Inpatient medical management quality assessment method

Abstract

The invention discloses an inpatient medical management quality assessment method which screens historical data and builds models, including authenticating and clearing data, DRG(Diagnosis Related Group)and model classifying, classification and collection of ICD complication and other variables during hospital admission, the statistic tests and screening of hospital admission and complication variables, the building of statistic models and quality assessment. The method also screens current data and calculates a predicated value, including predicated value of risk when a patient is sent in hospital, to realize risk predictions on the mortality rate of each patient, the days spent in hospital and the medical cost in hospital as well. According to the invention, the method effectively converts medical data to find solutions so as to achieve the values of data based on the analysis of big data, the mathematic statistical method and machine learning method. The method also makes medical data comparable. The method not only performs assessment to medical quality among diseases but also realizes proper assessment to managements of treatment in a hospital between doctors, between different departments and between different patients.

Description

technical field [0001] The invention relates to the field of lean hospital quality management, medical big data analysis and hospital management decision support, and in particular to a method for evaluating the quality of inpatient medical management. Background technique [0002] In recent years, due to the rapid development of IT technology in domestic hospitals, the accumulation of raw data of patients and diseases has been preliminarily completed. Most of the data can only be stored in the hospital's data warehouse, wasting resources. If we can fully learn from the US government's successful model and excellent methodology of hospital management, and then make localized improvements, it will not only allow domestic medical management agencies to increase effective monitoring methods and means, but also promote hospitals to accelerate the transition from extensive to The pace of refined management model transformation. [0003] Recently, the government actively advocat...

AI Technical Summary

Problems solved by technology

However, the calculation method based on CMI has its inherent deficiencies in evaluating medical quality, operating efficiency, and rational drug use. First, this model does not take into account the characteristics of the disease itself and other clinically relevant factors, and does not conform to medical laws; Secondly, the inflated cost of treatment itself caused by over-examination and treatment will also increase the instability of the model, resulting in biased judgment results

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