LIFE SCIENCE AND CLINICAL RESEARCH
Rely on accurate patient data and precise cohorts
Support clinical research initiatives built on real-world evidence with a solution that fills gaps, improves consistency, and adds specificity.


IMO data quality management solutions standardize inconsistent patient condition and treatment data from diverse systems into consistent, structured, clinically validated terminology with the specificity required to identify accurate cohorts and power meaningful analytics.
Challenge
Research and development require high quality patient data
How we help
Meaningful insights start with quality data
Ensure consistency in diagnosis, procedure, medication, and lab data extracted from disparate systems and sources
Reapply missing standard codes and add other metadata, like secondary codes, to gain deeper insights
Increase accuracy and processing speed with precise matching and data validation
Simplify the process required to ensure the right patients are included in patient cohorts
Ready for more robust and reliable clinical patient data?
Speak with an expert about how IMO can help standardize your data to enable more precise cohorts and accurate analytics.

Latest Ideas

IMO, Snowflake bridge healthcare data standardization gap
IMO has developed an Application Programming Interface (API) now available to Snowflake customers, to help streamline healthcare data normalization.

Demystifying value set management through improved data quality
In health informatics, accurate value set management is the key to efficiently identifying patients within a target population, simplifying a historically complex process.

When using LLMs in healthcare, semantic interoperability is key
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