Cotiviti’s Suspect Analytics solution helps identify members with potentially undocumented conditions appropriate for prospective and retrospective targeting. Our advanced analytical models leverage machine learning to provide our clients with a nuanced examination of their data, predicting members who have the highest probability of missing or incomplete conditions. We determine tens of thousands of pattern associations with a level of variety, granularity, and detail that would be virtually impossible to derive using more traditional clinical methods.
- Access the latest in machine learning and advanced algorithms to effectively create your chase list
- Identify charts with higher potential value
- Reduce the administrative time and resources required to manage and analyze data
Download our fact sheet to learn more.