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...

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