If you want to figure out the prime empirical evidence of benefits that big data has brought, there is no greater example than Healthcare.
Be one of the 35,000 people in Foundation Medicine’s database, Corey Wood, a 22-year-old woman who just found out that she had stage 4 non-small-cell lung cancer.
- Read more: Data trend 2016
Fortunately, by analyzing her tumour with a data analysis method, the experts in Foundation Medicine discovered a flaw in her gene that could be treated with a drug called Xalcori. Within three months of using a drug, her cancer was nearly gone. Thanks to big data, Foundation Medicine and many other cancer researchers have saved a lot of patients.
This is just one of many examples of how big data helps create better healthcare industry. Hospitals and clinics can make their services more efficient by applying data analytics in patient’s data management or medication system.
Besides this, rather than conducting expensive experiments to make new medicines or to create alternative treatment methods, using computer simulations based on data analytics would get faster and more accurate results. Better yet, the greater potential of big data is the genetic analysis that enables to identify genetic factors in just a few hours instead of many weeks in previous time. Here are some specific ways that show how big data benefits the healthcare industry.
Save time & money
Going to hospital costs a great deal of time and money. You have to make an appointment in advance but sometimes still wait for hours to see doctors, and then stand in line to get your medicines. By utilizing data analytic, patients’ last health records can be used to reduce the diagnostic process and avoid cost-intensive treatments that they did not work in history. For hospitals, data and health records can help them predict which patients will require treatment and when they would require it. It is also easier to schedule appointments or arrange patient accommodation.
With the same data set of a patient, many doctors and researchers from different locations can access and propose treatment methods, thus the outcomes can be improved. Big data helps doctors monitor negative results during treatment by predicting risks that might occur based on data of similar treatments. In addition, patients in the big data era could have a chance to enjoy personalized medicine. Researchers will tailor medicines to a person’s unique genetic makeup by integrating all information related to the genetic blueprint, lifestyle and environment.
With the introduction of wearable devices and healthcare applications, people now can have a clear picture of their own health and live a healthier lifestyle. To be more specific, smartphones and some wearable devices enable users to measure how far you walk in a day or plan a healthy diet for you.
- Read more: Wearable Devices in Healthcare and Wellness
R&D activities now are much more effective and cost-saving. The increase in data-based computer simulations provides opportunities to create new therapies and approaches to healthcare delivery. To deal with serious diseases, including heart disease, asthma, and many forms of cancer, identifying the particular genes that are associated with these diseases is really important to find the appropriate treatment method. However, to conduct the study, researchers have to work with large data of patients which requires great efforts and time. With data analysis methods such as Factored Spectrally Transformed Linear Mixed Model, researchers now can data for thousands of people in just a few hours.
Jio Health, a Smart Solution in Healthcare Management developed by Savvycom is a great example of how applying technology in the healthcare industry. Taking advantages of Big Data, Jio Health is expected to serve up to millions of user and that would be your own health expert who can give you a complete picture of your health, from weight to heart rate. With Jio, your data is totally in control and you are able to share with whom you want or access to others’.
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