Population health big data analysis system and method

Abstract

The invention discloses a population health big data analysis system and method. The system includes a mobile scanning module, a detection mechanism module, a background terminal module and a cloud server module; the background terminal module is wirelessly connected with the mobile scanning module; the detection mechanism module is provided with a power source module; and the mobile scanning module is electrically connected with the detection mechanism module. According to the population health big data analysis system and method of the invention, nursing levels can be assessed through the big data analysis technology, the accuracy of the assessment of the nursing levels of long-term nursing insurance can be improved, and the cost of assessment can be reduced; the big data technology is adopted to assess the quality of nursing service, and multi-dimensional analysis can profile relevant service agencies and service personnel, and therefore, a service process can be further optimized,and the quality of the service can be improved; and with the collected data, long-term nursing insurance government departments can be assisted in policy formulation, such as age delineation, scoringstandard setting, and nursing service item scope defining; and the use and balances of funds can be predicted through the big data, and therefore, the too much expenditures, or even the emptying of the funds can be prevented.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a population health big data analysis system and a method thereof. Background technique [0002] At present, in the long-term care insurance pilot programs in various places, the data sources that all parties rely on for decision-making are often population data, disease type data, lack of specific nursing project data, and there is no unified evaluation standard for long-term care insurance and fund payment standards. All regions are exploring . In order to better assist long-term care insurance in decision-making, it is necessary to integrate the concept of data analysis into the system at the beginning of design. However, there is a lack of data on key nursing standard assessments in long-term care insurance, nursing service quality assessment and return visits, nursing expenses, nursing staffing, and the scope of nursing projects. [0003] Based on the above pain points in th...

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Problems solved by technology

[0004] For the problems in related technologies, no effective solutions have been proposed yet

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