Role of Data Science in Healthcare Sector
There is a important role of Data Science in Healthcare Sector . According to a study, the data generated by every human body is 2 terabytes per day. This data includes activities of the brain, stress level, heart rate, sugar level, and many more.
To handle such a large amount of data, now, we have more advanced technologies and one of them data science. It helps monitor patients’ health using recorded data.
With the help of the application of Data Science in healthcare, it has now become possible to detect the symptoms of a disease at a very early stage.
Also, with the advent of various innovative tools and technologies, doctors are able to monitor patients’ conditions from remote locations.
In earlier days, doctors and hospital management were not able to handle multiple numbers of patients at the same time. And due to the lack of proper treatment, the patients’ conditions used to get worse.
Then, hospital management can send their junior doctors, assistants, or nurses to these patients’ homes.
Hospitals can further install various equipment and devices for the diagnosis of these patients. These devices built on top of Data Science are capable of collecting data from the patients such as their heart rate, blood pressure, body temperature, etc
Doctors get this real-time data of the patients’ health through updates and notifications in mobile applications.
They can then diagnose the conditions and assist the junior doctors or nurses to give specific treatments to the patients at home. This is how Data Science helps in caring for patients using technology.
Benefits of Data Science in Healthcare
Data Science helps in advancing healthcare facilities and processes. It helps boost productivity in diagnosis and treatment and enhances the workflow of healthcare systems. The ultimate goals of the healthcare system are as follows:
To ease the workflow of the healthcare system
To reduce the risk of treatment failure
To provide proper treatment on time
To avoid unnecessary emergencies due to the non-availability of doctors
To reduce the waiting time of patients
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