CN107731285B - Method for calculating education contribution of hierarchical education system - Google Patents
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Abstract
The invention provides a method for calculating education contribution of a hierarchical education system, which is used for calculating education contribution of a second diagnosis terminal in the hierarchical education systemThe breeding contribution parameter V comprises the following steps: a. acquiring the number m of times that a first diagnosis terminal initiates a request for acquiring a specific prescription X; b. acquiring a prescription Y made by the first diagnosis terminal aiming at a diagnosis service request; c. determining a reference K of the specific prescription X based on the specific prescription X and the prescription Y, wherein K is more than or equal to 0.5 and less than or equal to 1; d. calculating a weighted reference v for the particular prescription X; e. calculating an educational contribution parameter V of the second diagnosis terminal based on the weighted reference degree V, namely:
where N is the total number of times the particular prescription X has been called. The method is simple, powerful in function and strong in practicability, greatly contributes to graded education and plays a positive role in evaluating the contribution of doctors.
Description
Technical Field
The invention relates to the field of information management systems, in particular to an application of an information management system related to medical hierarchical diagnosis, and specifically relates to a method for calculating education contribution degrees of all diagnosis terminals in the whole hierarchical education management system in the hierarchical education management system.
Background
Medical problems are social problems concerned by each country, and various technical schemes also intervene in medical system construction, hospital construction, improvement of academic levels of doctors, improvement of medical environments and the like. Aiming at the basic national situation of China, the problems that medical resource areas are unevenly distributed and patients excessively depend on the Hospital are urgently needed to be improved and solved. Such medical problems are not completely turned back in a short time by means of a system, but a technical solution based on the internet technology and an information management system highlights the motivation, importance and a certain degree of complete change to medical reform.
In the prior art, more attention has been focused on the construction of family doctors and household medical information systems, such as the chinese utility model patent with the invention name of "one family medical terminal" and the application number of 201220735095.8, and the chinese patent application with the invention name of "one family medical service system" and the application number of 201610008678.3. The technical schemes mainly solve the problems of difficult medical care and over-pressure in hospitals from the perspective of how patients can complete medical diagnosis at home.
Under the prior art, the re-education of doctors is usually completed through school education, namely, doctors receive medical education and profound construction in school, most doctors do not have the opportunity to go to the deep construction in school, and on one hand, the doctors are forced to work and on the other hand, the doctors are difficult to test into the medical colleges again. In particular, medical education is difficult for a diagnosis terminal in a remote mountain area. Unfortunately, there is no well-established solution to the above problems in the prior art, which directly results in the difficulty, especially the inefficiency, of medical grade diagnosis.
The internet can realize the function of providing the on-line medical service through the diagnosis terminal, but the prior art has no solution for evaluating and calculating the contribution degree of the diagnosis terminal to a disease. Actually, the diagnostic data of a certain diagnostic terminal is very important for other diagnostic terminals, and if a prescription formed by a certain diagnostic terminal in the process of providing medical services is applied to the hierarchical education management system, doctors can learn with cases and prescriptions through other diagnostic terminals to improve their medical skills, and how to determine the contribution of the prescription to the entire hierarchical education management system is an urgent technical problem to be solved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method for calculating the education contribution degree of a hierarchical education system, which is used for calculating the education contribution parameter V of a second diagnosis terminal in a hierarchical education system, and comprises the following steps:
a. acquiring the number m of times that a first diagnosis terminal initiates a request for acquiring a specific prescription X;
b. acquiring a prescription Y made by the first diagnosis terminal aiming at a diagnosis service request;
c. determining a reference K of the specific prescription X based on the specific prescription X and the prescription Y, wherein K is more than or equal to 0.5 and less than or equal to 1;
d. calculating a weighted reference v for the particular prescription X;
e. calculating an educational contribution parameter V of the second diagnosis terminal based on the weighted reference degree V, namely:
Preferably, the method further comprises the following steps:
f. calculating the sum S of education contribution parameters V corresponding to all diagnosis terminals in the hierarchical education center management subsystem where the second diagnosis terminal is located;
g. calculating a weighting ratio j of the education contribution parameter V corresponding to the second diagnosis terminal to the S;
h. and calculating the integral B of the second diagnosis terminal as a total integral xj, wherein the total integral is the sum of the integrals of the management subsystem of the hierarchical education center in which the second diagnosis terminal is located in a time period.
Preferably, the step c includes the steps of:
c1. comparing the specific prescription X with the prescription Y and obtaining a comparison value;
c2. determining the reference K based on the comparison value.
Preferably, the weighted reference v of the specific prescription X in step d is calculated by the following formula: k ═ v 1 +K 2 +K 3 …K m K/m or v
Preferably, the specific prescription X is compared with the prescription Y in the step c1 by a grammar comparison method.
Preferably, in the step c1, the specific prescription X is compared with the prescription Y according to the similarity of the medical elements.
Preferably, the diagnosis and treatment elements include a step of diagnosis and treatment, a laboratory test instrument, a test index, a name of a medicine, a number of medicines, and a proportion of medicines.
The invention confirms the reference degree of a specific prescription through the reference times of doctors to the specific prescription and the finally issued prescription, determines the education contribution degree of the doctors issuing the specific prescription based on the reference degree, determines the weighted proportion of the education contribution degree of the doctors issuing the specific prescription through the sum of the education contribution degrees in the hierarchical education center management subsystem, and finally obtains the score of the doctors issuing the specific prescription. The method is simple, powerful in function and strong in practicability, greatly contributes to hierarchical education and has a positive effect on assessment of contribution of doctors.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a schematic flow chart showing a method for calculating education contribution of a hierarchical education system according to an embodiment of the present invention;
fig. 2 is a flowchart showing a detailed procedure of a method for calculating education contribution of a hierarchical education system according to a first embodiment of the present invention; and
fig. 3 is a schematic view showing a detailed flow of determining a reference degree K of the prescription X based on the prescription X and the prescription Y in the method for calculating an educational contribution of the hierarchic education system according to the second embodiment of the present invention.
Detailed Description
In order to better clearly show the technical scheme of the invention, the invention is further explained with reference to the attached drawings.
Fig. 1 is a flowchart illustrating a method for calculating education contribution of a hierarchical education system according to an embodiment of the present invention, and it will be understood by those skilled in the art that the method for calculating education contribution of a second diagnosis terminal in a hierarchical education system of the present invention is used to calculate an education contribution parameter V of a second diagnosis terminal, further, confirm the reference of a specific prescription by a doctor and the final prescription and determine the education contribution of the doctor who prescribes the specific prescription based on the reference, and specifically, comprises the steps of:
firstly, step S101 is performed to obtain the number m of times a first diagnostic terminal initiates a request for obtaining a specific prescription X, and those skilled in the art understand that the first diagnostic terminal may be a computer, a mobile phone, a tablet or other devices capable of providing online medical services, and the number of times the request for obtaining a specific prescription X initiated by the first diagnostic terminal is obtained based on the management software of the hierarchical education center management subsystem on the first diagnostic terminal. Specifically, the specific prescription X is a prescription made by another diagnosis terminal based on a certain disease, for example, when the diagnosis terminal A diagnoses the cold, a specific prescription X is generated, the specific prescription X is generated for the first time by the diagnosis terminal A, and other diagnosis terminals do not generate the same prescription before the generation, when the diagnosis terminal B diagnoses the cold, the specific prescription X of the diagnosis terminal A is used for reference, and further, the first diagnosis terminal is the diagnosis terminal B, the specific prescription X is the prescription for the cold generated by the diagnosis terminal A, and diagnostic terminal B can be understood as any diagnostic terminal other than diagnostic terminal a that has the need to diagnose cold conditions, that is, there may be a plurality of diagnosis terminals B, and accordingly, the requested number m is the number of times that the diagnosis terminal B refers to the specific prescription X of the diagnosis terminal a when diagnosing the cold symptom.
Then, step S102 is performed to obtain a prescription Y made by the first diagnostic terminal for a diagnostic service request, and those skilled in the art understand that, in combination with the example in step S101, the diagnostic service request is a medical service required to be provided for a cold condition, and the prescription Y made is a prescription finally generated by the diagnostic terminal B when diagnosing a cold, in such an embodiment, the diagnostic terminal B may completely refer to a specific prescription X generated by the diagnostic terminal a when diagnosing a cold, or may adjust the prescription according to a difference of cold symptoms on the basis of the specific prescription X, for example, when diagnosing a cold, the diagnostic terminal B increases a medicine or decreases a medicine on the basis of the specific prescription X.
Then, step S103 is entered, and a reference degree K of the specific prescription X is determined based on the specific prescription X and the prescription Y, where K is greater than or equal to 0.5 and less than or equal to 1, and those skilled in the art understand that, in combination with the preferred embodiments shown in steps S101 to S102, the diagnostic terminal a generates a specific prescription X when diagnosing a cold, the specific prescription X is generated for the first time by the diagnostic terminal a, and no other diagnostic terminal generates the same prescription before, while the diagnostic terminal B generates a cold by referring to the specific prescription X of the diagnostic terminal a, and the diagnostic terminal B generates a prescription Y based on the specific prescription of the diagnostic terminal a.
Further, the reference degree is the similarity degree between the specific prescription X and the prescription Y, in such an embodiment, the reference degree is preferably greater than or equal to 0.5 and less than or equal to 1, when the reference degree is 0.5, that is, the prescription Y has a half of the referenced specific prescription X, when the reference degree is 1, that is, the prescription Y refers to the whole of the referenced specific prescription X, in other embodiments, when the reference degree is less than 0.5, that is, the similarity degree between the specific prescription X and the prescription Y is considered to be low, in other words, the prescription Y does not excessively refer to the specific prescription X and is not within our attention range, further, when the similarity degree between the specific prescription X and the prescription Y satisfies the condition 0.5 ≦ K ≦ 1, step S104 is executed.
After step S103 is executed and the condition of the reference degree K is satisfied, step S104 is executed to calculate the weighted reference degree v-K of the specific prescription X 1 +K 2 +K 3 …K m M, in combination with the embodiments shown in steps S101 to S103, the number of times of reference of the diagnosis terminal B to the specific prescription X may be 1, 2, 5 or more, so that it is necessary to obtain a weighted reference degree of reference of the diagnosis terminal B to the specific prescription X, and those skilled in the art understand that the weighted reference degree is the sum of the reference degrees K of multiple references of the diagnosis terminal B and then divided by the number of times, for example, the diagnosis terminal B references 3 times, respectively K 1 、K 2 、K 3 Wherein, K is 1 Is 0.9, K 2 Is 0.9, K 3 Is 0.6, and further, the weighted reference degree of the specific prescription X is 0.8.
In another embodiment, the formula v for calculating the weighted reference degree of the specific prescription X is K/m, in such an embodiment, the reference degree K is the similarity of the prescription Y generated based on the specific prescription X, and further, when the reference degree K is 0.9 and the reference frequency is 3 times, the reference degree v is 0.3, which does not affect the technical solution of the present invention and is not described herein again.
Finally, step S105 is executed to calculate an educational contribution parameter V of the second diagnosis terminal based on the weighted reference V, that is:
wherein N is a total number of times the prescription X is called, in an embodiment, the specific prescription X of the second diagnosis terminal is referred to by the first diagnosis terminal and a weighted reference degree V1 is obtained, the specific prescription X of the second diagnosis terminal is referred to by the third diagnosis terminal and a weighted reference degree V2 is obtained, the specific prescription X of the second diagnosis terminal is referred to by the fourth diagnosis terminal and a weighted reference degree V3 is obtained, the total number of times the prescription X is called is the number of times N referred to by the plurality of diagnosis terminals, in an embodiment, if the specific prescription of the second diagnosis terminal is referred to 5 times, an educational contribution parameter V of the second diagnosis terminal is V1+ V2+ V3+ V4+ V5/5, if the specific prescription of the second diagnosis terminal is referred to 1 time, the educational contribution parameter V is V, and will not be described in detail herein. Specifically, by such a calculation, not only the number of times the specific prescription X is referred to but also the ratio of the specific prescription X itself referred to each time it is referred to is taken into consideration, so that the degree of recognition of the specific prescription X by other diagnostic terminals can be obtained more accurately.
Fig. 2 shows a specific flowchart of a method for calculating education contribution of a hierarchical education system according to a first embodiment of the present invention, and it is understood by those skilled in the art that fig. 2 refers to fig. 1 to obtain an integral of a second diagnosis terminal according to the education contribution corresponding to the second diagnosis terminal as the first embodiment of the present invention, and in such an embodiment, steps S201 to S205 in fig. 2 may refer to steps S101 to S105 shown in fig. 1, which are not described herein again.
Then, step S206 is performed, and a total S of education contribution parameters V corresponding to all diagnosis terminals in a hierarchical education center management subsystem where the second diagnosis terminal is located is calculated, as understood by those skilled in the art, the hierarchical education center management subsystem includes a plurality of diagnosis terminals, each diagnosis terminal can be understood as a first diagnosis terminal or a second diagnosis terminal, that is, each diagnosis terminal can be a specific prescription generated by referring to other diagnosis terminals, or can spontaneously generate a specific prescription for reference by other diagnosis terminals, further, each diagnosis terminal has an education contribution parameter corresponding to itself, that is, the education contribution parameter obtained by using its prescription by other diagnosis terminals, and the education contribution parameters of all diagnosis terminals are added, that is, the total S of education contribution parameters V corresponding to all diagnosis terminals in the hierarchical education center management subsystem where the second diagnosis terminal is located And S.
Then, the step S207 is proceeded to, a weighted ratio j of the education contribution parameter V corresponding to the second diagnosis terminal to S is calculated, and it is understood by those skilled in the art that, assuming that there are 5 diagnosis terminals (actually, far more than 5 diagnosis terminals, which are only examples here) in the hierarchical education center management subsystem, respectively being a first diagnosis terminal, a second diagnosis terminal, a third diagnosis terminal, a fourth diagnosis terminal and a fifth diagnosis terminal, wherein the education contribution parameter V1 of the first diagnosis terminal is 0.7, the education contribution parameter V2 of the second diagnosis terminal is 0.6, the education contribution parameter V3 of the third diagnosis terminal is 0.5, the education contribution parameter V4 of the fourth diagnosis terminal is 0.7, the education contribution parameter V5 of the fifth diagnosis terminal is 0.9, and then S is 0.7+0.6+0.5+0.7+0.9, that is 3.4, and further, the weighting ratio is 0.6, i.e., 0.176, i.e., j is 0.176, in the S.
Finally, step S208 is entered, and the total score B of the second diagnostic terminal is calculated, where the total score is the sum of the scores of the management subsystem of the hierarchical education center where the second diagnostic terminal is located in a time period, in such an embodiment, the time period may be one week, one month, one quarter or half year, etc., and the total score may be the contribution value accumulated by the diagnostic terminal through the diagnosis of the patient, credit, etc., and further, in a preferred embodiment, the total score is 5088 in one month, and then, in combination with the preferred embodiment shown in step S207 and the formula in this step, the score B of the second diagnostic terminal is 5088 0.176, i.e., 895.488.
Fig. 3 is a schematic flow chart showing a specific process for determining a reference degree K of a prescription X based on the prescription X and the prescription Y in the education contribution calculating method of the second embodiment of the present invention, and those skilled in the art understand that as the second embodiment of the present invention, a method for obtaining the reference degree K is provided, specifically, comprising the steps of:
first, step S1031 is entered, the specific prescription X and the prescription Y are compared, and a comparison value is obtained, in such an embodiment, the specific prescription X and the prescription Y may be compared by text-to-text comparison, similarity of medical elements, and the like.
In a preferred embodiment, the specific prescription X and the prescription Y are compared by text-to-text comparison, i.e. text information and literal meaning are compared, and more specifically, information described in text of the specific prescription X and information described in text of the prescription Y can be compared.
In another preferred embodiment, the specific prescription X and the prescription Y are compared by means of similarity of medical elements, in such an embodiment, the medical elements include medical steps, laboratory instruments, laboratory indexes, names of medicines, the number of medicines, the proportion of medicines and the like, and are compared one by one, and are compared more finely based on the weight ratio of each category in the similarity of the whole prescription.
Finally, step S1032 is entered, the reference degree K is determined based on the comparison value, in such an embodiment, in combination with the preferred embodiment shown in step S1031, we choose to compare the specific prescription X and the prescription Y by the similarity of the clinical elements, further, we define the steps of diagnosis and treatment, the testing instruments, the indexes of testing, the names of the medicines, the number of the medicines, and the ratio of the medicines as P1, P2, P3, P4, P5, and P6, respectively, and the ratio of the weights is 0.1, 0.2, 0.3, and 0.2, respectively, then the similarity of each category can be multiplied by the corresponding ratio of the weights, and finally added to obtain the final similarity.
The foregoing description has described specific embodiments of the present invention. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes and modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention.
Claims (2)
1. A method for calculating education contribution of a hierarchical education system for calculating an education contribution parameter V of a second diagnosis terminal in a hierarchical education system, comprising the steps of:
a. acquiring the number m of times that a first diagnosis terminal initiates a request for acquiring a specific prescription X;
b. acquiring a prescription Y made by the first diagnosis terminal aiming at a diagnosis service request;
c. comparing the specific prescription X with the prescription Y through the similarity of diagnosis and treatment elements, and determining the reference degree K of the specific prescription X based on the comparison value of the specific prescription X and the prescription Y, wherein K is more than or equal to 0.5 and less than or equal to 1; the reference degree K is 0.5, namely, half of the prescription Y refers to the specific prescription X, and the reference degree K is 1, namely, the specific prescription X is referred to by the prescription Y; the diagnosis and treatment elements comprise any one or more of the following elements: diagnosis and treatment; an assay instrument; an index of assay; the name of the drug; the number of drugs; and the proportion of drugs; the diagnosis and treatment steps, the laboratory test instrument, the laboratory test indexes, the names of the medicines, the number of the medicines and the weight ratio occupied by the proportion of the medicines are respectively set, and the final similarity is obtained by multiplying the similarity of the diagnosis and treatment elements of each category by the corresponding weight ratio and finally adding the obtained product;
d. calculating a weighted reference degree v for the specific prescription X by the formula v-K1 + K2+ K3 … Km/m or v-K/m; km is the reference degree of the mth time;
e. calculating an educational contribution parameter V of the second diagnostic terminal based on the weighted reference degree V, namely:
f. calculating the sum S of education contribution parameters V corresponding to all diagnosis terminals in a hierarchical education center management subsystem where the second diagnosis terminal is located;
g. calculating a weighted proportion j of an education contribution parameter V corresponding to the second diagnosis terminal and the S;
h. and calculating the integral B of the second diagnosis terminal as a total integral xj, wherein the total integral is the sum of the integrals of the management subsystem of the hierarchical education center in which the second diagnosis terminal is located in a time period.
2. The computing method according to claim 1, wherein said specific prescription X is compared with said prescription Y in said step c by a grammar comparison method.
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| CN1804850A (en) * | 2005-11-24 | 2006-07-19 | 朱文锋 | Symptom and sign differentiation, diagnosis and treatment system in traditional Chinese medicine |
| CN101625714A (en) * | 2009-08-13 | 2010-01-13 | 北京中医药大学 | Remote traditional Chinese medical diagnosis and treatment system |
| CN103425799B (en) * | 2013-09-04 | 2016-06-15 | 北京邮电大学 | Individuation research direction commending system and recommend method based on theme |
| CN103559324A (en) * | 2013-11-25 | 2014-02-05 | 方正国际软件有限公司 | Method and system for prompting prescription information |
| CN103699794A (en) * | 2013-12-20 | 2014-04-02 | 柳州市盛景科技有限公司 | Cloud-computing-based TCM (traditional Chinese medicine) expert remote intelligent diagnosis system |
| CN104537495A (en) * | 2014-12-31 | 2015-04-22 | 浙江大学 | Scholar ability calculation method and system |
| CN104680458A (en) * | 2015-02-09 | 2015-06-03 | 李宏强 | Method for recommending medical-seeking departments, hospitals or doctors to public based on massive prescriptions |
| CN104657488B (en) * | 2015-03-05 | 2016-03-02 | 中南大学 | A kind of author's influence power computing method based on quoting communication network |
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| CN105488151A (en) * | 2015-11-27 | 2016-04-13 | 小米科技有限责任公司 | Reference document recommendation method and apparatus |
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