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ABSTRACT
Health Care data management system is long run process in Globalized hospitals that provides various types of therapies for a particular disease.  
It is the system to maintain Centralized Global data base system that provides health care data in the form of Normalization structure and Cluster the data to help various types of prediction Analysis. As well as it helps to identify deviation of therapies and the physician using ANOVA, which is a powerful statistical method for making simultaneous comparisons between two or more means based on the analysis of various groups. It is a statistical method that yields values that can be tested to determine whether a significant relation exists between variables.
And also it helps to identify the relation between the various therapies and physicians using CORRELATION, where correlation and dependence are a broad class of statistical relationships between two or more random variables or observed data values respectively.
As per physician requirement the above system develops an analytical platform to specify various types of reports. The reports are visualized in the form of tabular, Multi Dimensional and plots format, which can also be viewed in third party files (RTF, HTML) over the Web.
SOFTWARE REQUIREMENTS
SAS
Data files : Excel
Environment : Windows-XP
HARDWARE REQUIREMENTS
1 GB RAM
50 GB Hard Disk
EXISTING SYSTEM WORK
Data collection from various Hospitals and subject response.
Create Centralized Database Maintain Health care data.
Develop Normalization Structure to maintain data into standard format.
PROPOSED SYSTEM WORK
Testing Deviation and relation between various parameters in Health Care data.
Split parameters into various categories.
Define Groups for testing deviation, relation between Treatments and Therapy.
Run Statistical operations and Generates reports in third party files.
Analysis & Reporting Flow
CONCLUSION
Here I am conclude that is there exist deviation and relation between the therapies for a particular disease .
Also give the reports in the form of tabular, multidimensional and plots format.