We’ve all heard the adage – when it comes to healthcare, if it wasn’t documented, it wasn’t done. This couldn’t be more true when it comes to value-based care – particularly as it relates to the Centers for Medicare & Medicaid Services risk adjustment program. This innovative program offers higher payments to providers who deliver …
Revenue Cycle Management- An Interdisciplinary Approach
Posted in Gebbs HealthcareIn healthcare, providers at the bedside know the care team goes far beyond the nurse and doctor. Delivering the highest quality care requires an interdisciplinary model where experts are called on as needed, information is shared, collaboration and continuous performance improvement are part of the process. Much like a patient’s care team, there are many …
Risk Adjustment Meets Artificial Intelligence – A Perfect Match
Posted in Gebbs HealthcareBig data is all the rage – transforming industries from tech to retail and much more. Healthcare – an industry slow to adopt technology in many ways now has access to more data than ever before with the widespread adoption of electronic health records (EHRs). But, what do we do with all this data in …
It’s Working – CMS Report Concludes the Effectiveness of Risk Adjustment
Posted in Gebbs HealthcareIn late June, the Centers for Medicare & Medicaid Services released data demonstrating that its Risk Adjustment Program – developed as part of the Affordable Care Act just five years ago – is working just as planned. What was the plan? To prevent payers from developing plans intended to attract healthier patients and to incentivize …
The #1 Most Critical Driver in the Successful Adoption of Shared Risk Programs
Posted in Gebbs HealthcareThe unavoidable shift toward value-based and two-sided risk payment models is here to stay – and while the benefits are countless, the journey thus far has been slow and somewhat painful for payers, providers and healthcare organizations alike. Healthcare is one of the slowest industries to effectively adopt technology and the reasons for this are …