CN103824222A - Insurance fraud behavior identification method and system based on multimedia acquisition terminal - Google Patents
Insurance fraud behavior identification method and system based on multimedia acquisition terminal Download PDFInfo
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- CN103824222A CN103824222A CN201310695048.4A CN201310695048A CN103824222A CN 103824222 A CN103824222 A CN 103824222A CN 201310695048 A CN201310695048 A CN 201310695048A CN 103824222 A CN103824222 A CN 103824222A
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Abstract
The invention discloses an insurance fraud behavior identification method and system based on a multimedia acquisition terminal, and belongs to the technical field of multimedia application. The method comprises: acquiring in real time different sickroom numbers and basic identification information of target objects of different bed numbers through a plurality of multimedia acquisition terminals; returning the basic identification information acquired by each multimedia acquisition terminal to a background server for storage; connecting the background server to an HIS, and obtaining the different sickroom numbers and standard identification information of the target objects of the different bed numbers; matching the different sickroom numbers and the basic identification information of the target objects of the different bed numbers respectively with the corresponding sickroom numbers and the standard identification information of the target objects of the corresponding bed numbers, and determining the insurance fraud indexes of the target objects according to a matching result; and performing class dividing according to the insurance fraud indexes of the target objects so as to identify insurance fraud behaviors. The method provided by the invention has the advantages of high security performance and wide applicability.
Description
Technical field
The invention belongs to multimedia application technical field, particularly a kind of insurance fraud behavior discrimination method and system based on multimedia collection terminal.
Background technology
Protect department statistics according to people, occur repeatedly for fraudulent claim, the insurance fraud case of insurance company, utilize the phenomenon of social security card insurance fraud, arbitrage more and more serious especially.By manufacturing, cape horn fever is gone through, false invoice, seemingly-deadly die, false disability, false confirmation of responsibility, false case part gain insurance company's indemnity by cheating, and borrow other people to carry out insurance fraud to hang the false mode of being in hospital of bed by social security card, or swipe the card and buy expensive medicine, then resell and occur repeatedly to other people phenomenon of arbitrage at a low price.Therefore, be badly in need of setting up strict monitoring means and oversight mechanism, solve current medical institutions ward spoilage problem and stop to abuse social security card and gnaw the phenomenon of biting medical insurance lifesaving money, supervise medical institutions to strengthen the supervision to insurance fraud behavior.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of insurance fraud behavior discrimination method and system thereof based on multimedia collection terminal.The method and system can realize by the basic identification information of destination object is mated insurance fraud behavior is differentiated with standard identification information.
For solving the problems of the technologies described above, according to one aspect of the present invention, a kind of insurance fraud behavior discrimination method based on multimedia collection terminal is provided, has comprised: by the basic identification information of the destination object on the different sick room numbers of several multimedia collection terminal timing acquiring and different bed item; Described basic identification information comprises video information, the image information of destination object; The described basic identification information that described in each, multimedia collection terminal gathers is back to background server to be stored; By described background server docking HIS system, obtain the standard identification information of destination object on different sick room numbers and different bed item; Described standard identification information comprises identity information, medical record information and the medication inventory of destination object; The basic identification information of the destination object on sick difference room number and different bed item is mated with the standard identification information of the destination object on corresponding sick room number and corresponding bed item respectively, determine the insurance fraud index of destination object according to matching result; And carry out the division of classification according to the insurance fraud index of described destination object, and then realize insurance fraud behavior is differentiated; The division of described classification comprises: be divided into insurance fraud blacklist classification, be divided into insurance fraud white list classification.
Further, the described basic identification information by the destination object on the different sick room numbers of several multimedia collection terminal timing acquiring and different bed item specifically comprises: in several multimedia collection terminals, pass through the external video frequency pick-up head of USB interface, and pour into the basic identification information of the destination object on the different sick room numbers of data acquisition module timing acquiring and the different bed item based on Android; Or, in several multimedia collection terminals, pass through its built-in video camera, and pour into the basic identification information of the destination object on the different sick room numbers of data acquisition module timing acquiring and the different bed item based on Android.
Further, the described described basic identification information that each multimedia collection terminal is gathered is back to background server and stores specifically and comprise: the basic identification information of described destination object is gathered, is quantized into digital signal; Described digital signal compressed encoding is become to video data, by the algorithm compressing in frame, described Video Data Storage is become to video file; Timing is back to described background server by described video file with the form of IP; Described background server is set up corresponding terminal archive database for multimedia collection terminal described in each, stores respectively the basic identification information of the destination object that multimedia collection terminal gathers described in each.
Further, described the basic identification information of the destination object on sick difference room number and different bed item is mated with the standard identification information of the destination object on corresponding sick room number and corresponding bed item respectively, the insurance fraud index of determining destination object according to matching result specifically comprises: by multimedia collection terminal described in each is bound with corresponding sick room number and bed item, set up the base map relation between multimedia collection terminal and ward, berth; By the standard identification information of destination object on each item under each item under each sick room number and this disease room number and this disease room number of obtaining and under this disease room number is bound, set up the standard mapping relation between the standard identification information of ward, berth and destination object from HIS system; Described base map relation is mated with described standard mapping relation, determine the insurance fraud index of destination object according to matching result.
Further, described base map relation is contrasted and mated with standard mapping relation, the insurance fraud index of determining destination object according to matching result specifically comprises: for the bed item under a certain sick room number and this disease room number, its corresponding base map relation is mated with corresponding standard mapping relation, if the identity information on the bed item under this disease room number and this disease room number in basic identification information and the standard identification information of corresponding destination object is inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 10 points from HIS system, and/or, for the bed item under a certain sick room number and this disease room number, according to its corresponding standard mapping relation, medical record information and medication inventory in the standard identification information of corresponding destination object on the bed item under this disease room number and this disease room number are contrasted, if described medication inventory and described medical record information are inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system, and/or, for the bed item under a certain sick room number and this disease room number, if do not collect for three days on end the basic identification information of destination object on the bed item under this disease room number and this disease room number, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system.
Further, the described division of according to matching result, the insurance fraud index of destination object being carried out to classification, and then realize insurance fraud behavior is differentiated specifically and comprised: the insurance fraud index according to destination object on the bed item under described this disease room number obtaining from HIS system and under this disease room number is set insurance fraud threshold value of warning; If the insurance fraud index of destination object is more than or equal to described insurance fraud threshold value of warning, described destination object is divided into insurance fraud blacklist classification; If the insurance fraud index of destination object is less than described insurance fraud threshold value of warning, described destination object is divided into insurance fraud white list classification.
According to another aspect of the present invention, a kind of insurance fraud behavior identification system based on multimedia collection terminal is provided, comprise: basic identification information acquisition module, is configured to by the basic identification information of the destination object on the different sick room numbers of several multimedia collection terminal timing acquiring and different bed item; Described basic identification information comprises video information, the image information of destination object; Basis identification information storage module, is configured to that the described basic identification information that described in each, multimedia collection terminal gathers is back to background server and stores; Standard identification information acquisition module, is configured to, by described background server docking HIS system, obtain the standard identification information of destination object on different sick room numbers and different bed item; Described standard identification information comprises identity information, medical record information and the medication inventory of destination object; Identification information matching module, be configured to the basic identification information of the destination object on sick difference room number and different bed item to mate with the standard identification information of the destination object on corresponding sick room number and corresponding bed item respectively, determine the insurance fraud index of destination object according to matching result; And category division module, be configured to carry out according to the insurance fraud index of described destination object the division of classification, and then realize insurance fraud behavior is differentiated; The division of described classification comprises: be divided into insurance fraud blacklist classification, be divided into insurance fraud white list classification.
Further, described basic identification information storage module comprises: signal conversion unit, is configured to the basic identification information of described destination object to gather, be quantized into digital signal; Signal compression unit, is configured to described digital signal compressed encoding to become video data, by the algorithm compressing in frame, described Video Data Storage is become to video file; Signal transmission unit, is configured to timing described video file is back to described background server with the form of IP; Signal memory cell, is configured to described background server and sets up corresponding terminal archive database for multimedia collection terminal described in each, stores respectively the basic identification information of the destination object that multimedia collection terminal gathers described in each.
Further, described identification information matching module comprises: base map relation is set up unit, be configured to, by multimedia collection terminal described in each is bound with corresponding sick room number and bed item, set up the base map relation between multimedia collection terminal and ward, berth; Standard mapping relation is set up unit, be configured to by the standard identification information of destination object on each item under each item under each sick room number and this disease room number and this disease room number of obtaining from HIS system and under this disease room number is bound, set up the standard mapping relation between the standard identification information of ward, berth and destination object; Insurance fraud index determining unit, is configured to described base map relation to mate with described standard mapping relation, determines the insurance fraud index of destination object according to matching result.
Further, described insurance fraud index determining unit comprises: first determines subelement, be configured to for the bed item under a certain sick room number and this disease room number, its corresponding base map relation is mated with corresponding standard mapping relation, if the identity information on the bed item under this disease room number and this disease room number in basic identification information and the standard identification information of corresponding destination object is inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 10 points from HIS system; And/or, second determines subelement, be configured to for the bed item under a certain sick room number and this disease room number, according to its corresponding standard mapping relation, medical record information and medication inventory in the standard identification information of corresponding destination object on the bed item under this disease room number and this disease room number are contrasted, if described medication inventory and described medical record information are inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system; And/or, the 3rd determines subelement, be configured to for the bed item under a certain sick room number and this disease room number, if do not collect for three days on end the basic identification information of destination object on the bed item under this disease room number and this disease room number, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system.
A kind of insurance fraud behavior discrimination method based on multimedia collection terminal provided by the invention, first by the basic identification information of the destination object on the different sick room numbers of several multimedia collection terminal timing acquiring and different bed item; Then the basic identification information each multimedia collection terminal being gathered is back to background server and stores; And background server is docked to HIS system, obtain the standard identification information of destination object on different sick room numbers and different bed item; And then the basic identification information of the destination object on sick difference room number and different bed item is mated with the standard identification information of the destination object on corresponding sick room number and corresponding bed item respectively, determine the insurance fraud index of destination object according to matching result; Finally carry out the division of classification according to the insurance fraud index of destination object, realize and insurance fraud behavior is differentiated to have the advantages that security performance is high, applicability is wide.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
The schematic flow sheet of the insurance fraud behavior discrimination method based on multimedia collection terminal that Fig. 1 provides for the embodiment of the present invention;
In the insurance fraud behavior discrimination method based on multimedia collection terminal that Fig. 2 provides for the embodiment of the present invention, basic identification information is back to the schematic flow sheet that background server is stored;
The schematic flow sheet in the insurance fraud behavior discrimination method based on multimedia collection terminal that Fig. 3 provides for the embodiment of the present invention, basic identification information being mated with standard identification information respectively;
The theory diagram of the insurance fraud behavior identification system based on multimedia collection terminal that Fig. 4 provides for the embodiment of the present invention;
The theory diagram of basic identification information storage module in the insurance fraud behavior identification system based on multimedia collection terminal that Fig. 5 provides for the embodiment of the present invention;
In the insurance fraud behavior identification system based on multimedia collection terminal that Fig. 6 provides for the embodiment of the present invention, identify the theory diagram of information matches module.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skills obtain, belongs to the scope of protection of the invention.
Along with the development of medical information, medical institutions have all built sickroom multimedia television system, utilize IP network technology and multimedia technology to provide the multimedia interaction service of modernization, hommization for patient, wherein, the terminal of multimedia television system has adopted Intelligent set top box or the intelligent television of Android operating system, these intelligent terminals are all with peripheral hardware expansion, can pass through the external video frequency pick-up head of USB interface, and then realization gathers image and the video of inpatient, the present invention is based on this principle, following embodiment be provided:
Refer to Fig. 1-3, a kind of insurance fraud behavior discrimination method based on multimedia collection terminal that the embodiment of the present invention provides, specifically comprises the steps:
Step 101: by the basic identification information of the destination object on the different sick room numbers of several multimedia collection terminal timing acquiring and different bed item; Described basic identification information comprises video information, the image information of destination object;
Step 102: the described basic identification information that described in each, multimedia collection terminal gathers is back to background server and stores;
Particularly, can be on some sickroom multimedia acquisition terminals of medical institutions extending video camera, preferably, can pass through the external video frequency pick-up head of USB interface, simultaneously also can be on acquisition terminal built-in camera, and then on acquisition terminal the insurance fraud control data acquisition module of perfusion based on Android, wherein control data acquisition module in order to control numerical digit camera, vision signal and the picture signal of the destination object under the different sick room numbers of timing acquiring and this disease room number on different bed items; Wherein, Information Monitoring on the corresponding sick bed label of each multimedia collection terminal, under the sick room number of the difference finally each multimedia collection terminal being gathered and this disease room number, on different bed items, the basic identification information (vision signal and picture signal) of destination object is back to background server and stores; This storing step specifically can comprise: the basic identification information of destination object is gathered, is quantized into digital signal 102a; Digital signal compressed encoding is become to video data, by the algorithm compressing in frame, described Video Data Storage is become to video file 102b; Timing is back to described background server 102c by video file with the form of IP; Background server is set up corresponding terminal archive database for each multimedia collection terminal, stores respectively the basic identification information 102d of the destination object that each multimedia collection terminal gathers.
It is to be noted, the version number of the version number of multimedia collection terminal automatically and on background server compares, each automatic down loading updating Version Control data acquisition module can save routine running log while starting software, and running log data return to background server in the mode of IP every day.
Step 103: by described background server docking HIS system, obtain the standard identification information of destination object on different sick room numbers and different bed item; Described standard identification information comprises identity information, medical record information and the medication inventory of destination object;
Particularly, background server is by HIS data-interface docking hospital HIS system, identity information, medical record information and the medication inventory of the destination object under the different sick room numbers of Real-time Obtaining and this disease room number on a different item;
Step 104: the basic identification information of the destination object on sick difference room number and different bed item is mated with the standard identification information of the destination object on corresponding sick room number and corresponding bed item respectively, determine the insurance fraud index of destination object according to matching result;
Wherein, this step 104 specifically comprises:
Step 104b: by the standard identification information of destination object on each item under each item under each sick room number and this disease room number and this disease room number of obtaining and under this disease room number is bound, set up the standard mapping relation between the standard identification information of ward, berth and destination object from HIS system; Because each destination object obtaining from HIS system has fixing sick room number, bed item (and berth order) corresponding with its standard identification information, so can realize ward, berth is associated with the standard identification information of destination object;
Particularly, background server receives vision signal and the picture signal of multimedia collection terminal collection passback, by graphical analysis and image recognition algorithm, according to berth order, sick room number and bed item analysis and identify video information and the image information of destination object, set up be in hospital video and the image data base of destination object.For example, background server collects the video file that terminal number is the multimedia collection terminal passback of STB001, choose the image frame of each frame by cyclic samples repeatedly, recognize the leave the bed video image of item of corresponding a certain sick room number according to ward berth order, and carry out image slice and generate berth picture CW01, CW02, CW03, CW04, again by the corresponding patient number of bed item under this disease room number, video image is associated with to corresponding patient BR01, BR02, BR03, on BR04, finally realize between base map relation and standard mapping relation and mating.
It may be noted that, determine that according to matching result the insurance fraud index of destination object can follow following matched rule: for the bed item under a certain sick room number and this disease room number, its corresponding base map relation is mated with corresponding standard mapping relation, if the identity information on the bed item under this disease room number and this disease room number in basic identification information and the standard identification information of corresponding destination object is inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 10 points from HIS system; For the bed item under a certain sick room number and this disease room number, according to its corresponding standard mapping relation, medical record information and medication inventory in the standard identification information of corresponding destination object on the bed item under this disease room number and this disease room number are contrasted, if described medication inventory and described medical record information are inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system; For the bed item under a certain sick room number and this disease room number, if do not collect for three days on end the basic identification information of destination object on the bed item under this disease room number and this disease room number, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system.
Step 105: carry out the division of classification according to the insurance fraud index of described destination object, and then realize insurance fraud behavior is differentiated; The division of described classification comprises: be divided into insurance fraud blacklist classification, be divided into insurance fraud white list classification.
Particularly, can set insurance fraud threshold value of warning according to the insurance fraud index of destination object on the bed item under described this disease room number obtaining and under this disease room number from HIS system; If the insurance fraud index of destination object is more than or equal to described insurance fraud threshold value of warning, described destination object is divided into insurance fraud blacklist classification; If the insurance fraud index of destination object is less than described insurance fraud threshold value of warning, described destination object is divided into insurance fraud white list classification.
The embodiment of the present invention can be applicable to carry out in extraneous social security sector, settlement of insurance claim system the monitoring of insurance fraud behavior, docks social security sector, settlement of insurance claim system respectively by background server by social security data-interface, insurance company's data-interface difference correspondence; Obtain on the one hand social security accounts information and the registration photo of destination object, corresponding by the standard identification information of social security accounts information and destination object, and be in hospital video and the image data base of associated objects object, inquire about for social security sector; Another aspect obtains the settlement of insurance claim accounts information of destination object, and registration photo, standard identification information by settlement of insurance claim accounts information and destination object is corresponding, and be in hospital video and the image data base of associated objects object, for society's settlement of insurance claim system queries; Final background server is according to the insurance fraud index of the determined destination object of matching result, generate insurance fraud early warning report, insurance fraud blacklist and insurance fraud white list according to insurance fraud threshold value of warning, and be uploaded to HIS system, social security sector and settlement of insurance claim system by Data synchronization interface, realize the monitoring of long-range insurance fraud behavior.
The embodiment of the present invention also provides a kind of insurance fraud behavior identification system based on multimedia collection terminal, refers to Fig. 4-6, and this system comprises:
Basis identification information acquisition module 201, is configured to by the basic identification information of the destination object on the different sick room numbers of several multimedia collection terminal timing acquiring and different bed item; Described basic identification information comprises video information, the image information of destination object;
Basis identification information storage module 202, is configured to that the described basic identification information that described in each, multimedia collection terminal gathers is back to background server and stores;
Standard identification information acquisition module 203, is configured to, by described background server docking HIS system, obtain the standard identification information of destination object on different sick room numbers and different bed item; Described standard identification information comprises identity information, medical record information and the medication inventory of destination object;
Identification information matching module 204, be configured to the basic identification information of the destination object on sick difference room number and different bed item to mate with the standard identification information of the destination object on corresponding sick room number and corresponding bed item respectively, determine the insurance fraud index of destination object according to matching result; And
Category division module 205, is configured to carry out according to the insurance fraud index of described destination object the division of classification, and then realizes insurance fraud behavior is differentiated; The division of described classification comprises: be divided into insurance fraud blacklist classification, be divided into insurance fraud white list classification.
Wherein, basic identification information storage module 202 can comprise: signal conversion unit 202a, is configured to the basic identification information of described destination object to gather, be quantized into digital signal; Signal compression unit 202b, is configured to described digital signal compressed encoding to become video data, by the algorithm compressing in frame, described Video Data Storage is become to video file; Signal transmission unit 202c, is configured to timing described video file is back to described background server with the form of IP; Signal memory cell 202d, is configured to described background server and sets up corresponding terminal archive database for multimedia collection terminal described in each, stores respectively the basic identification information of the destination object that multimedia collection terminal gathers described in each.
Simultaneously, identification information matching module 204 can comprise: base map relation is set up unit 204a, be configured to, by multimedia collection terminal described in each is bound with corresponding sick room number and bed item, set up the base map relation between multimedia collection terminal and ward, berth; Standard mapping relation is set up unit 204b, be configured to by the standard identification information of destination object on each item under each item under each sick room number and this disease room number and this disease room number of obtaining from HIS system and under this disease room number is bound, set up the standard mapping relation between the standard identification information of ward, berth and destination object; Insurance fraud index determining unit 204c, is configured to described base map relation to mate with described standard mapping relation, determines the insurance fraud index of destination object according to matching result.
Finally, insurance fraud index determining unit 204c comprises: first determines subelement, be configured to for the bed item under a certain sick room number and this disease room number, its corresponding base map relation is mated with corresponding standard mapping relation, if the identity information on the bed item under this disease room number and this disease room number in basic identification information and the standard identification information of corresponding destination object is inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 10 points from HIS system; Second determines subelement, be configured to for the bed item under a certain sick room number and this disease room number, according to its corresponding standard mapping relation, medical record information and medication inventory in the standard identification information of corresponding destination object on the bed item under this disease room number and this disease room number are contrasted, if described medication inventory and described medical record information are inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system; The 3rd determines subelement, be configured to for the bed item under a certain sick room number and this disease room number, if do not collect for three days on end the basic identification information of destination object on the bed item under this disease room number and this disease room number, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system.
It is to be noted, because a kind of embodiment of the insurance fraud behavior identification system based on multimedia collection terminal is corresponding with a kind of embodiment of the insurance fraud behavior discrimination method based on multimedia collection terminal, therefore, part is not described in detail in detail in system embodiment can, referring to the introduction in embodiment of the method, be repeated no more here.
The algorithm providing at this is intrinsic not relevant to any certain computer, virtual system or miscellaneous equipment with demonstration.Various general-purpose systems also can with based on using together with this teaching.According to description above, it is apparent constructing the desired structure of this type systematic.In addition, the present invention is not also for any certain programmed language.It should be understood that and can utilize various programming languages to realize content of the present invention described here, and the description of above language-specific being done is in order to disclose preferred forms of the present invention.
In the instructions that provided herein, a large amount of details are described.But, can understand, embodiments of the invention can be put into practice in the situation that there is no these details.In some instances, be not shown specifically known method, structure and technology, so that not fuzzy understanding of this description.
Similarly, be to be understood that, in order to simplify the disclosure and to help to understand one or more in each inventive aspect, in the above in the description of exemplary embodiment of the present invention, each feature of the present invention is grouped together into single embodiment, figure or sometimes in its description.But, the method for the disclosure should be construed to the following intention of reflection: the present invention for required protection requires than the more feature of feature of clearly recording in each claim.Or rather, as reflected in claims, inventive aspect is to be less than all features of disclosed single embodiment above.Therefore, claims of following embodiment are incorporated to this embodiment thus clearly, and wherein each claim itself is as independent embodiment of the present invention.
Those skilled in the art are appreciated that and can the module in the equipment in embodiment are adaptively changed and they are arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and can put them in addition multiple submodules or subelement or sub-component.At least some in such feature and/or process or unit are mutually repelling, and can adopt any combination to combine all processes or the unit of disclosed all features in this instructions (comprising claim, summary and the accompanying drawing followed) and disclosed any method like this or equipment.Unless clearly statement in addition, in this instructions (comprising claim, summary and the accompanying drawing followed) disclosed each feature can be by providing identical, be equal to or the alternative features of similar object replaces.
In addition, those skilled in the art can understand, although embodiment more described herein comprise some feature rather than further feature included in other embodiment, the combination of the feature of different embodiment means within scope of the present invention and forms different embodiment.For example, in the following claims, the one of any of embodiment required for protection can be used with array mode arbitrarily.
All parts embodiment of the present invention can realize with hardware, or realizes with the software module of moving on one or more processor, or realizes with their combination.It will be understood by those of skill in the art that and can use in practice microprocessor or digital signal processor (DSP) to realize according to the some or all functions of the some or all parts in a kind of insurance fraud behavior discrimination method and system thereof based on multimedia collection terminal of the embodiment of the present invention.The present invention can also be embodied as part or all equipment or the device program (for example, computer program and computer program) for carrying out method as described herein.Realizing program of the present invention and can be stored on computer-readable medium like this, or can there is the form of one or more signal.Such signal can be downloaded and obtain from internet website, or provides on carrier signal, or provides with any other form.
It should be noted above-described embodiment the present invention will be described rather than limit the invention, and those skilled in the art can design alternative embodiment in the case of not departing from the scope of claims.In the claims, any reference symbol between bracket should be configured to limitations on claims.Word " comprises " not to be got rid of existence and is not listed as element or step in the claims.Being positioned at word " " before element or " one " does not get rid of and has multiple such elements.The present invention can be by means of including the hardware of some different elements and realizing by means of the computing machine of suitably programming.In the unit claim of having enumerated some devices, several in these devices can be to carry out imbody by same hardware branch.The use of word first, second and C grade does not represent any order.Can be title by these word explanations.
It should be noted last that, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although the present invention is had been described in detail with reference to example, those of ordinary skill in the art is to be understood that, can modify or be equal to replacement technical scheme of the present invention, and not departing from the spirit and scope of technical solution of the present invention, it all should be encompassed in the middle of claim scope of the present invention.
Claims (10)
1. the insurance fraud behavior discrimination method based on multimedia collection terminal, is characterized in that, comprising:
By the basic identification information of the destination object on the different sick room numbers of several multimedia collection terminal timing acquiring and different bed item; Described basic identification information comprises video information, the image information of destination object;
The described basic identification information that described in each, multimedia collection terminal gathers is back to background server to be stored;
By described background server docking HIS system, obtain the standard identification information of destination object on different sick room numbers and different bed item; Described standard identification information comprises identity information, medical record information and the medication inventory of destination object;
The basic identification information of the destination object on sick difference room number and different bed item is mated with the standard identification information of the destination object on corresponding sick room number and corresponding bed item respectively, determine the insurance fraud index of destination object according to matching result; And
Carry out the division of classification according to the insurance fraud index of described destination object, and then realize insurance fraud behavior is differentiated; The division of described classification comprises: be divided into insurance fraud blacklist classification, be divided into insurance fraud white list classification.
2. method according to claim 1, is characterized in that, the step of the described basic identification information by the destination object on the different sick room numbers of several multimedia collection terminal timing acquiring and different bed item specifically comprises:
In several multimedia collection terminals, pass through the external video frequency pick-up head of USB interface, and pour into the basic identification information of the destination object on the different sick room numbers of data acquisition module timing acquiring and the different bed item based on Android;
Or,
In several multimedia collection terminals, pass through its built-in video camera, and pour into the basic identification information of the destination object on the different sick room numbers of data acquisition module timing acquiring and the different bed item based on Android.
3. method according to claim 1, is characterized in that, the described described basic identification information that each multimedia collection terminal is gathered is back to the step that background server stores and specifically comprises:
The basic identification information of described destination object is gathered, is quantized into digital signal;
Described digital signal compressed encoding is become to video data, by the algorithm compressing in frame, described Video Data Storage is become to video file;
Timing is back to described background server by described video file with the form of IP;
Described background server is set up corresponding terminal archive database for multimedia collection terminal described in each, stores respectively the basic identification information of the destination object that multimedia collection terminal gathers described in each.
4. method according to claim 1, it is characterized in that, described the basic identification information of the destination object on sick difference room number and different bed item is mated with the standard identification information of the destination object on corresponding sick room number and corresponding bed item respectively, determines that according to matching result the insurance fraud index of destination object specifically comprises:
Multimedia collection terminal described in each is bound with corresponding sick room number and bed item, set up the base map relation between multimedia collection terminal and ward, berth;
The standard identification information of destination object on each item under each item under each sick room number and this disease room number and this disease room number of obtaining from HIS system and under this disease room number is bound, set up the standard mapping relation between the standard identification information of ward, berth and destination object;
Described base map relation is mated with described standard mapping relation, determine the insurance fraud index of destination object according to matching result.
5. method according to claim 4, is characterized in that, described base map relation is contrasted and mated with standard mapping relation, determines that the step of the insurance fraud index of destination object specifically comprises according to matching result:
For the bed item under a certain sick room number and this disease room number, its corresponding base map relation is mated with corresponding standard mapping relation, if the identity information on the bed item under this disease room number and this disease room number in basic identification information and the standard identification information of corresponding destination object is inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 10 points from HIS system;
And/or,
For the bed item under a certain sick room number and this disease room number, according to its corresponding standard mapping relation, medical record information and medication inventory in the standard identification information of corresponding destination object on the bed item under this disease room number and this disease room number are contrasted, if described medication inventory and described medical record information are inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system;
And/or,
For the bed item under a certain sick room number and this disease room number, if do not collect for three days on end the basic identification information of destination object on the bed item under this disease room number and this disease room number, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system.
6. method according to claim 5, is characterized in that, the described division of according to matching result, the insurance fraud index of destination object being carried out to classification, and then realize insurance fraud behavior is differentiated specifically and comprised:
Insurance fraud index according to destination object on the bed item under described this disease room number obtaining from HIS system and under this disease room number is set insurance fraud threshold value of warning;
If the insurance fraud index of destination object is more than or equal to described insurance fraud threshold value of warning, described destination object is divided into insurance fraud blacklist classification;
If the insurance fraud index of destination object is less than described insurance fraud threshold value of warning, described destination object is divided into insurance fraud white list classification.
7. the insurance fraud behavior identification system based on multimedia collection terminal, is characterized in that, comprising:
Basis identification information acquisition module, is configured to by the basic identification information of the destination object on the different sick room numbers of several multimedia collection terminal timing acquiring and different bed item; Described basic identification information comprises video information, the image information of destination object;
Basis identification information storage module, is configured to that the described basic identification information that described in each, multimedia collection terminal gathers is back to background server and stores;
Standard identification information acquisition module, is configured to, by described background server docking HIS system, obtain the standard identification information of destination object on different sick room numbers and different bed item; Described standard identification information comprises identity information, medical record information and the medication inventory of destination object;
Identification information matching module, be configured to the basic identification information of the destination object on sick difference room number and different bed item to mate with the standard identification information of the destination object on corresponding sick room number and corresponding bed item respectively, determine the insurance fraud index of destination object according to matching result; And
Category division module, is configured to carry out according to the insurance fraud index of described destination object the division of classification, and then realizes insurance fraud behavior is differentiated; The division of described classification comprises: be divided into insurance fraud blacklist classification, be divided into insurance fraud white list classification.
8. system according to claim 7, is characterized in that, described basic identification information storage module comprises:
Signal conversion unit, is configured to the basic identification information of described destination object to gather, be quantized into digital signal;
Signal compression unit, is configured to described digital signal compressed encoding to become video data, by the algorithm compressing in frame, described Video Data Storage is become to video file;
Signal transmission unit, is configured to timing described video file is back to described background server with the form of IP;
Signal memory cell, is configured to described background server and sets up corresponding terminal archive database for multimedia collection terminal described in each, stores respectively the basic identification information of the destination object that multimedia collection terminal gathers described in each.
9. system according to claim 7, is characterized in that, described identification information matching module comprises:
Base map relation is set up unit, is configured to, by multimedia collection terminal described in each is bound with corresponding sick room number and bed item, set up the base map relation between multimedia collection terminal and ward, berth;
Standard mapping relation is set up unit, be configured to by the standard identification information of destination object on each item under each item under each sick room number and this disease room number and this disease room number of obtaining from HIS system and under this disease room number is bound, set up the standard mapping relation between the standard identification information of ward, berth and destination object;
Insurance fraud index determining unit, is configured to described base map relation to mate with described standard mapping relation, determines the insurance fraud index of destination object according to matching result.
10. system according to claim 7, is characterized in that, described insurance fraud index determining unit comprises:
First determines subelement, be configured to for the bed item under a certain sick room number and this disease room number, its corresponding base map relation is mated with corresponding standard mapping relation, if the identity information on the bed item under this disease room number and this disease room number in basic identification information and the standard identification information of corresponding destination object is inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 10 points from HIS system;
And/or,
Second determines subelement, be configured to for the bed item under a certain sick room number and this disease room number, according to its corresponding standard mapping relation, medical record information and medication inventory in the standard identification information of corresponding destination object on the bed item under this disease room number and this disease room number are contrasted, if described medication inventory and described medical record information are inconsistent, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system;
And/or,
The 3rd determines subelement, be configured to for the bed item under a certain sick room number and this disease room number, if do not collect for three days on end the basic identification information of destination object on the bed item under this disease room number and this disease room number, the insurance fraud index of destination object on the bed item under this disease room number obtaining and under this disease room number is added to 5 points from HIS system.
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