When you hear the term big data, we automatically imagine a huge place where hundreds or thousands of data files are piled up. While many people find the term big data revolutionary, many others consider it an important concept.
What is big data?
When it comes to healthcare, data usually takes in information on patient’s profiles, health conditions, and clinical records alongside information on other aspects of healthcare.
The term big data refers to the huge data volumes consisting of both structures and unstructured data. The data is created by using digital technology that is too complex for conventional technologies.
Big data and the Healthcare sector
In the healthcare sector, big data is playing a role in
- Providing better care by monitoring and rewarding service providers depending upon the quality of service they are delivering.
- It is ensuring improved patient care because of the availability of sufficient patient data and less guessing.
- Big data offers an accurate and effective diagnosis promptly to prevent diseases before they could happen.
- Data accuracy reduces errors in the medical record such as prescriptions, saving reputation, money, and lives.
Myths on big data
With the rapid growth of industries and big data in healthcare, big data can be tempting for you. I came across big data technologies when I heard a renowned neuro physician in Lahore discussing in a webinar how big data is revolutionizing the field of neurobiology.
Myth # 1 – Big data is for huge setup
Undoubtedly big companies are using big data more often, but that doesn’t mean that only huge setups take advantage of big data. No matter the size of your setup or organization, big data gives you a valid reason to opt for it.
If your healthcare setup is 20 people or 200 people, you can use a similar approach to analyze the data.
Myth # 2 – Big data is expensive
The next buzz about big data is that big data requires a big budget, big platforms, and big teams. Most of the time, people say that they can’t go for big data because they don’t have a huge budget. But unlike popular belief, big data doesn’t necessarily need a huge budget of staff, and of course, huge platforms. As I already said, it doesn’t matter if you are a setup of 20 people or 200; you can benefit from this technology advancement.
Myth # 3 – Big data means more data
Big data is often misperceived as more data, but you need to be clear that big data isn’t always more data. Due to this reason, people consider that they have to use all the data they have collected. You don’t have to include all the data you have collected in your big data.
Therefore, you don’t need all the data, and it is recommended to clean data before it makes it to the database. Rather than more data, clean data can be of more help for you. We can also say that data management is more important than investing in more data.
Myth # 4 – Machines can replace humans!
No matter how advanced technology you are using, it can’t outsmart human intellect. We have got obvious reasons to say this. Let me explain why!
Whether you consider machine learning and artificial intelligence, you can’t assume that machines can do better than humans. Because in the end, machines are only capable of doing what they are being told. A smart approach will be using technology and human knowledge collectively to achieve long-term and sustainable advantages.
Reading on all this information, it goes without saying that big data is the future of healthcare. Big data can help to
- Predict the right hospital staff by analyzing the number of patients.
- It can enhance patient involvement by allowing them to track and monitor their health conditions.
- Bug data can help to build a predictive analysis for different diseases.
- Telemedicine can be another revolution caused by big data.
- It can help to maintain electronic health records (EHR) of patients.
So, it can be said that;
BIG DATA is the BIG FUTURE of Healthcare.