The subject of Big Data is something that is gaining more and more space and notoriety in organizations, including supplementary healthcare companies.

And that's why we're not exaggerating when we say: Big Data is the new oil!

Continue reading and we’ll explain why!

However, if you don't know this expression yet, Big Data is a term used to refer to a large volume of data generated at all times and that needs to be processed and stored.

Therefore, tools are used to manage, analyze and transform this information about behaviors and trends into knowledge for everyone.

Here on our blog we have already talked about this subject, we brought the main Challenges faced in implementing Big Data and also, what are the main applications within health plan operators.

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Big Data can minimize the effects of an epidemic!

To provide a little background on Big Data, let’s talk about Ebola epidemic experienced in West Africa in 2014.

The use of Big Data helped the country in its search to control the disease outbreak.

Using cell phone movement data, a company did all the epidemiological mapping and was able to detail the regional migrations of the areas where the disease had an outbreak.

Thus, transit routes could be blocked so that the movement of infected people was avoided, along with the creation of specialized control centers.

Since then, the power to use Big Data has taken on more and more shape.

Effects of the digital transformation of the pandemic on Big Data

With the new reality faced in 2020 and 2021 due to the Covid-19 pandemic, one of the sectors of companies that needed to adjust to the entire digital transformation experienced were operators.

One of these changes was the implementation and increasing use of consultations via applications in which beneficiaries were able to solve health problems and receive care without having to leave home.

Therefore, the volume of data generated increased exponentially as technology managed to empower and strengthen the construction of algorithms that can compare images and generate information at high speed, support disease diagnosis, recommend treatment plans, patient management and many other purposes.

These advances benefit operators and enable this market to find ways to reduce their costs and continually improve their actions and services to beneficiaries.

In other words, as we have already mentioned here on our blog, with adequate use of data science, operators can make decisions with greater assertiveness and based on good inputs.

Let's talk below about how your operator can take care of the data that is generated and polish this gold mine that you have.

Data processing must be compatible with LGPD standards

The application of Big Data in your operator must be within what is required by the General Data Protection Law (LGPD).

This law was created to protect data that is collected, stored and used by institutions, regardless of the sector.

It requires companies, including operators, to be transparent with the data handling process that collects, the way they are manipulated and that patients and users are consented at all times.

We talk about LGPD and how operators can adapt to them in this post.

Thus, data mapping, identifying input forms, purposes, policies and procedures, must be adapted to this law to guarantee the viability of technological evolution within the operator, making it a huge challenge for managers to get the best of both worlds. (benefits that technology generates versus regulation of laws).

Mine your data with caution

Collecting data from beneficiaries, recording them in the tools and generating analyzes based on the information obtained requires care so that the operator can obtain the right conclusions on the analysed.

Imagine that, for example, in a country as diverse and mixed as Brazil, each individual will generate an infinite range of data, every day.

These individuals are mirrored across the regions of Brazil, amidst the inequalities and specificities of each one, right?

This means that the classification and prioritization of information must be done in such a way that the weights and variations of each analysis can be taken into account, using all technology in favor of these studies.

Do good data mining

We talk a little about the requirements for working with data and the contexts that must be taken into account when classifying operator data.

Now let's highlight the importance of know how to read and interpret what your data means.

Think about the following: Big Data will generate a huge amount of data, and not all of them will be well structured.

So, your duty is to get transform this data into useful information for your company and which, in turn, will turn knowledge into the company.

This way, this data will be able to generate value for the business through interpretation and subsequent use.

This process of collecting, manipulating, evaluating and exploring large amounts of information in search of patterns and correlations is fundamental to good handling of Big Data.

This is what allows operators to obtain the benefits of Big Bata, such as predicting results, detecting relationships, anticipating future problems, making informed decisions, reducing costs and also minimizing the risks inherent in the area of supplementary healthcare.

An audit system that uses artificial intelligence can also help you!

I'm sure you no longer have any doubts that technology is one of the main allies in your operator's management.

Using Big Data in healthcare can generate advantages for your company and help improve the quality of the service that your health plan offers to its beneficiaries.

It is a system for managing care costs in your operator may be the solution for you to take the first or one more step in inserting the technology in your operator.

Contact, talk to a specialist to learn about SAUDI’s tailored solutions and the benefits that will generate better results for your health plan operator!