reservation registration and a pathology supplementation; the personal center comprises data authentication, family information and registration card types; the pathology guide comprises a first-level pathology, image-text display and term display, wherein the first-level pathology is subjected to primary retrieval after being sorted, the retrieved pathology is sorted for secondary retrieval, and the department type and corresponding examination items are provided; the appointment register includes a diagnostic register and a check register. According to the invention, all examination items can be well examined before the doctor visits through pre-retrieval and screening, and then the doctor can be scheduled to visit, so that a report is given to the doctor on the same day, the body condition can be timely informed to the doctor, a large amount of time is greatly saved, and redundant waste is avoided.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a medical examination method based on big data.
Background
Big data, an IT industry term, refers to a data set that cannot be captured, managed, and processed with a conventional software tool within a certain time range, and is a massive, high-growth-rate, and diversified information asset that needs a new processing mode to have stronger decision-making power, insight discovery power, and process optimization capability.
At present, hospitals have a registered treatment, and the doctor calls you to make a relevant examination after the treatment, and the waiting result after the examination is afternoon, and then the doctor needs to register again, so that the time of several days is delayed in the middle, and even the treatment needs several weeks.
Disclosure of Invention
The invention aims to solve the following defects in the prior art, a hospital carries out a registration system to see a doctor, the doctor can see a doctor after registration, then the doctor calls the doctor to carry out related examination, the waiting result after the examination is afternoon, the doctor needs to register again at the moment, the time for several days is delayed in the middle, and even the time for several weeks is delayed in some cases, so that the medical examination method based on big data is provided.
In order to achieve the purpose, the invention adopts the following technical scheme:
a medical examination method based on big data comprises a pre-examination platform;
the pre-inspection platform comprises a personal center, a pathology guide, a reservation registration and a pathology supplementation;
the personal center comprises data authentication, family information and registration card types;
the pathology guide comprises a first-level pathology, image-text display and term display, wherein the first-level pathology is subjected to primary retrieval after being sorted, the retrieved pathology is sorted for secondary retrieval, and the department type and corresponding examination items are provided;
the appointment register includes a diagnostic register and a check register.
Preferably, in the data authentication of the personal center, the identity information of a relevant person needs to be input, after the identity information is filled, the system compares the information with a database in a cloud, after the information is correct, the system enters a family information interface, family members of the relevant person mainly comprise parents and grandparents milk, the family genetic disease history, the infectious disease history and the major disease history are completely filled, the system brings the family information into the database of the personal center, then the family information enters a registration card type interface, a hospital is selected by using correct information in the data authentication, then a doctor card of the hospital is registered, after the registration is completed, all information of the personal center is stored in the system of the hospital, and when a doctor visits, the information in the personal center and the family disease history can be known only by inputting the doctor card number.
Preferably, in the image-text display in the pathology guide, a human body construction drawing is arranged in the pathology guide, the human body construction drawing comprises a front side, a side and a back side, all organs are marked, and then the names of the organs are expressed by Chinese and English;
in the above term display, all the initial diagnosis results in clinical medicine are included, the possible symptoms included in all the initial diagnosis results are summarized into common words, and the words are established into a pathology database, so that the relevant person can find out proper words according to the own symptoms;
the words of the symptoms are input into a retrieval frame in primary pathology, the system compares the input key words with a pathology database, the system displays all initial diagnosis results containing the words and all clinical symptoms which can appear in the results on a screen one by one, then relevant persons supplement and input the results into a retrieval frame of secondary pathology according to the displayed clinical symptoms, secondary retrieval is carried out, the word pathology database of the secondary retrieval is compared again, the system displays the initial diagnosis results and all clinical symptoms which can appear in the results on the screen one by one, after the results of secondary screening, the accuracy is greatly improved, and after the initial diagnosis results of the secondary retrieval, the types of departments corresponding to the initial diagnosis results and necessary examination items made in advance can be displayed.
Preferably, the appointment registration comprises a diagnosis registration and a check registration, the diagnosis registration is selected according to a hospital registration, a department registration and a doctor registration in sequence, and the check registration is selected according to the hospital registration and the department registration in sequence.
Compared with the prior art, the invention has the beneficial effects that:
all examination items can be well examined before the doctor visits through pre-retrieval and screening, and then the doctor can be scheduled to visit, so that the doctor can be informed of the physical condition in time by sending a report to the doctor on the same day, a large amount of time is greatly saved, and redundant waste is avoided.
Drawings
Fig. 1 is a schematic structural diagram of a medical examination method based on big data 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.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be 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 medical examination method based on big data includes a pre-examination platform;
the pre-inspection platform comprises a personal center, a pathology guide, a reservation registration and a pathology supplementation;
the personal center comprises data authentication, family information and registration card types;
in the data authentication of the personal center, the identity information of a relevant person needs to be input, after the identity information is filled, the system compares the information with a database in the cloud, and after the information is correct, the registration of the account number is completed.
Then, the related person enters a family information interface, the family of the related person mainly comprises parents and grandparents milk, the family genetic disease history, the infectious disease history and the major disease history are completely filled, and the family information is brought into a database of a personal center by the system.
Then enter the interface of registration card, utilize the correct information in the data authentication to select the hospital, register the card of seeing a doctor of this hospital later, after finishing registering, all information of the personal center will be stored in the system of this hospital, when seeing a doctor, only need input the card number of seeing a doctor and can know information and family disease history in your personal center.
The pathology guide comprises a first-level pathology, image-text display and term display, wherein the first-level pathology is subjected to primary retrieval after being sorted, the retrieved pathology is sorted for secondary retrieval, and the department type and corresponding examination items are provided;
in the image-text display in the pathology guide diagnosis, a human body construction drawing is arranged in the pathology guide diagnosis, the human body construction drawing comprises a front side, a side surface and a back side, all organs are marked and then the names of the organs are expressed by Chinese and English;
in the above term display, all the initial diagnosis results in clinical medicine are included, the possible symptoms included in all the initial diagnosis results are summarized into common words, and the words are established into a pathology database and stored in the system.
The correlative persons can firstly enter the picture and text display, compare the human body construction diagram with the correlative persons, then know where the self causes the clinical medical symptoms, then select the words related to the self symptoms by referring to the words in the term display, then input the words related to the symptoms into the retrieval frame in the primary pathology, the system compares the input key words with the pathology database, after the comparison, the system displays all the initial diagnosis results containing the words and all the clinical symptoms which can appear in the results on the screen one by one, then the correlative persons secondarily select the words related to the symptoms to supplement and input into the retrieval frame of the secondary pathology according to the displayed clinical symptoms, carry out the secondary retrieval, compare the word pathology database of the secondary retrieval again, and the system displays the initial diagnosis results and all the clinical symptoms which can appear in the results on the screen one by one, meanwhile, the category of the registered department to which the symptom belongs is displayed behind each initial diagnosis result, necessary examination items need to be made in advance, the accuracy is greatly improved after the results of secondary screening, and the category of the department corresponding to the initial diagnosis result and the necessary examination items made in advance can be displayed behind the initial diagnosis results of secondary retrieval.
The appointment register comprises a diagnosis register and a check register;
the appointment register comprises a diagnosis register and a check register, the diagnosis register is selected according to a hospital register, a department register and a doctor register in sequence, the check register is selected according to the hospital register and the department register in sequence, when the appointment register is carried out, the system automatically positions the hospital according to a current registered visiting card, and directly calls an HIS system of the hospital to obtain the departments of the hospital and the doctors which can be ordered within one week of the departments of the hospital, and the doctors are supplied to relevant persons for selection;
when the examination items are reserved, the system automatically positions the hospital according to the current registered visit card, directly calls the HIS system of the hospital, acquires various information of the examination items of the hospital, and the notice items of each examination item before and after the examination can realize registration of the examination items after reading, and then stores the information in the database of the hospital.
Or directly entering a reservation registration interface through a secondary retrieval interface.
The pathological supplementation is that a doctor updates a pathological database regularly, when the symptom of a patient does not find a matched word in a term display, a correlative person puts the symptom of the patient into a sentence and inputs the sentence into the system, and the doctor puts the symptom of the patient into a correlative word and adds the correlative word into the pathological database of the system and adds the correlative word into a term display interface so as to improve the system.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (4)
1. A medical examination method based on big data is characterized by comprising a pre-examination platform;
the pre-inspection platform comprises a personal center, a pathology guide, a reservation registration and a pathology supplementation;
the personal center comprises data authentication, family information and registration card types;
the pathology guide comprises a first-level pathology, image-text display and term display, wherein the first-level pathology is subjected to primary retrieval after being sorted, the retrieved pathology is sorted for secondary retrieval, and the department type and corresponding examination items are provided;
the appointment register includes a diagnostic register and a check register.
2. The big data based medical examination method as claimed in claim 1, wherein the personal center requires to input the identity information of the relevant person in the document authentication, after the identity information is filled in, the system compares the information with a database in the cloud, and enters a family information interface after the information is correct, the family of the related person mainly comprises parents and grandparents milk, the family genetic disease history, the infectious disease history and the major disease history are completely filled in, the system brings the family information into the database of a personal center, then entering a registration card type interface, selecting a hospital by using correct information in the data authentication, then registering a visit card of the hospital, when the registration is completed, all information of the personal center will be stored in the hospital's system, and when at the visit, the information in your personal center and family disease history can be known only by inputting the number of the doctor card.
3. The medical examination method based on big data as claimed in claim 1, wherein the image-text display in the pathology guide is provided with a human body construction drawing, the human body construction drawing comprises a front side, a side and a back side, all organs are marked and then the names of the organs are expressed in Chinese and English;
in the above term display, all the initial diagnosis results in clinical medicine are included, the possible symptoms included in all the initial diagnosis results are summarized into common words, and the words are established into a pathology database, so that the relevant person can find out proper words according to the own symptoms;
the words of the symptoms are input into a retrieval frame in primary pathology, the system compares the input key words with a pathology database, the system displays all initial diagnosis results containing the words and all clinical symptoms which can appear in the results on a screen one by one, then relevant persons supplement and input the results into a retrieval frame of secondary pathology according to the displayed clinical symptoms, secondary retrieval is carried out, the word pathology database of the secondary retrieval is compared again, the system displays the initial diagnosis results and all clinical symptoms which can appear in the results on the screen one by one, after the results of secondary screening, the accuracy is greatly improved, and after the initial diagnosis results of the secondary retrieval, the types of departments corresponding to the initial diagnosis results and necessary examination items made in advance can be displayed.
4. The big-data-based medical examination method according to claim 1, wherein the appointment register comprises a diagnosis register and an examination register, the diagnosis register is selected according to a hospital register, a department register and a doctor register, and the examination register is selected according to a hospital register and a department register.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010274721.7A CN111489799A (en) | 2020-04-09 | 2020-04-09 | Medical examination method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010274721.7A CN111489799A (en) | 2020-04-09 | 2020-04-09 | Medical examination method based on big data |
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| Publication Number | Publication Date |
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| CN111489799A true CN111489799A (en) | 2020-08-04 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202010274721.7A Withdrawn CN111489799A (en) | 2020-04-09 | 2020-04-09 | Medical examination method based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115600011A (en) * | 2022-11-30 | 2023-01-13 | 大能手教育科技（北京）有限公司（Cn） | Educational resource pairing method, system and storage medium based on distribution algorithm |
| CN116756392A (en) * | 2023-08-17 | 2023-09-15 | 北京小懂科技有限公司 | Medical information tracing method, cloud platform and storage medium |
-
2020
- 2020-04-09 CN CN202010274721.7A patent/CN111489799A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115600011A (en) * | 2022-11-30 | 2023-01-13 | 大能手教育科技（北京）有限公司（Cn） | Educational resource pairing method, system and storage medium based on distribution algorithm |
| CN116756392A (en) * | 2023-08-17 | 2023-09-15 | 北京小懂科技有限公司 | Medical information tracing method, cloud platform and storage medium |
| CN116756392B (en) * | 2023-08-17 | 2023-10-13 | 北京小懂科技有限公司 | Medical information tracing method, cloud platform and storage medium |
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