CN108805729A - A kind of exception medical treatment track judgment method and device - Google Patents
A kind of exception medical treatment track judgment method and device Download PDFInfo
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- CN108805729A CN108805729A CN201810614309.8A CN201810614309A CN108805729A CN 108805729 A CN108805729 A CN 108805729A CN 201810614309 A CN201810614309 A CN 201810614309A CN 108805729 A CN108805729 A CN 108805729A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
Abstract
A kind of abnormal medical treatment track judgment method of proposition of the embodiment of the present invention and device, are related to field of medical technology.By the multiple medical data informations for obtaining patient, then coordinate information of going to a doctor is obtained according to location information of going to a doctor, finally medical coordinate information is handled by preset model algorithm, to judge in multiple medical data informations with the presence or absence of abnormal medical treatment track data information.Exception medical treatment track judgment method provided by the invention has the advantages that efficient, practical and accurate with device.
Description
Technical field
The present invention relates to field of medical technology, in particular to a kind of abnormal medical treatment track judgment method and device.
Background technology
Medical field is always the field that people pay close attention to, and since national medical insurance policies are implemented, has realized people
It sees a doctor and easily just looks at the cheaper effect of disease.Also, it is seen a doctor at present for convenience of people, the quantity of hospital of China is also constantly increasing
In.
But since implementing with medical insurance policies, also there is the behavior of many insurance frauds, that is, forges reimbursement record, or suffer from
The medical insurance card of oneself is lent other people without authorization and used by person, and relevant audit crew may not also have due to reimbursement number is numerous etc.
It is found this behavior.
It is the emphasis of those skilled in the art's concern in view of this, how to improve the above problem.
Invention content
In view of this, the purpose of the present invention is to provide a kind of abnormal medical treatment track judgment methods, to solve the prior art
It is middle to there are problems that the medical insurance card of oneself is lent other people privately and used by forgery reimbursement record, patient.
Another object of the present invention is to provide a kind of abnormal medical treatment track judgment methods, to solve to exist in the prior art
Forge reimbursement record, the medical insurance card of oneself is lent the problem of other people use by patient privately.
To achieve the goals above, technical solution used in the embodiment of the present invention is as follows：
On the one hand, the embodiment of the present invention proposes a kind of abnormal medical treatment track judgment method, and the exception medical treatment track is sentenced
Disconnected method includes：
Obtain multiple medical data informations of a patient, wherein the medical data information includes medical location information；
Medical coordinate information corresponding with the medical location information is obtained according to the medical location information；
The medical coordinate information is handled by preset model algorithm, to judge the multiple medical data information
In with the presence or absence of abnormal medical treatment track data information.
On the other hand, the embodiment of the present invention additionally provides a kind of abnormal medical treatment track judgment means, the exception medical treatment rail
Mark judgment means include：
Information acquisition unit, multiple medical data informations for obtaining a patient, wherein the medical data packets
Include medical location information；
Information acquisition unit is additionally operable to obtain according to the medical location information corresponding just with the medical location information
Examine coordinate information；
Information process unit, for being handled by preset model algorithm the medical coordinate information, to judge
It states in multiple medical data informations with the presence or absence of abnormal medical treatment track data information.
Compared with the prior art, the invention has the advantages that：
The present invention provides a kind of abnormal medical treatment track judgment method and devices, by the multiple medical data for obtaining patient
Then information obtains coordinate information of going to a doctor according to location information of going to a doctor, finally press preset model algorithm to medical coordinate information
It is handled, to judge in multiple medical data informations with the presence or absence of abnormal medical treatment track data information.On the one hand, due to
The exception medical treatment track judgment method can judge abnormal medical treatment track data information with device, due to seeing a doctor when in the presence of abnormal
When track, that is, it is abnormal to indicate that this medical data of patient exist, and then audit crew can be facilitated to be examined, effectively find out
It is more efficiently and practical in the presence of forging reimbursement record or there are patients by medical insurance card lends the information that other people use privately.It is another
Aspect, due to multiple data that the data of the exception medical treatment track judgment method and device acquisition are each patient, so data
Abundance, processing are more accurate.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment cited below particularly, and coordinate
Appended attached drawing, is described in detail below.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 shows the high-level schematic functional block diagram for the server that the embodiment of the present invention provides.
Fig. 2 shows the flow charts for the abnormal medical treatment track judgment method that the embodiment of the present invention provides.
Fig. 3 shows the flow chart of the sub-step of step S105 in Fig. 2.
Fig. 4 shows the flow chart of the sub-step of sub-step S1053 in Fig. 3.
Fig. 5 shows the module diagram of the homogeneity crowd's screening plant for applying example offer of the present invention.
Fig. 6 shows the module diagram of the information process unit for applying example offer of the present invention.
Icon：10- servers；12- memories；13- storage controls；14- processors；100- homogeneity crowds screen dress
It sets；110- information acquisition units；120- judging units；130- information culling units；140- information process units；141- information is excellent
Change module；142- information determination modules；143- judgment modules；144- range determination modules；150- information association units；160- is pushed away
Send unit.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Below in conjunction with attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Usually exist
The component of the embodiment of the present invention described and illustrated in attached drawing can be arranged and be designed with a variety of different configurations herein.Cause
This, the detailed description of the embodiment of the present invention to providing in the accompanying drawings is not intended to limit claimed invention below
Range, but it is merely representative of the selected embodiment of the present invention.Based on the embodiment of the present invention, those skilled in the art are not doing
The every other embodiment obtained under the premise of going out creative work, shall fall within the protection scope of the present invention.
It should be noted that：Similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent attached drawing in a attached drawing.Meanwhile the present invention's
In description, it is also necessary to which explanation is unless specifically defined or limited otherwise, term " connected ", " connection " shall be understood in a broad sense,
It for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can be mechanical connection, can also be electricity
Connection；It can be directly connected, can also can be indirectly connected through an intermediary the connection inside two elements.For
For those skilled in the art, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.It ties below
Attached drawing is closed, is elaborated to some embodiments of the present invention.In the absence of conflict, following embodiment and embodiment
In feature can be combined with each other.
As shown in Figure 1, being the high-level schematic functional block diagram of server 10 provided by the invention.The server 10 includes such as Fig. 1
It is shown, it is the high-level schematic functional block diagram of server 10 provided by the invention.The server 10 includes that abnormal medical treatment track judges dress
It sets, memory 12, storage control 13 and processor 14.
The memory 12, storage control 13 and 14 each element of processor directly or indirectly electrically connect between each other
It connects, to realize the transmission or interaction of data.For example, these elements can pass through one or more communication bus or signal between each other
Line, which is realized, to be electrically connected.Exception medical treatment track judgment means include it is at least one can be with software or firmware (firmware)
Form is stored in the memory 12 or is solidificated in the operating system (operating system, OS) of the server 10
Software function module.The processor 14 is used to execute the executable module stored in memory 12, such as the exception is just
The software function module or computer program that doctor's track judgment means include.
Wherein, memory 12 may be, but not limited to, random access memory 12 (Random Access Memory,
RAM), read-only memory 12 (Read Only Memory, ROM), (the Programmable Read- of programmable read only memory 12
Only Memory, PROM), erasable read-only memory 12 (Erasable Programmable Read-Only Memory,
EPROM), electricallyerasable ROM (EEROM) 12 (Electric Erasable Programmable Read-Only Memory,
EEPROM) etc..Wherein, memory 12 is for storing program, and the processor 14 executes the journey after receiving and executing instruction
Sequence, the method performed by server 10 that the stream process that aforementioned any embodiment of the embodiment of the present invention discloses defines can be applied to
In processor 14, or realized by processor 14.
Processor 14 may be a kind of IC chip, the processing capacity with signal.Above-mentioned processor 14 can be with
It is general processor 14, including central processing unit 14 (Central Processing Unit, abbreviation CPU), network processing unit 14
(Network Processor, abbreviation NP) etc.；It can also be digital signal processor 14 (DSP), application-specific integrated circuit
(ASIC), ready-made programmable gate array (FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components.It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present invention.It is general
Processor 14 can be microprocessor 14 or the processor 14 can also be any conventional processor 14 etc..
Referring to Fig. 2, be present pre-ferred embodiments provide be applied to abnormal medical treatment track judgment method shown in FIG. 1
Flow chart.Detailed process shown in Fig. 2 will be described in detail below.
Step S101 obtains multiple medical data informations of a patient, wherein the medical data information includes medical position
Confidence ceases.
In the present embodiment, since the general medical treatment place of patient (i.e. medical location information) has certain rule, that is, exist
In certain range, and medical insurance card is lent other people in use, place of then seeing a doctor generally will appear when there is insurance fraud or patient
Abnormal conditions can judge that this patient whether there is insurance fraud or lend medical insurance card according to whether the medical treatment place of patient is unusual
The case where other people use.For example, the usual medical treatment place of a patient is Chengdu southern areas, and occurs the name at present
The case where patient goes to northern territory to treat, therefore, then this medical behavior can regard abnormal behaviour as, it is understood that there may be patient's insurance fraud
Situation.
Therefore, in order to find out abnormal medical treatment track, that is, the abnormal medical treatment place of patient is found out, need to obtain a patient's first
Multiple medical data informations, such as all medical data informations in nearly 1 year of patient are obtained, also, the medical data packets
Include medical position letter and medical expenditure information etc..
Step S102 obtains medical coordinate letter corresponding with the medical location information according to the medical location information
Breath.
Since in practical applications, patient can not be directly acquired whether in abnormal medical treatment track by location information, and
And since each position is provided with coordinate, in the present embodiment, server 10 can utilize the medical location information to determine just
Coordinate information is examined, then medical coordinate information is handled.
Step S103, judge any one medical expenditure information in multiple medical data informations whether less than it is preset just
Cost information is examined, if so, thening follow the steps S104.
In the present embodiment, since the data of the medical data information of patient are more, it may appear that some unnecessary data,
So in order to keep result more accurate, in the present embodiment, need to carry out denoising to the medical data information of patient.
Specifically, since in practical applications, medical data information includes medical expenditure information, due to general patient's insurance fraud
Medical insurance card can be lent other people in use, cost information may be higher, so for the lower data information of part expense,
Its actual reference value is simultaneously little, and can also occupy process resource, and therefore, the present embodiment can judge multiple medical data letter
Whether any one medical expenditure information in breath is less than preset medical expenditure information.
Step S104 rejects the medical data information less than the preset medical expenditure information.
When whether any one medical expenditure information in multiple medical data informations is less than preset medical expenditure information
When, it should be less than the medical data information intrinsic value of the preset medical expenditure information and little, therefore in the present embodiment
The medical data information in this part can directly be rejected.Such as preset medical expenditure information is set as 100, when medical expenditure information
When less than 100 yuan, the Zhejiang medical expenditure confidence is rejected.
Step S105 is handled the medical coordinate information by preset model algorithm, with judge it is the multiple just
It examines in data information with the presence or absence of abnormal medical treatment track data information.
After carrying out to data except making an uproar, medical data information need to be handled by preset model algorithm, to judge
In multiple medical data informations of patient, if there are abnormal medical treatment track data information.
Specifically, in the present embodiment, step S105 includes：
Sub-step S1051 optimizes processing to the medical coordinate information by K-means clustering algorithms.
K-means algorithms are a kind of hard clustering algorithms, are the representative of the typically object function clustering method based on prototype,
It is certain object function of distance as an optimization of data point to prototype, and interative computation is obtained using the method that function seeks extreme value
Adjustment rule.For K-means algorithms using Euclidean distance as similarity measure, it is to seek corresponding a certain initial cluster center vector
V optimal classifications so that evaluation index J is minimum.Algorithm is using error sum of squares criterion function as clustering criteria function.Pass through K-
Means clustering algorithms can optimize processing to multiple medical data informations of patient, consequently facilitating the follow-up operation really put.
Sub-step S1052 carries out true point to the medical coordinate information after optimization processing by Graph nomographys, to determine the
One coordinate information and the second coordinate information.
After being optimized to data, you can carry out true point by Graph nomographys, Graph nomographys are a kind of utilizations
Special lines nomogram acquires a kind of simple algorithm of answer.Non-directed graph, digraph and network can use many common graphic calculations
Method, these algorithms include：Various ergodic algorithms (these traversals are similar to traversal of tree), find the algorithm of shortest path, find
The algorithm of lowest-cost paths in network, answering some simple correlation problems, (for example, whether figure is to be connected to, two are pushed up in figure
What, etc. shortest path between point be) algorithm.Nomography may be used on a variety of occasions, such as：Optimize pipeline, routing table,
Courier Service, communications network station etc..The first of the user medical region most often gone can be determined by carrying out really point by Graph nomographys
Center, i.e. the first coordinate information.And it can also determine the center in the medical region that the second of user most often goes, i.e., second sits
Mark information.
It should be noted that since each patient is when treating, meeting hospital preferably nearest from oneself goes to a doctor,
Therefore, in the present embodiment, location information when patient repeatedly goes to a doctor can be analyzed and judge two regions that patient most often goes.And
And the coordinate information for the family that the first coordinate information provided in this embodiment is patient；Second coordinate information is the company of patient
Coordinate information, of course, in some other embodiments, the first coordinate information and the second coordinate information are also other places
Coordinate information, the present embodiment do not do this any restriction.
Sub-step S1053, judges whether each medical data information is respectively positioned on first coordinate information or described
In the preset range of second coordinate information, if it is not, then executing sub-step S1057.
After the first coordinate information and the second coordinate information is determined, that is, the position range that two users often go is determined,
Further, server 10 can also judge whether the medical location information of the medical data information of each of the user is in successively
In the preset range of first coordinate information or the second coordinate information, if it is, indicating that the medical data information of patient is normal；Such as
Fruit is no, then it represents that abnormal medical treatment situation occurs in patient, and the behavior of insurance fraud may be present.
Specifically, sub-step S1053 includes：
Sub-step S1054, using first coordinate information as the center of circle, the first preset value is that radius determines the first default model
It encloses.
Since in real life, movement locus when patient is in neighbouring is generally spread along the position of family around,
So in the present embodiment, using the first coordinate information as the center of circle, the first preset value is that radius work is justified, true with the range residing for the circle
Fixed first preset range, i.e. patient are in neighbouring scope of activities.For example, the first preset value can indicate patient with 10 kilometers
Generally go the range of 10 kilometers of the circumference ranging from centered on family of hospital admission.
Sub-step S1055, using second coordinate information as the center of circle, the second preset value is that radius determines the second default model
It encloses.
Sub-step S1056, judges whether each medical data information is respectively positioned on first preset range or second
In preset range.
In the present embodiment, judge whether each medical data information is respectively positioned on first coordinate information or described
I.e. by judging it is default whether each medical data information is respectively positioned on described first in the preset range of second coordinate information
Mode in range or the second preset range is realized.
Sub-step S1057, determination are not located in the preset range of first coordinate information or second coordinate information
Medical data information be abnormal medical treatment track data information.
When medical data information is not located in the preset range of first coordinate information or second coordinate information,
It is unusual to mean that this medical data information of patient exists, in fact it could happen that the possibility of patient's insurance fraud will be not located at institute successively
It is abnormal medical treatment track data to state the medical data information in the preset range of the first coordinate information or second coordinate information
Information, and examined with audit crew.
Step S106, according to the consultation time information and/or the medical location information to multiple abnormal medical treatment tracks
Data information is associated.
When medical data information occurs abnormal, in fact it could happen that the case where to a medical data exception, go out due to working as patient
When the case where existing insurance fraud, in fact it could happen that patient carries out insurance fraud together with doctor, it is also possible to the feelings of multiple patients insurance fraud simultaneously occur
There is the case where clique's insurance fraud in condition, therefore, in the present embodiment, when there is abnormal medical treatment rail in the medical data information
When mark data information, server 10 can also be according to the consultation time information and/or the medical location information to multiple exceptions
Medical treatment track data information is associated.
Specifically, in the present embodiment, association refers to the relevance found out between multiple abnormal medical data informations, example
Such as, when the medical location information all same in the medical data information of multiple appearance of patient exception, i.e., patient is different in appearance
It often repeatedly goes to a doctor in a hospital when medical data information, is then likely to occur this patient and shares progress with doctor in hospital
Insurance fraud；Or when multiple patients are in the same time, there is exception, then can determine whether out multiple in the medical data information in same place
Patient may be insurance fraud clique.
Step S107 pushes multiple abnormal medical treatment track data information after association.
After being associated, server 10 can push multiple abnormal medical treatment track data information, to make to examine
The personnel of looking into can read related data, and audit crew is facilitated to be examined.
Second embodiment
Referring to Fig. 5, the functional unit of abnormal medical treatment track shown in FIG. 1 judgment means provided in an embodiment of the present invention shows
It is intended to.It should be noted that the technology of the abnormal medical treatment track judgment means that the present embodiment is provided, basic principle and generation
Effect is identical with above-described embodiment, and to briefly describe, part of the embodiment of the present invention does not refer to place, can refer to the above embodiments
Middle corresponding contents.Abnormal medical treatment track judgment means include：
Information acquisition unit 110, multiple medical data informations for obtaining a patient, wherein the medical data letter
Breath includes medical location information.
It should be understood that can perform step S101 by information acquisition unit 110.
Information acquisition unit 110 is additionally operable to obtain according to the medical location information corresponding with the medical location information
Medical coordinate information.
It should be understood that can perform step S102 by information acquisition unit 110.
Whether judging unit 120, any one medical expenditure information for judging in multiple medical data informations are less than
Preset medical expenditure information.
It should be understood that can perform step S103 by judging unit 120.
Information culling unit 130, for rejecting the medical data information less than the preset medical expenditure information.
It should be understood that can perform step S104 by information culling unit 130.
Information process unit 140, for being handled by preset model algorithm the medical coordinate information, to judge
With the presence or absence of abnormal medical treatment track data information in the multiple medical data information.
It should be understood that can perform step S105 by information process unit 140.
Wherein, information process unit 140 includes：
Advance data quality module 141, for optimizing processing by K-means clustering algorithms to the medical coordinate information.
It should be understood that can perform sub-step S1051 by Advance data quality module 141.
Information determination module 142, for carrying out true point by Graph nomographys to the medical coordinate information after optimization processing,
To determine the first coordinate information and the second coordinate information.
It should be understood that can perform sub-step S1052 by information determination module 142.
Judgment module 143, for judge each medical data information whether be respectively positioned on first coordinate information or
In the preset range of second coordinate information.
It should be understood that can perform sub-step S1053 by judgment module 143.
Wherein, referring to Fig. 6, judgment module 143 includes：
Range determination module 144, for using first coordinate information as the center of circle, the first preset value to be that radius determines first
Preset range.
It should be understood that can perform sub-step S1054 by range determination module 144.
Range determination module 144 is additionally operable to using second coordinate information as the center of circle, and the second preset value is that radius determines the
Two preset ranges.
It should be understood that can perform sub-step S1055 by range determination module 144.
Judgment module 143, for judge each medical data information whether be respectively positioned on first preset range or
In second preset range.
It should be understood that can perform sub-step S1056 by judgment module 143.
Information determination module 142 is not located at the pre- of first coordinate information or second coordinate information for determining
If the medical data information in range is abnormal medical treatment track data information.
It should be understood that can perform sub-step S1057 by information determination module 142.
Information association unit 150 is used for according to the consultation time information and/or the medical location information to multiple different
Normal medical treatment track data information is associated.
It should be understood that can perform step S106 by information association unit 150.
Push unit 160, for pushing multiple abnormal medical treatment track data information after association.
It should be understood that can perform step S107 by push unit 160.
In conclusion the present invention provides a kind of abnormal medical treatment track judgment method and devices, by obtaining the more of patient
Then a medical data information obtains coordinate information of going to a doctor according to location information of going to a doctor, finally to medical coordinate information by default
Model algorithm handled, to judge in multiple medical data informations with the presence or absence of abnormal medical treatment track data information.
On the one hand, since the exception medical treatment track judgment method and device can judge abnormal medical treatment track data information, due to working as
It is abnormal there are when abnormal medical treatment track, that is, indicating that this medical data of patient exist, and then audit crew can be facilitated to carry out
It examines, effectively finds out in the presence of reimbursement record is forged or there are patients that medical insurance card is lent to the information that other people use privately, more increase
Effect and practicality.On the other hand, since the exception medical treatment track judgment method and the data that device obtains are the multiple of each patient
Data, so data are sufficient, processing is more accurate.
It should be noted that herein, the relational terms of such as " first " and " second " or the like are used merely to one
A entity or operation with another entity or operate distinguish, without necessarily requiring or implying these entities or operation it
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant are intended to
Cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements includes not only those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or setting
Standby intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in the process, method, article or apparatus that includes the element.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should be noted that：Similar label and letter exist
Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing
It is further defined and is explained.
Claims (10)
1. a kind of exception medical treatment track judgment method, which is characterized in that exception medical treatment track judgment method includes：
Obtain multiple medical data informations of a patient, wherein the medical data information includes medical location information；
Medical coordinate information corresponding with the medical location information is obtained according to the medical location information；
The medical coordinate information is handled by preset model algorithm, to judge to be in the multiple medical data information
It is no to there is abnormal medical treatment track data information.
2. exception medical treatment track as described in claim 1 judgment method, which is characterized in that the medical data information further includes
Medical expenditure information, it is described before described the step of being handled by preset model algorithm the medical coordinate information
Abnormal medical treatment track judgment method further includes：
When any one medical expenditure information in the multiple medical data information is less than preset medical expenditure information, pick
Except the medical data information less than the preset medical expenditure information.
3. exception medical treatment track as described in claim 1 judgment method, which is characterized in that described to the medical coordinate information
It is handled by preset model algorithm, to judge in the multiple medical data information with the presence or absence of abnormal medical treatment track data
The step of information includes：
Processing is optimized by K-means clustering algorithms to the medical coordinate information；
True point is carried out by Graph nomographys to the medical coordinate information after optimization processing, to determine the first coordinate information and second
Coordinate information；
Judge whether each medical data information is respectively positioned on the pre- of first coordinate information or second coordinate information
If in range；
If it is not, then determining the medical number being not located in the preset range of first coordinate information or second coordinate information
It is believed that breath is abnormal medical treatment track data information.
4. exception medical treatment track as claimed in claim 3 judgment method, which is characterized in that described to judge each medical number
It is believed that the step whether breath is respectively positioned in the preset range of first coordinate information or second coordinate information includes：
Using first coordinate information as the center of circle, the first preset value is that radius determines the first preset range；
Using second coordinate information as the center of circle, the second preset value is that radius determines the second preset range；
Judge whether each medical data information is respectively positioned in first preset range or the second preset range.
5. exception medical treatment track as described in claim 1 judgment method, which is characterized in that the medical data information further includes
Consultation time information and medical number information, exception medical treatment track judgment method further include：
When there is abnormal medical treatment track data information in the medical data information, according to the consultation time information and/or
The medical location information is associated multiple abnormal medical treatment track data information；
Multiple abnormal medical treatment track data information after association are pushed.
6. a kind of exception medical treatment track judgment means, which is characterized in that exception medical treatment track judgment means include：
Information acquisition unit, multiple medical data informations for obtaining a patient, wherein the medical data information includes just
Examine location information；
Information acquisition unit is additionally operable to obtain medical seat corresponding with the medical location information according to the medical location information
Mark information；
Information process unit is described more to judge for being handled by preset model algorithm the medical coordinate information
With the presence or absence of abnormal medical treatment track data information in a medical data information.
7. exception medical treatment track as claimed in claim 6 judgment means, which is characterized in that the exception medical treatment track judges dress
It sets and further includes：
Information culling unit, for when any one medical expenditure information in the multiple medical data information is less than preset
When medical expenditure information, the medical data information less than the preset medical expenditure information is rejected.
8. exception medical treatment track as claimed in claim 6 judgment means, which is characterized in that described information processing unit includes：
Advance data quality module, for optimizing processing by K-means clustering algorithms to the medical coordinate information；
Information determination module, for carrying out true point by Graph nomographys to the medical coordinate information after optimization processing, to determine the
One coordinate information and the second coordinate information；
Judgment module, for judging whether each medical data information is respectively positioned on first coordinate information or described second
In the preset range of coordinate information；
Information determination module, if not sat all on first coordinate information or described second for the medical data information
In the preset range for marking information, it is determined that be not located in the preset range of first coordinate information or second coordinate information
Medical data information be abnormal medical treatment track data information.
9. exception medical treatment track as claimed in claim 8 judgment means, which is characterized in that described information determining module includes：
Range determination module, for using first coordinate information as the center of circle, the first preset value to be that radius determines the first default model
It encloses；
Range determination module is additionally operable to using second coordinate information as the center of circle, and the second preset value is that radius determines that second is default
Range；
Judgment module, for judging whether each medical data information is respectively positioned on first preset range or second default
In range.
10. exception medical treatment track as claimed in claim 6 judgment means, which is characterized in that the medical data information also wraps
Consultation time information and medical number information are included, exception medical treatment track judgment means further include：
Information association unit is used for when there is abnormal medical treatment track data information in the medical data information, according to described in
Consultation time information and/or the medical location information are associated multiple abnormal medical treatment track data information；
Push unit, for pushing multiple abnormal medical treatment track data information after association.
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