Big data has important V’s: They are volume, variety, veracity, and velocity, and their usability is increasing to gather meaningful information. Actually, there is basic logic: If you want to prevent epidemics, disease, and more, you need to analyze patterns and improve the delivery process. For sure, to make it happen you will need to work on many patients or any particular individual, and if you have a lot of information, you can find different solutions and make the process fast – it refers to big data. These data sets are complex, large, and varied, and storing and managing them are almost impossible with the current or/and traditional data management tools. Therefore cloud-based solutions allow us to manage them.
I would like to start with some explanations about how big data has the impacts on the health system.
As you know, early detection of many diseases is crucial for patients and predictive analytics is the main stone of further steps. Sometimes, patients can have complicated health problems and it could be difficult to give the best care by doctors. The good thing is big data allows doctors to predict health risks and gives many options to provide better care. Also, data mining and analysis help to identify the cause of illnesses and find solutions to reduce unwanted consequences. On the other hand, with this analyzing doctors could be able to decide about the rate of patients’ visits time and frequencies because as you know the patients are open to get different kinds of diseases easily because of their health condition, and sometimes the number of visitors can affect them.
Secondly, electronic data mining allows fast-access data, and based on it, a large amount of data might identify risks based on region, country, age, or sex while comparing to the historical datasets easily. For example, we want to find the rate of heart failure based on age and sex, and these depend on many factors such as family history or/and income as well. If it depends on family history, we can take an action in early-stage or if it depends on low-income, the government might help earmark funds to prevent it.
If I would like to give some examples of health tracking tools, I am sure you will not be surprised. There are basic wearables that detect sleep rate, exercise, heart rate, etc. and apart from it, there are more developed tools that detect the patient’s blood pressure, glucose monitors, and more, too. How do they affect our lives in a good way? The sensors are collecting our data and if the health situation goes worse, the hospitals will be able to provide care before.
Healthcare & Big Data Facts: The Centers for Medicare and Medicaid Services prevented more than $210.7 million in healthcare fraud in one year using predictive analytics. I’m sure at least once we got a prescription containing medicines that were misspelled by doctors or they can tend to prescribe a wrong medicine. Big data can reduce these such errors while analyzing and flagging out of place prescriptions.
Basically, applications areas:
- Pharmaceutical & Medical Products
- Core Healthcare Operations
- Healthcare Support, Awareness & Disease Prevention
- Health Insurance & Payer Services
- Marketing, Sales & Other Applications
Future for Big Data in Healthcare
- Precision Medicine
- Wearables and IoT Sensors
- Machine Learning
I would like to finish my article by providing some statistics.
According to an International Data Corporation (IDC) report sponsored by Seagate Technology, it is found that big data is projected to grow faster in healthcare than in sectors like manufacturing, financial services, or media. It is estimated that the healthcare data will experience a compound annual growth rate (CAGR) of 36 percent through 2025.
Market research has shown that the global big data in the healthcare market is expected to reach $34.27 billion by 2022 at a CAGR of 22.07%. Globally, the big data analytics segment is expected to be worth more than $68.03 billion by 2024, driven largely by continued North American investments in electronic health records, practice management tools, and workforce management solutions.