Summary
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
Featured speaker(s)
April Curtis
Marketing Director
IMO
Thomas Magnum
Marketing Manager
IMO
B.A. Baracus
Data Analyst
IMO
B.A. Baracus
Data Analyst
IMO