By Becky Niehus
No matter the time of year, payers and providers should work to agree on a shared source of truth when it comes to data. With the recent end of the year, it’s time to celebrate the new year (who isn’t ready to say goodbye to 2020?) and close the books, which includes the reconciliation of any shared savings or losses. To settle the year with a minimal amount of pain and frustration, payers and providers must have a shared acceptance of data and methodology. This most often means both draw information from the same source of data, which helps make end-of-the-year reconciliation easier to achieve.
Data Requirements
To successfully reconcile yearly performance, payers and providers should agree about the source of truth and make sure both draw information from the same place. Paid claims data (both medical and pharmaceutical) from the payer is likely the most complete, as providers may not have access to patient data from outside their walls. However, it is critical for successful programs that providers have ongoing access to this data (outside of year-end activity) to monitor their performance and make appropriate adjustments.
Additionally, it may be necessary to supplement paid claims data with encounter, lab results or EMR data to have a full look at performance against quality benchmarks.
Finally, patient attribution must be transparent so providers can engage their patient panel to lower the total cost of care and close gaps in care.
Setting New Targets
As part of the process, payers and providers may reconsider both cost and quality targets. In the COVID-19 era, for instance, previously agreed to targets may be unrealistic. Finding good benchmark data may be a challenge given the unprecedented decrease in healthcare utilization and spending in 2020 and the length of time it takes to compile comprehensive benchmarks. Given this, payers and providers may need to rely more on forecasts than history and plan for more flexibility in next year’s payment reconciliation process.
Considerations for future planning
To prepare this year and those ahead, I have four thoughts providers and payers can take into consideration to ensure both are on the same page when it comes to reconciliations, all of which can help ensure long-term success.
- Collaboration between payers and providers can help improve coding practices to hit hierarchical condition category targets, which can provide tangible financial benefits for both
- Confirm patient attribution methodologies and align these between payer and provider to appropriately target and manage high-need patients
- Payers and providers will need to evaluate the impact of foregone care in 2020 and the care anticipated in 2021. Providers will need to manage capacity and prioritization while payers may have to evaluate the impact on their reserves if utilization suddenly increases
- Payers should ensure providers understand their contracts and the limitations of risk-sharing. A discussion with key providers may be helpful to ensure year-end transitions go smoothly
With 2020 behind us and 2021 beginning, it’s time to consider the long-term advantages of using a data repository as a single source of truth for payers and providers.
Additional resources
https://www.chcs.org/media/CCIL-cost-and-utilization-paper_032317.pdf
https://www.naacos.com/overview-of-research-on-aco-performance
Get our take on industry trends
Helping Accountable Care Organizations Navigate the Perfect Storm
In the ever-evolving landscape of healthcare, Accountable Care Organizations (ACOs) find themselves at the epicenter of a transformative era. Recently,…
Read on...Navigating the Medicare Landscape: Implications of the Latest Rule Changes for Healthcare Organizations
The Centers for Medicare & Medicaid Services (CMS) has recently unveiled significant proposed changes to Medicare Advantage (MA), Medicare Prescription…
Read on...Introduction to social risk: What healthcare leaders need to understand
‘Social determinants of health’ has been a common phrase for decades now, but the term social risk is much less…
Read on...AI is your new crystal ball: How predictive analytics can reduce denials
The idea of having a crystal ball to better understand what claims will be denied is an awesome concept. But one we can’t rely on. Thankfully, we have predictive analytics to take the place of a crystal ball.
Read on...