CN105825044A - Medical care large data analysis and treatment system and method based on web page browsing - Google Patents
Medical care large data analysis and treatment system and method based on web page browsing Download PDFInfo
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- CN105825044A CN105825044A CN201610136396.1A CN201610136396A CN105825044A CN 105825044 A CN105825044 A CN 105825044A CN 201610136396 A CN201610136396 A CN 201610136396A CN 105825044 A CN105825044 A CN 105825044A
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- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention provides a medical care large data analysis and treatment system and method based on web page browsing. The method comprises the following steps: searching out the contact information of a patient from the medical data of the patient; according to the contact information of the patient, acquiring medical care web pages browed by the patient from a telecommunication operator; performing analysis on the medical care web pages so as to obtain a second disease set that the patient pays close attention to when browsing the medical care web pages; according to the second disease set and a first disease set, acquiring a third disease set that the patient suffers from potential diseases; acquiring the contact information of a doctor relative to the third disease set from a hospital information system, and notifying the doctor to make a prevention scheme for preventing the corresponding diseases in the third disease set; sending the prevention scheme to a client held by the patient so as to remind the patient of paying close attention to prevention of potential diseases. When the medical care large data analysis and treatment system and method disclosed by the invention are implemented, the risk that the patient suffers from potential diseases can be known, the prevention scheme can be timely made, and the risk that the patient suffers from the potential diseases is reduced.
Description
Technical field
The present invention relates to the big data fields of medical treatment, particularly relate to a kind of big data analysis of medical treatment based on web page browsing and processing system and method.
Background technology
Recently as the Internet, the fast development of cloud computing and Internet of Things etc., immanent mobile device, RFID, wireless senser every point is per second is all producing data, the Internet service of hundreds of millions of users is at every moment producing the mutual of flood tide, data volume to be processed is huge, data the most all with annual 50% speed increment, and the real-time that data are processed by business demand and competitive pressure, effectiveness also been proposed requirements at the higher level, traditional routine techniques means are unable to cope with at all, therefore, big data technique (BigData) becomes a recent hot technology, cause and pay attention to widely.
The guess of medical science can be accelerated by big data technique, be found to the conversion of medical practice: by means of ever-increasing secret and open medical data, big data technique helps people store the management big data of good medical treatment and be worth from the big scale of construction, high complicated extracting data, relevant medical skill, product will continue to bring out, it would be possible to medical industry developing one new golden age.
But, the Analysis of Medical Treatment Data system of present stage is when being analyzed processing for the big data of medical treatment, do not consider factor when user browses webpage at ordinary times, yet will not be analyzed according to based on web page browsing data big to medical treatment and process, it is impossible to find that patient suffers from potential risk.
Summary of the invention
Present invention is primarily targeted at the offer big data analysis of a kind of medical treatment based on web page browsing and processing system and method, it is intended to solve existing data handling procedure big to medical treatment is not based on the technical problem that Webpage is analyzed and processes.
For achieving the above object, the invention provides a kind of big data analysis of medical treatment based on web page browsing and processing system, running on data center, described data center is connected with hospital information system, client and Telecom operators by network, and the big data analysis of described medical treatment and processing system include:
Acquisition module, for obtaining medical data from described hospital information system, described medical data includes the first disease set of patient；
Search module, for searching out the contact method of this patient from described medical data；
Described acquisition module, is additionally operable to the contact method according to this patient and obtains, from described telecom operators, the medical webpage that this patient browses；
Analyze module, for described medical treatment webpage is analyzed, it is thus achieved that the second disease set that this patient is paid close attention to when browsing medical treatment webpage；
Comparison module, for described second disease set being compared with described first disease set, obtains, according to comparative result, the 3rd disease set that this patient suffers from potential disease；
Described acquisition module, for when the number of visits of medical webpage corresponding to described 3rd disease set exceedes and browses preset value, obtain the contact method of the doctor relevant to described 3rd disease set from described hospital information system, and notify that described doctor formulates the prevention scheme of corresponding disease in prevention the 3rd disease set according to the contact method of described doctor；And
Sending module, for described prevention scheme is sent to the client that this patient is held, prevents potential disease to remind this patient to note.
Preferably, described medical data also includes patient's name, patient age, sick time, ill reason, medical diagnosis on disease information, nomenclature of drug, Quantity of drugs, physician names, medical section office and expense.
Preferably, described acquisition module specifically for:
Contact method according to this patient obtains from described telecom operators and accesses data, and described access data include accessing network address and address name；
Judge whether the address name of described access data exists patient's name；
If there is patient's name in the address name of described access data, it is judged that whether described access network address comprises the field of default medical network address；
If described access network address comprises the field of default medical network address, the webpage that the most described access network address is linked is medical treatment webpage；And
Described medical treatment webpage is obtained according to described access network address.
Preferably, described analysis module specifically for:
Described medical treatment webpage is converted to document format；
In the medical webpage of described document format, the medical keyword by presetting is retrieved；And
If described medical treatment webpage comprises default medical keyword, then described in be included in medical treatment webpage the medical keyword preset belong to the second disease set that this patient pays close attention to.
Preferably, during described 3rd disease set refers to the second disease set that described patient pays close attention to remove overlapping with the first disease set in described medical data remained by second disease subsets conjunction.
On the other hand, the present invention also provides for a kind of big data analysis of medical treatment based on web page browsing and processing method, is applied to data center, and described data center is connected with hospital information system, client and Telecom operators by network, and the method includes:
Obtaining medical data from described hospital information system, described medical data includes the first disease set of patient；
The contact method of this patient is searched out from described medical data；
Contact method according to this patient obtains, from telecom operators, the medical webpage that this patient browses；
Described medical treatment webpage is analyzed, it is thus achieved that the second disease set that this patient is paid close attention to when browsing medical treatment webpage；
Described second disease set is compared with described first disease set, obtains, according to comparative result, the 3rd disease set that this patient suffers from potential disease；
When the number of visits of medical webpage corresponding to described 3rd disease set exceedes and browses preset value, obtain the contact method of the doctor relevant to described 3rd disease set from described hospital information system, and notify that described doctor formulates the prevention scheme of corresponding disease in prevention the 3rd disease set according to the contact method of described doctor；And
Described prevention scheme is sent to the client that this patient is held, prevents potential disease to remind this patient to note.
Preferably, described medical data also includes patient's name, patient age, sick time, ill reason, medical diagnosis on disease information, nomenclature of drug, Quantity of drugs, physician names, medical section office and expense.
Preferably, the described step obtaining, from telecom operators, the medical webpage that patient browses according to the contact method of this patient comprises the steps:
Contact method according to this patient obtains from described telecom operators and accesses data, and described access data include accessing network address and address name；
Judge whether the address name of described access data exists patient's name；
If there is patient's name in the address name of described access data, it is judged that whether described access network address comprises the field of default medical network address；
If described access network address comprises the field of default medical network address, the webpage that the most described access network address is linked is medical treatment webpage；And
Described medical treatment webpage is obtained according to described access network address.
Preferably, the step of the second disease set that this patient of described acquisition is paid close attention to when browsing medical treatment webpage comprises the steps:
Described medical treatment webpage is converted to document format；
In the medical webpage of described document format, the medical keyword by presetting is retrieved；And
If in described medical treatment webpage when comprising default medical keyword, then described in be included in medical treatment webpage the medical keyword preset belong to the second disease set that this patient pays close attention to.
Preferably, during described 3rd disease set refers to the second disease set that described patient pays close attention to remove overlapping with the first disease set in described medical data remained by second disease subsets conjunction.
The present invention uses technique scheme, the technique effect brought is: the big data analysis of medical treatment based on web page browsing of the present invention and processing system and method, the Webpage browsed at ordinary times in conjunction with patient, behavior to patient carries out big data analysis, it will be seen that the risk that patient suffers from potential disease, and formulate prevention scheme in time, reduce the risk that patient suffers from potential disease, indirectly improve the health of patient.
Accompanying drawing explanation
Fig. 1 is the present invention big data analysis of medical treatment based on web page browsing and the applied environment schematic diagram of processing system；
Fig. 2 is the high-level schematic functional block diagram of the preferred embodiment of the present invention big data analysis of medical treatment based on web page browsing and processing system；
Fig. 3 is the flow chart of the preferred embodiment of the present invention big data analysis of medical treatment based on web page browsing and processing method.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further referring to the drawings.
Detailed description of the invention
By further illustrating the technological means and effect that the present invention taked by reaching predetermined goal of the invention, below in conjunction with accompanying drawing and preferred embodiment, detailed description of the invention, structure, feature and the effect thereof to the present invention, describe in detail as follows.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
With reference to shown in Fig. 1, Fig. 1 is the present invention big data analysis of medical treatment based on web page browsing and the applied environment schematic diagram of processing system.The big data analysis of medical treatment based on web page browsing and processing system 20 in the present invention run on data center 2.Described data center 2 is communicated to connect with one or more hospital information systems 1 (illustrating as a example by three in Fig. 1) by network 3, to obtain many medical datas from described hospital information system 1.Described medical data includes, but it is not limited to, the information such as the contact method (such as, E-mail address, phone number and instant messaging account etc.) of patient's name, patient age, sick time, the first disease set (i.e. patient has suffered from the set of disease name), ill reason, medical diagnosis on disease information, nomenclature of drug, Quantity of drugs, physician names, medical section office, expense and patient.
Described network 3 can be wire communication network or wireless communication networks.Described network 3 is preferably wireless communication networks, includes but not limited to, the wireless-transmission network such as GSM network, GPRS network, cdma network, TD-SCDMA network, WiMAX network, TD-LTE network, FDD-LTE network.
Described data center 2 is communicated to connect with one or more clients 4 (illustrating as a example by three in Fig. 1) by described network 3, and described medical data corresponding for patient is sent to patient.In other embodiments, described medical data can also be analyzed processing by described data center 2, and the medical data after analyzing and processing (such as, with the medical data after the patient's medical Webpage correlation after medical treatment website browsing) is sent to client corresponding to patient 4 by network 3.It should be noted that described client 4 is held by patient, patient can obtain described medical data by described client 4.
Described data center 2 is communicated to connect with Telecom operators 5 by described network 3, for obtaining, from described Telecom operators 5, the medical webpage that patient browses.Specifically, described Telecom operators 5 is for providing the communication service of landline telephone, mobile phone and linking Internet, when patient uses the communication service of the linking Internet that telecom operators provide, described Telecom operators 5 can know access data when patient accesses the Internet, and described access data include the access time, access the data such as network address, address name.Described Telecom operators 5 provides api interface, and the equipment or the system that access this api interface can obtain patient from described Telecom operators 5 and access the access data of the Internet.Described data center 2 (i.e. authorizes and accesses the api interface that described Telecom operators 5 provides) on the basis of described Telecom operators 5 authorizes and obtains described access data, and resolves described access data, to obtain the medical webpage that patient browses.
It should be noted that, described data center 2 is a certain station server of cloud platform or data center, by cloud platform or the data transmission capabilities of data center and data storage capacities, can preferably manage and/or assist the client 4 being connected with this data center 2, beneficially patient understands the medical data of self.
Described client 4 may be, but not limited to, the portable electric appts of other any appropriate such as smart mobile phone, panel computer, personal digital assistant (PersonalDigitalAssistant, PDA), PC, electronic board.
With reference to shown in Fig. 2, it it is the high-level schematic functional block diagram of the preferred embodiment of the present invention big data analysis of medical treatment based on web page browsing and processing system.Shown in Fig. 1, in the present embodiment, the described big data analysis of medical treatment based on web page browsing and processing system 20 are applied to data center 2.This data center 2 include but not limited to, the big data analysis of medical treatment based on web page browsing and processing system 20, memory element 22, processing unit 24 and communication unit 26.
Described memory element 22 can be a kind of read-only memory unit ROM, electrically-erasable memory element EEPROM, flash memory cell FLASH or solid hard disk etc..
Described processing unit 24 can be a kind of central processing unit (CentralProcessingUnit, CPU), microcontroller (MCU), data processing chip or the information process unit with data processing function.
Described communication unit 26 is a kind of wireless communication interface with long-distance radio communication function, such as, supports the communication interface of the mechanicss of communication such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE.
The described big data analysis of medical treatment based on web page browsing and processing system 20 include, but it is not limited to, acquisition module 200, search module 210, analysis module 220, comparison module 230, judge module 240, generation module 240 and sending module 250, module alleged by the present invention refers to a kind of series of computation machine programmed instruction section that can be performed and can complete fixing function by the processing unit 24 of described data center 2, and it is stored in the memory element 22 of described data center 2.
Described acquisition module 200 is for obtaining medical data from hospital information system 1, and described medical data includes the first disease set of patient.
Specifically, described hospital information system 1 provide data introducting interface (such as, application programming interfaces, ApplicationProgramInterface, API), the equipment or the system that access this data introducting interface can obtain medical data from described hospital information system 1.Described acquisition module 200 calls the api interface of described hospital information system 1 offer to obtain medical data.
It should be noted that, owing to described medical data belongs to privacy information, in order to ensure information security, when described medical data is sent to data center 2, can by enciphering and deciphering algorithm (such as, MD5 enciphering and deciphering algorithm, RSA enciphering and deciphering algorithm, DES enciphering and deciphering algorithm, DSA enciphering and deciphering algorithm, AES enciphering and deciphering algorithm etc.) first medical data is encrypted, it is transferred to described data center 2 afterwards.
Described search module 210 is for searching out the contact method of this patient from described medical data.Specifically, described search module 210 searches for the contact method of this patient in medical data by the way of key search.Such as, using " phone " or " mailbox " or " instant messaging " as keyword, the contact method of this patient in medical data is retrieved.
Described acquisition module 200 is for obtaining, from telecom operators 5, the medical webpage that this patient browses according to the contact method of this patient.
The described step obtaining, from telecom operators 5, the medical webpage that this patient browses according to the contact method of this patient comprises the steps:
(1) obtaining described access data according to the contact method of patient from described telecom operators 5, described access data include the access time, access network address, address name, the number of visits etc. of access network address；Specifically, the access data preserved in described telecom operators 5 associate with contact method, such as, user A passes through surfing Internet with cell phone, the contact method of the Internet access service that described telecom operators 5 are provided and user A (as, phone number) association, by the phone number of user A, the access data of user A just can be inquired in described telecom operators 5.
(2) judge whether the address name of described access data exists patient's name；
(3) if the address name of described access data exists patient's name, it is thus achieved that access the access network address in data；
(4) judge whether described access network address comprises the field of default medical network address, such as, if field 39.net of the medical network address preset, certain accesses network address is http://jbk.39.net/xc/yfhl/, and the most described access network address comprises the field of default medical network address；
(5) if described access network address comprises the field of default medical network address, the webpage that the most described access network address is linked is medical treatment webpage；And
(6) described medical treatment webpage is obtained according to described access network address.
Described analysis module 220 is for being analyzed described medical treatment webpage, it is thus achieved that the second disease set (set of the disease name that patient pays close attention to from medical treatment webpage) that this patient is paid close attention to when browsing medical treatment webpage.
The step of the second disease set that this patient of described acquisition is paid close attention to when browsing medical treatment webpage comprises the steps:
(1) described medical treatment webpage is converted to document format, such as, is converted into XML document form；
(2) retrieved by default medical keyword in the medical webpage of described document format；And
(3) if described medical treatment web page contents comprises default medical keyword (disease name i.e. preset), then described in be included in medical treatment webpage the medical keyword preset belong to the second disease set that this patient pays close attention to.
Described comparison module 230 is additionally operable to compare described second disease set with the first disease set in medical data, obtains, according to comparative result, the 3rd disease set that this patient suffers from potential disease.Described 3rd disease set refer in the second disease set that described patient pays close attention to remove overlapping with the first disease set in described medical data remained by second disease subsets conjunction.
Whether described judge module 240 exceedes for the number of visits judging medical webpage corresponding to described 3rd disease set browses preset value (browsing preset value described in such as, is five times).
Described acquisition module 200 is for when the number of visits of medical webpage corresponding to described 3rd disease set exceedes and browses preset value, obtain the contact method of the doctor relevant to described 3rd disease set from hospital information system 1, and notify that described doctor formulates the prevention scheme of corresponding disease in the described 3rd disease set of prevention according to the contact method of described doctor.Described prevention scheme can by word, voice and/or audio-visual in the way of be sent to client 4.For example, in the present embodiment, described prevention scheme is following word: " distinguished M; the medical webpage browsed for nearest a week according to you; you retrieved the relevant medical webpage of asthma 30 times, we push the prevention scheme about asthma according to your Analysis of Medical Treatment Data to you, please know; be the prevention scheme of asthma below, refer to: (1) avoids crowd massing；(2), when going out, N95 model mask please be carry；(3) noting warming, specifically ensuring that head, thoracic dorsal and foot are warming in order to avoid catching a cold；(4) symptom of asthma is checked emphatically during health check-up；(5) asthma is divided multiple: following symptom is if any meeting, such as, symptom one: XXX, symptom two: YYY, symptom three: ZZZ, also would you please to hospital do detailed inspection, it is also possible to directly contacting with Zhang doctor, contact method is 0755-xxxxxxxx.Finally, wish that you are healthy！.”
Described sending module 250, for described prevention scheme is sent to the client 4 that this patient is held, prevents potential disease to remind this patient to note.
With reference to shown in Fig. 3, it it is the flow chart of the preferred embodiment of the present invention big data analysis of medical treatment based on web page browsing and processing method.In the present embodiment, the described big data analysis of medical treatment based on web page browsing and processing method are applied to data center 2, and the method comprises the following steps:
Step S10: described acquisition module 200 obtains medical data from hospital information system 1, described medical data includes the first disease set of patient.
Specifically, described hospital information system 1 provide data introducting interface (such as, application programming interfaces, ApplicationProgramInterface, API), the equipment or the system that access this data introducting interface can obtain medical data from described hospital information system 1.Described acquisition module 200 calls the api interface of described hospital information system 1 offer to obtain medical data.
It should be noted that, owing to described medical data belongs to privacy information, in order to ensure information security, when described medical data is sent to data center 2, can by enciphering and deciphering algorithm (such as, MD5 enciphering and deciphering algorithm, RSA enciphering and deciphering algorithm, DES enciphering and deciphering algorithm, DSA enciphering and deciphering algorithm, AES enciphering and deciphering algorithm etc.) first medical data is encrypted, it is transferred to described data center 2 afterwards.
Step S11: described search module 210 searches out the contact method of this patient from medical data.Specifically, described search module 210 searches for the contact method of this patient in medical data by the way of key search.Such as, using " phone " or " mailbox " or " instant messaging " as keyword, the contact method of this patient in medical data is retrieved.
Step S12: described acquisition module 200 obtains, from telecom operators 5, the medical webpage that this patient browses according to the contact method of this patient.
Described obtain, from telecom operators 5, the medical webpage that this patient browses according to the contact method of this patient mode be:
(1) obtaining described access data according to the contact method of patient from described telecom operators 5, described access data include the access time, access network address, address name, the number of visits etc. of access network address；Specifically, the access data preserved in described telecom operators 5 associate with contact method, such as, user A passes through surfing Internet with cell phone, the contact method of the Internet access service that described telecom operators 5 are provided and user A (as, phone number) association, by the phone number of user A, the access data of user A just can be inquired in described telecom operators 5.
(2) judge whether the address name of described access data exists patient's name；
(3) if the address name of described access data exists patient's name, it is thus achieved that access the access network address in data；
(4) judge whether described access network address comprises the field of default medical network address, such as, if field 39.net of the medical network address preset, certain accesses network address is http://jbk.39.net/xc/yfhl/, and the most described access network address comprises the field of default medical network address；
(5) if described access network address comprises the field of default medical network address, the webpage that the most described access network address is linked is medical treatment webpage；And
(6) described medical treatment webpage is obtained according to described access network address.
Step S13: described medical treatment webpage is analyzed by described analysis module 220, it is thus achieved that the second disease set that this patient is paid close attention to when browsing medical treatment webpage.
The mode of the second disease set that this patient of described acquisition is paid close attention to when browsing medical treatment webpage is as follows:
(1) described medical treatment webpage is converted to document format, such as, is converted into XML document form；
(2) retrieved by default medical keyword (disease name i.e. preset) in the medical webpage of described document format；And
(3) if in described medical treatment web page contents when comprising default medical keyword, then described in be included in medical treatment webpage the medical keyword preset belong to the second disease set that this patient pays close attention to.
Step S14: the second disease set that described patient is paid close attention to by described comparison module 230 compares with the first disease set in medical data, to obtain the 3rd disease set that patient suffers from potential disease.Described 3rd disease set refer in the second disease set that described patient pays close attention to remove overlapping with the first disease set in described medical data remained by second disease subsets conjunction.
Step S15: described judge module 240 judges whether the number of visits of medical webpage corresponding to described 3rd disease set exceedes and browses preset value (browsing preset value described in such as, is five times).Specifically, when the number of visits of medical webpage corresponding to described 3rd disease set exceedes and browses preset value, flow process enters step S16.Otherwise, when the number of visits of medical webpage corresponding to described 3rd disease set is not above browsing preset value, step S12 is returned.
Step S16: when the number of visits of medical webpage corresponding to described 3rd disease set exceedes and browses preset value, described acquisition module 200 obtains the contact method of the doctor relevant to described 3rd disease set from hospital information system 1, and notifies that described doctor formulates the prevention scheme of corresponding disease in described 3rd disease set according to the contact method of described doctor.Described prevention scheme can by word, voice and/or audio-visual in the way of be sent to client 4.For example, in the present embodiment, described prevention scheme is following word: " distinguished M; the medical webpage browsed for nearest a week according to you; you retrieved the relevant medical webpage of asthma 30 times, we push the prevention scheme about asthma according to your Analysis of Medical Treatment Data to you, please know; be the prevention scheme of asthma below, refer to: (1) avoids crowd massing；(2), when going out, N95 model mask please be carry；(3) noting warming, specifically ensuring that head, thoracic dorsal and foot are warming in order to avoid catching a cold；(4) symptom of asthma is checked emphatically during health check-up；(5) asthma is divided multiple: following symptom is if any meeting, such as, symptom one: XXX, symptom two: YYY, symptom three: ZZZ, also would you please to hospital do detailed inspection, it is also possible to directly contacting with Zhang doctor, contact method is 0755-xxxxxxxx.Finally, wish that you are healthy！.”
Step S17: described prevention scheme is sent to the client 4 that this patient is held by described sending module 250, prevents potential disease to remind this patient to note.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every equivalent structure utilizing description of the invention and accompanying drawing content to be made or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical fields, the most in like manner it is included in the scope of patent protection of the present invention.
Claims (10)
1. the big data analysis of medical treatment based on web page browsing and processing system, run on data center, it is characterized in that, described data center is connected with hospital information system, client and Telecom operators by network, and the big data analysis of described medical treatment and processing system include:
Acquisition module, for obtaining medical data from described hospital information system, described medical data includes the first disease set of patient；
Search module, for searching out the contact method of this patient from described medical data；
Described acquisition module, is additionally operable to the contact method according to this patient and obtains, from described telecom operators, the medical webpage that this patient browses；
Analyze module, for described medical treatment webpage is analyzed, it is thus achieved that the second disease set that this patient is paid close attention to when browsing medical treatment webpage；
Comparison module, for described second disease set being compared with described first disease set, obtains, according to comparative result, the 3rd disease set that this patient suffers from potential disease；
Described acquisition module, for when the number of visits of medical webpage corresponding to described 3rd disease set exceedes and browses preset value, obtain the contact method of the doctor relevant to described 3rd disease set from described hospital information system, and notify that described doctor formulates the prevention scheme of corresponding disease in prevention the 3rd disease set according to the contact method of described doctor；And
Sending module, for described prevention scheme is sent to the client that this patient is held, prevents potential disease to remind this patient to note.
2. the big data analysis of medical treatment based on web page browsing and processing system, it is characterized in that, described medical data also includes patient's name, patient age, sick time, ill reason, medical diagnosis on disease information, nomenclature of drug, Quantity of drugs, physician names, medical section office and expense.
3. the as claimed in claim 2 big data analysis of medical treatment based on web page browsing and processing system, it is characterised in that described acquisition module specifically for:
Contact method according to this patient obtains from described telecom operators and accesses data, and described access data include accessing network address and address name；
Judge whether the address name of described access data exists patient's name；
If there is patient's name in the address name of described access data, it is judged that whether described access network address comprises the field of default medical network address；
If described access network address comprises the field of default medical network address, the webpage that the most described access network address is linked is medical treatment webpage；And
Described medical treatment webpage is obtained according to described access network address.
4. the as claimed in claim 3 big data analysis of medical treatment based on web page browsing and processing system, it is characterised in that described analysis module specifically for:
Described medical treatment webpage is converted to document format；
In the medical webpage of described document format, the medical keyword by presetting is retrieved；And
If described medical treatment webpage comprises default medical keyword, then described in be included in medical treatment webpage the medical keyword preset belong to the second disease set that this patient pays close attention to.
5. the big data analysis of medical treatment based on web page browsing and processing system, it is characterized in that, described 3rd disease set refer in the second disease set that described patient pays close attention to remove overlapping with the first disease set in described medical data remained by second disease subsets conjunction.
6. the big data analysis of medical treatment based on web page browsing and a processing method, is applied to data center, it is characterised in that described data center is connected with hospital information system, client and Telecom operators by network, and the method includes:
Obtaining medical data from described hospital information system, described medical data includes the first disease set of patient；
The contact method of this patient is searched out from described medical data；
Contact method according to this patient obtains, from telecom operators, the medical webpage that this patient browses；
Described medical treatment webpage is analyzed, it is thus achieved that the second disease set that this patient is paid close attention to when browsing medical treatment webpage；
Described second disease set is compared with described first disease set, obtains, according to comparative result, the 3rd disease set that this patient suffers from potential disease；
When the number of visits of medical webpage corresponding to described 3rd disease set exceedes and browses preset value, obtain the contact method of the doctor relevant to described 3rd disease set from described hospital information system, and notify that described doctor formulates the prevention scheme of corresponding disease in prevention the 3rd disease set according to the contact method of described doctor；And
Described prevention scheme is sent to the client that this patient is held, prevents potential disease to remind this patient to note.
7. the big data analysis of medical treatment based on web page browsing and processing method, it is characterized in that, described medical data also includes patient's name, patient age, sick time, ill reason, medical diagnosis on disease information, nomenclature of drug, Quantity of drugs, physician names, medical section office and expense.
8. the big data analysis of medical treatment based on web page browsing and processing method, it is characterised in that the described step obtaining, from telecom operators, the medical webpage that patient browses according to the contact method of this patient comprises the steps:
Contact method according to this patient obtains from described telecom operators and accesses data, and described access data include accessing network address and address name；
Judge whether the address name of described access data exists patient's name；
If there is patient's name in the address name of described access data, it is judged that whether described access network address comprises the field of default medical network address；
If described access network address comprises the field of default medical network address, the webpage that the most described access network address is linked is medical treatment webpage；And
Described medical treatment webpage is obtained according to described access network address.
9. the big data analysis of medical treatment based on web page browsing and processing method, it is characterised in that the step of the second disease set that this patient of described acquisition is paid close attention to when browsing medical treatment webpage comprises the steps:
Described medical treatment webpage is converted to document format；
In the medical webpage of described document format, the medical keyword by presetting is retrieved；And
If in described medical treatment webpage when comprising default medical keyword, then described in be included in medical treatment webpage the medical keyword preset belong to the second disease set that this patient pays close attention to.
10. the big data analysis of medical treatment based on web page browsing and processing method, it is characterized in that, described 3rd disease set refer in the second disease set that described patient pays close attention to remove overlapping with the first disease set in described medical data remained by second disease subsets conjunction.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610136396.1A CN105825044A (en) | 2016-03-10 | 2016-03-10 | Medical care large data analysis and treatment system and method based on web page browsing |
| PCT/CN2016/104131 WO2017152638A1 (en) | 2016-03-10 | 2016-10-31 | System and method for medical big data analysis and processing based on webpage browsing |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610136396.1A CN105825044A (en) | 2016-03-10 | 2016-03-10 | Medical care large data analysis and treatment system and method based on web page browsing |
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| CN105825044A true CN105825044A (en) | 2016-08-03 |
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| CN201610136396.1A Withdrawn CN105825044A (en) | 2016-03-10 | 2016-03-10 | Medical care large data analysis and treatment system and method based on web page browsing |
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| WO (1) | WO2017152638A1 (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017152638A1 (en) * | 2016-03-10 | 2017-09-14 | 深圳市前海安测信息技术有限公司 | System and method for medical big data analysis and processing based on webpage browsing |
| CN107967948A (en) * | 2017-12-07 | 2018-04-27 | 泰康保险集团股份有限公司 | Medical big data analysis method and apparatus |
| WO2018120669A1 (en) * | 2016-12-31 | 2018-07-05 | 深圳市易特科信息技术有限公司 | Medical data query system and method based on big data association and storage |
| CN110335683A (en) * | 2019-06-14 | 2019-10-15 | 北京纵横无双科技有限公司 | A kind of health big data analysis method and device |
| CN110347917A (en) * | 2019-06-14 | 2019-10-18 | 北京纵横无双科技有限公司 | A kind of medical information method for pushing and device |
| CN113011988A (en) * | 2021-02-20 | 2021-06-22 | 北京爱选信息科技有限公司 | Insurance actuarial system based on big data |
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| CN101493832A (en) * | 2009-03-06 | 2009-07-29 | 辽宁般若网络科技有限公司 | Website content combine recommendation system and method |
| CN102129526A (en) * | 2011-04-02 | 2011-07-20 | 中国医学科学院医学信息研究所 | Public-oriented method and system for medical treatment guide-type self-help triage registering |
| US9106979B2 (en) * | 2012-03-14 | 2015-08-11 | Arris Technology, Inc. | Sentiment mapping in a media content item |
| US20140114677A1 (en) * | 2012-10-23 | 2014-04-24 | Theranos, Inc. | Assisted Medical and Associated Lifestyle Decision Making |
| CN104915406B (en) * | 2015-06-02 | 2018-10-23 | 华东师范大学 | A kind of user search method towards community medicine decision |
| CN105825044A (en) * | 2016-03-10 | 2016-08-03 | 深圳市前海安测信息技术有限公司 | Medical care large data analysis and treatment system and method based on web page browsing |
-
2016
- 2016-03-10 CN CN201610136396.1A patent/CN105825044A/en not_active Withdrawn
- 2016-10-31 WO PCT/CN2016/104131 patent/WO2017152638A1/en active Application Filing
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017152638A1 (en) * | 2016-03-10 | 2017-09-14 | 深圳市前海安测信息技术有限公司 | System and method for medical big data analysis and processing based on webpage browsing |
| WO2018120669A1 (en) * | 2016-12-31 | 2018-07-05 | 深圳市易特科信息技术有限公司 | Medical data query system and method based on big data association and storage |
| CN107967948A (en) * | 2017-12-07 | 2018-04-27 | 泰康保险集团股份有限公司 | Medical big data analysis method and apparatus |
| CN107967948B (en) * | 2017-12-07 | 2021-10-08 | 泰康保险集团股份有限公司 | Medical big data analysis method and device |
| CN110335683A (en) * | 2019-06-14 | 2019-10-15 | 北京纵横无双科技有限公司 | A kind of health big data analysis method and device |
| CN110347917A (en) * | 2019-06-14 | 2019-10-18 | 北京纵横无双科技有限公司 | A kind of medical information method for pushing and device |
| CN113011988A (en) * | 2021-02-20 | 2021-06-22 | 北京爱选信息科技有限公司 | Insurance actuarial system based on big data |
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| Publication number | Publication date |
|---|---|
| WO2017152638A1 (en) | 2017-09-14 |
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