CN112712894A - Food-borne disease information monitoring and early warning method and system - Google Patents
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Abstract
The application discloses food-borne disease information monitoring and early warning method and system, which are applied to a doctor client and comprise the following steps: acquiring patient diagnosis and treatment information input by a doctor; extracting symptom keywords in the diagnosis and treatment information based on a preset symptom keyword database; generating a food-borne disease report card based on the symptom keywords; carrying out integrity check and logic check on the food-borne disease report card; and uploading the verified food-borne disease report card to a public health auditing client in the hospital.
Description
Technical Field
The application relates to the technical field of disease information monitoring, in particular to a food-borne disease information monitoring and early warning method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
The existing food-borne disease event monitoring is passive, and a reporting program is started after a certain period of time of the food-borne disease, so that early identification cannot be realized; in the reporting process, the reported data is lack of supervision, and the reported data has an irregular problem; the early recognition, early warning, prevention and control of food-borne diseases cannot be realized by the disease control center.
Disclosure of Invention
In order to overcome the defects of the prior art, the application provides a food-borne disease information monitoring and early warning method and system;
in a first aspect, the application provides a food-borne disease information monitoring and early warning method;
a food-borne disease information monitoring and early warning method is applied to a doctor client and comprises the following steps:
acquiring patient diagnosis and treatment information input by a doctor;
extracting symptom keywords in the diagnosis and treatment information based on a preset symptom keyword database; generating a food-borne disease report card based on the symptom keywords;
carrying out integrity check and logic check on the food-borne disease report card; and uploading the verified food-borne disease report card to a public health auditing client in the hospital.
In a second aspect, the application provides a food-borne disease information monitoring and early warning system;
food-borne disease information monitoring and early warning system includes: a doctor client and a public health audit client in a hospital, wherein,
a doctor client acquires patient diagnosis and treatment information input by a doctor;
the doctor client extracts the symptom keywords in the diagnosis and treatment information based on a preset symptom keyword database; generating a food-borne disease report card based on the symptom keywords;
the doctor client carries out integrity check and logic check on the food-borne disease report card; and uploading the verified food-borne disease report card to a public health auditing client in the hospital.
Compared with the prior art, the beneficial effects of this application are:
by the method and the system, clues of food-borne disease aggregate cases and outbreak events can be found, and the early recognition, early warning, prevention and control capabilities of the food-borne disease outbreak events are improved.
Advantages of additional aspects of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application.
FIG. 1 is a flow chart of the method of the first embodiment.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Example one
The embodiment provides a food-borne disease information monitoring and early warning method;
as shown in fig. 1, the food-borne disease information monitoring and early warning method is applied to a doctor client, and comprises the following steps:
s101: acquiring patient diagnosis and treatment information input by a doctor;
s102: extracting symptom keywords in the diagnosis and treatment information based on a preset symptom keyword database; generating a food-borne disease report card based on the symptom keywords;
s103: carrying out integrity check and logic check on the food-borne disease report card; and uploading the verified food-borne disease report card to a public health auditing client in the hospital.
Further, the step S101: acquiring patient diagnosis and treatment information input by a doctor; wherein the patient diagnoses information, includes: the patient's age, sex, height, weight, allergic drugs, current body temperature, current symptoms, current test results, medication and diet status for the last three days, etc.
Further, in S102, extracting a symptom keyword from the diagnosis and treatment information based on a preset symptom keyword database; the method specifically comprises the following steps:
symptom keywords are stored in the symptom keyword database;
the symptom keywords, for example: fever, diarrhea, dizziness, headache, food poisoning, viral infection, etc.
As one or more embodiments, in S102, a food-borne disease report card is generated based on the symptom keyword; the method specifically comprises the following steps:
matching the symptom keywords based on a preset food-borne disease information database; if the matching result meets the set condition, calling all diagnosis and treatment data of the current patient from an HIS (medical imaging system), an electronic medical record system, an LIS (medical imaging system) and a PACS (picture archiving and communication system) according to the unique number of the patient, and storing all the called diagnosis and treatment data into a cache database; and correspondingly embedding the information in the cache database into the options of the food-borne disease report card to generate the food-borne disease report card.
Illustratively, the food-borne disease report card comprises: patient basic information, diagnosis and treatment information and examination information.
It should be understood that, in the preset food-borne disease information database, food-borne disease information is stored.
Illustratively, the food-borne disease information includes: bacterial food-borne diseases, food-borne viral infections, food-borne parasitic infections, food-borne chemical poisoning, food-borne mycotoxin poisoning, animal toxin poisoning, plant toxin poisoning, food-borne infections, food-borne poisoning, and the like.
Illustratively, the food-borne disease information further includes: fever, flushed complexion, pale complexion, cyanosis, dehydration, thirst, edema, weight loss, chills, weakness, anemia, swelling, insomnia, photophobia, burnt taste in mouth, metallic taste, soap taste, excessive saliva, pigmentation, nausea, vomiting, abdominal pain, diarrhea, chest distress, chest pain, palpitation, shortness of breath, and skin pruritus.
It should be understood that, the matching result satisfies the set condition, which means that the matching degree between the symptom keyword and the food-borne disease information exceeds the set threshold.
It should be understood that the HIS System refers to the Hospital Information System. The LIS System (Laboratory Information System), i.e., Laboratory (clinical Laboratory) Information System, is one of the important components of hospital Information management.
The PACS system is an abbreviation of Picture Archiving and Communication Systems, meaning image Archiving and Communication Systems. The system is applied to a hospital image department, and mainly aims to store various medical images (including images generated by equipment such as nuclear magnetism, CT, ultrasound, various X-ray machines, various infrared instruments, microscopes and the like) generated in daily life in a digital mode through various interfaces (analog, DICOM and network), can be quickly called back for use under certain authorization when needed, and is added with auxiliary diagnosis management functions. It has important roles in transmitting data and organizing and storing data among various image devices.
It should be understood that the information in the cache database is correspondingly embedded into the options of the food-borne disease report card to generate the food-borne disease report card, so that the precious diagnosis and treatment time of a doctor can be greatly saved, and the phenomenon of missing report of the food-borne disease caused by busy work of the doctor can be avoided.
As one or more embodiments, the integrity check and the logical check are performed on the food-borne disease report card in S103; the specific checking time is as follows:
receiving a modification instruction of a doctor on the food-borne disease report card, completing the modification of the food-borne disease report card, and performing integrity check and logic check on the modified report card after receiving a storage instruction of the doctor on the modified report card.
As one or more embodiments, the performing integrity check and logical check on the modified report card; the specific checking step comprises:
judging whether the information of each option in the report card is complete, if not, reminding a doctor to complete supplement and then storing; if the data is complete, performing logical verification;
judging whether the logicality of the content time of each option in the report card meets the requirement, wherein the logicality comprises the following steps: and filling in matching conditions between the ages and the display ages of the identity cards.
As one or more embodiments, the method further comprises:
s104: carrying out data accuracy verification on the contents of the food-borne disease report card by a public health audit client in a hospital; the public health audit client uploads a report card passing the data accuracy verification to the disease control center client through a network gate between a hospital internal network and a hospital external network; and the disease control center client classifies and stores the received data.
Further, the public health auditing client in the hospital carries out data accuracy verification on the content of the food-borne disease report card, and the accuracy verification specifically comprises the following steps:
whether the logical relation among the eating time, the morbidity time, the treatment time and the card reporting time sequence is correct or not;
whether the card reporting time is within 24 hours of the diagnosis time or not;
whether the food-borne disease is real or suspected is verified, and the suspected food-borne disease is screened manually for the second time, so that misinformation is avoided.
Further, the verification of whether the food-borne disease is real or suspected is carried out, and whether the food-borne disease is real is confirmed by judging whether the treatment time is within 24 hours, whether the repetition rate of the food-borne site exceeds a set threshold value and whether the number of people in the treatment exceeds the set threshold value.
Furthermore, the public health auditing client passes through the report card for data accuracy verification and the gateway between the hospital internal network and the hospital external network, and the gateway has the functions of safety isolation, kernel protection, protocol conversion, virus checking and killing, access control, safety audit and identity authentication, prevents unknown and known Trojan attacks, has anti-virus measures and uploads the anti-virus measures to the disease control center client.
Further, the classifying and storing of the received data by the disease control center client refers to:
and establishing a corresponding storage table and index classification storage according to the basic information, symptom information, food exposure information and sample information of the patient and each independent data information, and realizing quick query during retrieval and statistics.
The method monitors a case (including case monitoring, wherein the case monitoring can be carried out without sample monitoring or active monitoring, which means that common sample monitoring and special monitoring in the case monitoring refer to monitoring of specific samples) and outbreak monitoring by connecting HIS, electronic cases, LIS and PACS system integrated interfaces of doctors, a plurality of cases are attacked at the same time and the same place by a plurality of people, through a standard diagnosis library, a symptom library and a shielding diagnosis library, a diagnosis plan which does not need to be extracted is shielded in the standard extraction process, keywords of the symptom library and an algorithm of a key ICD (ICD determined through food-borne diseases and accurately defined from the range of ICD codes) are intelligently pushed to doctors and public health departments to carry out early warning on patients which accord with the food-borne diseases, and food-borne report cards with basic information, diagnosis and treatment information, inspection information and the like of the patients are popped up;
the integrity and the logicality of the newspaper card can be verified before the report by the doctor end, and the logicality and the accuracy can be verified again during the public health examination, so that the application requirements of the data in the hospital and the application requirements of the national collected data can be met;
during storage, classified storage is carried out according to basic information, symptom information, food exposure information, sample information and related files of patients, and quick query can be realized during retrieval and statistics;
after the data quality control, analysis according to epidemic situation reports, real-time missed data analysis, report card monthly analysis, graphical briefing, epidemic situation briefing analysis, non-standard diagnosis analysis, spot check record and personnel workload analysis are formed; through intelligent matching, analysis and storm event discovery, the security event is analyzed, source tracing investigation is carried out, and crisis decision is made.
The deployment mode is as follows: deploying corresponding WEB application servers and database servers on the in-hospital network, and connecting the in-hospital system when an access terminal requests; when data is reported to the outside, the data is interacted through an internal network and an external network to form encrypted format data security for one-key direct transmission, according to a data interface provided by a national information system, the uploaded information is converted into a specified data format packet, the data packet is called and uploaded through the interface, and the basic information case information, the food exposure information and the card reporting information of a patient need to be transmitted.
Monitoring an integrated interface: based on the internal system of the hospital, a basic data pool with uniform access is established, food-borne diseases are collected, stored and processed from mass data, and a big data and computing framework is adoptedOn the basis, a data model is established by standardized extraction, conversion and storage of various service data, and a food-borne disease service data warehouse is constructed; identifying monitoring symptoms, monitoring syndrome and food source reported diseases more accurately through distinguishing several types of information, establishing intelligent body enhanced deep monitoring of a time early warning model, realizing a food source disease monitoring and early warning system, applying big data, artificial intelligence and the like as monitoring analysis and disease tracing, and developing professional argument and detection results of patient specimens and disease prevalence rules by a scientific method，Etc. provide support.
Diagnosis and matching: the method comprises the steps of establishing management of a standard and irregular diagnosis word list, controlling accurate filtration of food-borne disease diagnosis through entry, automatic construction, expansion, maintenance and diagnosis of the diagnosis word list, mining the possible overlapped keywords and the accumulation of a plurality of keywords together, enabling a search engine to distinguish the main titles of the keywords, co-building and sharing within a certain constraint range, reducing the waste of repeated matching, and obtaining early warning data of the food-borne disease after deep matching calculation.
Smart card ejection: the method has the advantages that the standard diagnosis and the related index data of common symptoms are automatically extracted for intelligent analysis in the diagnosis and treatment process of doctors, food-borne diseases and specific symptom index standards are met, a confirmation window is automatically popped up to be used as a food source report card, the basic information, the diagnosis information, the inspection information and the card reporting information of a patient are automatically assigned to the report card, and the report card is normally supplemented by doctors and then stored and reported; the time is 30-50 seconds, and the work of doctors is not influenced.
And (4) multiple tests: when the doctor saves the card, the verification relations are automatically checked; for example, the self-checking of the ID card and the birth date, sex, age and age group is solved, and the necessary relationship between diarrhea, diarrhea times, fever and body temperature is solved;
carrying out secondary verification when the public health department carries out auditing, and verifying various relations; the logical relationship of the eating time, the disease attack time, the treatment time and the card reporting time sequence; meanwhile, self-learning matching of an address library and food source classification is established, the address library is to establish a 4-level address at present and indicates province, city, county and village towns, the self-learning indicates that the address library which has appeared is automatically matched next time, and if a certain village appeared in the past belongs to a province, city, county and village towns, the address library can be automatically matched when the certain village appeared next time, so that the operation time is reduced; the data logic required by the disease control center is further subjected to mandatory verification, which refers to a mandatory rule, when certain information is acquired, the information must be filled, and meanwhile, the storage of associated information, such as identification number verification, and the included multi-layer information, such as gender, age and age group, also exists.
And (4) intelligent storage: establishing classification indexes for the stored card information, classifying the information according to the attributes of the patient information, such as basic information, diagnostic information, food source exposure information, sample information, card reporter information and the like, and storing the information, namely storing the information and storing files; when the information is stored, the basic information and the diagnosis information are accessed according to indexes, and the exposure information and the sample information are respectively stored, so that the query speed is effectively improved.
And (3) data analysis: forming epidemic situation report analysis by the audited data, analyzing the real-time missed report data, screening the missed report information according to food source ICD code diagnosis and symptom rules for classified storage, timely changing the missed report state after identification and storage, reporting card monthly analysis, graphical briefing and epidemic situation briefing analysis, carrying out classified statistics on the data according to the categories of information storage, specifying monthly statistics quantity, disease types, report card department classification, patient area classification and the like, carrying out non-standard diagnosis analysis, extracting and analyzing the defined non-standard diagnosis from the categories, and carrying out spot check record and personnel workload analysis.
And setting data chart linkage by one key, analyzing longitudinally, transversely and 360 degrees according to data classification, and analyzing according to indexes. And (4) drilling a chart, changing the dimension level and transforming the analysis granularity. It is convenient to explore the value behind the data.
Security events: food safety problems can cause a plurality of diseases, and from the clinical classification perspective, food-borne diseases can be caused, such as infectious diarrhea and food poisoning; the disease is divided into acute, subacute, persistent and chronic according to the disease progress, and has potential reproducibility, the disease appears after a period of time, and serious teratogenicity, carcinogenesis and mutagenicity exist, and the serious teratogenicity, carcinogenesis and mutagenicity are caused by the unsafe condition of food. The information trends of the outbreak event and the information trends of food, manufacturers and the like are obtained through analysis, converted and synchronously classified in another way, and risk identification and analysis are carried out.
Tracing and investigating: a tracing system is initially built in a software system, and the reasons for generation are clearly investigated through big data analysis, so that the food safety problem is highly emphasized. Determining pathogens by sample and laboratory monitoring and typing; the trend of each pathogen was monitored over time and for a particular population, and the aggregative properties of the cases were found and outbreaks were found.
The method analyzes clinical characteristics and epidemiological characteristics of cases through a descriptive epidemiological method, and searches for causative foods, causative factors, pollution sources and pollution causes through food hygiene investigation and laboratory tests.
And (3) crisis decision making: in the face of complex and changeable diet environment, program decision is carried out through generalization and summarization of rules, health emergency command and scheduling information management is carried out, the fusion development of multidisciplinary is promoted, intelligent diagnosis and treatment service is developed, health science popularization education is developed, the decision capability of information intercommunication is promoted,
the food-borne disease prevention system based on the information technology utilizes the advanced information technology to construct a good food sanitation and safety system and establish a comprehensive and sustainable system, so that the food-borne disease can be actively, effectively and timely controlled, and the harm of the food-borne disease to the society is reduced. The food-borne disease early warning and control system mainly comprises an information collection system and an information processing decision system, and timely and effectively early warning and controlling food-borne diseases are realized through quick information transmission, data sharing and information related processing.
Finally, it should be noted that: through the construction of the platform, the final decision analysis is formed from early warning to analysis and tracing to the safety event.
Example two
The embodiment provides a food-borne disease information monitoring and early warning system;
food-borne disease information monitoring and early warning system includes: a doctor client and a public health audit client in a hospital, wherein,
a doctor client acquires patient diagnosis and treatment information input by a doctor;
the doctor client extracts the symptom keywords in the diagnosis and treatment information based on a preset symptom keyword database; generating a food-borne disease report card based on the symptom keywords;
the doctor client carries out integrity check and logic check on the food-borne disease report card; and uploading the verified food-borne disease report card to a public health auditing client in the hospital.
Details of each step in the second embodiment are the same as those in the first embodiment, and are not described herein again.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. The food-borne disease information monitoring and early warning method is characterized by being applied to a doctor client side and comprising the following steps:
acquiring patient diagnosis and treatment information input by a doctor;
extracting symptom keywords in the diagnosis and treatment information based on a preset symptom keyword database; generating a food-borne disease report card based on the symptom keywords;
carrying out integrity check and logic check on the food-borne disease report card; and uploading the verified food-borne disease report card to a public health auditing client in the hospital.
2. The food-borne disease information monitoring and early warning method as set forth in claim 1, wherein patient diagnosis and treatment information inputted by a doctor is acquired; wherein the patient diagnoses information, includes: the patient's age, sex, height, weight, allergic medication, current body temperature, current symptoms, current test results, nearly three days medication and diet.
3. The food-borne disease information monitoring and early warning method as set forth in claim 1, wherein a food-borne disease report card is generated based on the symptom keyword; the method specifically comprises the following steps:
matching the symptom keywords based on a preset food-borne disease information database; if the matching result meets the set condition, calling all diagnosis and treatment data of the current patient from an HIS (medical imaging system), an electronic medical record system, an LIS (medical imaging system) and a PACS (picture archiving and communication system) according to the unique number of the patient, and storing all the called diagnosis and treatment data into a cache database; and correspondingly embedding the information in the cache database into the options of the food-borne disease report card to generate the food-borne disease report card.
4. The food-borne disease information monitoring and early warning method as set forth in claim 1, wherein integrity check and logic check are performed on the food-borne disease report card; the specific checking time is as follows:
receiving a modification instruction of a doctor on the food-borne disease report card, completing the modification of the food-borne disease report card, and performing integrity check and logic check on the modified report card after receiving a storage instruction of the doctor on the modified report card.
5. The food-borne disease information monitoring and early warning method as claimed in claim 1 or 4, wherein the modified report card is subjected to integrity check and logic check; the specific checking step comprises:
judging whether the information of each option in the report card is complete, if not, reminding a doctor to complete supplement and then storing; if the data is complete, performing logical verification;
judging whether the logicality of the content time of each option in the report card meets the requirement, wherein the logicality comprises the following steps: and filling in matching conditions between the ages and the display ages of the identity cards.
6. The food-borne disease information monitoring and early warning method as set forth in claim 1, wherein the method further comprises:
carrying out data accuracy verification on the contents of the food-borne disease report card by a public health audit client in a hospital; the public health audit client uploads a report card passing the data accuracy verification to the disease control center client through a network gate between a hospital internal network and a hospital external network; and the disease control center client classifies and stores the received data.
7. The food-borne disease information monitoring and early warning method as claimed in claim 6, wherein the public health audit client in the hospital performs data accuracy check on the content of the food-borne disease report card, and the accuracy check specifically comprises:
whether the logical relation among the eating time, the morbidity time, the treatment time and the card reporting time sequence is correct or not;
whether the card reporting time is within 24 hours of the diagnosis time or not;
whether the food-borne disease is real or suspected is verified, and the suspected food-borne disease is screened manually for the second time, so that misinformation is avoided.
8. The food-borne disease information monitoring and early warning method as set forth in claim 7,
whether the real food-borne disease or the suspected food-borne disease is detected is determined by judging whether the treatment time is within 24 hours, whether the repetition rate of the food-borne place exceeds a set threshold value and whether the number of people in treatment exceeds the set threshold value.
9. The food-borne disease information monitoring and early warning method as set forth in claim 6, wherein the classification storage of the received data by the disease control center client is as follows:
and the basic information, the symptom information, the food exposure information and the sample information of the patient are stored in a classified manner, and the quick query can be realized during retrieval and statistics.
10. Food-borne disease information monitoring and early warning system includes: a doctor client and a public health audit client in a hospital, wherein,
a doctor client acquires patient diagnosis and treatment information input by a doctor;
the doctor client extracts the symptom keywords in the diagnosis and treatment information based on a preset symptom keyword database; generating a food-borne disease report card based on the symptom keywords;
the doctor client carries out integrity check and logic check on the food-borne disease report card; and uploading the verified food-borne disease report card to a public health auditing client in the hospital.
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