Prioritize Your Optimization Efforts
With Suspect Analytics
How accurate are your risk scores? To ensure accurate premium payments that won’t get clawed-back in future audits,it’s critical that member risk scores accurately reflect their overall illness burden. Missing, incomplete or inaccurate diagnosis codes can negatively impact your individual member risk scores, but identifying which members have undocumented conditions can feel like finding a needle in a haystack.
Deeper Dive Analytics to Better Focus your Resources
Mile High Healthcare Analytics takes a big data approach to suspect analytics for Exchanges, Medicaid, and Medicare-Advantage. Our analytics help you prioritize members for retrospective chart review, in-home assessments, or provider office-based interventions. Our suspect analytics include more data sources than typically used to identify target conditions that require additional documentation. We commonly analyze the following sources to identify previously undocumented HCCs:
- Prescription drug data, including drug regimens that are FDA-approved or used “off-label”
- Quality measure compliance results
- Historically occurring diagnosis codes
- Clinical laboratory results
- Provider continuity of care, during the measurement year and in prior years
Predictive Modeling to Increase Efficiency in All Lines of Business
We apply our predictive modeling capabilities to score and prioritize opportunities in all lines of business—commercial exchanges, Medicare-Advantage, and Medicaid managed care as seen in the sample report below:
Operating a health plan in a value-based payment environment is increasingly complex. Risk adjustment and quality improvement is much more difficult for the commercial exchanges and Medicaid (fewer members get risk adjusted, interventions are harder to deploy, and quality measurement involves new populations, including children), but the premium risks are just as significant. That’s where Mile High Healthcare Analytics comes in. Our research and modeling helps you identify and prioritize opportunities for improving individual risk scores and better managing revenue. Opportunities can be prioritized by geography, provider group, disease category or other variables. Call us today at 720-446-7785 to discuss how we can help you with suspect analytics or email email@example.com.
Discover Our Free Webinars
Mile High Healthcare Analytics is the proud host of the MHHA Webinar Series. In these sessions, Richard Lieberman and occasional guest speakers from various parts of the industry discuss topics relevant in Medicare Advantage, Medicaid, and the Health Insurance Exchanges.