CN105512981A - System and method for medical service supply and demand matching based on network - Google Patents
System and method for medical service supply and demand matching based on network Download PDFInfo
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- CN105512981A CN105512981A CN201410486054.3A CN201410486054A CN105512981A CN 105512981 A CN105512981 A CN 105512981A CN 201410486054 A CN201410486054 A CN 201410486054A CN 105512981 A CN105512981 A CN 105512981A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M3/00—Conversion of dc power input into dc power output
- H02M3/22—Conversion of dc power input into dc power output with intermediate conversion into ac
- H02M3/24—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters
- H02M3/28—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac
- H02M3/325—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal
- H02M3/335—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only
- H02M3/33569—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only having several active switching elements
- H02M3/33576—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only having several active switching elements having at least one active switching element at the secondary side of an isolation transformer
- H02M3/33592—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only having several active switching elements having at least one active switching element at the secondary side of an isolation transformer having a synchronous rectifier circuit or a synchronous freewheeling circuit at the secondary side of an isolation transformer
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M1/00—Details of apparatus for conversion
- H02M1/36—Means for starting or stopping converters
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M3/00—Conversion of dc power input into dc power output
- H02M3/22—Conversion of dc power input into dc power output with intermediate conversion into ac
- H02M3/24—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters
- H02M3/28—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac
- H02M3/325—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal
- H02M3/335—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only
- H02M3/33507—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only with automatic control of the output voltage or current, e.g. flyback converters
- H02M3/33515—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only with automatic control of the output voltage or current, e.g. flyback converters with digital control
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M3/00—Conversion of dc power input into dc power output
- H02M3/22—Conversion of dc power input into dc power output with intermediate conversion into ac
- H02M3/24—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters
- H02M3/28—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac
- H02M3/325—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal
- H02M3/335—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only
- H02M3/33507—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only with automatic control of the output voltage or current, e.g. flyback converters
- H02M3/33523—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only with automatic control of the output voltage or current, e.g. flyback converters with galvanic isolation between input and output of both the power stage and the feedback loop
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M1/00—Details of apparatus for conversion
- H02M1/0003—Details of control, feedback or regulation circuits
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M1/00—Details of apparatus for conversion
- H02M1/0003—Details of control, feedback or regulation circuits
- H02M1/0006—Arrangements for supplying an adequate voltage to the control circuit of converters
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/10—Technologies improving the efficiency by using switched-mode power supplies [SMPS], i.e. efficient power electronics conversion e.g. power factor correction or reduction of losses in power supplies or efficient standby modes
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention relates to a system and a method for medical service supply and demand matching based on a network. The system and the method involve a user operation subsystem, a doctor resource subsystem, a search subsystem and a sorting subsystem which are connected via a network, and are characterized in that the user operation subsystem is used for interacting with the doctor resource subsystem to enter and release doctor resource information; and the user operation subsystem is further used for interacting with the search subsystem to enable the search subsystem to match out doctor resources from doctor resource data according to disease keywords input by a user, and the doctor resources are sorted through the sorting subsystem according to specified rules. The system and the method take into consideration the data of the whole medical process, and precise matching of medical service supply and demand is realized.
Description
Technical field
The present invention relates to network medical treatment service field, relate to a kind of system and one network medical services supply-demand mode method of network medical services supply-demand mode particularly.
Background technology
Along with the continuous progress of society and the raising of living standard, the demand of people to health care strengthens day by day.But due to the dispersiveness of patient and doctor's resource, in field of medical service, there is the problem that medical resource and patient demand can not promptly and accurately mate always.
Under common seek medical advice, patient does not know the integral status of doctor's resource, enter certain hospital seek doctor there is larger blindness, usually because seek medical advice not in time or the delay treatment because can not find suitable doctor, and doctor is usually because of not arranging its time very well less time many during medical patient, or because the disease of patient is not mated with doctor's technical ability and throws into question.
And under common seek medical advice, the personal health situation of patient, record, the diagnosis and treatment quality etc. of seeking medical advice data can not get unified and effectively follow the trail of.So also extend the Diagnostic Time of disease to a certain extent.
With the development of network technology, there are some network medical service systems, such as, remote diagnosis, electronic medical record system etc.But, also there is not the really effective system and method for medical services supply-demand mode.
Summary of the invention
For above-mentioned medical services supply-demand mode problem, the invention provides a kind of network medical services supply-demand mode system, described system comprises by the interconnective user operation subsystem of network, doctor's resource subsystem, search subsystem and sequencing subsystem, it is characterized in that
Described doctor's resource subsystem is for storing the essential information of respective surgeons, pot life section, paying price and work preference;
Described search subsystem is used for going out doctor's resource according to Keywords matching;
Described sequencing subsystem is used for sorting to the doctor's resource searched out according to sort algorithm;
Described user operation subsystem is used for doctor's resource subsystem mutual, with typing and issue doctor resource information; And
Described user operation subsystem is also for carrying out alternately with search subsystem, search subsystem is taken up a job as a doctor in production-goods source data according to the disease keyword that user inputs and matches doctor's resource, and by sequencing subsystem by described doctor's resource by specified rule sequence.
Preferably, in above-mentioned medical services supply-demand mode system, Disease diagnosis expert system is equipped with before described search subsystem, the patients symptomatic that this expert system is used for inputting according to described user operation subsystem infers disease name, and using the search keyword of disease name as described search subsystem.
Preferably, in above-mentioned medical services supply-demand mode system, described search subsystem has preposition conditional filtering module, and described conditional filtering module is used for:
The screening conditions inputted according to described operational subsystems are taken up a job as a doctor in production-goods source and are screened doctor's resource, and described search subsystem goes out corresponding doctor's resource with keyword search from the doctor's resource meeting screening conditions.
Preferably, in above-mentioned medical services supply-demand mode system, described system also comprises the patient medical archives subsystem of history of seeking medical advice for store patient.
Preferably, in above-mentioned medical services supply-demand mode system, described system also comprises the real-time reservation situation statistics sub system added up the real-time reservation situation of doctor's resource.
Preferably, in above-mentioned medical services supply-demand mode system, described system comprises recommendation subsystem, and described recommendation subsystem recommends doctor's resource according to the patient of patient medical archives subsystem history of seeking medical advice, and increases the correlativity of recommended doctor's resource.
Preferably, in above-mentioned medical services supply-demand mode system, the recommendation of described recommendation subsystem adopts Collaborative Recommendation algorithm.
Preferably, in above-mentioned medical services supply-demand mode system, described sequencing subsystem is according to the selection of user, and the real-time reservation situation respectively according to the correlativity of doctor's resource, price or doctor sorts.
Preferably, in above-mentioned medical services supply-demand mode system, described sequencing subsystem uses certain sort algorithm, carries out integrated ordered according to multiple correlation factors to doctor's resource, and the correlative factor of sequence institute foundation comprises the real-time reservation situation of correlativity, price and doctor.
Preferably, in above-mentioned medical services supply-demand mode system, patient selects physician visits from doctor's resource that this system matches goes out, and provides evaluation after medical, and diagnosis information is charged to patient medical archives subsystem.
Another aspect of the present invention provides a kind of method of being carried out medical services supply-demand mode by network, it is characterized in that, comprises the steps:
Issue doctor's resource, comprise the essential information of doctor, pot life section, paying price and work preference;
According to the disease of patient, production-goods of taking up a job as a doctor searches out doctor's resource in source;
The doctor's resource searched out is sorted, and is presented to user.
Preferably, in above-mentioned medical services supply-demand mode system, described patient disease is inferred according to patients symptomatic by Disease diagnosis expert system.
Preferably, in above-mentioned medical services supply-demand mode system, be carry out after the screening conditions according to user's setting are screened doctor's resource to the search of doctor's resource.
Preferably, in above-mentioned medical services supply-demand mode system, real-time statistics can be carried out to the reservation situation of doctor's resource before the doctor's resource searched out is sorted.
Preferably, in above-mentioned medical services supply-demand mode system, the sequence of described doctor's resource uses sort algorithm to carry out multiple correlation factors.
Preferably, in above-mentioned medical services supply-demand mode system, the correlative factor of sort by comprises the real-time reservation situation of correlativity, price and doctor.
Preferably, in above-mentioned medical services supply-demand mode system, described method can recommend doctor's resource according to the medical archive of patient, increases the correlativity of recommended doctor's resource.
Preferably, in above-mentioned medical services supply-demand mode system, Collaborative Recommendation algorithm is adopted to seek medical advice history recommendation doctor resource according to patient.
Preferably, in above-mentioned medical services supply-demand mode system, the sequence carried out described doctor's resource is that the ordering factor selected according to user carries out, and described ordering factor comprises correlativity, the price of doctor's resource and preengages situation in real time.
Preferably, in above-mentioned medical services supply-demand mode system, doctor's resource that patient's foundation method matches is gone to a doctor, and provides evaluation to doctor's resource after medical, and preserves diagnosis information and to seek medical advice history as patient.
System and method of the present invention solves the basic problem of medical services supply-demand mode, and wherein by using conditional filtering, keyword search, Disease diagnosis expert system and Collaborative Recommendation algorithm, build the knowledge search system and method playing the medical services supply-demand mode of complete set.Wherein, with patient health information, patients symptomatic, detection data and public health data for input, accurate personalized medical services coupling can be realized.Its advantage has, and this system and method has taken into full account the data of medical profession flow process various aspects, and integrated use search, recommendation and knowledge reasoning technology, finally complete efficient medical services supply-demand mode.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of an embodiment according to medical services supply-demand mode system of the present invention.
Fig. 2 is the schematic diagram of the module relevant to keyword search of an embodiment according to medical services supply-demand mode system of the present invention.
Fig. 3 is the schematic diagram of the module relevant to Collaborative Recommendation of an embodiment according to medical services supply-demand mode system of the present invention.
Fig. 4 is the schematic diagram of the module relevant to sequence according to an embodiment of medical services supply-demand mode system of the present invention.
Fig. 5 is the schematic diagram of an embodiment according to medical services supply-demand mode system of the present invention.
Fig. 6-12 is block diagram of the different embodiments according to medical services supply-demand mode method of the present invention.
Embodiment
With specific embodiment, present invention is described below with reference to the accompanying drawings, but it is clear that these embodiments are exemplary, do not form limiting the scope of the invention.Protection scope of the present invention is defined by claim, and wherein, those skilled in the art characteristic may combine arbitrarily and any equivalence of its feature is replaced also fall within protection scope of the present invention.
With reference to accompanying drawing 1, in an embodiment of medical services supply-demand mode system of the present invention, include user operation subsystem, doctor's resource subsystem, keyword search subsystem and sequencing subsystem.
Wherein, user operation subsystem is used for carrying out alternately, particularly, including the typing of doctor's resource and release module with doctor's resource subsystem and keyword search subsystem, search keyword load module.
Doctor's resource subsystem includes doctor's resource information and doctor-keyword linked database.Doctor's resource information comprises doctor's essential information, temporal information, pricing information and remark information.Wherein, the information such as essential information comprises physician names, contact method, academic title, section office, specialty are good at; Temporal information is the pot life section of doctor, can be with a given time span for least unit, such as half an hour; The paying price that pricing information doctor goes out according to oneself professional skill and market comprehensive assessment; In remark information, doctor can define oneself preference, is such as on diagnostics or pays a home visit, the geographical position range of paying a home visit, receiving the patient etc. of what type.
Doctor's resource is also set up and has doctor-keyword linked database, so that search for.Such as, certain doctor is good at the treatment of children Streptococcus, and thus this doctor and keyword children Streptococcus are associated with.This database can carry out manual mark by professional at the system cloud gray model initial stage, can carry out keyword excavation and automatic marking in system operation by search input, return visit evaluation etc. to accumulated language material.
Keyword search subsystem is a search engine, its essence is to set up inverted index in above-mentioned doctor-keyword associated data, then searches for corresponding doctor's resource with keyword.
Sequencing subsystem is used for the sequence of Search Results, such as sorts according to the degree of correlation of doctor's resource with search keyword.
Said system is a minimized embodiment of medical services supply-demand mode system of the present invention, wherein, by the mutual foundation of user operation subsystem and doctor's resource subsystem with issue doctor's resource information.
Keyword is inputted to keyword search subsystem by the search keyword load module of user operation subsystem, search subsystem searches out doctor according to this keyword from doctor-keyword associated data, then order module sorts to Search Results according to certain ordering rule, selects suitable doctor's resource to seek medical advice for patient.
As shown in Figure 2, in some cases, the disease suffered from of the user of native system patient not fully aware of.Thus, can not accurate inputted search keyword, in order to address this problem, in one embodiment, Disease diagnosis expert system is equipped with before described search subsystem, the patients symptomatic that this expert system is used for inputting according to described user operation subsystem infers disease name, and using the search keyword of disease name as described search subsystem.
And as patient, when seeking medical advice, usually have individual demand, such as some female patient desirably doctress be oneself treatment.Thus, screening module is had in the module that the keyword search shown in Fig. 2 is relevant, the screening conditions that described conditional filtering module is used for inputting according to described operational subsystems are taken up a job as a doctor in production-goods source and are screened doctor's resource, and described search subsystem goes out corresponding doctor's resource with keyword search from the doctor's resource meeting screening conditions.That is, such as, if it is doctress that above-mentioned patient have input screening conditions, so in the Search Results of search subsystem, only there will be doctress.
The medical archive of patient individual is important medical data, and its supply-demand mode for medical services also has great significance.Thus, in the another one embodiment of the supply-demand mode system of medical services of the present invention, there are patient medical archives, and doctor's recommendation can be carried out according to patient medical archives.
As shown in Figure 3, in this embodiment, include patient medical archive database, the Profile typing module in user operation subsystem can complete the typing of patient medical archives.And in system, also including Collaborative Recommendation subsystem, this Collaborative Recommendation subsystem uses certain Collaborative Recommendation algorithm, recommends the doctor be applicable to according to patient medical archives to patient.Existing multiple Collaborative Recommendation algorithm can use in the present system, such as based on neighbor method (Neighborhood-basedapproach), item to the method (item-to-itemapproach), sorting technique (Classificationapproach), projecting method (Affinity-basedapproach) etc. of item.
The correlativity of doctor's resource of recommending can increase, and thus, after recommendation results is input to sequencing subsystem, the sequence of recommended doctor's resource in sequencing subsystem can be made to increase.
In the medical procedure of reality, the real-time reservation situation of doctor is also that patient selects doctor important Consideration.Such as, patient compares the doctor tending to select hot topic.Thus, in one embodiment of the invention, there is corresponding enforcement to preengage statistical module, real-time statistics is carried out to the reservation situation of respective surgeons.This real-time statistics module can use the method statistic of such as flow data analysis to go out the temperature of doctor's reservation, then affects the sequence of doctor's resource searching result with the temperature of doctor's reservation.
As shown in Figure 4, in one embodiment of the invention, sequencing subsystem is connected with real-time reservation situation statistics sub system with keyword search subsystem, Collaborative Recommendation subsystem simultaneously, that is, sequencing subsystem uses certain sort algorithm integrated ordered to carry out.In this embodiment, sequencing subsystem considers the temperature of correlativity, price and doctor.Wherein keyword search subsystem and Collaborative Recommendation subsystem can affect the correlativity of result, and real-time reservation situation statistical module determines the temperature of doctor, and price comes from the pricing information that doctor issues.
In this embodiment, select according to user, system can sort to doctor's resource results according to single factors, such as, can sort by price.
But in this embodiment, default what provide is the integrated ordered of above-mentioned many factors, and the algorithm used that sorts can be obtained by machine learning.Such as, particularly, manually can demarcate sequence to the result searched out, then adopt the such as machine learning algorithm such as decision tree, maximum entropy to go out sort algorithm model, for integrated ordered from the artificial ranking results learning demarcated.
As shown in Figure 5, in one embodiment of the invention, above-mentioned subsystems and module is combined.Wherein, user operation subsystem includes the typing of doctor's resource and release module, screening conditions load module, symptom load module, search keyword load module, Profile typing module.
First, by the typing of doctor's resource and release module, set up doctor's resource data and doctor-keyword associated data;
Then, when needing to match suitable doctor's resource for patient, can by screening conditions load module input screening conditions, screening conditions module is filtered searchable doctor's resource according to described condition.
If patient suffers from the disease clear, can directly by the direct inputted search keyword of search keyword load module.
If the disease that patient suffers from is also unclear, then can input patients symptomatic by symptom load module to Disease diagnosis expert system, Disease diagnosis expert system can infer disease according to this symptom, as the input of keyword search subsystem.
Search subsystem is admitted to sequencing subsystem according to doctor's resource that above-mentioned keyword and screening conditions search out and sorts.
Further, Collaborative Recommendation subsystem can carry out doctor's recommendation according to patient medical archives, and the result of recommending can send into sequencing subsystem equally, affects the correlativity of doctor's resource.
Meanwhile, doctor's temperature input sequencing subsystem that situation real-time statistics subsystem can be counted is preengage.
Described sequencing subsystem according to above-mentioned input, can sort to doctor's resource according to certain sort algorithm, exports doctor's the Resources list.
Patient can select to seek medical advice according to above-mentioned doctor's the Resources list, by archives input patient medical archives subsystem of seeking medical advice, and can evaluate the situation of seeking medical advice after seeking medical advice.
As Fig. 6, in another aspect of the present invention, provide a kind of method of being carried out medical services supply-demand mode by network, it is characterized in that, comprise the steps:
Step S1010: first, such as apply above-mentioned user operation subsystem, doctor can issue doctor's resource, comprises the essential information of doctor, pot life section, paying price and work preference;
Step S1020: after doctor has issued medical resource, patient can according to the disease of patient, and being taken up a job as a doctor in production-goods source by search engine searches out doctor's resource;
Step S1030: because the doctor's resource searched out may be more, but the correlativity of each resource is not identical, thus, needs the doctor's resource to searching out to sort, and is presented to user.Doctor's resource after above-mentioned sequence can instruct patient to seek medical advice.
As Fig. 7, as described above, the disease that user may suffer from patient is also unclear, thus in another embodiment, before the step S1020 of the method for above-mentioned medical services supply-demand mode, can S1015 in steps, infer according to the symptom of patient the disease that patient may suffer from by Disease diagnosis expert system in this step, then user can the disease inferred of choice for use to carry out the search of doctor's resource.
As Fig. 8, similar, as described above, the requirement that patient may be a bit special to doctor's resource, such as, some female patient requests male sex doctor treats.Thus, in another embodiment of above-mentioned matching process, before the step S1020 of the method for above-mentioned medical services supply-demand mode, can S1018 in steps, the screening conditions of user's setting, screen the doctor's resource that may be used for searching in this step.
As Fig. 9, in order to consider the impact of the predetermined case of doctor's resource on sequence, in another embodiment of above-mentioned matching process, before the step S1030 that Search Results is sorted, have the step S1025 that the predetermined case of doctor's resource is added up, and ordered steps S1030 can sort according to the real-time predetermined case of the degree of correlation, price and doctor's resource.
As Figure 10, in another embodiment of above-mentioned matching process, before the step S1030 that Search Results is sorted, have and utilize the information in patient medical archives to carry out the step S1028 recommended, in this step, such as utilize synergetic to recommend doctor's resource.
In one embodiment, ordered steps S1030 can utilize sort algorithm, and the real-time predetermined case considering the degree of correlation, price and doctor's resource sorts to doctor's resource.This sort algorithm is such as first utilize manually to sort to doctor's resource results, then utilizes machine learning and the sort algorithm obtained.
And in the ordered steps S1030 of another one embodiment, according to the selection of user, according in the degree of correlation, price and doctor's resource, doctor's resource results can be sorted respectively.
As Figure 11, and In yet another embodiment, after ordered steps S1030, patient can in step S1040, select doctor resource to seek medical advice according to the result of sequence, then in step S1050 by the evaluation of this medical treatment and the archives preservation of seeking medical advice to patient medical archives subsystem.
As Figure 12, in one embodiment, described method of carrying out medical services supply-demand mode by network comprehensively employs each step above-mentioned.
By specific embodiment, system and method for the present invention is described above, but it is to be understood that above-described embodiment is only exemplary, does not form limiting the scope of the invention.Protection scope of the present invention is defined by the claims, and, wherein by all technical characteristics may combine arbitrarily and scheme that equivalencing known to those skilled in the art is formed also drops in protection scope of the present invention.
Claims (20)
1. a network medical services supply-demand mode system, described system comprises by the interconnective user operation subsystem of network, doctor's resource subsystem, search subsystem and sequencing subsystem, it is characterized in that,
Described doctor's resource subsystem is for storing the essential information of respective surgeons, pot life section, paying price and work preference;
Described search subsystem is used for going out doctor's resource according to Keywords matching;
Described sequencing subsystem is used for sorting to the doctor's resource searched out according to sort algorithm;
Described user operation subsystem is used for doctor's resource subsystem mutual, with typing and issue doctor resource information; And
Described user operation subsystem is also for carrying out alternately with search subsystem, search subsystem is taken up a job as a doctor in production-goods source data according to the disease keyword that user inputs and matches doctor's resource, and by sequencing subsystem, searched out doctor's resource is sorted by specified rule.
2. medical services supply-demand mode system according to claim 1, it is characterized in that, Disease diagnosis expert system is equipped with before described search subsystem, the patients symptomatic that this expert system is used for inputting according to described user operation subsystem infers disease name, and using the search keyword of disease name as described search subsystem.
3. medical services supply-demand mode system according to claim 1, is characterized in that, described search subsystem has preposition conditional filtering module, and described conditional filtering module is used for:
The screening conditions inputted according to described operational subsystems are taken up a job as a doctor in production-goods source and are screened doctor's resource, and described search subsystem goes out corresponding doctor's resource with keyword search from the doctor's resource meeting screening conditions.
4. medical services supply-demand mode system according to claim 1, is characterized in that, described system also comprises the patient medical archives subsystem of history of seeking medical advice for store patient.
5. medical services supply-demand mode system according to claim 1, is characterized in that, described system also comprises the real-time reservation situation statistics sub system added up the real-time reservation situation of doctor's resource.
6. medical services supply-demand mode system according to claim 4, it is characterized in that, described system comprises recommendation subsystem, and described recommendation subsystem recommends doctor's resource according to the patient of patient medical archives subsystem history of seeking medical advice, and increases the correlativity of recommended doctor's resource.
7. medical services supply-demand mode system according to claim 6, is characterized in that, the recommendation of described recommendation subsystem adopts Collaborative Recommendation algorithm.
8. medical services supply-demand mode system according to claim 5, is characterized in that, described sequencing subsystem is according to the selection of user, and the real-time reservation situation respectively according to the correlativity of doctor's resource, price or doctor sorts.
9. medical services supply-demand mode system according to claim 5, it is characterized in that, described sequencing subsystem uses sort algorithm, carries out integrated ordered according to multiple correlation factors to doctor's resource, and the correlative factor of sequence institute foundation comprises the real-time reservation situation of correlativity, price and doctor.
10. medical services supply-demand mode system according to claim 4, is characterized in that, patient selects physician visits from doctor's resource that this system matches goes out, and provides evaluation after medical, and diagnosis information is charged to patient medical archives subsystem.
11. 1 kinds are carried out the method for medical services supply-demand mode by network, it is characterized in that, comprise the steps:
Issue doctor's resource, comprise the essential information of doctor, pot life section, paying price and work preference;
According to the disease of patient, production-goods of taking up a job as a doctor searches out doctor's resource in source;
The doctor's resource searched out is sorted.
The method of 12. medical services supply-demand mode according to claim 11, is characterized in that, described patient disease is inferred according to patients symptomatic by Disease diagnosis expert system.
The method of 13. medical services supply-demand mode according to claim 11, is characterized in that, is carry out after the screening conditions according to user's setting are screened doctor's resource to the search of doctor's resource.
The method of 14. medical services supply-demand mode according to claim 11, is characterized in that, can carry out real-time statistics before sorting to the doctor's resource searched out to the reservation situation of doctor's resource.
The method of 15. medical services supply-demand mode according to claim 11, is characterized in that, described doctor's resource sequence uses sort algorithm consideration multiple correlation factors to sort.
The method of 16. medical services supply-demand mode according to claim 14, is characterized in that, the correlative factor of sort by comprises the real-time reservation situation of correlativity, price and doctor.
The method of 17. medical services supply-demand mode according to claim 11, is characterized in that, described method can recommend doctor's resource according to the medical archive of patient, increases the correlativity of recommended doctor's resource.
The method of 18. medical services supply-demand mode according to claim 18, is characterized in that, adopts Collaborative Recommendation algorithm to seek medical advice history recommendation doctor resource according to patient.
The method of 19. medical services supply-demand mode according to claim 12, it is characterized in that, the sequence carried out described doctor's resource is that the ordering factor selected according to user carries out, and described ordering factor comprises correlativity, the price of doctor's resource and preengages situation in real time.
The method of 20. medical services supply-demand mode according to claim 11, is characterized in that, doctor's resource that patient's foundation method matches is gone to a doctor, and provides evaluation to doctor's resource after medical, and preserves diagnosis information and to seek medical advice history as patient.
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| CN201410486054.3A CN105512981A (en) | 2014-09-22 | 2014-09-22 | System and method for medical service supply and demand matching based on network |
| HK16111050.6A HK1222937A1 (en) | 2014-09-22 | 2016-09-21 | System and method for medical service supply and demand matching based on network |
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