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How Genomics and Big Data Are Leading the Personalized Healthcare Revolution

The healthcare industry is on the edge of a revolution. Thanks to different advances in technology, including the IoT, big data, and genomics, doctors and healthcare professionals are going to be able to better treat individual patients. It’s possible now to both monitor the lifestyles of patients and have a better understanding of their genetics and what extra health risks they have.

What is Genomics?

Genomics is the study and mapping of genomes and the DNA within. Every person has a unique set of genomes that makes up who they are. By mapping out a person’s genome, doctors and scientists can get a better understanding of why they have certain physical traits and find out what genetics they got from each parent.

By combining genomics with big data sources, the field is now able to do amazing things. Since every person’s genomes are unique, the data isn’t very useful for diagnosing and improvement without being able to compare it to others. With ever-growing databases of genomes though, healthcare data scientists can compare a person’s genomes to millions of others and find patterns in their genetics and what implications specific genes have for their health.

Predictive Healthcare

By using genomics and big data together, it’s possible for doctors to analyze your genetic makeup and identify potential health issues. Thanks to big data analysis, doctors can identify what genomes might contribute to heart disease, diabetes, and more.

Once you have your genomes analyzed, doctors can detail then out what kind of risks your genetics pose to you and put you on a preventative plan. That can help decrease the likelihood of the disease happening or at least help the patient be aware of its possibility. That means that if the disease does come to pass, doctors can identify it early and treat it quickly.

Identifying What Will Work for Your Body

Genes are the map to your body, and by analyzing them, it’s possible to understand how a person’s specific body works. This can include what allergies a person might have, how their body reacts to new medicines, and even what kinds of treatment will be most effective.

Genomics can take a lot of the guesswork out of healthcare and give doctors the information necessary to do the best treatment for their patients. That can include picking the medicine that will work the best or have the least amount of side effects, or if the medicine is even the best treatment option.

As the amount of genome research and gathering is done, the less experimentation will be needed in treatment. Instead of switching between medications to try and find the best fit for a patient, they can find the right one on the first or second try.

The Issue of Privacy

A major issue within big data with genomics is the privacy of patients. When adding a person’s genes to a massive database, it creates the issue of what kind of people can look at that database and what personal information is contained within.

For any genome database to be of any use, it requires being able to identify what genes belong to each person. If they are creating a history of genes with a specific disease, that means identifying specific people with certain genes and whether they have that disease or not.

Since personal information must be connected to genomes, that means protections need to be put in place to make sure that information isn’t available to anybody. Only specific people, such as doctors or healthcare professionals, should be able to access this information and only when it is necessary. That also means how they access the data needs to be secured too, requiring extra security on computers and more security policies in place.

Including Big Data Scientists in Healthcare

As big data becomes a bigger part of both genomics and other parts of healthcare, more healthcare professionals will need to be trained in reading that data. That means organizations and hospitals will need to hire and train data scientists to make sense of the data they are gathering.

Focusing on What’s Best for Each Patient

Patient-centered healthcare means not just treating diseases with broad solutions, but finding the exact plan needed for each person. By combining genomics with things like big data science and the IoT, doctors can become more effective in helping their patients. Doctors will be able to identify potential problems earlier, make plans that will work for them, and then track their progress using IoT devices constantly.

Only by accepting and supporting new technology can healthcare improve. If you are looking to do your part to help out, consider investing in a genomic project like those that take your DNA and tell you about your ancestry. Often with these DNA ancestry projects, the data collected is added to databases to further advance genomic research.

Ben Allen is a digital marketer who believes in helping small businesses succeed. When he isn't producing content, he goes on adventures to magical lands with his two daughters, explores this journey called life with his wife, and tries to find the best pizza he can.

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