Organizations across the healthcare industry are grappling with the difficult task of managing an ever-increasing volume of patient data. These efforts are often complicated by hazards such as incomplete and unreliable information – resulting in "dirty data lakes" that can hinder effective patient care and operational efficiency. 

This eBook delves into the challenges of poor data quality and offers insights on how to overcome them with natural language processing and normalization.

Key learning points: