Challenges
- Lack of metadata/medical taxonomies to aid in classification
- Limited sample of participant’s health data
Our client is a Fortune 500 company providing life and disability insurance to more than 100 million customers across 50 countries.
The current process of referring claims to clinicians is sub-optimal due to the lack of visibility of member’s healthcare journey before being disabled. The client wanted to augment claims data with external electronic health records to better understand triggers for the underlying disability condition. The key objectives include
The insights helped frame inputs for a Clinical Recommendation Engine that is being developed to inform intervention strategies to help claimants return to work
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