Data Science in Healthcare: Applications That Are Changing the Health of the Masses


Data is everywhere and it would be foolish not to use it for the betterment of various sectors and the general public. This is the reason why the medicine and the healthcare field are using big data as an effective tool to gather data and analyze the same. It can help improve the existing technologies and also will help in developing new ones, prevent any kind of epidemic, lower the costs of diagnosis and treatments, etc.

Big data will help the doctors to make informed decisions at a better pace making less mistakes. Data will also help in getting a bigger picture of the population as a whole by identifying the larger problems which can be a problem after 20 years.

Some of the major uses of data science in the field of healthcare are discussed below:


Deciding the proper number of doctors, nurses and other staff in various shifts are big decisions as overstaffing means extra costs and understaffing means fewer staff to treat the patients. With data science and various machine learning techniques, one can find the patterns in hospital admissions in the last few years and can also get predictions regarding future admissions. This will help the management in making correct shift staffing decisions.


Another use of data science is wearables which are certain equipment that can be worn by the patients. These instruments will be capable of collecting medical data about the person wearing the same and this will be collected in the database which can be helpful for comparing various socioeconomic factors and health in general. It will also be helpful for the concerned person’s doctors to be alerted when the health deteriorates.

Predictive analysis

Doctors need to diagnose health problems, and having pre-existing data can be very helpful. Big data techniques can help doctors predict the disease within a very small period, as this can provide the patients with the timely treatment. Also, the electronic health records help a lot in certain complex cases which requires medical history.

Web medicine

With various digital devices now into play, the telemedicine approach has become much stronger and more improved in the last few years. Now patients can talk to and consult with doctors from home using various means like video conferences, chatbots, etc. Here data science can help in the diagnosis of the diseases easily, even if the patient is not admitted to the hospital. Also, by using the big data tools, technologies are being developed which can perform robotic surgeries which require a lot of data delivery to the software in real-time.


Data science is also helpful in making sure that the patients and the hospitals do not go through any kind of forgery. Using streamlined data, inconsistencies and frauds can be recognized much earlier, thus preventing loss of money and other resources. Big data tools will help in correcting the insurance procedures by preventing faulty and fraudulent insurance claims and also will make sure that patients are compensated while the hospitals are paid in time.


Source by Shalini M

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