Data quality and standardization

A HIMSS Market Insights survey reveals notable gaps leaders face in ensuring the integrity, usability, and consistency of...

Dodge the downstream hazards of a tainted data lake with a foundational clinical terminology, domain-specific NLP, and sophisticated...

Better understand the barriers to data quality – like inconsistent and unstructured data – and why addressing them...

As healthcare aims to extract more value from clinical data, interest is growing in large language models (LLMs)....

Creating and maintaining value sets is challenging often diverting an organization’s valuable resources from other essential tasks. Our...

With insights from data science experts, this brief offers concrete ways for organizations to better support their data...

With perspectives from supporting experts, this paper explores how groundbreaking research could be accelerated if electronic health record...

Learn how the University of Manchester leveraged IMO’s robust clinical interface terminology to help drive their COVID-19 shielding...

IMO surveyed over 300 leaders at provider organizations to learn about their priorities for 2023. Addressing challenges with...

In search of a faster, more accurate way to identify patient cohorts, Duke Health turned to IMO’s extensive...

Ensuring data quality may be one of the biggest challenges of the information era – and not only...