Management method and system for number of cases of operation prevention medicine based on MapReduce and big data
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A management method and big data technology, which can be used in the mining of medical data, drugs or prescriptions, and patient-specific data, etc., and can solve the problems of complex statistical processing of surgical cases
Pending Publication Date: 2021-03-23
杭州杏林信息科技有限公司
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At the same time, through the automatic statistics of the number of surgical case
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Embodiment 1
[0087] Such as Figure 1-7 As shown, the present embodiment proposes a management method based on MapReduce and big data for the number of surgical preventive medication cases, including the following steps:
[0088]S1. Obtain hospitalization process information A, antibacterial drug order records F, surgical information G, selected statistical time, surgical department, incision level, surgical classification, surgeon, anesthesia method, operation duration, ASA score, operation name, healing grade, Surgical location, NNIS score, elective emergency department, operating room, the number of operations the patient is admitted to the hospital, the purpose of medication, the method of administration, the level of antibiotics, and the user's authority department determined according to the user's identity information; the number of surgical preventive medication cases refers to the determined The number of surgical cases in which antibiotics were used prophylactically among inpatie...
Embodiment 2
[0312] This embodiment proposes a management system based on MapReduce and big data for the number of surgical preventive medication cases, including:
[0313] The acquisition module is used to acquire hospitalization process information A, antimicrobial drug order records F, surgical information G, selected statistical time, surgical department, incision level, surgical classification, surgeon, anesthesia method, operation duration, ASA score, operation name, Healing level, surgical location, NNIS score, elective emergency, operating room, the number of operations the patient is admitted to the hospital, purpose of medication, method of administration, antibiotic grade, and the authority department to determine the user based on the user's identity information;
[0314] The first collection module is used to obtain the admission time and discharge time of the patient based on the hospitalization process information A, which together serve as the parameter g.MC2;
[0315] The ...
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Abstract
The invention provides a MapReduce and big data-based operation prevention medicine case number management method and a MapReduce and big data-based operation prevention medicine case number management system. The method comprises the steps: based on a MapReduce framework, employing the parallel computing capability of a machine under a distributed system, dividing millions and tens of millions ofinpatients who are beyond the memory and storage limit of a server and are used for calculating the case frequency of infection of multi-drug-resistant bacteria in a hospital into tens of millions and billions of small tasks, simultaneously executing the small tasks on a plurality of machines, and summarizing intermediate output results of the small tasks to generate a final result. Mass parallelcomputing is performed on big data including millions, tens of millions and hundred millions of hospitalities which cannot be avoided during national-level and provincial-level network monitoring according to various calibers such as provincial and municipal areas, hospital levels, hospital beds, comprehensive and specialized departments, justice and camp; effective guidance can be provided for treatment and management of antibacterial drugs of inpatients. Meanwhile, through automatic statistics of the operation case number, the problem that manual operation case number statistics processingis complex is avoided.
Description
technical field [0001] The present invention belongs to the technical field of managing surgical prophylactic medication, and in particular relates to a management method and system for surgical prophylactic medication cases based on MapReduce and big data, especially for surgical prophylactic application of antimicrobial drugs among hospitalized patients within a certain period of time The management method and system for the number of surgical cases are especially suitable for scenarios where the amount of patient data to be processed far exceeds the storage (disk) and computing power (memory, CPU) of a server and cannot be split and assigned tasks manually . Background technique [0002] Antibacterial drugs generally refer to drugs with bactericidal or bacteriostatic activity. The invention and application of antibacterial drugs have brought convenience to the treatment of many serious bacterial infectious diseases and effectively reduced the mortality of various infectio...
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