
Working in Innovaccer’s Comet every day, I’ve found that its unified data model and library of pre-built clinical measures noticeably speed up our pipeline. It has almost cut in half the time we spend preparing cohort analyses by letting us connect directly to disparate EHR and claims data sources, while still keeping the user interface smooth and responsive. The co-pilot-assisted SQL query builder also validates complex healthcare logic right away, which saves our analytics team hours and integrates cleanly with our existing BI dashboards. One unexpected benefit has been the automated data quality alerting system: it flags gaps in clinical coding early and handles much of the data validation for us without needing additional tools. Review collected by and hosted on G2.com.
When I run custom measures on very large, multi-year historical claims datasets, the reporting view can sometimes take a little longer to load. Adding a clear loading or progress indicator that shows the status of background queries would further improve the user experience, especially when working with large datasets. Review collected by and hosted on G2.com.