CN111899824A - Self-service diagnosis and treatment system based on rule and big data analysis - Google Patents
Self-service diagnosis and treatment system based on rule and big data analysis Download PDFInfo
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- CN111899824A CN111899824A CN202010079428.5A CN202010079428A CN111899824A CN 111899824 A CN111899824 A CN 111899824A CN 202010079428 A CN202010079428 A CN 202010079428A CN 111899824 A CN111899824 A CN 111899824A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 48
- 238000007405 data analysis Methods 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 claims abstract description 30
- 239000008280 blood Substances 0.000 claims description 6
- 210000004369 blood Anatomy 0.000 claims description 6
- 230000036541 health Effects 0.000 claims description 6
- 230000036772 blood pressure Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 238000000926 separation method Methods 0.000 claims description 3
- 208000024891 symptom Diseases 0.000 claims description 3
- 210000001503 joint Anatomy 0.000 claims description 2
- 201000010099 disease Diseases 0.000 abstract description 8
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 8
- 238000000034 method Methods 0.000 abstract description 8
- 230000008569 process Effects 0.000 abstract description 8
- 238000013475 authorization Methods 0.000 abstract description 5
- 208000017667 Chronic Disease Diseases 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 229940079593 drug Drugs 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
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- 238000012986 modification Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001684 chronic effect Effects 0.000 description 1
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- 230000003111 delayed effect Effects 0.000 description 1
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- 230000005180 public health Effects 0.000 description 1
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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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
Abstract
The invention discloses a self-service diagnosis and treatment system based on rule and big data analysis, which comprises the following modules: a medical facility module comprising a detection module, a diagnostic module, and a structured electronic medical record module; and the server module comprises a database, and a classification module, a template module and an encryption storage/decoding calling module are arranged in the database. In the invention, the coding type structured electronic medical record is adopted, errors in description and selection of the patient's disease type in the registration process are reduced, information ambiguity and error rate are reduced, a hierarchical authorization display mode is adopted, the leakage of the patient's disease information is reduced, and the privacy of the patient is maintained.
Description
Technical Field
The invention belongs to the technical field of big data health management, and particularly relates to a self-service diagnosis and treatment system based on rules and big data analysis.
Background
The diagnosis and treatment system is generally applied to common diseases and chronic diseases, and is a structured electronic medical record, which is a description of a clinician on a computer for chief complaints and diagnosis of patients, the original paper is replaced by a computer along with the development of computer technology, and the diagnosis of the patients is permanently stored due to the generation of diagnosis and treatment, so that important basis data is brought to medical research and doctor interaction, and the historical medical history of the patients also brings important reference data to the accurate diagnosis, prescription making and the like of the doctor.
Existing diagnostic systems are widely used in modern medical systems. However, some defects below appear in the use process of the existing diagnosis and treatment system, firstly, a doctor usually needs a patient to make a certain subjective judgment to the state of an illness of the patient and then inputs the system in the registration and diagnosis and treatment processes, the system is slow and easy to make mistakes, a certain error is usually caused, and the treatment time is delayed, and secondly, the existing diagnosis and treatment system usually does not protect the privacy information of the patient in place, so that the personal information of the patient is leaked.
Disclosure of Invention
The invention aims to: in order to solve the technical problems in reality, a self-service diagnosis and treatment system based on rules and big data analysis is provided.
The technical scheme adopted by the invention is as follows:
self-service diagnosis and treatment system based on rule and big data analysis, it includes the following module:
a medical facility module comprising a detection module, a diagnostic module, and a structured electronic medical record module;
the server module comprises a database, wherein a classification module, a template module and an encryption storage/decoding calling module are arranged in the database;
the detection module is used for detecting various data of the body of the patient, and the detection module obtains a report form through the self-service physical examination detection equipment and the medical detection equipment and uploads the report form to the server module;
the classification module is used for classifying the report and selecting the template number;
the template module is used for storing and recording various structured electronic medical record templates, receiving the template numbers output by the classification module and calling the corresponding structured electronic medical record templates to encode and fill original data to form the structured electronic medical record;
the encryption storage/decoding calling module is used for encrypting and storing the template medical record, the encryption storage module encodes the structured electronic medical record to form an encrypted text and stores the encrypted text, the encrypted text is encoded according to the template number, and the decoding calling module decodes and outputs the encrypted text;
the diagnosis module is used for acquiring the structured electronic medical record in the encryption storage/decoding calling module so as to diagnose the original data, obtain diagnosis result data and input the diagnosis result data into the structured electronic medical record;
the structured electronic medical record module is used for acquiring the structured electronic medical record in the encryption storage/decoding calling module, reading and judging template codes in the structured electronic medical record for the first time, and outputting a corresponding diagnosis module; and judging the diagnosis result data for the second time, and outputting corresponding treatment hardware.
The detection module comprises self-service physical examination detection equipment and medical detection equipment, wherein the self-service physical examination detection equipment is highly integrated with detection of dozens of body health indexes such as height, weight, blood pressure, blood sugar, fat rate and blood fat, rapidly detects multiple vital sign parameters by self, provides standard software and hardware interfaces, and can be in butt joint with existing systems and equipment such as hospital LIS, HIS and EMR.
Wherein the database comprises computer services, server services, and communication protocols.
The diagnosis module has the right of revising the template codes of the structured electronic medical records, and the structured electronic medical records are returned to the structured electronic medical records to be output to the corresponding diagnosis module again.
The system comprises a server module, a decoding calling module, a structured electronic medical record editor, a server module and a structured electronic medical record module, wherein the decoding calling module provides the structured electronic medical record editor to input a structured electronic medical record template, and a patient self-selects own symptoms and medical history in the server module to decode and output to the structured electronic medical record module.
And the database is used for inputting the hardware state of each medical facility module, judging the diagnosis result data and outputting prompt information.
The encryption storage/decoding calling module carries out structured semantic separation on the structured electronic medical record according to the SNOMED standard.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. in the invention, the coded structured electronic medical record is adopted, and the template module is adopted to select the template of the structured electronic medical record, so that departments corresponding to the encrypted structured electronic medical record text have different numbers, thereby realizing that a patient directly reads the template number of the structured electronic medical record in the medical registration process, selecting the registration type, reducing the errors of the patient in description and selection of the disease type of the patient in the registration process, and reducing the registration time and the error rate.
2. The invention adopts a hierarchical authorization display mode, reduces the risk of personal information leakage of patients due to the adoption of an encryption storage/decoding calling module for the encryption storage of the structured electronic medical record, and also realizes that the patients can protect the independent privacy records, control the medical record records which can be searched by doctors, reduce the leakage of the illness state information of the patients and maintain the privacy of the patients due to the implementation of EMR hierarchical privacy management and the establishment of looking up, inputting, modifying and using EMR hierarchical authorization.
Drawings
FIG. 1 is a schematic diagram of the principal structure of the present invention;
FIG. 2 is a schematic diagram of the steps of the present invention;
FIG. 3 is a simplified schematic diagram of a structured electronic medical record classification in accordance with the present invention;
FIG. 4 is a diagram illustrating the content of the medical record portion of the structured electronic medical record of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but 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 construed as limiting the present invention; the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; furthermore, unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, as they may be fixedly connected, detachably connected, or integrally connected, for example; 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 in specific cases to those skilled in the art.
In a first embodiment, referring to fig. 1-4, a self-service diagnosis and treatment system based on rule and big data analysis comprises the following modules:
a medical facility module comprising a detection module, a diagnostic module, and a structured electronic medical record module;
the server module comprises a database, and a classification module, a template module and an encryption storage/decoding calling module are arranged in the database;
the detection module is used for detecting various data of the body of the patient, and the detection module obtains a report form through the self-service physical examination detection equipment and the medical detection equipment and uploads the report form to the server module;
the classification module is used for classifying the report and selecting the template number;
the template module is used for storing and recording various structured electronic medical record templates, receiving the template numbers output by the classification module and calling the corresponding structured electronic medical record templates to edit and fill the original data to form the structured electronic medical record;
the encryption storage/decoding calling module is used for encrypting and storing the template medical record, the encryption storage module encodes the structured electronic medical record to form an encrypted text and stores the encrypted text, the encrypted text is encoded according to the template number, and the decoding calling module decodes and outputs the encrypted text;
the diagnosis module is used for acquiring the structured electronic medical record in the encryption storage/decoding calling module so as to diagnose the original data, obtain diagnosis result data and input the diagnosis result data into the structured electronic medical record;
the structured electronic medical record module is used for acquiring the structured electronic medical record in the encryption storage/decoding calling module, reading and judging template codes in the structured electronic medical record for the first time, and outputting a corresponding diagnosis module; and judging the diagnosis result data for the second time, outputting corresponding treatment hardware, and enabling the patient to enter a mall recommended by the system to purchase medicines or make a appointment and pay for a corresponding treatment institution, so that the time of long-time queue waiting in the medical institution is reduced, wherein the template codes in the structured electronic medical record are rule bases established on the basis of a SNOMED code base, world medical documents and an authority knowledge base.
In the second embodiment, referring to fig. 1, the detection module comprises a self-service physical examination detection device and a medical detection device, the self-service physical examination detection device is highly integrated with detection of dozens of body health indexes such as height, weight, blood pressure, blood sugar, fat rate, blood fat and the like, rapidly detects multiple vital sign parameters in a self-service manner, provides a standard software and hardware interface, can be docked with existing systems and devices such as hospital LIS, HIS, EMR and the like, can effectively carry out work such as disease examination, chronic disease follow-up visit, health intervention, health education and the like, and meets basic public health service specifications and chronic disease management needs.
In the third embodiment, referring to fig. 2, the database includes computer service, server service and communication protocol, the diagnosis module has a right of revising template codes of the structured electronic medical record, and the structured electronic medical record is returned to the diagnosis module corresponding to the disease classification and treatment scheme in the structured electronic medical record module, the difference between the prescription item and the standard path is compared in the prescription diagnosed and entered by the doctor for the patient, the prescriptions of other historical doctors are compared, manual review is marked when the set reference value is exceeded, the standard path and bed path are automatically and systematically revised when the set absolute value is exceeded, mutual supervision between the system and the medical staff is increased, and the occurrence of errors between the two parties is reduced.
In the fourth embodiment, referring to fig. 4, the decoding and calling module provides a structured electronic medical record editor to enter a structured electronic medical record template, in the self-help diagnosis and treatment process, the system obtains a patient ID identifier by means of a face recognition device, automatically selects a proper structured electronic medical record template according to the previous course, the patient self-selects own symptoms and medical history in the server module to decode and output to the structured electronic medical record module, especially for common and chronic patients, the patient can conveniently call the medical record records to selectively provide data, the hardware state of each medical facility module is entered in the database, the diagnosis result data is judged to output prompt information, and interaction with the voice and video of the patient is supported, the encryption storage/decoding and calling module performs structured semantic separation on the structured electronic medical record according to SNOMED standard, the security and the use value of EMR can be ensured by carrying out EMR classified secrecy management, establishing reference, input, modification and use EMR classified authorization and the like, wherein the structured electronic medical record template library is provided with the checking result, the SNOMED coding library and the actual data of the EMR classified secrecy management so as to be convenient for calling data information for use when compiling the structured electronic medical record template, simplify the operation steps and time of doctors, and can carry out tracking query on the treatment scheme of the doctors so as to obtain whether the patients obtain corresponding treatment instruments and medicines according to the output treatment scheme so as to be convenient for the doctors to carry out targeted treatment on the actual condition of the chronic disease of the patients, the system provides data backup and recovery tools, each stage of workstation establishes data backup, can ensure that the data can be recovered to the maximum extent under the condition that the data are damaged, and the doctors can be authorized to refer to own EMR when the patients seek medical treatment, the medical staff is assisted to quickly, intuitively and accurately know the accurate data of the treatment and examination previously received by the patient, the error and omission of medical history description caused by unclear memory of the patient are avoided, the time for the doctor to confirm the diagnosis is shortened, and the precious time is won for rescuing the life.
The working principle is as follows: firstly, selecting a template of the structured electronic medical record through a template module, so that departments corresponding to encrypted structured electronic medical record texts have different numbers, and thus a patient can directly read the template number of the structured electronic medical record in the medical registration process and select registration categories, thereby reducing errors in description and selection of the patient's own disease condition types in the registration process, reducing registration time and error rate, reducing leakage of patient's disease condition information and maintaining the privacy of the patient; secondly, the risk of personal information leakage of a patient is reduced by carrying out encryption storage/decoding calling on the structured electronic medical record through an encryption storage/decoding calling module, and the patient can protect the private records irrelevant to the patient and control the medical record which can be checked by a doctor by carrying out EMR classified secrecy management and setting up consulting, inputting, modifying and using EMR classified authorization.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (7)
1. Self-service diagnosis and treatment system based on rule and big data analysis, its characterized in that, it includes following module:
a medical facility module comprising a detection module, a diagnostic module, and a structured electronic medical record module;
the server module comprises a database, wherein a classification module, a template module and an encryption storage/decoding calling module are arranged in the database;
the detection module is used for detecting various data of the body of the patient, and the detection module obtains a report form through the self-service physical examination detection equipment and the medical detection equipment and uploads the report form to the server module;
the classification module is used for classifying the report and selecting the template number;
the template module is used for storing and recording various structured electronic medical record templates, receiving the template numbers output by the classification module and calling the corresponding structured electronic medical record templates to encode and fill original data to form the structured electronic medical record;
the encryption storage/decoding calling module is used for encrypting and storing the template medical record, the encryption storage module encodes the structured electronic medical record to form an encrypted text and stores the encrypted text, the encrypted text is encoded according to the template number, and the decoding calling module decodes and outputs the encrypted text;
the diagnosis module is used for acquiring the structured electronic medical record in the encryption storage/decoding calling module so as to diagnose the original data, obtain diagnosis result data and input the diagnosis result data into the structured electronic medical record;
the structured electronic medical record module is used for acquiring the structured electronic medical record in the encryption storage/decoding calling module, reading and judging template codes in the structured electronic medical record for the first time, and outputting a corresponding diagnosis module; and judging the diagnosis result data for the second time, and outputting corresponding treatment hardware.
2. The self-service diagnosis and treatment system based on rule and big data analysis of claim 1, wherein: the detection module comprises self-service physical examination detection equipment and medical detection equipment, wherein the self-service physical examination detection equipment is highly integrated with dozens of body health indexes such as height, weight, blood pressure, blood sugar, fat rate and blood fat, rapidly detects multiple vital sign parameters by self, provides standard software and hardware interfaces, and can be in butt joint with existing systems and equipment such as hospital LIS, HIS and EMR.
3. The self-service diagnosis and treatment system based on rule and big data analysis of claim 1, wherein: the database includes computer services, server services, and communication protocols.
4. The self-service diagnosis and treatment system based on rule and big data analysis of claim 1, wherein: the diagnosis module has the right of revising the template codes of the structured electronic medical records, and the structured electronic medical records are returned to the structured electronic medical records to be output to the corresponding diagnosis module again.
5. The self-service diagnosis and treatment system based on rule and big data analysis of claim 1, wherein: the decoding calling module provides a structured electronic medical record editor to input a structured electronic medical record template, and the patient can self-select own symptoms and medical history in the server module to decode and output to the structured electronic medical record module.
6. The self-service diagnosis and treatment system based on rule and big data analysis of claim 1, wherein: and the database is used for inputting the hardware state of each medical facility module, judging the diagnosis result data and outputting prompt information.
7. The self-service diagnosis and treatment system based on rule and big data analysis of claim 1, wherein: and the encryption storage/decoding calling module carries out structured semantic separation on the structured electronic medical record according to the SNOMED standard. .
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