As you look into the healthcare industry and understand it deeply, you will know the infinite challenges India faces. Most of which are not new to us. From shortage of beds and medical machines — that are fundamentally forcing the patients to “wait” outside the hospitals for several hours (or even days in villages) — to the severe shortage of qualified doctors and health professionals.
In fact, every year only 300 cardiologists and 750 radiologists are entering the medical field in India. And even though the number is increasing every year, so is the population of this country.
The imbalance is very clear.
And to solve this ever-growing problem, healthcare companies are embracing technology. More specifically, they are embracing big data.
And with the emerging technology, health professionals, like doctors, can take patients’ data and feed it into the machine.
Then, this machine sends the data to a cloud server with the other collected datas. Such data collection leads to huge volumes of data – often very complex. Most of these are analyzed, major trends are matched, and its reliability verified by other logical routes.
From a consumer point of view, the mechanism is not important. The magic that this data creates, after getting processed and analyzed, is what truly matters. It is what helps in…
And Philips is playing a vital role in this department. They are capturing and aggregating unstructured data and analyzing it further. Then a pattern is created.
And this is the key: the newly-created pattern is used to deduct the current circumstances or predict the future. So simply by going through the analyzed data, any doctor can look into the entire patient’s history and do a better diagnosis.
Recently, Mr. Srinivas Prasad – CEO of Philips Innovation Campus – explained how Philips is using big data to track patient’s health condition and any outbreaks that may occur in the future.
The company has been capturing terabytes of unstructured data almost everyday.
This complex process involves two key elements: first, the data has to be collected. And second, the collected data has to be analyzed.
Raw, unstructured data is taken from the patient and loaded up into the system. This system transfer the data to a centralized server where complex algorithms are used to analyze the data. The last part is the “analytic” Zoloft versus Lexapro.
As Mr. Vijayananda, Principal Scientist & Lead Architect at Philips, explains: the entire process has various “analytical levels.” And there’s a tremendous power in this process. It helps you to look into the past, see what happened with the patient and why did it happen.
Then, we can also get more insights – and have a look into the present – to find out what is happening right now. And, of course, with the past and present data available, the future can be predicted. How accurately? That remains to be seen.
In any case, the wheels are being pushed. And as healthcare companies decodes and splatters raw data into meaningful information, the world will change for good. More lives will be saved. And many more will cherish this first step that is set to revolutionize our future.