Intelligent analysis and assessment system for disease management in hospital

Abstract

The invention discloses an intelligent analysis and assessment system for disease management in a hospital. A user inquiry terminal is used for in-hospital hospital lean management and contrast assessment among hospitals in terms of four dimensions including medical treatment quality, medical treatment efficiency, medical treatment benefit and satisfaction of patients according to assessment results of a hospital management quality assessment module. Various screening, free combination and 360-degree omni-directional dynamic contrast among different dimensions are realized, various screening, combination and omni-directional contrast in the same dimension are also realized, problems of hospital management, ranking and positioning are made clear by big data professional analysis of the hospital, hospital management policy supporting and hospital management contrast in different dimensions, comprehensive contrast and ranking in terms of ICD (international classification of diseases) diagnosis, diagnosis related grouping (DRG) diseases, clinical doctors, clinical departments and hospitals in a region are realized, advantages and disadvantages of contrasted objects in the industry are made clear, clear positioning can be realized, lean management of the hospital is promoted, and comprehensive competition capacity of the hospital is improved.

Description

technical field [0001] The invention relates to the fields of lean hospital quality management, medical big data analysis and hospital management decision support, in particular to an intelligent analysis and evaluation system for hospital disease management. Background technique [0002] Compared with foreign advanced hospital management, domestic hospital management is basically still in its infancy. It not only lacks high-quality management personnel, but also lacks scientific quality and efficiency evaluation standards, which leads to the aimless expansion of hospitals and the shortage of medical resources. Huge waste. 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 ...

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

[0006] The existing hospital management system cannot rely on professional medical big data analysis to assist hospital management decision-making support, let alone realize the comparison of medical management data between different dimensions or the same dimension in lean hospital management, and cannot clarify the ranking and positioning of hospital management, including The position and ranking of comparison objects among diseases, doctors, departments, and hospitals cannot compare the advantages and disadvantages of objects in industries, which is not conducive to focusing on the development of superior specialties and making up for weaker disciplines

In addition, for hospital management and regulatory agencies, it is impossible to customize hospitals, clinical disciplines, discharge departments, disease DRGs, discharge time periods, primary and secondary diagnoses or operations, patient age, gender, category, and aggregate patient satisfaction in the region. For dynamic query, it is impossible to conduct compound comparison query through different combinations of conditions across hospitals, and it is difficult to carry out scientific and effective management and supervision of hospitals

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