CN107705851A - A kind of bearing calibration of administration data - Google Patents

A kind of bearing calibration of administration data Download PDF

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Publication number
CN107705851A
CN107705851A CN201710137334.7A CN201710137334A CN107705851A CN 107705851 A CN107705851 A CN 107705851A CN 201710137334 A CN201710137334 A CN 201710137334A CN 107705851 A CN107705851 A CN 107705851A
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data
corrected
diagnosis
mobile terminal
treatment
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CN107705851B (en
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姚娟娟
樊代明
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Shanghai Ming Pharmaceutical Technology Co Ltd
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Shanghai Ming Pharmaceutical Technology Co Ltd
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Abstract

The present invention provides a kind of bearing calibration of administration data, and administration data to be corrected is corrected based on correction function by correction system, comprised the following steps:A. dosage section is determined based on the correction function【D1, d2】And medication cycle section【T1, t2】;B. dosage to be corrected and medication cycle to be corrected corresponding to the administration data to be corrected are extracted, if the dosage to be corrected does not fall within the dosage section【D1, d2】And/or the medication cycle to be corrected does not fall within the medication cycle section【T1, t2】, then step c is performed;C. administration data to be corrected is regenerated based on diagnosis and treatment data.The present invention can effectively be prevented drug abuse phenomenon, be had high commercial value using simple, simple operation.

Description

A kind of bearing calibration of administration data
Technical field
The present invention relates to field of computer technology, more particularly to a kind of bearing calibration of administration data.
Background technology
Mobile Clinics are gradually popularized with the growing of mobile computer field.Between sufferer and doctor, energy Information exchange is enough carried out by mobile device or computer equipment, realizes that interrogation is seen a doctor in strange land.In the prior art, common one kind Mobile diagnosis and treatment scheme includes following technological means:
User inputs the sufferer information such as state of an illness information, personal information to user terminal;
User terminal sends above-mentioned sufferer information to server;
Above-mentioned sufferer information is pushed to doctor terminal by server according to consistency operation logic;
Sufferer validation of information return information of the doctor then based on doctor terminal push, and sent out the return information by doctor terminal Deliver to server;
Server then pushes the return information to the user terminal.
In order to coordinate the realization of national separating drug dispensing from medical practice theory, it is trend of the times to complete diagnosis and treatment with medication by mobile terminal, Current way is that the mobile terminal of the mobile terminal for generating diagnosis and treatment data and generation administration data is divided into two independent ends End, but such the problem of still resulting in over-treatment and drug abuse.
And do not have a kind of technological means that can monitor such behavior in real time at present.
The content of the invention
The technical problem that technical solution of the present invention solves is how to realize the correction of administration data.
In order to solve the above-mentioned technical problem, technical solution of the present invention provides a kind of bearing calibration of administration data, passes through Correction system is corrected based on correction function to administration data to be corrected, is comprised the following steps:
A. dosage section is determined based on the correction function【D1, d2】And medication cycle section【T1, t2】;
B. dosage to be corrected and medication cycle to be corrected corresponding to the administration data to be corrected are extracted, if described treat school Positive dosage does not fall within the dosage section【D1, d2】And/or the medication cycle to be corrected does not fall within the medication cycle Section【T1, t2】, then step c is performed;
C. administration data to be corrected is regenerated based on diagnosis and treatment data.
Preferably, following steps are performed before the step a:
A1. the multiple index diagnosis and treatment data of database extraction based on correction system, and multiple index diagnosis and treatment data are performed Coding step;
A2. the database based on correction system extracts whole administration datas and whole administration datas is divided into N number of single group and uses Medicine data, each corresponding one of single group administration data index diagnosis and treatment data;
A3. it is based on formula d=f (t)=at2+ bt+c generates quadratic function, wherein, d represents dosage, and t represents medication week Phase, a, b, c are constant and changed according to the difference of types of drugs, then N number of single group administration data generates N number of secondary letter Number and corresponding one of the quadratic function index diagnosis and treatment data;
Preferably, in the step a, using coding rule same in the step a1 to the administration data to be corrected Encoded, selection quadratic function conduct corresponding with indexing diagnosis and treatment data described in the administration data coding identical to be corrected The correction function.
Preferably, the administration data to be corrected is generated based on the diagnosis and treatment data.
Preferably, the diagnosis and treatment data are generated by diagnosis and treatment mobile terminal, and the administration data passes through master control mobile terminal Generation.
Preferably, the master control mobile terminal generates the administration data to be corrected by following steps:
The master control mobile terminal caches whole index diagnosis and treatment data corresponding to the diagnosis and treatment data and to whole institute State index diagnosis and treatment data and perform evaluation procedure one by one;
The result revision index diagnosis and treatment data of the master control mobile terminal based on the evaluation procedure are simultaneously based on revision The index diagnosis and treatment data afterwards generate the administration data to be corrected.
Preferably, the master control mobile terminal embedded supplementary data in the administration data to be corrected,
The supplementary data is corresponding with the revised index diagnosis and treatment data.
Preferably, the diagnosis and treatment mobile terminal determines in the following manner:
I. history diagnosis and treatment data are divided into N number of packet and are sent back to the master control mobile terminal by destination mobile terminal;
Ii. the master control mobile terminal is graded one by one to N number of packet, and is based on function model y=f (x1, x2… xN)=SUM (P1×1+P2×2+…+PN× N) the evaluation of estimate y of the destination mobile terminal is obtained, wherein, P1+P2+…+PN= 1, x1, x2…xNIt is corresponding in turn to the rating result of N number of packet;
Iii. judge whether the evaluation of estimate y of the destination mobile terminal is more than first threshold, if the destination mobile terminal Evaluation of estimate y be more than first threshold, then the destination mobile terminal is defined as diagnosis and treatment mobile terminal, if the target movement eventually The evaluation of estimate y at end is less than first threshold, then restarts to perform step i.
Preferably, the destination mobile terminal, the diagnosis and treatment mobile terminal and the master control mobile terminal pass through described Correction system carries out data interaction.
The present invention is used as the information exchange medium of destination mobile terminal and third party's mobile terminal by master control mobile terminal, More accurate data interaction result is obtained, and the medication cycle based on each disease and dosage generation correspond Quadratic function, judge whether the administration data of doctor accurate, so as to reach the purpose of correction, the present invention uses simple, behaviour It is convenient to make, and can effectively prevent drug abuse phenomenon, has high commercial value.
Brief description of the drawings
The detailed description made by reading with reference to the following drawings to non-limiting example, other features of the invention, Objects and advantages will become more apparent upon:
Fig. 1 shows the embodiment of the present invention, a kind of idiographic flow signal of bearing calibration of administration data Figure;
Fig. 2 shows the first embodiment of the present invention, a kind of different according to types of drugs, generates medication cycle and medication The idiographic flow schematic diagram of the quadratic function relation of amount;
Fig. 3 shows the second embodiment of the present invention, and a kind of quadratic function relation of medication cycle and dosage is put down Face rectangular coordinate system;And
Fig. 4 shows the third embodiment of the present invention, and a kind of data interaction based on mobile terminal determines that diagnosis and treatment are moved The idiographic flow schematic diagram of the method for terminal.
Embodiment
In order to preferably make technical scheme clearly show, the present invention is made below in conjunction with the accompanying drawings into one Walk explanation.
Fig. 1 shows the embodiment of the present invention, a kind of idiographic flow signal of bearing calibration of administration data Figure, it will be appreciated by those skilled in the art that the invention discloses a kind of bearing calibration of administration data, correction is based on by correcting system Function pair administration data to be corrected is corrected, mainly by determining the medication cycle in general of each types of drugs And the scope of dosage, and the scope is based on, judge whether data to be corrected are within the scope of this, and tie according to judgement The process that fruit is corrected for, specifically, comprise the following steps:
First, into step S101, dosage section is determined based on the correction function【D1, d2】And medication cycle area Between【T1, t2】, it will be appreciated by those skilled in the art that the correction function be one kind according to universal dosage and universal medication cycle A kind of and function formed, it can be understood as, dosage and medication cycle in the range of the function curve belong to normal Medication, and the dosage and medication cycle outside the function curve scope belong to improper medication.
For example, in a preferred embodiment, the dosage required for general flu may be 10, and medication cycle May be 10 days, wherein, the dosage can be dose required for a certain middle medicine or multi-medicament one Rise, but pass through certain processing, a kind of encoding value provided, its numerical value is 10, then, in such embodiments, some Doctor may output daily 1, eat 10 days, it is also possible to output and eat 2 daily, eat 6 days, it is also possible to outputed and eaten 3 daily , eat 10 days etc., further, we can determine the dosage section【10,30】, wherein, d1 is 10, d2 For 30, the medication cycle section【6,10】, wherein, the t1 is 6 days, and t2 is 10 days, the dosage section【D1, d2】 And medication cycle section【T1, t2】It is according to determined by the correction function, and the correction function is to pass through number According to the quadratic function for indexing and being formed in storehouse, it is further described in these specific embodiments that will be described below, refuses herein Repeat.
Then, into step S102, dosage to be corrected and use to be corrected corresponding to the administration data to be corrected are extracted In the medicine cycle, judge whether the dosage to be corrected falls into the dosage section【D1, d2】With the medication cycle to be corrected Whether the medication cycle section is fallen into【T1, t2】, in such embodiments, according to being determined in the step S101 Dosage section【D1, d2】And medication cycle section【T1, t2】, represent a kind of corresponding medication under normal conditions of types of drugs Value and medication cycle value are measured, in this, as a kind of standard, extracts use to be corrected corresponding to the administration data to be corrected Dose and medication cycle to be corrected, dosage to be corrected and medication cycle to be corrected refer to corresponding to the administration data to be corrected After the dosage value and medication cycle value corresponding with the types of drugs are outputed in doctor, system is by the dosage Value and medication cycle value are compared with the numerical value in above-mentioned section, if the dosage to be corrected does not fall within the use Dose section【D1, d2】While, the medication cycle to be corrected does not fall within the medication cycle section yet【T1, t2】, then hold Row later-mentioned step S103, if the dosage to be corrected falls into the dosage section【D1, d2】While, the use to be corrected The medicine cycle also falls into the medication cycle section【T1, t2】, then administration data correction need not be carried out, is fed directly to patient.
As a kind of change case, this step S102 can also be realized in the following way, extract the medication number to be corrected According to corresponding dosage to be corrected and medication cycle to be corrected, judge whether the dosage to be corrected falls into the dosage area Between【Draw, d2】Or whether the medication cycle to be corrected falls into the medication cycle section【T1, t2】, in such embodiment In, according to the dosage section determined in the step S101【Draw, d2】And medication cycle section【T1, t2】, with this As standard, dosage to be corrected and medication cycle to be corrected corresponding to the administration data to be corrected are extracted, system is by described in Dosage value and medication cycle value are compared with the numerical value in above-mentioned section, if the dosage to be corrected is not fallen within The dosage section【D1, d2】, the medication cycle to be corrected falls into the medication cycle section【T1, t2】, then after performing Step S103 is stated, if the dosage to be corrected falls into the dosage section【D1, d2】, the medication cycle to be corrected do not fall Enter the medication cycle section【T1, t2】, then later-mentioned step S103 is performed.
And a kind of special change case is used as, this step S102 can also be realized in the following way, and extraction is described to be corrected Dosage to be corrected corresponding to administration data and medication cycle to be corrected, judge whether the dosage to be corrected falls into the use Dose section【D1, d2】Or whether the medication cycle to be corrected falls into the medication cycle section【T1, t2】, in such reality Apply in example, according to the dosage section determined in the step S101【D1, d2】And medication cycle section【T1, t2】, In this, as standard, dosage to be corrected and medication cycle to be corrected corresponding to the administration data to be corrected are extracted, system will The dosage value and medication cycle value are compared with the numerical value in above-mentioned section, if the dosage to be corrected is not Fall into the dosage section【D1, d2】, the medication cycle to be corrected falls into the medication cycle section【T1, t2】, then without Need to be corrected, user is fed directly to, if the dosage to be corrected falls into the dosage section【D1, d2】, it is described to treat Correction medication cycle does not fall within the medication cycle section【T1, t2】, without corrected, it is fed directly to user.
It will be appreciated by those skilled in the art that above-mentioned three kinds of embodiments, can individually complete, can also be used cooperatively, specific feelings Condition can be made a concrete analysis of according to specific dosage and medication cycle, will not be described here.
Finally, into step S103, administration data to be corrected is regenerated based on diagnosis and treatment data, in such embodiment In, if the dosage to be corrected does not fall within the dosage section【D1, d2】And/or the medication cycle to be corrected is not fallen within The medication cycle section【T1, t2】, then system intelligence is generated what is be adapted according to medication section and medication cycle section Administration data, doctor can also select to confirm or cancel, and after doctor confirms, the administration data will be fed directly to disease Suffer from, when doctor selects to cancel, doctor can input medication cycle and dosage, and return to step S102 again, so as to reach To the purpose corrected again.
Fig. 2 shows the first embodiment of the present invention, a kind of different according to types of drugs, generates medication cycle and medication The idiographic flow schematic diagram of the quadratic function relation of amount, it will be appreciated by those skilled in the art that described Fig. 2 is to determine in a certain medicine In thing, the step of the medication cycle and dosage section, described Fig. 2 will be before the step S101 to the step S103 Complete to be used as a kind of calibration standard, specifically, comprise the following steps:
First, into step S201, the multiple index diagnosis and treatment data of database extraction based on correction system, and to multiple ropes Draw diagnosis and treatment data and perform coding step, it will be appreciated by those skilled in the art that the database is to include the treatment of all diseases, examine The data center of disconnected information, the index diagnosis and treatment data are the title of disease, for example, heart disease, flu, epilepsy etc., from In the database, the name for extracting all illnesss is referred to as a kind of index list, and the coding refers to each illness Title extracts a characteristic value, and similar to Hash, the message data boil down to of substantial amounts of random length is had into consolidating for characteristic value The message data of measured length, and then cause the title of each illness to correspond to a kind of coding information.
Then, into step S202, the database based on correction system extracts whole administration datas and by whole medication number According to N number of single group administration data is divided into, each corresponding one of single group administration data index diagnosis and treatment data, the single group is used Medicine data are the administration data with characteristic value corresponding to each coding information, and the N groups are the quantity of all diseases, For example, in whole administration datas, there is cardiopathic administration data, the medication of the administration data for having flu, also epilepsy Data, the cardiopathic administration data are the administration data of single group, and the cardiopathic administration data is i.e. corresponding In the cardiopathic coding information.
Finally, into step S203, based on formula d=f (t)=at2+ bt+c generates quadratic function, wherein, d represents to use Dose, t represent medication cycle, and a, b, c are constant and changed according to the difference of types of drugs, then N number of single group administration data Generate N number of quadratic function and corresponding one of the quadratic function index diagnosis and treatment data, those skilled in the art Understand, the dosage is dependent variable, and the medication cycle is independent variable, but the purpose of the present invention is not a desirable to draw and is based on The quadratic function and the dosage that is formed increase or decrease with the increase of the medication cycle, but according to described For quadratic function in rectangular coordinate system, the area formed according to X-axis, Y-axis and quadratic function curve determines medication to be corrected The criterion of data.
In such embodiments, according to quadratic function characteristic, when constant a, b contrary sign, the quadratic function symmetry axis Will be on the right side of Y-axis, further, when a is less than 0, Open Side Down, and constant c will determine the quadratic function image and Y-axis Intersection point, i.e. quadratic function image meet at (0.c) with Y-axis, i.e., when c is 0, quadratic function meets at (0.0) with Y-axis, excellent at one In selection of land embodiment, the cardiopathic quadratic function can be set asOne kind is formd in Y On the right side of axle, Y-axis is intersected at, and what Open Side Down has a range of quadratic function image.
Further, N number of single group administration data generates N number of quadratic function and a quadratic function corresponding one The individual index diagnosis and treatment data, in such embodiments, each group of administration data to be corrected will generate corresponding secondary letter Number, and corresponding to correspondingly coding information, for example, it is above-mentioned in the quadratic function of popular name for can be set as And that catches a cold could be arranged toAnd epilepsy could be arranged toThese It will be changed according to the difference of the types of drugs, and described a, b, c are determined according to single group administration data in database 's.
Further, in the step S101, using coding rule same in the step S201 to described to be corrected Administration data is encoded, and selection is corresponding secondary with indexing diagnosis and treatment data described in the administration data coding identical to be corrected Function is as the correction function, in such embodiments, in order to enable administration data to be corrected accurately to correspond to In the index diagnosis and treatment data, it is necessary to be encoded to the administration data to be corrected, and select the described and use to be corrected The data to be corrected further, are corresponded to secondary letter by the corresponding index diagnosis and treatment data of medicine data as correction reference Judgement is corrected in number.
Fig. 3 shows the second embodiment of the present invention, and a kind of quadratic function relation of medication cycle and dosage is put down Face rectangular coordinate system, as shown in figure 3, with the increase of medication cycle, the dosage is in the trend being gradually increasing, and reaches one After individual peak value, with the increase of medication cycle, the dosage is in the trend being gradually reduced.
It will be appreciated by those skilled in the art that the X-axis, Y-axis and the quadratic function curve, together form a closing Spatial area, when the location of the medication cycle in the administration data to be corrected and dosage be located at spatial area it It is interior, then it need not correct, when the location of the medication cycle in the administration data to be corrected and dosage are located at space Outside area, then need to regenerate administration data to be corrected based on diagnosis and treatment data, and in a preferred embodiment, as long as Any value in medication cycle and dosage need not then correct within span.
Further, the medication cycle and the dosage can not also be quadratic function relations, or inverse ratio Example function, elliptic function, or be only the span of the medication cycle formed according to big data, dosage takes Be worth scope, this has no effect on technical scheme, its correct mode can also by step S101 to step S103 come Carry out, will not be described here.
Fig. 4 shows the third embodiment of the present invention, and a kind of data interaction based on mobile terminal determines that diagnosis and treatment are moved The idiographic flow schematic diagram of the method for terminal, it will be appreciated by those skilled in the art that the administration data to be corrected is based on the diagnosis and treatment Data generate, and the diagnosis and treatment data are doctor's prescription, dose etc. information, the most simply, can be directly by institute Diagnosis and treatment data are stated as administration data to be corrected.
Further, the diagnosis and treatment data are generated by diagnosis and treatment mobile terminal, and the administration data to be corrected passes through master control Mobile terminal generates, it will be appreciated by those skilled in the art that the present invention is used to realize medical diagnosis, the master control movement by mobile terminal Terminal is the mobile terminal used in the doctor, can be pad, notebook computer or smart mobile phone, and passes through the shifting The information records such as the doctor's advice, medication in mobile terminal, and are formed the administration data to be corrected by dynamic terminal, doctor.
In a preferred embodiment, the master control mobile terminal generates the medication number to be corrected by following steps According to:
First, the master control mobile terminal caches whole index diagnosis and treatment data corresponding to the diagnosis and treatment data and to complete Diagnosis and treatment data are indexed described in portion and perform evaluation procedure one by one.Specifically, the master control mobile terminal caching all examine by the index The purpose for treating data is conveniently to read the index diagnosis and treatment data one by one, it will be appreciated by those skilled in the art that the diagnosis and treatment data Including administration data, and the administration data that the diagnosis and treatment data are included falls within the medication number corrected in system database According to a part, correspondingly, according to the mode of the step S201, the administration data that the diagnosis and treatment data are included can be generated The corresponding whole index diagnosis and treatment data, i.e. all described corresponding to the diagnosis and treatment data to index diagnosis and treatment data.Specifically Ground, the master control mobile terminal can be evaluated all index diagnosis and treatment data based on the database of itself, Huo Zhesuo State master control mobile terminal and be also based on the database of correction system and all index diagnosis and treatment data are evaluated, specifically Evaluation method has multiple choices, for example, all diagnosis and treatment described in the index diagnosis and treatment as shown by data move corresponding to the diagnosis and treatment data Dynamic terminal is provided using tri- kinds of medicines of A, B, C, after the master control mobile terminal is based on database evaluation, draws A medicines and discomfort With and the applicable conclusion of B, C medicine.
Secondly, result revision of the master control mobile terminal based on the evaluation procedure is described indexes diagnosis and treatment data and is based on The revised index diagnosis and treatment data generate the administration data to be corrected.Specific address, this step are to whole above-mentioned Carried out on the basis of the index diagnosis and treatment data evaluation, the master control mobile terminal can use and be actively added new rope afterwards Draw diagnosis and treatment data or directly directly delete the index diagnosis and treatment data for not meeting evaluation result, for example, master control movement is eventually End draws A medicines and conclusion inapplicable and that B, C medicine are applicable, the then revised index diagnosis and treatment of the master control mobile terminal Data are provided using B, C medicine or the instruction using B, C, D medicine.On this basis, the master control mobile terminal is according to repairing Diagnosis and treatment data are indexed after ordering and generate the administration data to be corrected, for example, master control mobile terminal generation containing B, C medicine with And the administration data to be corrected comprising dosage and administration time, or the master control mobile terminal generation contain B, C, D Medicine and the administration data to be corrected comprising dosage and administration time,
Further, the master control mobile terminal embedded supplementary data, supplementary data in the administration data It is corresponding with the revised index diagnosis and treatment data.Specifically, the master control mobile terminal and the diagnosis and treatment mobile terminal energy Enough realize real-time, interactive, the master control mobile terminal is in the administration data after embedded supplementary data, and by the supplement number According to sending to the diagnosis and treatment mobile terminal or share can be by the benefit to the diagnosis and treatment mobile terminal, the diagnosis and treatment mobile terminal Make up the number according to being stored in the database of its own, so as to the reference as later generation diagnosis and treatment data.More specifically, the school The supplementary data can be also stored in the database of its own by positive system, so that the master control mobile terminal is described in evaluation Used when indexing administration data.
Further, the data interaction based on mobile terminal determines that the idiographic flow of the method for diagnosis and treatment mobile terminal shows Intention comprises the following steps:
Step S301 is first carried out, the destination mobile terminal is based on case data export diagnosis and treatment data and by described in Diagnosis and treatment data are divided into N number of packet and are sent back to the master control mobile terminal.Specifically, the destination mobile terminal receives disease Number of cases parses after to the case data, and then obtains multiple case informations in the case data, the target Mobile terminal generates to obtain multiple diagnostic messages according to multiple case informations, and the destination mobile terminal believes multiple diagnosis afterwards Breath carries out coding generation diagnosis and treatment data.More specifically, the destination mobile terminal can be directly according to multiple diagnostic messages pair The diagnosis and treatment data are split, and then obtain N number of packet, and now, N number of numerical value is identical with the quantity of diagnostic message, for example, Multiple diagnostic messages include the personal information of patient, the type information of patient disease, state of an illness information, the patient mood of patient disease Condition information, to the comfort information of patient, the sincere advice information to patient, patient's economic situation information totally seven kinds of information, then accordingly The diagnosis and treatment data are divided into seven packets by the ground destination mobile terminal.
Change as one kind, in the case of diagnostic message is more, multiple diagnostic messages can also be carried out first Packet, the quantity for being then based on packet split the diagnosis and treatment data.For example, multiple diagnostic messages include the personal letter of patient Breath, the disease information of patient, the history information of patient, the history medication information of patient, the keyword message of patient's description, patient Family's medical history information, patients' family information about firms, patient it is expected that medical treatment location information, patient it is expected Waiting time information, patient Cognitive information, patient mood condition information to self-disease, comfort information, the sincere advice information to patient, patient to patient Economic situation information etc., correspondingly, the destination mobile terminal are grouped to numerous diagnostic messages first, such as will be numerous Diagnostic message is grouped into patient's objective information, patient's subjective information, patient-relevant informa, the judgement information to patient, Zhi Houzai The diagnosis and treatment data are divided into by four packets based on such packet.
Further, step S302 is performed, the master control mobile terminal is graded one by one to N number of packet, and is based on Function model y=f (x1, x2…xN)=SUM (P1×1+P2×2+…+PN× N) obtain the evaluation of estimate of the destination mobile terminal Y, wherein, P1+P2+…+PN=1, x1, x2…xNIt is corresponding in turn to the rating result of N number of packet.Those skilled in the art manage Solution, by taking matlab function as an example, SUM is the function for seeking array element sum in matlab, and the field type handled by it is necessary It is numeric type, it is impossible to it is other data types, such as character or date.Again using SUM functions in Microsoft Excel as Example, if parameter is an array or reference, only calculates numeral therein.Array or quote in blank cell, logic Value or text will be ignored, if arbitrary parameter is improper value or is the text that can not be converted to numeral, Excel will show mistake By mistake.Preferably, those skilled in the art can complete summation operation with designed, designed summing function based on specific operation rule.
Further, P1, P2…PNThe digitization form of the rating result of the packet, i.e. P1, P2…PNRespectively according to Secondary corresponding x1, x2…xNRating result.Specifically, the evaluation of estimate y of the destination mobile terminal is to realize technical solution of the present invention Important parameter, but in this embodiment, directly the destination mobile terminal is not evaluated, and to each data Bag is obtaining evaluation of estimate y after being graded based on summing function, and the evaluation of estimate y so obtained is more objective, and can be with pin It is accurate that different evaluations is formulated different packets, further to increase evaluation of estimate y authenticity and objectivity.
Further, the evaluation to each packet needs to understand with reference to step S301, for example, the target moves Terminal is directly split according to multiple diagnostic messages to the diagnosis and treatment data, and then obtains N number of packet, now, N number of numerical value Identical with the quantity of diagnostic message, multiple diagnostic messages include the personal information of patient, the type information of patient disease, Huan Zheji Disease state of an illness information, patient mood condition information, to the comfort information of patient, the sincere advice information to patient, patient's economic situation Information totally seven kinds of information, correspondingly, obtains seven packets, the type information that the master control mobile terminal establishes patient disease is commented Valency system, the state of an illness information evaluation system of patient disease, patient mood condition information appraisement system, the comfort information to patient are commented Valency system, the sincere advice information evaluation system to patient, patient's economic situation information evaluation system, totally seven appraisement systems, and will Seven packets correspond to be placed in seven appraisement systems respectively obtains the grading of corresponding data bag, and evaluation result is passed through into data The form of change shows.
In another example changing as one kind, first multiple diagnostic messages are grouped first, the quantity for being then based on packet will The diagnosis and treatment data segmentation, wherein, multiple diagnostic messages include personal information, the disease information of patient, the disease of patient of patient History information, the history medication information of patient, the keyword message of patient's description, patients' family history information, patients' family member Information, patient it is expected that medical treatment location information, patient it is expected cognitive information to self-disease of Waiting time information, patient, patient Emotional status information, to the comfort information of patient, the sincere advice information to patient, patient's economic situation information etc., correspondingly, institute State destination mobile terminal to be first grouped numerous diagnostic messages, numerous diagnostic messages are grouped into patient's objective information, suffered from Person's subjective information, patient-relevant informa, the judgement information to patient, correspondingly, four packets are obtained, the master control movement is eventually End establish patient's objective information appraisement system, patient's subjective information appraisement system, patient-relevant informa's appraisement system, to patient's Judge information evaluation system, totally four appraisement systems, and four packets are corresponded to be placed in four appraisement systems respectively and obtained The grading of corresponding data bag, and evaluation result is showed by the form of digitization.It is it will be appreciated by those skilled in the art that different Packet partitioning scheme corresponding to appraisement system be also different.
Finally, step S303 is performed, judges whether the evaluation of estimate y of the destination mobile terminal is more than first threshold, if institute The evaluation of estimate y for stating destination mobile terminal is more than first threshold, then performs step S304, the destination mobile terminal is defined as examining Mobile terminal is treated, if the evaluation of estimate y of the destination mobile terminal is less than first threshold, restarts to perform step S301.
Specifically, by way of this step realizes circulation determination diagnosis and treatment mobile terminal, i.e. the master control mobile terminal Information exchange constantly can be carried out from different destination mobile terminals, until finding evaluation of estimate y is more than target corresponding to first threshold Mobile terminal, and then it is defined as diagnosis and treatment mobile terminal.More specifically, destination mobile terminal is confirmed as diagnosis and treatment movement eventually Behind end, its position rank in the information interactive process of whole mobile diagnosis and treatment can be improved, for example, the master control mobile terminal can be with On the basis of the data that the diagnosis and treatment mobile terminal is sent, other kinds of data are further generated, in another example, the diagnosis and treatment movement The data that terminal determines can be sent directly to third party's mobile terminal, in another example, the data that the diagnosis and treatment mobile terminal determines Information database, etc. can be directly entered.It will be appreciated by those skilled in the art that moved by the way that destination mobile terminal is defined as into diagnosis and treatment Dynamic terminal, and then improve its position rank in information exchange system, it can further improve the efficiency of information exchange and accurate Property.
The specific embodiment of the present invention is described above.It is to be appreciated that the invention is not limited in above-mentioned Particular implementation, those skilled in the art can make various deformations or amendments within the scope of the claims, this not shadow Ring the substantive content of the present invention.

Claims (9)

1. a kind of bearing calibration of administration data, school is carried out to administration data to be corrected based on correction function by correction system Just, it is characterised in that comprise the following steps:
A. dosage section is determined based on the correction function【D1, d2】And medication cycle section【T1, t2】;
B. dosage to be corrected and medication cycle to be corrected corresponding to the administration data to be corrected are extracted, if the use to be corrected Dose does not fall within the dosage section【D1, d2】And/or the medication cycle to be corrected does not fall within the medication cycle section 【T1, t2】, then step c is performed;
C. administration data to be corrected is regenerated based on diagnosis and treatment data.
2. bearing calibration according to claim 1, it is characterised in that perform following steps before the step a:
A1. the multiple index diagnosis and treatment data of database extraction based on correction system, and coding is performed to multiple index diagnosis and treatment data Step;
A2. the database based on correction system extracts whole administration datas and whole administration datas is divided into N number of single group medication number According to each corresponding one of single group administration data index diagnosis and treatment data;
A3. it is based on formula d=f (t)=at2+ bt+c generates quadratic function, wherein, d expression dosages, t expression medication cycles, a, B, c is constant and change according to the difference of types of drugs, then the N number of quadratic function of N number of single group administration data generation and Corresponding one of one quadratic function index diagnosis and treatment data;
3. bearing calibration according to claim 2, it is characterised in that in the step a, using same in the step a1 Coding rule the administration data to be corrected is encoded, selection with described in the administration data to be corrected coding identical Quadratic function corresponding to diagnosis and treatment data is indexed as the correction function.
4. bearing calibration according to any one of claim 1 to 3, it is characterised in that the administration data base to be corrected Generated in the diagnosis and treatment data.
5. bearing calibration according to claim 4, it is characterised in that the diagnosis and treatment data are given birth to by diagnosis and treatment mobile terminal Into the administration data to be corrected is generated by master control mobile terminal.
6. bearing calibration according to claim 5, it is characterised in that the master control mobile terminal is generated by following steps The administration data to be corrected:
The master control mobile terminal caches whole index diagnosis and treatment data corresponding to the diagnosis and treatment data and to all rope Draw diagnosis and treatment data and perform evaluation procedure one by one;
The result revision index diagnosis and treatment data of the master control mobile terminal based on the evaluation procedure are simultaneously based on revised The index diagnosis and treatment data generate the administration data to be corrected.
7. bearing calibration according to claim 6, it is characterised in that the master control mobile terminal is in the medication to be corrected Embedded supplementary data in data, the supplementary data are corresponding with the revised index diagnosis and treatment data.
8. the bearing calibration according to any one of claim 4 to 7, it is characterised in that the diagnosis and treatment mobile terminal passes through In the following manner determines:
I. history diagnosis and treatment data are divided into N number of packet and are sent back to the master control mobile terminal by destination mobile terminal;
Ii. the master control mobile terminal is graded one by one to N number of packet, and is based on function model y=f (x1, x2…xN)= SUM(P1×1+P2×2+…+PN× N) the evaluation of estimate y of the destination mobile terminal is obtained, wherein, P1+P2+…+PN=1, x1, x2…xNIt is corresponding in turn to the rating result of N number of packet;
Iii. judge whether the evaluation of estimate y of the destination mobile terminal is more than first threshold, if the destination mobile terminal is commented Value y is more than first threshold, then the destination mobile terminal is defined as into diagnosis and treatment mobile terminal, if the destination mobile terminal Evaluation of estimate y is less than first threshold, then restarts to perform step i.
9. bearing calibration according to claim 8, it is characterised in that the destination mobile terminal, diagnosis and treatment movement are eventually End and the master control mobile terminal carry out data interaction by the correction system.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6305377B1 (en) * 1996-12-12 2001-10-23 Michael T. Portwood System and method for improving compliance of a medical regimen
CN102012974A (en) * 2010-12-15 2011-04-13 中国人民解放军第四军医大学 Clinical safe and rational administration decision support system
CN102737165A (en) * 2012-06-07 2012-10-17 北京太元通软件科技有限公司 Clinical medication decision support system
CN106354511A (en) * 2016-08-31 2017-01-25 杭州逸曜信息技术有限公司 Auditing interface generation method
CN106446528A (en) * 2016-08-31 2017-02-22 杭州逸曜信息技术有限公司 Drug use warning information processing method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6305377B1 (en) * 1996-12-12 2001-10-23 Michael T. Portwood System and method for improving compliance of a medical regimen
CN102012974A (en) * 2010-12-15 2011-04-13 中国人民解放军第四军医大学 Clinical safe and rational administration decision support system
CN102737165A (en) * 2012-06-07 2012-10-17 北京太元通软件科技有限公司 Clinical medication decision support system
CN106354511A (en) * 2016-08-31 2017-01-25 杭州逸曜信息技术有限公司 Auditing interface generation method
CN106446528A (en) * 2016-08-31 2017-02-22 杭州逸曜信息技术有限公司 Drug use warning information processing method

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