Medical insurance data-based clinical pathway analysis method

An analysis method and clinical path technology, applied in the field of medical insurance data analysis, can solve the problem of poor statistical analysis ability of hospital management system, and achieve the effect of improving generation efficiency and accuracy, accurate and effective follow-up analysis, and strong concentration

Active Publication Date: 2018-01-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
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Problems solved by technology

[0004] In order to solve the above technical problems, the present invention provides a clinical path analysis method based on medical insurance data to solve the problem that the statistical analysis ability of the existing hospital management system is not strong

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  • Medical insurance data-based clinical pathway analysis method
  • Medical insurance data-based clinical pathway analysis method

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Embodiment Construction

[0026] In order to make the purpose, technical solutions and advantages of the application clearer, the application will be further described in detail in conjunction with the accompanying drawings and specific embodiments below. The schematic embodiments of the application and their descriptions are used to explain the application and do not constitute Undue limitation of this application.

[0027] The medical insurance data used in this embodiment includes the first page table data of inpatient medical records, prescription list, disease type information table, and hospital information table. Use the Sqoop tool to migrate the hospital medical insurance data to the Hadoop distributed cluster platform and use the distributed file system HDFS to store the hospital medical insurance data.

[0028] The first page table data of inpatient medical records stores the overall data of a patient’s hospitalization, including visit number, used fee, admission date, admission method, admis...

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Abstract

The present invention discloses a medical insurance data-based clinical pathway analysis method. The method comprises a medical insurance data cleaning step and a medical insurance data analyzing step. During the medical insurance data cleaning step, invalid hospitalization data and invalid prescription detail data are removed. Meanwhile, data are clustered based on identical disease entity numbers and identical hospital level numbers, so that a plurality of analysis units are established. During the medical insurance data analyzing step, medical insurance analysis items in the analysis unitsare subjected to empirical range analysis. The empirical range analysis is in the form of grouped empirical range analysis or non-grouped empirical range analysis, wherein the sample most aggregated distribution range of medical insurance analysis items is calculated. When the frequency sum of the most aggregated distribution range is larger than a preset frequency, the empirical range of the medical insurance analysis items is obtained. According to the invention, medical insurance data are cleaned and analyzed, and then the clinical pathway analysis is conducted based on medical insurance big data. The accuracy and the scientificity of the clinical pathway analysis are improved.

Description

technical field [0001] The invention belongs to the field of computer data analysis and the field of medical services, and in particular relates to an analysis method of medical insurance data (hereinafter referred to as medical insurance data). Background technique [0002] With the development of medicine, aging population and increasing medical needs, it is urgent to improve medical quality and work efficiency while controlling medical costs and reducing medical expenses. At present, as a management tool to ensure medical quality, control medical cost and optimize medical service process, Clinical Pathway (CP) has been widely used in hospital management in many countries. [0003] Clinical pathway refers to a standardized care plan for a specific disease or operation jointly formulated by a group of multidisciplinary professionals (including physicians, clinical medical experts, nurses, and hospital administrators) in a medical and health institution. In essence, the cli...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H40/20
Inventor 李晓瑜黄焕中王航李超龙郑德生
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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