Avoiding the dangers of a dirty data lake: The crucial roles of NLP and normalization

Read time: 10 min


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 NLP and normalization.

Download now and learn about:

  • The potential of AI-powered autonomous coding to improve data reliability
  • The impact of data inaccuracies on analytics and revenue cycle management
  • How quality data underpins effective reporting and healthcare delivery

Who It's For

Download the eBook