The Messy Truth About Claims Data: Why It Matters, and What to Do About it
Claims-based analytics drive many organizational initiatives from strategic planning to improving provider alignment to practice acquisition. But claims data is inherently imperfect. Different data sources have different imperfections, causing significant analysis gaps due to incomplete, transposed, or simply missing information. Insights from a limited data set full of imperfections undermine your organization’s ability to achieve bottom line results.
Hear how new data science techniques not only merge your data into a de-identified third-party dataset but take a patient-centric view that rectifies the imperfections of raw claims. The result is a more accurate and complete overall patient claims story that better captures the utilization and leakage issues driving your growth strategy.
- Explore provider activity and referral behaviors across your market by payer category, payer name, and, where possible, plan name
- Merge your data with de-identified, curated claims datasets
- Use data science techniques to address imperfections inherent in claims data
Start Date: 09/28/2020
Start Time: 02:00pm
End Time: 03:00pm
Event Type: College LIVE
John Boldt, VP Analytics & Insights, Healthgrades
Jeremy Ellis, Provider Alignment Strategy, Healthgrades