Statistic: Dirty Data

Healthcare technologies can provide an opportunity to improve the quality of the data but does not eliminate them. One of the most important steps in data analytics is to verify that data sources are accurate, in order to
produce usable information. Data cleansing is used to identify and correct data discrepancies and inaccurate information – often referred to as “dirty data.” Discuss potential causes of dirty data and key strategies that can
be used to ensure the consistency of clean data, while using various healthcare technologies.