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Introduction

In order for health programs to create efficiency and effective levels of health, large volumes of data must be availability not only on health conditions but also social conditions and  economical conditions. The complexity of data makes it impossible to use systems that are in place today. A new solution must be offered. 

Although it has been stated that the quality of data can only be improved by improving the accuracy of diagnosis and improving the accuracy of the codification of causes of death, this is not enough. It is well and good that we know what a person died from, but it is even better if we had the data to tell us why someone died and what we can do to minimize the risk in the future

Since the causes of mortality are so diverse, a system must be in place that can combine this data to determine relationships and patterns.

Without a clear understanding of the causes of the major contributors to early death, interventions cannot be developed. 

Based on the grouping of causes of death by the ICD-10 a system must be implemented that can collect data on the following:

• Transmissible disease
• Perinatal conditions
• Neoplasms
• Diseases of the circulatory system
• Accidents, poisoning and violence
• Other diseases

Although grouped separately and usually analyzed separately, They are Related events and should be studied as a complete system. 

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