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Big Data technologies have already exceeded the scope of IT subdiscipline and began to penetrate deeper into different organizations life. And it is difficult to imagine the sector where data could be useless and unnecessary tool. Manufacturing, commerce, finances, education, hospitality, healthcare – this is a partial niche list where data can be used for effective operations. If we’re talking about such important life sector like medicine – Big Data usage is vitally important.

Big Data role in medicine is essential. As expectations in healthcare could become fatal it is critical to get all necessary data on an urgent basis. With the help of Big Data, it is possible to make shorten time for research and results reception that gives an opportunity to develop effective treatment or preventive therapy protocols. Also, doctors have a possibility to get, analyze and give treatment of their patients over a distance.

Let’s consider 3 main Big Data affected areas in healthcare:

1. Research assistance

Currently everybody generates a huge amount of data every day (metadata, text data, video data and location data). All this data is useful especially medical and healthcare data. There are hidden patterns, correlations and relationships. However, it is impossible for human to investigate petabytes of information for logical patterns extract. The life saver in this situation is AI that allows to process big data set, separate all unnecessary and find possible correlations. Big Data plays an essential role in cancer research helping to find answers for questions about cancer treatment, causes if occurrence and mitigating factors that were previously unknown.

2. Changes in insurance

With wearable technologies people can easy monitor heart rate, activity level and sleep cycles etc. This information could be valuable not only for someone but also for doctors, insurance companies and hospitals. Thus, the issue of choosing more suitable insurance in each case could be solved. An open question is an invasion of privacy and personal information usage by insurance companies. Big Data will change the industry, but what restrictions and regulations may be passed remain unseen.

3. Telehealth

Big Data and AI are created for each other and perfectly work together. Without AI it would be difficult to understand, analyze and organize big data. And without big data it would be difficult to develop training data that accelerate AI. Besides help in the doctors’ exploratory activity big data and Ai are used for telehealth applications. Such applications with personal AI assistant give people who have chronic illnesses an ability to get medical advisement and help every day. Also, with the help of these tools it is easier for doctors to process big data that simplify telediagnosis and examination.

Big data makes changes the health care system for better: doctors can detect patients’ condition exactly, get research results on an operational basis and analyze them. Such changes give an ability to continue with an effective treatment keeping to a minimum «guesses» and precious time commitment for them. But collaboration of data scientist and medical and research centers, hospitals and other healthcare companies allows to achieve such results qualitatively and rapidly.

You have a possibility to make the first step to organize the process of data extracting, analyzing and management contacting DataLabs team for advice.