CN102043812A - Method and system for retrieving medical information - Google Patents
Method and system for retrieving medical information Download PDFInfo
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- CN102043812A CN102043812A CN2009102353878A CN200910235387A CN102043812A CN 102043812 A CN102043812 A CN 102043812A CN 2009102353878 A CN2009102353878 A CN 2009102353878A CN 200910235387 A CN200910235387 A CN 200910235387A CN 102043812 A CN102043812 A CN 102043812A
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Abstract
The invention provides a method for retrieving medical information, comprising the following steps of: obtaining matched keywords from a preset keyword sample bank according to input information committed by users; retrieving in a medical information database according to the keywords; and returning retrieving results to the users. With the method, the retrieved information can meet the real demands of the users to the maximum limit, that is to say, the validity of information retrieval is ensured.
Description
Technical field
The present invention relates to technical field of information retrieval, particularly relate to a kind of search method of medical information and a kind of searching system of medical information.
Background technology
Along with popularizing and the high speed development of infotech of the Internet, among the vast sea of information, search and utilize information more accurately in order to satisfy the user, the technology of various information processings is arisen at the historic moment, and wherein, information retrieval technique has become the main direction of studying of the information processing technology.
Be well known that, recall ratio and precision ratio are the leading indicators of examination information retrieval technique, yet, in practice, even looked into entirely all information of keyword correspondence, but because information is magnanimity, the user often can not browse each bar information, promptly can not screen all information that retrieves; Even and look into accurate and all information of keyword coupling, but the information that is found often can not satisfy user's real demand.Particularly for the retrieval technique of medical information, if the information that is found can not solve user's problem, or even false or insecure medical information, then might cause irremediable injury to user's health and physical and mental health.
Therefore, how to make the information As soon as possible Promising Policy user's who retrieves real demand, i.e. the validity of guarantee information retrieval is the problem that those skilled in the art press for solution.
Summary of the invention
Technical matters to be solved by this invention provides a kind of search method and system of medical information, so that the information As soon as possible Promising Policy user's who retrieves real demand, i.e. the validity of guarantee information retrieval.
In order to address the above problem, the invention discloses a kind of search method of medical information, comprising:
From the keyword sample storehouse of presetting, obtain the keyword of coupling according to the input information of user's submission;
Retrieve in the medical information data storehouse according to described keyword;
Return result for retrieval to the user.
Preferably, before the step that the foundation keyword is retrieved, also comprise:
Return a plurality of keywords of described coupling to the user, and to receive at least one keyword that the user selectes be the keyword of current retrieval usefulness.
Preferably, described medical information has class label, and described keyword has the corresponding relation with described class label, and the step of described retrieval comprises:
Retrieve in medical information subdata base according to described keyword according to corresponding class label tissue.
Preferably, described user has corresponding account hierarchy information, and described medical information has the level distinguishing label corresponding with described account levels, and the step of described retrieval comprises:
Retrieve in medical information subdata base according to described keyword according to corresponding level label tissue;
The described step of returning result for retrieval comprises:
Account hierarchy according to described user returns corresponding result for retrieval.
Preferably, before returning the step of result for retrieval, also comprise to the user:
According to the authentication information of information truth degree, and/or the user sorts to the result for retrieval that finds at the good and bad feedback information of described information.
Preferably, the class label of described medical information is to divide according to classification of diseases standard, illness position and/or symptom information.
The embodiment of the invention also discloses a kind of searching system of medical information, comprising:
The keyword acquisition module is used for obtaining from the keyword sample storehouse of presetting according to the input information that the user submits to the keyword of coupling;
Retrieval module is used for retrieving in the medical information data storehouse according to described keyword;
Result for retrieval returns module, is used for returning result for retrieval to the user.
Preferably, described system also comprises:
The keyword determination module is used for returning to the user a plurality of keywords of described coupling, and to receive at least one keyword that the user selectes be the keyword of current retrieval usefulness.
Preferably, described medical information has class label, and described keyword has the corresponding relation with described class label, and described retrieval module comprises:
The classification matched sub-block is used for retrieving at the medical information subdata base according to corresponding class label tissue according to described keyword.
Preferably, described user has corresponding account hierarchy information, and described medical information has the level distinguishing label corresponding with described account levels, and described retrieval module comprises:
The rank matched sub-block is used for retrieving according to the medical information subdata base of corresponding level label tissue according to described keyword;
Described result for retrieval returns module and also is used for returning corresponding result for retrieval according to described user's account hierarchy.
Compared with prior art, the present invention has the following advantages:
The inventor herein is at the polarization feature of medical information, a kind of information retrieval method based on " pattern of looking for food " is creatively proposed, so-called " pattern of looking for food " promptly refers to the information retrieval customer-centric, just the user obtains " maximization satisfy " to the demand of effective information and is starting point, allows the user become the result for retrieval that acquisition is on one's own initiative wanted by obtaining result for retrieval passively.
In this patent, concrete intension based on the information retrieval technique of " pattern of looking for food ": can be from bring up to retrieval based on the coupling retrieval of keyword based on the professional knowledge corresponding with keyword, promptly be mapped in the keyword sample storehouse of presetting by the keyword that the user is submitted to, after getting access to relevant customization keyword, in the database of correspondence, carry out information retrieval again.This is an information retrieval process based on professional knowledge, and it can make the user that the thing that will retrieve is located sooner, known more deeply, solve more.Thereby make the information As soon as possible Promising Policy user's who retrieves real demand, the validity of guarantee information retrieval.
Moreover, the corresponding keyword composition of sample of employing of the present invention and class label, can be at the simple description of user to self health problem, extract more professional and accurately the keyword sample retrieve, and do not need the user repeatedly to retrieve the result that could obtain to want, also not needing the user to rack one's brains provides specialty, medical terminology description accurately the most, has effectively improved user's medical information recall precision, makes the user can obtain better experience.
Description of drawings
Fig. 1 is the process flow diagram of the search method embodiment 1 of a kind of medical information of the present invention;
Fig. 2 is the process flow diagram of the search method embodiment 2 of a kind of medical information of the present invention;
Fig. 3 is the structured flowchart of the searching system embodiment of a kind of medical information of the present invention.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
Information retrieval technique involved in the present invention relates to the information retrieval technique of narrow sense, promptly according to information user's Search Requirement, utilize existing gopher or database, therefrom find out the process of customizing messages, be equivalent to the said information inquiry of people (Information Search).The ultimate principle of this information retrieval is, with describing the enquirement feature of specific user's information needed and the searching mark of information stores, carries out the comparison of the similarities and differences, therefrom finds out and the information of puing question to the consistent or basically identical of feature.At present, computer information retrieval has become the main mode that the user obtains information, and in Machine Retrieval System, this work is finished by " system-user interface ", it is a kind of system-oriented man-machine interface, bears the communication function between user and the system.Be responsible for the term and the question-type of process user input, and with they with database in the data of storing compare computing, will detect the result at last and export with certain form.Along with popularizing of the Internet, search engine becomes the main tool of carrying out information retrieval in the magnanimity information of people on network, the global search technology that is based on the keyword coupling that at present online most search engine uses, it comes Query Information by search key string in the text.The mechanical type matching way of this keyword, its intrinsic shortcoming are the external expressive form of having only word that participates in coupling, but not therefore infull result often appears giving an irrelevant answer, retrieving in their expressed notion semantemes.And the keyword that the user provides because result for retrieval places one's entire reliance upon there is no between system and the user further alternately, also is to cause one of poor reason of retrieval effectiveness.In addition, full-text search can not be satisfied the user fully the real demand of information retrieval is also shown: the user wishes can consider much more, the content that input oneself need be searched in search condition, and search engine can be tried to figure out user's semanteme, find out the effective information that is complementary with user's real demand and feed back to the user, do not need the user too much information to be browsed one by one and screened.
Consider the professional and preciseness of medical information, the inventor herein creatively proposes a kind of information retrieval method based on " pattern of looking for food ", so-called " pattern of looking for food " promptly refers to the information retrieval customer-centric, just the user obtains " maximization satisfy " to the demand of effective information and is starting point, allows the user become the result for retrieval that acquisition is on one's own initiative wanted by obtaining result for retrieval passively.
Particularly, along with the very fast growth of quantity of information, the polarization feature that information presents polarization feature, particularly medical information is more obvious, and so-called the polarization is exactly that certain category information may be thousands of, and certain category information is difficult to find trace.For example: the relevant information of certain common disorder may be just thousands of, for example the gastrotherapy scheme; But some difficult and complicated cases may be searched all over whole medical data base and also is difficult to obtain one or two useful information.At this polarization feature of medical information, the medical information retrieval technique mainly needs to solve two problems:
1. if the user seeks certain disease treatment scheme if feed back to thousands of useful informations, can retrieval technique sort out the information of " the most useful " wherein and feed back to the user, in order to avoid the user browses one by one and browses, its real user also can not browse thousands of information item by item, for example: if the user seeks a therapeutic scheme about the treatment atrophic gastritis, may have up to ten million information in the medical information data storehouse, adopt the retrieval technique of " pattern of looking for food ", just can feed back to the user to the information priority that result of treatment is arranged most.
2. if the user seeks a hepatitis B curing scheme, because hepatitis B remains the disease that can not cure in current medical circle, therefore may also be difficult to the scheme of obtaining the effective treatment in the medical information data storehouse, at this moment, adopt " pattern of looking for food " retrieval technique will feed back one and have optimum matching information to the user.
So-called " pattern of looking for food " retrieval technique is exactly that the process of looking for food of animal is incorporated in the information retrieval process: when a certain animal in the process of " seeking " food, if obtain many portions of edible foods simultaneously, it can select favorite food to eat, " choosing whichever is to one personal advantage " behavior has embodied " the autonomous selectivity " that animal is looked for food in this process of looking for food, the behavior process of correspondence can be reflected in the demand of " information is used by oneself " in the information retrieval technique; If this animal is in state as hungry as a hunter, also be difficult to obtain more foods at the moment, for fear of hunger, as long as food is arranged just to be eaten, " eating what there is when being hungry " behavior has embodied " Minimum requirements guarantee " that animal is looked for food in this process of looking for food, the behavior, the process of correspondence can be reflected in the requirement of " information optimum matching " in the information retrieval technique, just in retrieving, if can not feed back to the most effective Useful Information of user, so also to feed back to the information of user's optimum matching, to satisfy the demand of user to information.
Information retrieval based on " pattern of looking for food " can be from bringing up to the retrieval based on the professional knowledge corresponding with keyword based on the coupling retrieval of keyword, promptly be mapped in the keyword sample storehouse of presetting by the keyword that the user is submitted to, after getting access to relevant customization keyword, in the database of correspondence, carry out information retrieval again.This is an information retrieval process based on professional knowledge, and it can make the user that the thing that will retrieve is located sooner, known more deeply, solve more.Thereby make the information As soon as possible Promising Policy user's who retrieves real demand, the validity of guarantee information retrieval.
With reference to figure 1, show the process flow diagram of the search method embodiment of a kind of medical information of the present invention, specifically can may further comprise the steps:
Need to prove, in embodiments of the present invention, storage is professional keyword customization, medical domain in the described keyword sample storehouse, these keywords can adopt the scheme of various intelligent excavatings (knowledge excavation) such as existing participle, semantic analysis to extract acquisition from medical information in the generative process based on the searching database of medical information.
Introduce some intelligent excavating schemes commonly used below:
1, based on the segmenting method of string matching: be meant according to certain strategy the entry in Chinese character string to be analyzed and the machine dictionary that presets is mated that if find certain character string in dictionary, then the match is successful (identifying a speech).The actual Words partition system that uses, all be mechanical Chinese word segmentation as a kind of branch means just, also need further improve the accuracy rate of cutting by utilizing various other language messages.
2, based on the segmenting method of mark scanning or sign cutting: be meant preferential identification and be syncopated as the speech that some have obvious characteristic in character string to be analyzed, with these speech as breakpoint, former character string can be divided into less string and advance mechanical Chinese word segmentation again, thereby reduce the error rate of mating; Perhaps participle and part-of-speech tagging are combined, utilize abundant grammatical category information that participle is made a strategic decision and offer help, and in the mark process, conversely word segmentation result is tested, adjusted again, thereby improve the accuracy rate of cutting.
3, based on the segmenting method of understanding: be meant by allowing the understanding of anthropomorphic distich of computer mould, reach the effect of identification speech.Its basic thought is exactly to carry out sentence structure, semantic analysis in participle, utilizes syntactic information and semantic information to handle the ambiguity phenomenon.It generally includes three parts: participle subsystem, syntactic-semantic subsystem, master control part.Under the coordination of master control part, the participle subsystem can obtain the sentence structure and the semantic information of relevant speech, sentence etc. and come the participle ambiguity is judged that promptly it has simulated the understanding process of people to sentence.This segmenting method need use a large amount of linguistries and information.
4, based on the segmenting method of adding up: be meant, the confidence level that can reflect into speech preferably owing to word and the frequency or the probability of the adjacent co-occurrence of word in the Chinese information, so can add up to the frequency of the combination of each word of adjacent co-occurrence in the language material, calculate their information that appears alternatively, and the adjacent co-occurrence probabilities that calculate two Chinese character X, Y.The information of appearing alternatively can embody the tightness degree of marriage relation between the Chinese character.When tightness degree is higher than some threshold values, can think that just this word group may constitute a speech.
In concrete the application, the input information that the user submits to can comprise specialty or the non-professional descriptor of user to current Search Requirement, for example, the user can import " may I ask this is that hotness is emitted ", " my dizziness, weak, nauseating, vomiting what if " or the like non-medical technical term at search column, also can import professional medical terminologys such as " renal insufficiency ", " heart and coronary heart disease " at search column; Be that the present invention does not limit the user and adopts which kind of form or form to import.From another point of view, the input information that the user submits to can be speech or short sentence, and considering more can be at the retrieval validity of user's request, and the present invention can limit the length of user's input information, as is limited in 100 bytes.
When the user finishes information input triggering search, can pass through to extract the key message in the input information, and shine upon the keyword that acquisition is complementary in keyword sample storehouse according to described key message.The extraction of described key message can be adopted the scheme of existing various intelligent excavating (knowledge excavation) equally, comprises participle, semantic analysis or the like, and the present invention need not this to be limited.
In a preferred embodiment of the present invention, described medical information data storehouse can comprise a plurality of medical information subdata bases according to the class label tissue of medical information, wherein, the class label of described medical information can be divided for foundation classification of diseases standard, illness position and/or symptom information in concrete the application, and, class label at every information is not limited to single classification, can also have the label of one-level class label, secondary class label, three grades of a plurality of classifications such as class label.In this case, the keyword in the described keyword sample storehouse can generate according to described class label is corresponding, or forms mapping relations, and corresponding retrieval can be finished in the medical information subdata base according to corresponding class label tissue according to described keyword.
For example, as shown in the table according to the class label of classification of diseases standard:
Because classification of diseases medical terminology that standard adopts is professional, then above-mentioned class label all can be used as the keyword sample and deposits to keyword sample storehouse, and promptly described class label and keyword have one-to-one relationship.In practice, if the input information that the user submits to is " chronic migraine ", then in having the information of this class label, all retrieve.
And for example, the mapping relations of a kind of hierarchical categories of dividing according to illness position and symptom information and keyword are as shown in the table:
If the input information that the user submits to is " hypopsia, shadow is arranged at the moment be what disease ", then can pass through the corresponding secondary class labels of acquisition such as participle, semantic analysis is " hypopsia/defect of visual field/metamorphopsia/muscae genetic vision/colour vision change/continuation long sight/refractive diopter increases ", and the keyword sample that extracts mapping then is " an eye and mela-noma of choroid ".And, in the medical information subdata base that information constituted of corresponding secondary class label, retrieve according to this keyword.
Because the corresponding a plurality of keywords of user's input information possibility, as user input " eyes are hot/burn/photophobia/furious/conscious eyes mill pain/as enter as the sand ground roll pain unbearably/eyelid redness/gum is many/keep in dark place/shed tears/secretion is many ", and, " lore rises/has a headache/and fatigue/low-heat/foreign body sensation/scratchy/secretion is few/keep in dark place/shed tears/eye-blurred ", the keyword sample that extracts mapping then is " an eye and infectious conjunctivitis " and " eye and epidemic keratoconjunctivitis ".In this case, for reducing expending of retrieve resources as far as possible, improve recall precision, and make the result for retrieval user's request of more fitting, the embodiment of the invention also can may further comprise the steps before searching step:
Return a plurality of keywords of described coupling to the user, and to receive at least one keyword that the user selectes be the keyword of current retrieval usefulness.
Select keyword " eye and epidemic keratoconjunctivitis " as the user, then only retrieve according to this keyword.Certainly, when obtaining a plurality of keyword sample, also can not provide the user to select, and directly retrieve feasible equally according to these a plurality of keywords.
As can be seen, based on this and corresponding keyword composition of sample of class label, can be at the simple description of user to self health problem, extract more professional and accurately the keyword sample retrieve, and do not need the user repeatedly to retrieve the result that could obtain to want, also not needing the user to rack one's brains provides specialty, medical terminology description accurately the most, has effectively improved user's medical information recall precision, makes the user can obtain better experience.
For make the user browse result for retrieval as far as possible less, before returning result for retrieval, all right elder generation of the present invention is according to the authentication information of information truth degree, and/or the user sorts to the result for retrieval that finds at the good and bad feedback information of described information.For example, if certain bar information is to obtain, then may have higher level from the database of certain tame certified front three hospital; And certain bar information is never to obtain in the certified hospital database, then may have lower grade; When returning result for retrieval, then earlier the information of higher level is come the front, the information of lower grade is come the back.Or as, user's positive rating of certain bar information is higher, then sorts preceding; If positive rating is lower, then sort after.In practice can also be for each factor that sorts is provided with weight, to calculate the rank of every information, it all is feasible specifically adopting any sort algorithm of the prior art, the present invention does not limit this.
In specific implementation, described result for retrieval can also according to different dimensions organize and put in order after return to the client again, for example, all information for a certain classification, after a step semantic analysis, return to the user by five dimensions such as pathology, symptom description, therapeutic scheme, recommendation hospital/doctor, case informations.
With reference to figure 2, show the process flow diagram of the search method embodiment 2 of a kind of medical information of the present invention, specifically can may further comprise the steps:
Step 201, the input information of submitting to according to the user obtain the keyword of coupling from the keyword sample storehouse of presetting;
Wherein, described user has corresponding account hierarchy information, as advanced level user, domestic consumer; Perhaps, gold card user, silver card user, generic card user etc.
Step 202, the described keyword of foundation are retrieved in the medical information subdata base according to corresponding level label tissue;
Wherein, described medical information has the level distinguishing label corresponding with described account levels, described level distinguishing label can be according to the authentication information of information truth degree, and/or, the user distributes at the good and bad feedback information of described information, for example, if certain bar information is to obtain from the database of certain tame certified front three hospital, and positive rating is higher, then distributes senior level distinguishing label; If certain bar information is to obtain in the never certified hospital database, then distribute the common grade label.
Certainly, above-mentioned account hierarchy only is a kind of example with the corresponding one by one setting of level distinguishing label, and in practice, those skilled in the art also can be provided with the corresponding relation of a certain grade account and a plurality of grades of distinguishing labels, and the present invention does not limit this.
Step 203, the described user's of foundation account hierarchy returns corresponding result for retrieval.
Present embodiment can provide respective service for it at different account hierarchies, and making needs the user of special service can obtain more high-precision retrieval, and the effectiveness of information of acquisition is higher; Present embodiment also proposes a kind of feasible scheme of parallel Access Control simultaneously, for example, for advanced level user, can retrieve in the database that the senior rank label of correspondence is formed; For domestic consumer, can in the database that the common grade label of correspondence is formed, retrieve, thereby make multi-user's retrieval to walk abreast, to make full use of retrieve resources, improve recall precision.
What those skilled in the art were easy to expect is, the embodiment of the invention can also be retrieved in the medical information subdata base according to described class label and rank label tissue, and this instructions has not just described in detail one by one at this as space is limited.
Need to prove, for aforesaid each method embodiment, for simple description, so it all is expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not subjected to the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in the instructions all belongs to preferred embodiment, and related action and module might not be that the present invention is necessary.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, do not have the part that describes in detail among certain embodiment, can get final product referring to the associated description of other embodiment.
With reference to figure 3, show the structured flowchart of the searching system embodiment of a kind of medical information of the present invention, specifically can comprise:
Result for retrieval returns module 303, is used for returning result for retrieval to the user.
As another embodiment, the present invention can also comprise:
In a preferred embodiment of the present invention, described medical information has class label, and described keyword has the corresponding relation with described class label, and described retrieval module can comprise following submodule:
The classification matched sub-block is used for retrieving at the medical information subdata base according to corresponding class label tissue according to described keyword.
In another kind of preferred embodiment of the present invention,, described user has corresponding account hierarchy information, and described medical information has the level distinguishing label corresponding with described account levels, and described retrieval module can comprise following submodule:
The rank matched sub-block is used for retrieving according to the medical information subdata base of corresponding level label tissue according to described keyword;
In this case, described result for retrieval returns the result for retrieval that module also is used for returning according to described user's account hierarchy correspondence.
Preferably, the embodiment of the invention can also comprise order module, is used for the authentication information according to the information truth degree, and/or the user sorts to the result for retrieval that finds at the good and bad feedback information of described information.
For system embodiment, because it is similar substantially to method embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of system embodiment.
The present invention can describe in the general context of the computer executable instructions of being carried out by computing machine, for example program module.Usually, program module comprises the routine carrying out particular task or realize particular abstract, program, object, assembly, data structure or the like.Also can in distributed computing environment, put into practice the present invention, in these distributed computing environment, by by communication network connected teleprocessing equipment execute the task.In distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium that comprises memory device.
More than to a kind of physiological data monitoring system provided by the present invention and method, be described in detail, used specific case herein principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that all can change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. the search method of a medical information is characterized in that, comprising:
From the keyword sample storehouse of presetting, obtain the keyword of coupling according to the input information of user's submission;
Retrieve in the medical information data storehouse according to described keyword;
Return result for retrieval to the user.
2. the method for claim 1 is characterized in that, before the step that the foundation keyword is retrieved, also comprises:
Return a plurality of keywords of described coupling to the user, and to receive at least one keyword that the user selectes be the keyword of current retrieval usefulness.
3. the method for claim 1 is characterized in that, described medical information has class label, and described keyword has the corresponding relation with described class label, and the step of described retrieval comprises:
Retrieve in medical information subdata base according to described keyword according to corresponding class label tissue.
4. as claim 1 or 3 described methods, it is characterized in that described user has corresponding account hierarchy information, described medical information has the level distinguishing label corresponding with described account levels, and the step of described retrieval comprises:
Retrieve in medical information subdata base according to described keyword according to corresponding level label tissue;
The described step of returning result for retrieval comprises:
Account hierarchy according to described user returns corresponding result for retrieval.
5. the method for claim 1 is characterized in that, before returning the step of result for retrieval to the user, also comprises:
According to the authentication information of information truth degree, and/or the user sorts to the result for retrieval that finds at the good and bad feedback information of described information.
6. method as claimed in claim 3 is characterized in that, the class label of described medical information is to divide according to classification of diseases standard, illness position and/or symptom information.
7. the searching system of a medical information is characterized in that, comprising:
The keyword acquisition module is used for obtaining from the keyword sample storehouse of presetting according to the input information that the user submits to the keyword of coupling;
Retrieval module is used for retrieving in the medical information data storehouse according to described keyword;
Result for retrieval returns module, is used for returning result for retrieval to the user.
8. system as claimed in claim 7 is characterized in that, also comprises:
The keyword determination module is used for returning to the user a plurality of keywords of described coupling, and to receive at least one keyword that the user selectes be the keyword of current retrieval usefulness.
9. system as claimed in claim 7 is characterized in that described medical information has class label, and described keyword has the corresponding relation with described class label, and described retrieval module comprises:
The classification matched sub-block is used for retrieving at the medical information subdata base according to corresponding class label tissue according to described keyword.
10. as claim 7 or 8 described systems, it is characterized in that described user has corresponding account hierarchy information, described medical information has the level distinguishing label corresponding with described account levels, and described retrieval module comprises:
The rank matched sub-block is used for retrieving according to the medical information subdata base of corresponding level label tissue according to described keyword;
Described result for retrieval returns module and also is used for returning corresponding result for retrieval according to described user's account hierarchy.
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