MedCity News October 4, 2024
Rajesh Viswanathan

As organizations dive further into their datasets and explore how artificial intelligence (AI) and machine learning (ML) can help reveal new insights, one thing must remain at the forefront: data quality.

Data is one of the main driving forces in healthcare’s ongoing transformation. As the industry continues its progress from fax-based communications and printed out patient forms, the data ecosystem informing advancements in care outcomes and healthcare economics is also evolving.

Yet, as organizations dive further into their datasets and explore how artificial intelligence (AI) and machine learning (ML) can help reveal new insights, one thing must remain at the forefront: data quality.

Understanding data quality and data hygiene

A fundamental aspect of processing large-scale data, particularly in...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Big Data, Technology
Trust, But Verify The Data Feeding Your AI Systems
Creating Value: How Data, AI, And Apps Transform Business
Healthcare’s Data-Driven Transformation: Breaking Down Silos To Improve Efficiency
Cedars-Sinai’s New AI Chief Digs Into the Data
AI: The Battlefield In The War For Data Control

Share This Article