CN112542232A - Method and system for automatically monitoring number of antibacterial drug users in observation period based on MapReduce and big data - Google Patents
Method and system for automatically monitoring number of antibacterial drug users in observation period based on MapReduce and big data Download PDFInfo
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- 229940124350 antibacterial drug Drugs 0.000 title claims abstract description 478
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000012544 monitoring process Methods 0.000 title claims abstract description 40
- 238000001647 drug administration Methods 0.000 claims abstract description 27
- 239000003814 drug Substances 0.000 claims description 181
- 230000000844 anti-bacterial effect Effects 0.000 claims description 131
- 229940079593 drug Drugs 0.000 claims description 67
- 239000003242 anti bacterial agent Substances 0.000 claims description 30
- 230000000845 anti-microbial effect Effects 0.000 claims description 6
- 230000003115 biocidal effect Effects 0.000 claims 1
- 238000004364 calculation method Methods 0.000 abstract description 2
- 230000015572 biosynthetic process Effects 0.000 abstract 1
- 238000003786 synthesis reaction Methods 0.000 abstract 1
- JFPVXVDWJQMJEE-IZRZKJBUSA-N cefuroxime Chemical compound N([C@@H]1C(N2C(=C(COC(N)=O)CS[C@@H]21)C(O)=O)=O)C(=O)\C(=N/OC)C1=CC=CO1 JFPVXVDWJQMJEE-IZRZKJBUSA-N 0.000 description 18
- 229960001668 cefuroxime Drugs 0.000 description 18
- 230000003044 adaptive effect Effects 0.000 description 8
- 239000004599 antimicrobial Substances 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 4
- 238000012216 screening Methods 0.000 description 4
- 238000012546 transfer Methods 0.000 description 4
- 230000009885 systemic effect Effects 0.000 description 3
- 208000035473 Communicable disease Diseases 0.000 description 2
- 208000022362 bacterial infectious disease Diseases 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000000069 prophylactic effect Effects 0.000 description 2
- 206010067484 Adverse reaction Diseases 0.000 description 1
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Abstract
The utility model provides a method and a system for automatically monitoring the number of antibacterial drug users in an observation period based on MapReduce and big data, which is based on a MapReduce framework and utilizes the parallel computing power of machines under a distributed system to divide millions and millions of inpatients exceeding the memory and storage limit of a server into tens of millions and hundreds of millions of small tasks, simultaneously execute the small tasks on a plurality of machines, and generate a final result by summarizing the intermediate output results of the small tasks. The invention carries out mass parallel calculation on large data which can not be avoided when the national level and the provincial level monitor networks and comprises million, million and hundred million levels of inpatients according to provincial and municipal areas, hospital levels, hospital beds, synthesis and specialization, official and civil services and various calibers. The method and the system aim at managing the medical advice of the drug administration in a determined time period, effectively evaluate the prescribing condition of the antibacterial drug in a specific time period, effectively manage the use of the antibacterial drug and avoid the problem that the antibacterial drug is disorderly and disorderly used.
Description
Technical Field
The invention belongs to the technical field of antibacterial management, and particularly relates to a method and a system for automatically monitoring the number of users of antibacterial agents in an observation period based on MapReduce and big data, which are particularly suitable for a scene that the data volume of a patient to be processed far exceeds that of a server for storage (a disk) and computing capacity (memory and CPU) and task splitting and distribution cannot be performed manually.
Background
The invention and application of the antibacterial drug bring convenience for human beings to treat a plurality of serious bacterial infectious diseases, and effectively reduce the death rate of various infectious diseases. The application of the antibacterial drugs needs to be reasonably selected according to different infectious diseases, but the phenomenon of abuse of the antibacterial drugs often occurs in clinic, so that the pathogenic bacteria generate drug resistance to the antibacterial drugs, and the curing difficulty of the bacterial infectious diseases is increased. Therefore, the antibacterial drugs should be used reasonably from the beginning of clinical practice, and abuse of the antibacterial drugs is firmly stopped. The special antibacterial drugs have obvious or serious adverse reactions and are not suitable for random use; the use of antibacterial agents that avoid the bacteria developing resistance too quickly needs to be strictly controlled; the new antibacterial medicament which is marketed for less than five years has less clinical data in the aspect of curative effect or safety and is not superior to the existing antibacterial medicament; expensive antibacterial agents. Therefore, it is particularly important to manage the number of people who use the antibacterial agent. In managing the number of antibacterial drug users, it is often desirable to manage orders for administration over a particular time period to monitor antibacterial drug usage over the particular time period. The number of the antibacterial agent used in the observation period means the number of the antibacterial agent applied to the whole body of the inpatient who is the monitoring target in the observation period. Only the orders for administration within a certain period of time are counted, and the antibacterial drug usage orders prior to the counted period of time are not calculated.
The invention patent application with publication number CN107153765A discloses a medication information processing method and device of antibacterial drugs, the method comprises: step 1, acquiring antibacterial drug administration information from a medical institution administration information database, wherein the antibacterial drug administration information comprises basic information and treatment information of a patient; step 2, extracting diagnosis information, doctor authority information and prescription source information from the basic information and the treatment information; step 3, carrying out conformity judgment on the diagnosis information, the doctor authority information and the prescription source information by using an antibacterial medicine reasonable medication rule, and if not, executing step 4; and 4, generating and outputting the warning information.
Although the application manages the antibacterial drug administration through antibacterial drug administration information, treatment information, doctor authority information and the like, the application judges the compliance of the antibacterial drug administration to judge whether the antibacterial drug administration is reasonable or not, but cannot manage the antibacterial drug advice number, cannot manage the number of users of the antibacterial drug in an observation period, and cannot effectively evaluate the offering condition of the antibacterial drug in a specific time period.
Therefore, how to manage the number of users of antibacterial agents in the observation period is a problem to be solved in the field.
The number of the antibacterial drugs used in the observation period is relatively easy to calculate in a medical institution, the number of the common medical institution such as the third-class A is about fifty thousands of people discharged from the hospital every year, and the state or provincial-class tap hospital has hundreds of thousands of people. The calculation of the key indexes is complex under the condition of large data of millions, billions and billions of inpatients of hundreds and thousands of medical institutions in provincial regions or nationwide ranges, 2749 third-level hospitals in the China in 2019, 9687 second-level hospitals in 2019 and 17487 thousands of inpatients in public hospitals, and the initial result of one-time statistical analysis needs to be calculated in the last year.
Therefore, how to develop standardization, normalization and homogenization hospital infection monitoring in hundreds of hospitals and thousands of hospitals in one area and realize the number of the antibacterial drug users in the specified time period under the condition of big data of inpatients becomes the most urgent problem to be solved for developing the regional information monitoring platform.
Disclosure of Invention
The invention aims to provide a method and a system for automatically monitoring the number of antibacterial drug users in an observation period based on MapReduce and big data aiming at the defects of the prior art. The invention can manage the number of the users of the antibacterial drugs in the observation period, effectively evaluate the opening condition of the antibacterial drugs in a specific time period, and effectively manage the use of the antibacterial drugs.
In order to achieve the purpose, the invention adopts the following technical scheme:
the method for automatically monitoring the number of the antibacterial drug users in the observation period based on MapReduce and big data comprises the following steps:
s1, receiving statistical time, departments, antibacterial medicine names, antibacterial medicine grades, administration modes, medication purposes, doctor advices and doctor advices grades selected by the user, and determining the authority departments of the user according to the identity information of the user;
s2, collecting the information B of the patient in the branch department, judging whether the time of the information B intersects with the statistical time, and whether departments belong to the branch records of the authority department and the selected department at the same time, if yes, executing the step S3, and if not, outputting the number of the users of the antibacterial drugs to be 0;
s3, acquiring hospitalization process information A of the patient, and acquiring the hospitalization time and the discharge time of the patient based on the hospitalization process information, wherein the hospitalization time and the discharge time are jointly used as parameters g.MC2;
s4, collecting an antibacterial medication record F, dividing the antibacterial medication order record F into an antibacterial medication record F (a) Y used during patient hospitalization and an antibacterial medication record F (a) N not used during patient hospitalization based on the parameter g.mc2;
s5, obtaining an antibacterial drug record F (d) Y which meets the statistical time, the authority department and the selected department limit in the antibacterial drug record F (a) Y;
s6, obtaining an antibacterial drug record F (j) Y which meets the antibacterial drug name, antibacterial drug grade, administration mode, administration purpose, doctor advice and doctor grade limitation in the antibacterial drug record F (d) Y;
s7, outputting the number of the antibacterial agent users based on the number recorded in the antibacterial agent record F (j) _ Y.
Further, the information of the branch department comprises the patient case number, the department, the time of entering the department and the time of leaving the department; the hospitalization process information comprises a patient case number, an admission department, admission time, a discharge department and discharge time; the antibacterial drug records comprise patient case numbers, advice departments, antibacterial drug names, starting times, ending times, antibacterial drug grades, drug administration modes, drug purposes, advice doctors and advice doctor grades.
Further, the step S2 specifically includes:
s21, collecting the patient' S information B of the branch department, dividing the information B of the branch department into information B (a) and Y of the branch department whose time is crossed with the statistical time and information B (a) and N of the branch department whose time is not crossed with the statistical time;
s22, dividing the branch information B (a) _ Y into branch information B (b) _ Y of which the department belongs to the authority department and branch information B (b) _ N of which the department does not belong to the authority department based on the authority department;
s23, dividing the branch information B (b) _ Y into branch information B (c) _ Y of which the department belongs to the selected department and branch information B (c) _ N of which the department does not belong to the selected department based on the selected department;
s24, judging whether the branch information B (c) and Y has branch records, if yes, executing step S3, and if not, outputting that the number of the antibacterial drugs is 0.
Further, the step S5 specifically includes:
s51, dividing the antibacterial drug record F (a) Y into an antibacterial drug record F (b) Y used in a statistical time period and an antibacterial drug record F (b) N not used in the statistical time period;
s52, dividing the antibacterial drug record F (b) _ Y into an antibacterial drug record F (c) _ Y in the range of the user authority department and an antibacterial drug record F (c) _ N out of the range based on the authority department;
s53, based on the selected department, dividing the antibacterial drug record F (c) _ Y into an antibacterial drug record F (d) _ Y in the range selected by the user and an antibacterial drug record F (d) _ N not in the range selected by the user.
Further, the step S6 specifically includes:
s61, dividing the antibacterial drug record F (d) Y into an antibacterial drug record F (e) Y consistent with the antibacterial drug name selected by the user and an antibacterial drug record F (e) N inconsistent with the antibacterial drug name selection based on the antibacterial drug name;
s62, dividing the antibacterial drug record F (e) Y into an antibacterial drug record F (f) Y consistent with the antibacterial drug grade selected by the user and an antibacterial drug record F (f) N inconsistent with the antibacterial drug grade selection based on the antibacterial drug grade;
s63, dividing the antibacterial drug record F (f) Y into an antibacterial drug record F (g) Y which is consistent with the antibacterial drug administration mode selected by the user and an antibacterial drug record F (g) N which is not consistent with the antibacterial drug administration mode selection based on the administration mode;
s64, dividing the antibacterial drug record F (g) Y into an antibacterial drug record F (h) Y for treatment and another antibacterial drug record F (h) N for other purposes based on the purposes of medication;
s65, dividing the antibacterial drug record F (h) Y into an antibacterial drug record F (i) Y consistent with the antibacterial drug prescribing doctor selected by the user and an antibacterial drug record F (i) N not consistent with the antibacterial drug prescribing doctor selected by the antibacterial drug prescribing doctor based on the prescribing doctor;
s66, dividing the antibacterial medicine records F (i) _ Y into antibacterial medicine records F (j) _ Y which are consistent with the antibacterial medicine prescribing doctor grade selected by the user and antibacterial medicine records F (j) _ N which are not consistent with the antibacterial medicine prescribing doctor grade selection based on the prescribing doctor grade.
The invention also provides a system for automatically monitoring the number of the antibacterial drug users in the observation period based on MapReduce and big data, which comprises the following steps:
the receiving module is used for receiving the statistical time, departments, antibacterial medicine names, antibacterial medicine grades, administration modes, medication purposes, advices doctors and advices doctor grades selected by the user and determining the authority departments of the user according to the identity information of the user;
the collection and judgment module is used for collecting the patient's branch information B, judging whether the branch information B has time crossed with the statistical time and the branch records of departments belonging to the authority department and the selected department at the same time, if so, calling the parameter acquisition module, and if not, outputting the number of the antibacterial drug users as 0;
the parameter acquisition module is used for acquiring hospitalization process information A of the patient, acquiring the hospitalization time and the discharge time of the patient based on the hospitalization process information, and taking the hospitalization time and the discharge time as the parameter g.MC2;
the first division module of the antibacterial drug record is used for acquiring an antibacterial drug record F, and dividing the antibacterial drug order record F into an antibacterial drug record F (a) used during the hospitalization of the patient and an antibacterial drug record F (a) N not used during the hospitalization of the patient based on the parameter g.MC2;
the first acquisition module of the antibacterial drug record is used for acquiring the antibacterial drug record F (d) Y which meets the limitations of the statistical time, the authority department and the selected department from the antibacterial drug record F (a) Y;
the second acquisition module of the antibacterial drug record is used for acquiring the antibacterial drug record F (j) Y which meets the antibacterial drug name, antibacterial drug grade, administration mode, medication purpose, doctor advising and doctor advising grade limits in the antibacterial drug record F (d) Y;
and the output module is used for outputting the number of the antibacterial drug users based on the number recorded in the antibacterial drug record F (j) _ Y.
Further, the information of the branch department comprises the patient case number, the department, the time of entering the department and the time of leaving the department; the hospitalization process information comprises a patient case number, an admission department, admission time, a discharge department and discharge time; the antibacterial drug records comprise patient case numbers, advice departments, antibacterial drug names, starting times, ending times, antibacterial drug grades, drug administration modes, drug purposes, advice doctors and advice doctor grades.
Further, the collecting and judging module specifically includes:
the first division module of the information of the branch department, is used for gathering the information B of the branch department of the patient, divide the information B of the branch department into the information B (a) Y of the branch department that there is intersection with the said statistical time of time and information B (a) N of the branch department that the time does not intersect with the said statistical time;
the department information second division module is used for dividing the department information B (a) _ Y into department information B (b) _ Y of which the department belongs to the authority department and department information B (b) _ N of which the department does not belong to the authority department based on the authority department;
the third division module of the department information is used for dividing the department information B (b) _ Y into the department information B (c) _ Y of which the department belongs to the selected department and the department information B (c) _ N of which the department does not belong to the selected department based on the selected department;
and the judging module is used for judging whether the branch information B (c) and Y (Y) has a branch record, if so, the parameter obtaining module is called, and if not, the number of the users of the antibacterial drugs is 0.
Further, the first module for acquiring the antibacterial drug record specifically comprises:
the second antibacterial drug record dividing module is used for dividing the antibacterial drug records F (a) and Y into antibacterial drug records F (b) and Y used in the statistical time period and antibacterial drug records F (b) and N not used in the statistical time period;
the third division module of the antibacterial drug record is used for dividing the antibacterial drug record F (b) _ Y into an antibacterial drug record F (c) _ Y in the range of the user authority department and an antibacterial drug record F (c) _ N out of the range based on the authority department;
and the antibacterial medicine record fourth dividing module is used for dividing the antibacterial medicine record F (c) _ Y into an antibacterial medicine record F (d) _ Y in a range selected by the user and an antibacterial medicine record F (d) _ N not in the range selected by the user based on the selected department.
Further, the second acquisition module for the antibacterial drug record specifically comprises:
the antibacterial drug record fifth dividing module is used for dividing the antibacterial drug record F (d) Y into an antibacterial drug record F (e) Y which is consistent with the antibacterial drug name selected by the user and an antibacterial drug record F (e) N which is not consistent with the antibacterial drug name selection based on the antibacterial drug name;
the antibacterial medicine record sixth dividing module is used for dividing the antibacterial medicine record F (e) Y into an antibacterial medicine record F (f) Y with the grade consistent with that of the antibacterial medicine selected by the user and an antibacterial medicine record F (f) N not conforming to the grade selection of the antibacterial medicine based on the grade of the antibacterial medicine;
the seventh division module of the antibacterial drug record is used for dividing the antibacterial drug record F (f) Y into an antibacterial drug record F (g) Y which is consistent with the administration mode of the antibacterial drug selected by the user and an antibacterial drug record F (g) N which is not consistent with the selection of the administration mode of the antibacterial drug based on the administration mode;
the eighth division module of the antibacterial drug record is used for dividing the antibacterial drug record F (g) Y into an antibacterial drug record F (h) Y for treatment and another antibacterial drug record F (h) N for other purposes based on the purpose of medication;
the antibacterial medicine record ninth dividing module is used for dividing the antibacterial medicine record F (h) Y into an antibacterial medicine record F (i) Y consistent with the antibacterial medicine prescribing doctor selected by the user and an antibacterial medicine record F (i) N inconsistent with the antibacterial medicine prescribing doctor selection based on the prescribing doctor;
and the antibacterial medicine record tenth dividing module is used for dividing the antibacterial medicine record F (i) _ Y into an antibacterial medicine record F (j) _ Y which is consistent with the antibacterial medicine prescribing doctor grade selected by the user and an antibacterial medicine record F (j) _ N which is not consistent with the antibacterial medicine prescribing doctor grade selection based on the prescribing doctor grade.
The method records the specific implementation mode of automatically monitoring the number of the antibacterial drug users in the observation period in detail, determines the authority department of the user according to the identity information of the user by utilizing the information of the branch department, the information of the hospitalization process, the record of the antibacterial drug, the selected statistical time, the department, the name of the antibacterial drug, the grade of the antibacterial drug, the drug delivery mode, the drug purpose, the doctor and the doctor level, and judges each patient, thereby accurately counting the number of the antibacterial drug users in the observation period. The invention can automatically monitor the antibacterial drugs within a determined time period, and avoids the labor intensity of manual data statistics. Meanwhile, the administration advice in a certain period of time is managed, the prescribing condition of the antibacterial drugs in a specific time period is effectively evaluated, the use of the antibacterial drugs is effectively managed, and the problem that the antibacterial drugs are disorderly and disorderly used is avoided.
Drawings
FIG. 1 is a flowchart of a method for automatically monitoring the number of users of an antibacterial agent in an observation period based on MapReduce and big data according to an embodiment;
fig. 2 is a structural diagram of a system for automatically monitoring the number of users of an antibacterial agent in an observation period based on MapReduce and big data, which is provided by the second embodiment.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
In the following examples, X (y) type specification:
x represents a data set of a certain type;
y represents a serial number used for distinguishing a front data set and a rear data set of the same type of data in different logic units;
x (y) represents a data set under different logical units for a certain type of data;
y represents a coincidence condition;
n represents nonconforming;
example one
As shown in fig. 1, the present embodiment provides a method for automatically monitoring the number of users of an antibacterial agent in an observation period based on MapReduce and big data, including:
s1, receiving statistical time, departments, antibacterial medicine names, antibacterial medicine grades, administration modes, medication purposes, doctor advices and doctor advices grades selected by the user, and determining the authority departments of the user according to the identity information of the user;
and automatically monitoring the number of the antibacterial agents in the observation period, and counting the number of the antibacterial agents applied to the whole body of the hospitalized patients. Patients who are monitored for systemic application of antibacterial agents during the observation period need to meet the following requirements: 1. the patients are in hospital at the same time, namely the period of time for the patients to be discharged and discharged is crossed with the statistical time; 2. the patients had the antibacterial drugs used within the statistical time range; 3. the user selection condition is satisfied.
Therefore, the invention is used for automatically monitoring the number of the antibacterial drug users in the observation period, so that the users are required to select the corresponding time period, namely the users select the corresponding statistical time to count and search the patients using the antibacterial drug in the statistical time. In addition, for the antibacterial drug use in hospitals, users usually monitor the antibacterial drug use patients for specific departments, so that the invention also sets corresponding departments in addition to counting time. The hospital data has corresponding privacy, so that the statistics and monitoring of the hospital data in the invention require a user to acquire corresponding data authority. The data authority of the user is associated with the corresponding identity information, so that the authority department of the user is determined according to the identity information of the operation user, and the data in the authority department is counted and monitored.
In addition, the present invention also enables monitoring of patients using antimicrobial drugs for specific antimicrobial drug names, antimicrobial drug grades, modes of administration, purposes of medication, prescribing doctors, prescribing doctor grades, and the like. Therefore, according to the invention, the user can select the name of the antibacterial drug, the grade of the antibacterial drug, the drug administration mode, the drug purpose, the doctor for order advice and the grade of the doctor for order advice according to needs, so that the statistics and monitoring of the number of the antibacterial drug users according to needs are realized.
S2, collecting the information B of the patient in the branch department, judging whether the time of the information B intersects with the statistical time, and whether departments belong to the branch records of the authority department and the selected department at the same time, if yes, executing the step S3, and if not, outputting the number of the users of the antibacterial drugs to be 0;
the branch information is used for recording the information of entering and leaving the department of each diagnosis and treatment department during the hospitalization period of the patient, and specifically comprises the patient case number, the department, the time of entering the department, the time of leaving the department and the like. For the branch information B, the branch information is firstly screened based on the statistical time, the authority department and the selected department, and only if the corresponding branch records exist after screening, the inpatients using the antibacterial drugs are possible to exist. Therefore, when there is no record of referral after screening, that is, there is no subject requirement satisfying the statistical time, the authority subject and the selection at the same time, the number of the output users of the antibacterial agent is 0, that is, there is no hospitalized patient using the antibacterial agent during the observation period. The invention screens the branch information in sequence based on the statistical time, the authority department and the selected department, therefore, the step S2 specifically comprises:
s21, collecting the patient' S information B of the branch department, dividing the information B of the branch department into information B (a) and Y of the branch department whose time is crossed with the statistical time and information B (a) and N of the branch department whose time is not crossed with the statistical time;
the invention firstly screens the information B of the department transfer based on the statistical time, wherein the information B is the initial data set of the type of the department transfer of the corresponding patient. Y represents a qualified branch record, and N represents an unqualified branch record.
For example, the referral information B is:
| patient's case number | Department's office | Time of entering the clinic | Time of delivery |
| 123456(1) | Neurology department | 2019-01-01 00:00:12 | 2019-01-05 01:00:12 |
| 123456(1) | ICU | 2019-01-05 01:00:12 | 2019-01-08 02:00:12 |
| 123456(1) | Rehabilitation department | 2019-01-08 02:00:12 | 2019-01-12 03:00:12 |
The statistical time is as follows: 2019-01-0100: 00:00 to 2019-01-1023: 59:59, then B (a) Y is:
b (a) N is:
| patient's case number | Department's office | Time of entering the clinic | Time of delivery |
S22, dividing the branch information B (a) _ Y into branch information B (b) _ Y of which the department belongs to the authority department and branch information B (b) _ N of which the department does not belong to the authority department based on the authority department;
because the authority of each user is different, the invention screens the branch information B (a) Y based on the authority department room, so that the data operated by the user is adaptive to the corresponding authority. Incidentally, the branch information b (b) _ Y is a branch record in a department belonging to the authority range managed by the user, and the branch information b (b) _ N is a branch record in a department not belonging to the authority range managed by the user.
For example, the rights department is: all departments, for the above b (a) _ Y, b (b) _ Y:
| patient's case number | Department's office | Time of entering the clinic | Time of delivery |
| 123456(1) | Neurology department | 2019-01-01 00:00:12 | 2019-01-05 01:00:12 |
| 123456(1) | ICU | 2019-01-05 01:00:12 | 2019-01-08 02:00:12 |
| 123456(1) | Rehabilitation department | 2019-01-08 02:00:12 | 2019-01-12 03:00:12 |
B (b) N is:
| patient's case number | Department's office | Time of entering the clinic | Time of delivery |
S23, dividing the branch information B (b) _ Y into branch information B (c) _ Y of which the department belongs to the selected department and branch information B (c) _ N of which the department does not belong to the selected department based on the selected department;
in the invention, the user can monitor the inpatients using the antibacterial drugs aiming at a specific department, therefore, the invention screens the department information B (b) _ Y based on the selected department, so that the statistical and screened data is adaptive to the department selected by the user independently, and the user can select the corresponding data as required to count the cases using the antibacterial drugs in a specific department.
For example, the department selected by the user is the total selection, and for the above b (b) _ Y, b (c) _ Y:
b (c) N is:
| patient's case number | Department's office | Time of entering the clinic | Time of delivery |
S24, judging whether the branch information B (c) and Y has branch records, if yes, executing step S3, and if not, outputting that the number of the antibacterial drugs is 0.
Specifically, the invention judges according to the branch records B (c) _ Y, if the patient has records after the three steps, the operation is continued downwards, if the patient has no records, the operation is ended, and the result is 0.
S3, acquiring hospitalization process information A of the patient, and acquiring the hospitalization time and the discharge time of the patient based on the hospitalization process information, wherein the hospitalization time and the discharge time are jointly used as parameters g.MC2;
the hospitalization process information is used for integrally recording the hospitalization process of the patient, and specifically comprises the patient case number, the hospital admission department, the hospital admission time, the hospital discharge department and the hospital discharge time. The method comprises the steps of firstly obtaining the hospitalization process information A of a patient, and further obtaining the relevant information of the fields of the admission time and the discharge time, wherein the relevant information is jointly used as the parameter g.MC2.
For example, hospitalization procedure information a is:
| patient's case number | Admission department | Time of admission | Discharge department | Time of discharge |
| 123456(1) | Neurology department | 2019-01-01 00:00:12 | Rehabilitation department | 2019-01-12 03:00:12 |
The obtained parameter g.mc2 is: [2019-01-0100:00:12,2019-01-1203:00:12].
S4, collecting an antibacterial medication record F, dividing the antibacterial medication order record F into an antibacterial medication record F (a) Y used during patient hospitalization and an antibacterial medication record F (a) N not used during patient hospitalization based on the parameter g.mc2;
the antibacterial drug record F is used for recording the advice information of the doctor on each patient, and specifically comprises the patient case number, the advice department, the antibacterial drug name, the starting time, the ending time, the antibacterial drug grade, the drug administration mode, the drug purpose, the doctor who orders and the doctor who orders. Patients who use the antibacterial drug during the normal observation period should have the start time and the end time of the antibacterial drug order record within the hospitalization time range of the patients, so the invention screens obviously wrong data according to the parameter g.MC2. Specifically, the invention filters out the antibacterial drug records F (a) and N which are not used in the hospitalization period of the patient based on the comparison between the fields of the start time and the end time in the antibacterial drug order records and the parameter g.MC2 of the hospitalization and discharge time to obtain the antibacterial drug records F (a) and Y which are used in the hospitalization period of the patient.
For example, antibacterial drug record F is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-02 08:00:00 | 2019-01-02 08:30:00 | Is pumped into | Treatment of |
For g.mc2 above, f (a) _ Y is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-02 08:00:00 | 2019-01-02 08:30:00 | Is pumped into | Treatment of |
F (a) N is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
S5, obtaining an antibacterial drug record F (d) Y which meets the statistical time, the authority department and the selected department limit in the antibacterial drug record F (a) Y;
the invention firstly screens antibacterial drug records F (a) _ Y based on statistical time, authority departments and selected departments, and specifically comprises the following steps:
s51, dividing the antibacterial drug record F (a) Y into an antibacterial drug record F (b) Y used in a statistical time period and an antibacterial drug record F (b) N not used in the statistical time period;
the invention firstly screens the antibacterial drug record F (a) Y based on the statistical time, and the statistical time range is t1-t 2; if the start time of the antibacterial drug record and the end time of the antibacterial drug record are both less than t1, or the start time of the antibacterial drug record and the end time of the antibacterial drug record are both greater than t2, or the start time of the antibacterial drug record is not less than t2, the antibacterial drug record is F (b) N which is not used in the statistical time period.
For example, for f (a) _ Y and statistical time described above, f (b) _ Y is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-02 08:00:00 | 2019-01-02 08:30:00 | Is pumped into | Treatment of |
F (b) N is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
S52, dividing the antibacterial drug record F (b) _ Y into an antibacterial drug record F (c) _ Y in the range of the user authority department and an antibacterial drug record F (c) _ N out of the range based on the authority department;
because the authority of each user is different, the invention screens the antibacterial drug records F (b) _ Y based on the authority department, so that the data operated by the users are adaptive to the corresponding authority. The field of 'prescribing department' in the antibacterial drug record F (b) _ Y is compared with the authority department, and whether the field of 'prescribing department' belongs to the scope of the authority department is judged. The antibacterial drug record F (c) _ Y is an antibacterial drug record in a department belonging to the authority range managed by the user, and the antibacterial drug record F (c) _ N is an antibacterial drug record in a department not belonging to the authority range managed by the user.
For F (b) _ Y, F (c) _ Y mentioned above, it is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-02 08:00:00 | 2019-01-02 08:30:00 | Is pumped into | Treatment of |
F (c) N is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
S53, dividing the antibacterial drug record F (c) _ Y into an antibacterial drug record F (d) _ Y in a range selected by a user and an antibacterial drug record F (d) _ N not in the range selected by the user based on a selected department;
in the invention, the user can monitor the number of people using the antibacterial drugs aiming at a specific department, therefore, the invention screens the antibacterial drug records F (c) Y based on the selected department, so that the statistical and screened data are adaptive to the department selected by the user independently, the user can select the corresponding data as required, and the case of the number of people using the antibacterial drugs in the inpatients in a specific department is counted. And comparing the field of the 'prescribing department' in the antibacterial drug record with the selected department, and judging whether the field of the 'prescribing department' belongs to the range of the selected department.
For F (c) _ Y, F (d) _ Y mentioned above:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-02 08:00:00 | 2019-01-02 08:30:00 | Is pumped into | Treatment of |
F (d) N is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
S6, obtaining an antibacterial drug record F (j) Y which meets the antibacterial drug name, antibacterial drug grade, administration mode, administration purpose, doctor advice and doctor grade limitation in the antibacterial drug record F (d) Y;
the invention screens antibacterial drug records F (d) Y based on the antibacterial drug name, antibacterial drug grade, drug administration mode, drug administration purpose, doctor advising and doctor advising grades selected by a user, and specifically comprises the following steps:
s61, dividing the antibacterial drug record F (d) Y into an antibacterial drug record F (e) Y consistent with the antibacterial drug name selected by the user and an antibacterial drug record F (e) N inconsistent with the antibacterial drug name selection based on the antibacterial drug name;
the invention screens the antibacterial drug record F (d) Y based on the antibacterial drug name field in the antibacterial drug record. When the 'antibacterial drug name' field is consistent with the antibacterial drug name selected by the user, the field belongs to the antibacterial drug record F (e) _ Y, otherwise, the field belongs to the antibacterial drug record F (e) _ N.
For example, when the name of the antibacterial drug is not selected, for the above f (d) Y, f (e) Y is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-02 08:00:00 | 2019-01-02 08:30:00 | Is pumped into | Treatment of |
F (e) N is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
S62, dividing the antibacterial drug record F (e) Y into an antibacterial drug record F (f) Y consistent with the antibacterial drug grade selected by the user and an antibacterial drug record F (f) N inconsistent with the antibacterial drug grade selection based on the antibacterial drug grade;
the invention screens the antibacterial drug record F (e) Y based on the antibacterial drug grade field in the antibacterial drug record. When the antibacterial medicine grade field is consistent with the antibacterial medicine grade selected by the user, the antibacterial medicine record F (f) Y belongs to, otherwise, the antibacterial medicine record F (f) N belongs to.
For example, when no grade of antibacterial agent is selected, for f (e) Y, f (f) Y described above:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-02 08:00:00 | 2019-01-02 08:30:00 | Is pumped into | Treatment of |
F(f)_N：
| Patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
S63, dividing the antibacterial drug record F (f) Y into an antibacterial drug record F (g) Y which is consistent with the antibacterial drug administration mode selected by the user and an antibacterial drug record F (g) N which is not consistent with the antibacterial drug administration mode selection based on the administration mode;
the invention screens the antibacterial drug record F (f) Y based on the 'administration mode' field in the antibacterial drug record. When the 'administration mode' field is consistent with the administration mode selected by the user, the field belongs to the antibacterial drug record F (g) _ Y, otherwise, the field belongs to the antibacterial drug record F (g) _ N.
For example, when the mode of administration of the antibacterial agent is selected to be oral or intravenous injection, the above f (f) Y, f (g) Y are:
| patient's case number | Order division departmentChamber | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
F(g)_N：
| Patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-02 08:00:00 | 2019-01-02 08:30:00 | Is pumped into | Treatment of |
S64, dividing the antibacterial drug record F (g) Y into an antibacterial drug record F (h) Y for treatment and another antibacterial drug record F (h) N for other purposes based on the purposes of medication;
the record of the medication for prophylactic or other types of antimicrobial does not require monitoring of the indicator. Therefore, the invention screens the antibacterial drug record F (g) _ Y based on the "purpose of administration" field in the antibacterial drug record. When the field of the purpose of medication is treatment, the record belongs to the antibacterial record F (h) Y, otherwise, the record belongs to the antibacterial record F (h) N.
For F (g) Y, F (h) Y mentioned above:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
F(h)_N：
| Patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
S65, dividing the antibacterial drug record F (h) Y into an antibacterial drug record F (i) Y consistent with the antibacterial drug prescribing doctor selected by the user and an antibacterial drug record F (i) N not consistent with the antibacterial drug prescribing doctor selected by the antibacterial drug prescribing doctor based on the prescribing doctor;
the invention screens the antibacterial drug record F (h) Y based on the 'prescribing doctor' field in the antibacterial drug record. When the "prescriber" field is consistent with the antibacterial drug prescribing doctor selected by the user, the antibacterial drug record f (i) _ Y is included, otherwise, the antibacterial drug record f (i) _ N is included.
For the above-mentioned f (h) _ Y and non-antibacterial-drug-selecting prescribing physician, f (i) _ Y is:
F(i)_N：
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
S66, dividing the antibacterial medicine records F (i) _ Y into antibacterial medicine records F (j) _ Y which are consistent with the antibacterial medicine prescribing doctor grade selected by the user and antibacterial medicine records F (j) _ N which are not consistent with the antibacterial medicine prescribing doctor grade selection based on the prescribing doctor grade;
the invention screens the antibacterial drug record F (i) _ Y based on the "order doctor grade" field in the antibacterial drug record. And when the field of the 'doctor grading order' is consistent with the grade of the antibacterial medicine doctor selected by the user, the field belongs to the antibacterial medicine record F (j) _ Y, otherwise, the field belongs to the antibacterial medicine record F (j) _ N.
For the above f (i) _ Y and unselected antibacterial medication prescribing physician grade, f (j) _ Y is:
| patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
| 123456(1) | Neurology department | Cefuroxime | 2019-01-03 08:00:00 | 2019-01-06 08:30:00 | Is administered orally | Treatment of |
F(j)_N：
| Patient's case number | Prescribing department | Name of antibacterial drug | Starting time | End time | Mode of administration | Purpose of medication |
S7, outputting the number of the antibacterial agent users based on the number recorded in the antibacterial agent record F (j) _ Y.
After the above processing, the obtained antibacterial drug record f (j) _ Y is the record information of the systemic application of the antibacterial drug in the inpatient who is the monitoring target in the observation period. And outputting 0 if the record in the antibacterial medicine record F (j) Y is empty, and outputting the corresponding antibacterial medicine using number if the record is not empty. And when the specific report missing record needs to be output, outputting F (j) _ Y.
Since the antibacterial agent record f (j) _ Y includes one record, the number of users who output antibacterial agents is 1.
Example two
As shown in fig. 2, the present embodiment provides a system for automatically monitoring the number of users of an antibacterial agent in an observation period based on MapReduce and big data, including:
the receiving module is used for receiving the statistical time, departments, antibacterial medicine names, antibacterial medicine grades, administration modes, medication purposes, advices doctors and advices doctor grades selected by the user and determining the authority departments of the user according to the identity information of the user;
the invention is used for automatically monitoring the number of the antibacterial drug users in the observation period, so that the users are required to select the corresponding time period, namely the users select the corresponding statistical time, and the statistics and the search are carried out on the antibacterial drug users in the statistical time. In addition, for the antibacterial drug use in hospitals, users usually monitor the antibacterial drug use patients for specific departments, so that the invention also sets corresponding departments in addition to counting time. The hospital data has corresponding privacy, so that the statistics and monitoring of the hospital data in the invention require a user to acquire corresponding data authority. The data authority of the user is associated with the corresponding identity information, so that the authority department of the user is determined according to the identity information of the operation user, and the data in the authority department is counted and monitored.
In addition, the present invention also enables monitoring of patients using antimicrobial drugs for specific antimicrobial drug names, antimicrobial drug grades, modes of administration, purposes of medication, prescribing doctors, prescribing doctor grades, and the like. Therefore, according to the invention, the user can select the name of the antibacterial drug, the grade of the antibacterial drug, the drug administration mode, the drug purpose, the doctor for order advice and the grade of the doctor for order advice according to needs, so that the statistics and monitoring of the number of the antibacterial drug users according to needs are realized.
The collection and judgment module is used for collecting the patient's branch information B, judging whether the branch information B has time crossed with the statistical time and the branch records of departments belonging to the authority department and the selected department at the same time, if so, calling the parameter acquisition module, and if not, outputting the number of the antibacterial drug users as 0;
the branch information is used for recording the information of entering and leaving the department of each diagnosis and treatment department during the hospitalization period of the patient, and specifically comprises the patient case number, the department, the time of entering the department, the time of leaving the department and the like. For the branch information B, the branch information is firstly screened based on the statistical time, the authority department and the selected department, and only if the corresponding branch records exist after screening, the inpatients using the antibacterial drugs are possible to exist. Therefore, when there is no record of referral after screening, that is, there is no subject requirement satisfying the statistical time, the authority subject and the selection at the same time, the number of the output users of the antibacterial agent is 0, that is, there is no hospitalized patient using the antibacterial agent during the observation period. The invention screens the branch information in sequence based on the statistical time, the authority department and the selected department, therefore, the acquisition and judgment module specifically comprises:
the first division module of the information of the branch department, is used for gathering the information B of the branch department of the patient, divide the information B of the branch department into the information B (a) Y of the branch department that there is intersection with the said statistical time of time and information B (a) N of the branch department that the time does not intersect with the said statistical time;
the invention firstly screens the information B of the department transfer based on the statistical time, wherein the information B is the initial data set of the type of the department transfer of the corresponding patient. Y represents a qualified branch record, and N represents an unqualified branch record.
The department information second division module is used for dividing the department information B (a) _ Y into department information B (b) _ Y of which the department belongs to the authority department and department information B (b) _ N of which the department does not belong to the authority department based on the authority department;
because the authority of each user is different, the invention screens the branch information B (a) Y based on the authority department room, so that the data operated by the user is adaptive to the corresponding authority. Incidentally, the branch information b (b) _ Y is a branch record in a department belonging to the authority range managed by the user, and the branch information b (b) _ N is a branch record in a department not belonging to the authority range managed by the user.
The third division module of the department information is used for dividing the department information B (b) _ Y into the department information B (c) _ Y of which the department belongs to the selected department and the department information B (c) _ N of which the department does not belong to the selected department based on the selected department;
in the invention, the user can monitor the inpatients using the antibacterial drugs aiming at a specific department, therefore, the invention screens the department information B (b) _ Y based on the selected department, so that the statistical and screened data is adaptive to the department selected by the user independently, and the user can select the corresponding data as required to count the cases using the antibacterial drugs in a specific department.
And the judging module is used for judging whether the branch information B (c) and Y (Y) has a branch record, if so, the parameter obtaining module is called, and if not, the number of the users of the antibacterial drugs is 0.
Specifically, the invention judges according to the branch records B (c) _ Y, if the patient has records after the three steps, the operation is continued downwards, if the patient has no records, the operation is ended, and the result is 0.
The parameter acquisition module is used for acquiring hospitalization process information A of the patient, acquiring the hospitalization time and the discharge time of the patient based on the hospitalization process information, and taking the hospitalization time and the discharge time as the parameter g.MC2;
the hospitalization process information is used for integrally recording the hospitalization process of the patient, and specifically comprises the patient case number, the hospital admission department, the hospital admission time, the hospital discharge department and the hospital discharge time. The method comprises the steps of firstly obtaining the hospitalization process information A of a patient, and further obtaining the relevant information of the fields of the admission time and the discharge time, wherein the relevant information is jointly used as the parameter g.MC2.
The first division module of the antibacterial drug record is used for acquiring an antibacterial drug record F, and dividing the antibacterial drug order record F into an antibacterial drug record F (a) used during the hospitalization of the patient and an antibacterial drug record F (a) N not used during the hospitalization of the patient based on the parameter g.MC2;
the antibacterial drug record F is used for recording the advice information of the doctor on each patient, and specifically comprises the patient case number, the advice department, the antibacterial drug name, the starting time, the ending time, the antibacterial drug grade, the drug administration mode, the drug purpose, the doctor who orders and the doctor who orders. Patients who use the antibacterial drug during the normal observation period should have the start time and the end time of the antibacterial drug order record within the hospitalization time range of the patients, so the invention screens obviously wrong data according to the parameter g.MC2. Specifically, the invention filters out the antibacterial drug records F (a) and N which are not used in the hospitalization period of the patient based on the comparison between the fields of the start time and the end time in the antibacterial drug order records and the parameter g.MC2 of the hospitalization and discharge time to obtain the antibacterial drug records F (a) and Y which are used in the hospitalization period of the patient.
The first acquisition module of the antibacterial drug record is used for acquiring the antibacterial drug record F (d) Y which meets the limitations of the statistical time, the authority department and the selected department from the antibacterial drug record F (a) Y;
the invention firstly screens antibacterial drug records F (a) _ Y based on statistical time, authority departments and selected departments, and specifically comprises the following steps:
the second antibacterial drug record dividing module is used for dividing the antibacterial drug records F (a) and Y into antibacterial drug records F (b) and Y used in the statistical time period and antibacterial drug records F (b) and N not used in the statistical time period;
the invention firstly screens the antibacterial drug record F (a) Y based on the statistical time, and the statistical time range is t1-t 2; if the start time of the antibacterial drug record and the end time of the antibacterial drug record are both less than t1, or the start time of the antibacterial drug record and the end time of the antibacterial drug record are both greater than t2, or the start time of the antibacterial drug record is not less than t2, the antibacterial drug record is F (b) N which is not used in the statistical time period.
The third division module of the antibacterial drug record is used for dividing the antibacterial drug record F (b) _ Y into an antibacterial drug record F (c) _ Y in the range of the user authority department and an antibacterial drug record F (c) _ N out of the range based on the authority department;
because the authority of each user is different, the invention screens the antibacterial drug records F (b) _ Y based on the authority department, so that the data operated by the users are adaptive to the corresponding authority. The field of 'prescribing department' in the antibacterial drug record F (b) _ Y is compared with the authority department, and whether the field of 'prescribing department' belongs to the scope of the authority department is judged. The antibacterial drug record F (c) _ Y is an antibacterial drug record in a department belonging to the authority range managed by the user, and the antibacterial drug record F (c) _ N is an antibacterial drug record in a department not belonging to the authority range managed by the user.
The fourth antibacterial drug record dividing module is used for dividing the antibacterial drug records F (c) _ Y into antibacterial drug records F (d) _ Y in a range selected by a user and antibacterial drug records F (d) _ N not in the range selected by the user based on a selected department;
in the invention, the user can monitor the number of people using the antibacterial drugs aiming at a specific department, therefore, the invention screens the antibacterial drug records F (c) Y based on the selected department, so that the statistical and screened data are adaptive to the department selected by the user independently, the user can select the corresponding data as required, and the case of the number of people using the antibacterial drugs in the inpatients in a specific department is counted. And comparing the field of the 'prescribing department' in the antibacterial drug record with the selected department, and judging whether the field of the 'prescribing department' belongs to the range of the selected department.
The second acquisition module of the antibacterial drug record is used for acquiring the antibacterial drug record F (j) Y which meets the antibacterial drug name, antibacterial drug grade, administration mode, medication purpose, doctor advising and doctor advising grade limits in the antibacterial drug record F (d) Y;
the invention screens antibacterial drug records F (d) Y based on the antibacterial drug name, antibacterial drug grade, drug administration mode, drug administration purpose, doctor advising and doctor advising grades selected by a user, and specifically comprises the following steps:
the antibacterial drug record fifth dividing module is used for dividing the antibacterial drug record F (d) Y into an antibacterial drug record F (e) Y which is consistent with the antibacterial drug name selected by the user and an antibacterial drug record F (e) N which is not consistent with the antibacterial drug name selection based on the antibacterial drug name;
the invention screens the antibacterial drug record F (d) Y based on the antibacterial drug name field in the antibacterial drug record. When the 'antibacterial drug name' field is consistent with the antibacterial drug name selected by the user, the field belongs to the antibacterial drug record F (e) _ Y, otherwise, the field belongs to the antibacterial drug record F (e) _ N.
The antibacterial medicine record sixth dividing module is used for dividing the antibacterial medicine record F (e) Y into an antibacterial medicine record F (f) Y with the grade consistent with that of the antibacterial medicine selected by the user and an antibacterial medicine record F (f) N not conforming to the grade selection of the antibacterial medicine based on the grade of the antibacterial medicine;
the invention screens the antibacterial drug record F (e) Y based on the antibacterial drug grade field in the antibacterial drug record. When the antibacterial medicine grade field is consistent with the antibacterial medicine grade selected by the user, the antibacterial medicine record F (f) Y belongs to, otherwise, the antibacterial medicine record F (f) N belongs to.
The seventh division module of the antibacterial drug record is used for dividing the antibacterial drug record F (f) Y into an antibacterial drug record F (g) Y which is consistent with the administration mode of the antibacterial drug selected by the user and an antibacterial drug record F (g) N which is not consistent with the selection of the administration mode of the antibacterial drug based on the administration mode;
the invention screens the antibacterial drug record F (f) Y based on the 'administration mode' field in the antibacterial drug record. When the 'administration mode' field is consistent with the administration mode selected by the user, the field belongs to the antibacterial drug record F (g) _ Y, otherwise, the field belongs to the antibacterial drug record F (g) _ N.
The eighth division module of the antibacterial drug record is used for dividing the antibacterial drug record F (g) Y into an antibacterial drug record F (h) Y for treatment and another antibacterial drug record F (h) N for other purposes based on the purpose of medication;
the record of the medication for prophylactic or other types of antimicrobial does not require monitoring of the indicator. Therefore, the invention screens the antibacterial drug record F (g) _ Y based on the "purpose of administration" field in the antibacterial drug record. When the field of the purpose of medication is treatment, the record belongs to the antibacterial record F (h) Y, otherwise, the record belongs to the antibacterial record F (h) N.
The antibacterial medicine record ninth dividing module is used for dividing the antibacterial medicine record F (h) Y into an antibacterial medicine record F (i) Y consistent with the antibacterial medicine prescribing doctor selected by the user and an antibacterial medicine record F (i) N inconsistent with the antibacterial medicine prescribing doctor selection based on the prescribing doctor;
the invention screens the antibacterial drug record F (h) Y based on the 'prescribing doctor' field in the antibacterial drug record. When the "prescriber" field is consistent with the antibacterial drug prescribing doctor selected by the user, the antibacterial drug record f (i) _ Y is included, otherwise, the antibacterial drug record f (i) _ N is included.
The antibacterial medicine record tenth dividing module is used for dividing the antibacterial medicine record F (i) _ Y into an antibacterial medicine record F (j) _ Y which is consistent with the antibacterial medicine prescribing doctor grade selected by the user and an antibacterial medicine record F (j) _ N which is not consistent with the antibacterial medicine prescribing doctor grade selection based on the prescribing doctor grade;
the invention screens the antibacterial drug record F (i) _ Y based on the "order doctor grade" field in the antibacterial drug record. And when the field of the 'doctor grading order' is consistent with the grade of the antibacterial medicine doctor selected by the user, the field belongs to the antibacterial medicine record F (j) _ Y, otherwise, the field belongs to the antibacterial medicine record F (j) _ N.
And the output module is used for outputting the number of the antibacterial drug users based on the number recorded in the antibacterial drug record F (j) _ Y.
After the above processing, the obtained antibacterial drug record f (j) _ Y is the record information of the systemic application of the antibacterial drug in the inpatient who is the monitoring target in the observation period. And outputting 0 if the record in the antibacterial medicine record F (j) Y is empty, and outputting the corresponding antibacterial medicine using number if the record is not empty. And when the specific report missing record needs to be output, outputting F (j) _ Y.
Since the antibacterial agent record f (j) _ Y includes one record, the number of users who output antibacterial agents is 1.
Therefore, the method and the system for automatically monitoring the number of the antibacterial drug users in the observation period, which are provided by the invention, record the specific implementation mode of automatically monitoring the number of the antibacterial drug users in the observation period in detail, determine the authority departments of the users according to the identity information of the users by utilizing the information of the branch departments, the information of the hospitalization process, the antibacterial drug records, the selected statistical time, the departments, the names of the antibacterial drugs, the grades of the antibacterial drugs, the drug administration modes, the drug administration purposes, the doctor advices and the grades of the doctor advices, and judge each patient, thereby accurately counting the number of the antibacterial drug users in the observation period. The invention can automatically monitor the antibacterial drugs within a determined time period, and avoids the labor intensity of manual data statistics. Meanwhile, the administration advice in a certain period of time is managed, the prescribing condition of the antibacterial drugs in a specific time period is effectively evaluated, the use of the antibacterial drugs is effectively managed, and the problem that the antibacterial drugs are disorderly and disorderly used is avoided.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method for automatically monitoring the number of antibacterial drug users in an observation period based on MapReduce and big data is characterized by comprising the following steps:
s1, receiving statistical time, departments, antibacterial medicine names, antibacterial medicine grades, administration modes, medication purposes, doctor advices and doctor advices grades selected by the user, and determining the authority departments of the user according to the identity information of the user;
s2, collecting the information B of the patient in the branch department, judging whether the time of the information B intersects with the statistical time, and whether departments belong to the branch records of the authority department and the selected department at the same time, if yes, executing the step S3, and if not, outputting the number of the users of the antibacterial drugs to be 0;
s3, acquiring hospitalization process information A of the patient, and acquiring the hospitalization time and the discharge time of the patient based on the hospitalization process information, wherein the hospitalization time and the discharge time are jointly used as parameters g.MC2;
s4, collecting an antibacterial medication record F, dividing the antibacterial medication order record F into an antibacterial medication record F (a) Y used during patient hospitalization and an antibacterial medication record F (a) N not used during patient hospitalization based on the parameter g.mc2;
s5, obtaining an antibacterial drug record F (d) Y which meets the statistical time, the authority department and the selected department limit in the antibacterial drug record F (a) Y;
s6, obtaining an antibacterial drug record F (j) Y which meets the antibacterial drug name, antibacterial drug grade, administration mode, administration purpose, doctor advice and doctor grade limitation in the antibacterial drug record F (d) Y;
s7, outputting the number of the antibacterial agent users based on the number recorded in the antibacterial agent record F (j) _ Y.
2. The automated monitoring method of claim 1, wherein the referral information includes patient case number, department, time to enter, time to leave; the hospitalization process information comprises a patient case number, an admission department, admission time, a discharge department and discharge time; the antibacterial drug records comprise patient case numbers, advice departments, antibacterial drug names, starting times, ending times, antibacterial drug grades, drug administration modes, drug purposes, advice doctors and advice doctor grades.
3. The automatic monitoring method according to claim 2, wherein the step S2 specifically includes:
s21, collecting the patient' S information B of the branch department, dividing the information B of the branch department into information B (a) and Y of the branch department whose time is crossed with the statistical time and information B (a) and N of the branch department whose time is not crossed with the statistical time;
s22, dividing the branch information B (a) _ Y into branch information B (b) _ Y of which the department belongs to the authority department and branch information B (b) _ N of which the department does not belong to the authority department based on the authority department;
s23, dividing the branch information B (b) _ Y into branch information B (c) _ Y of which the department belongs to the selected department and branch information B (c) _ N of which the department does not belong to the selected department based on the selected department;
s24, judging whether the branch information B (c) and Y has branch records, if yes, executing step S3, and if not, outputting that the number of the antibacterial drugs is 0.
4. The automatic monitoring method according to claim 2, wherein the step S5 specifically includes:
s51, dividing the antibacterial drug record F (a) Y into an antibacterial drug record F (b) Y used in a statistical time period and an antibacterial drug record F (b) N not used in the statistical time period;
s52, dividing the antibacterial drug record F (b) _ Y into an antibacterial drug record F (c) _ Y in the range of the user authority department and an antibacterial drug record F (c) _ N out of the range based on the authority department;
s53, based on the selected department, dividing the antibacterial drug record F (c) _ Y into an antibacterial drug record F (d) _ Y in the range selected by the user and an antibacterial drug record F (d) _ N not in the range selected by the user.
5. The automatic monitoring method according to claim 2, wherein the step S6 specifically includes:
s61, dividing the antibacterial drug record F (d) Y into an antibacterial drug record F (e) Y consistent with the antibacterial drug name selected by the user and an antibacterial drug record F (e) N inconsistent with the antibacterial drug name selection based on the antibacterial drug name;
s62, dividing the antibacterial drug record F (e) Y into an antibacterial drug record F (f) Y consistent with the antibacterial drug grade selected by the user and an antibacterial drug record F (f) N inconsistent with the antibacterial drug grade selection based on the antibacterial drug grade;
s63, dividing the antibacterial drug record F (f) Y into an antibacterial drug record F (g) Y which is consistent with the antibacterial drug administration mode selected by the user and an antibacterial drug record F (g) N which is not consistent with the antibacterial drug administration mode selection based on the administration mode;
s64, dividing the antibacterial drug record F (g) Y into an antibacterial drug record F (h) Y for treatment and another antibacterial drug record F (h) N for other purposes based on the purposes of medication;
s65, dividing the antibacterial drug record F (h) Y into an antibacterial drug record F (i) Y consistent with the antibacterial drug prescribing doctor selected by the user and an antibacterial drug record F (i) N not consistent with the antibacterial drug prescribing doctor selected by the antibacterial drug prescribing doctor based on the prescribing doctor;
s66, dividing the antibacterial medicine records F (i) _ Y into antibacterial medicine records F (j) _ Y which are consistent with the antibacterial medicine prescribing doctor grade selected by the user and antibacterial medicine records F (j) _ N which are not consistent with the antibacterial medicine prescribing doctor grade selection based on the prescribing doctor grade.
6. A system for antibiotic medicine use person number automatic monitoring in observation period based on MapReduce and big data, its characterized in that includes:
the receiving module is used for receiving the statistical time, departments, antibacterial medicine names, antibacterial medicine grades, administration modes, medication purposes, advices doctors and advices doctor grades selected by the user and determining the authority departments of the user according to the identity information of the user;
the collection and judgment module is used for collecting the patient's branch information B, judging whether the branch information B has time crossed with the statistical time and the branch records of departments belonging to the authority department and the selected department at the same time, if so, calling the parameter acquisition module, and if not, outputting the number of the antibacterial drug users as 0;
the parameter acquisition module is used for acquiring hospitalization process information A of the patient, acquiring the hospitalization time and the discharge time of the patient based on the hospitalization process information, and taking the hospitalization time and the discharge time as the parameter g.MC2;
the first division module of the antibacterial drug record is used for acquiring an antibacterial drug record F, and dividing the antibacterial drug order record F into an antibacterial drug record F (a) used during the hospitalization of the patient and an antibacterial drug record F (a) N not used during the hospitalization of the patient based on the parameter g.MC2;
the first acquisition module of the antibacterial drug record is used for acquiring the antibacterial drug record F (d) Y which meets the limitations of the statistical time, the authority department and the selected department from the antibacterial drug record F (a) Y;
the second acquisition module of the antibacterial drug record is used for acquiring the antibacterial drug record F (j) Y which meets the antibacterial drug name, antibacterial drug grade, administration mode, medication purpose, doctor advising and doctor advising grade limits in the antibacterial drug record F (d) Y;
and the output module is used for outputting the number of the antibacterial drug users based on the number recorded in the antibacterial drug record F (j) _ Y.
7. The automated monitoring system of claim 6, wherein the referral information includes patient case number, department, time to enter, time to leave; the hospitalization process information comprises a patient case number, an admission department, admission time, a discharge department and discharge time; the antibacterial drug records comprise patient case numbers, advice departments, antibacterial drug names, starting times, ending times, antibacterial drug grades, drug administration modes, drug purposes, advice doctors and advice doctor grades.
8. The automatic monitoring system according to claim 7, wherein the collecting and determining module specifically comprises:
the first division module of the information of the branch department, is used for gathering the information B of the branch department of the patient, divide the information B of the branch department into the information B (a) Y of the branch department that there is intersection with the said statistical time of time and information B (a) N of the branch department that the time does not intersect with the said statistical time;
the department information second division module is used for dividing the department information B (a) _ Y into department information B (b) _ Y of which the department belongs to the authority department and department information B (b) _ N of which the department does not belong to the authority department based on the authority department;
the third division module of the department information is used for dividing the department information B (b) _ Y into the department information B (c) _ Y of which the department belongs to the selected department and the department information B (c) _ N of which the department does not belong to the selected department based on the selected department;
and the judging module is used for judging whether the branch information B (c) and Y (Y) has a branch record, if so, the parameter obtaining module is called, and if not, the number of the users of the antibacterial drugs is 0.
9. The automated monitoring system according to claim 7, wherein the first obtaining module of the antimicrobial records comprises:
the second antibacterial drug record dividing module is used for dividing the antibacterial drug records F (a) and Y into antibacterial drug records F (b) and Y used in the statistical time period and antibacterial drug records F (b) and N not used in the statistical time period;
the third division module of the antibacterial drug record is used for dividing the antibacterial drug record F (b) _ Y into an antibacterial drug record F (c) _ Y in the range of the user authority department and an antibacterial drug record F (c) _ N out of the range based on the authority department;
and the antibacterial medicine record fourth dividing module is used for dividing the antibacterial medicine record F (c) _ Y into an antibacterial medicine record F (d) _ Y in a range selected by the user and an antibacterial medicine record F (d) _ N not in the range selected by the user based on the selected department.
10. The automated monitoring system according to claim 7, wherein the antimicrobial recording second acquisition module specifically comprises:
the antibacterial drug record fifth dividing module is used for dividing the antibacterial drug record F (d) Y into an antibacterial drug record F (e) Y which is consistent with the antibacterial drug name selected by the user and an antibacterial drug record F (e) N which is not consistent with the antibacterial drug name selection based on the antibacterial drug name;
the antibacterial medicine record sixth dividing module is used for dividing the antibacterial medicine record F (e) Y into an antibacterial medicine record F (f) Y with the grade consistent with that of the antibacterial medicine selected by the user and an antibacterial medicine record F (f) N not conforming to the grade selection of the antibacterial medicine based on the grade of the antibacterial medicine;
the seventh division module of the antibacterial drug record is used for dividing the antibacterial drug record F (f) Y into an antibacterial drug record F (g) Y which is consistent with the administration mode of the antibacterial drug selected by the user and an antibacterial drug record F (g) N which is not consistent with the selection of the administration mode of the antibacterial drug based on the administration mode;
the eighth division module of the antibacterial drug record is used for dividing the antibacterial drug record F (g) Y into an antibacterial drug record F (h) Y for treatment and another antibacterial drug record F (h) N for other purposes based on the purpose of medication;
the antibacterial medicine record ninth dividing module is used for dividing the antibacterial medicine record F (h) Y into an antibacterial medicine record F (i) Y consistent with the antibacterial medicine prescribing doctor selected by the user and an antibacterial medicine record F (i) N inconsistent with the antibacterial medicine prescribing doctor selection based on the prescribing doctor;
and the antibacterial medicine record tenth dividing module is used for dividing the antibacterial medicine record F (i) _ Y into an antibacterial medicine record F (j) _ Y which is consistent with the antibacterial medicine prescribing doctor grade selected by the user and an antibacterial medicine record F (j) _ N which is not consistent with the antibacterial medicine prescribing doctor grade selection based on the prescribing doctor grade.
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