The advancement of concepts like big data are not new to the world of digitization. The importance and application of data analytics to break down complex tasks has been the researcher’s prime goal. It is no surprise that big data has now rooted its presence even in the healthcare sector. With the growing complexities, healthcare has evolved in terms of the facilities provided to the patients as well as the various possibilities of improving intensive care.
With the growing need to be able to ensure quicker treatments and enhanced therapies to heal patients, various steps are being taken. With the implementation of predictive analytics, complex data processing of biomedical data can simplify the process of treating patients.
What the data scientists and clinicians have to say?
Modern day data scientist and clinicians talk about the importance of big data in health and intensive care. Next-generation big data -enabled electronic systems that record medical data in ICUs and the entire hospital help the clinicians on proving better patient care and also assist in decision making for their treatment. These systems allow development of machine learning and artificial intelligence algorithms that simplify tasks for medical professionals.
Countries such as Australia and Singapore have adapted to this advancement by implementing use of such clinical big data systems in their intensive care units. Health care units are now more advanced and developed with the installation of these data systems.
Big data for cancer care
Doctors have always wished for an intelligent data-system that could integrate the patient data and help comprehend predictive decision making to treat the cancer patients. Recent trends saw the grant received by University of Cambridge for addressing this problem. Their aim is to implement the concepts of machine learning and artificial intelligence into a system that would be capable of transforming the insights received from cancer patient data into approaches that help in clinical decision making. This revolutionary idea would simplify the process of treatment with the help of predictive analytics, help doctors to solve complex cases in the future by studying each patient thoroughly with the help of iterative analysis and enhance healthcare.
How big data can cater to ICU complexities?
The intensive care units are responsible for providing accurate, timely, precise and specialized treatments to the patients suffering from life threatening illnesses. However, doctors are often entangled in the complex strings of biomedical data that is generated by the equipment. Therefore, with the rightly implementation of big data analytics, achieving an integrated setup of the entire data in a comprehensive manner will add into the accuracy and efficiency of medical procedures.
By combining the intelligence of medical expertise and efficiency and the big data analytics technology, medical professionals can achieve considerable improved outcomes that could help provide better treatments for patients.