Big Data in Health: Why is Data Governance essential?

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Learn how big data in healthcare impacts the way they diagnose and care and why data management and governance is critical
At this point, no one questions the importance of data in organizations and that managing it to result in relevant information is critical. The health industry is no exception and this was demonstrated after the Covid-19 pandemic, where data analysis and management was and continues to be essential to try to understand how the virus behaves and reduce infections.


The first thing to know is that the amount of data is not the only relevant thing, but the most important thing, as we said, is the information that is derived from it. This information, properly organized, allows to answer many questions that companies and institutions are asking themselves and in this way they can identify and understand problems that fantuan database more quickly. As in the case of Sars-Cov2 to determine close contacts and isolation measures for each case.

Therefore, analyzing data allows organizations to reduce their costs, make quick decisions and identify new opportunities, products or services. Many health institutions have digitized rapidly, having a gold mine at their disposal, which in most cases is still untapped. Let's see why starting with good data management and governance is the first step.



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Data governance
The term refers to security and protection, as well as the organizational standards that all data being worked with must follow.

On the one hand, users want to access them easily, but on the other hand, they must be aware that this entails a risk when it comes to their use. That is why it is necessary to implement mechanisms for creating systems so that users can trust their data and, in turn, can create them responsibly and with quality, as well as use them ethically and safely with prior authorization.

In order to be able to access them easily in all searches, they must be defined, catalogued and tagged. This step should not be forgotten, as it is essential for governance.


Data governance objectives
It is important to note that data governance seeks to achieve three fundamental objectives: improve efficiency, create a system of accountability and establish a standard system that is used with both providers and patients:

Improve efficiency: By cross-referencing data, questions can be answered more quickly that would have taken much longer to answer without Big Data.

Create a system of accountability: in this system, each user can ensure that their data is protected and of quality.

Establish a standardized system for patients and providers: This ensures that everyone manages data in the same way, preventing it from being lost through different procedures. Likewise, with standardization, there is a lower probability of data being hacked.