Ready to make complex clinical data usable? Learn how NLP technology, data normalization engines, and value set management tools can help.
Quickly deliver value to your clients by leveraging a solution to improve clinical data quality at scale.
IMO data quality management solutions leverage our deep expertise with point-of-care documentation to standardize inconsistent clinical data from diverse systems into consistent, structured, clinically validated terminology with the specificity required to identify cohorts and enable meaningful analytics.
Patient data is foundational for analytics and insights, yet as the healthcare industry expands and grows in complexity, this information becomes more plentiful and more problematic.
In addition, as patient data is extracted from various health information systems and moves throughout the ecosystem, it can become highly variable, full of gaps, and lose key components. This leads to extra staff time spent manually filling in those gaps, adding an unnecessary drain on analytics resources.
The growing volume of patient data is a valuable resource for your organization, but the substandard quality of aggregated data poses unique challenges.
Poor quality data creates bottlenecks throughout an organization and can delay innovation. Cleansing, standardizing, and enriching clinical data slows teams down, consumes valuable resources, and delays your time to market.
Rely on IMO’s industry-leading clinical terminology, used in 80% of EHRs
Reduce the manual burden on your team through precise matching, data validation, and simplified cohort creation
Ensure consistency in diagnosis, procedure, medication, and lab data extracted from disparate systems and sources
Process data quickly and efficiently with seamless integration into healthcare IT applications
Our team is eager to learn about your organization and ready to discuss how IMO can help.