Four Vs of Big Data in Healthcare
Four main attributes related to big data: volume, velocity, variety, and veracity.
Big data is a term to collect large amounts of data. The amount of these data does not have a fixed threshold. Often, periods are used for large-scale data, and they must be managed, stored and analyzed using traditional databases and data processing architectures. The volume of data generated by modern IT and healthcare systems is increasing, boosting data storage, processing architecture costs and improving business data processing. It will increase efficiency and consumer service to improve data extraction.
Velocity is the main reason for exponential growth of data. Medical systems produce data at higher speed. According to type of the structured or unstructured data is collected, depending on the speed at which data is processed which requires processing output of data.
Variety refers to the form of data, that is, structured or unstructured, text, medical image, audio, video, and sensor data. Structured data information has clinical data, only one device must collect, store and process it. Structured data only includes 5% to 10% healthcare related data. Unstructured data includes emails, photos, videos, audio and other health information, such as hospital medical reports, doctor notes, prescriptions, and radio movies.
The veracity of the data confirms that the meaning of the data is consistent. Different data sources can vary in data credibility and reliability levels. The results of large data analysis should be credible and error-free, but in health centers, the decommissioning of machine learning algorithms automated machine-based decision making is automated, valid or misleading according to data. Healthcare Organizations get valuable information on these data to treat patients and make the best decisions.