Breaking down ACO data silos: our NAACOS webinar recap

Accountable care organizations (ACOs) are one of the most effective drivers of value-based care, taking on financial risk in order to provide the highest quality care and produce the greatest savings. However, like most value-based organizations, ACOs face challenges when it comes to unifying retrospective, concurrent, and prospective risk adjustment efforts.

Last week our team at Reveleer was thrilled to co-host a webinar with the National Association of Accountable Care Organizations (NAACOS) all about breaking down AI data silos using AI-powered prospective risk. NAACOS works with ACOs administrators, clinicians, CMS, payers, and other partners to provide technical assistance and policy support that supports ACOs’ value-based care goals.  

During the webinar, Reveleer’s Chief Medical Officer, Dr. Matt Lambert, and Solution Architect, Anthony Polizzi, discussed the power of AI to help ACOs standardize prospective risk adjustment and gap closure and how this technology leads to more accurate, compliant risk capture.

What we discussed during our webinar with NAACOS

ACOs are under increasing pressure.

They are taking on increasing accountability for delivering better outcomes and increased cost savings. To be successful, they need to unite retrospective, concurrent, and prospective risk models—and they need proactive, technology-forward ways to accomplish that.

Data siloes are getting in the way.

To power their end-to-end risk adjustment efforts, ACOs need a complete view of patient health. However, building that comprehensive picture requires unifying data from multiple EHRs, HIEs, and other data sources in addition to grappling with inconsistent documentation and varied workflows. Nearly 40% of ACOs operate 16 EHRs or more, making it incredibly challenging to get a full picture of patient health. The result is missed diagnoses, underreported risks, and even potential compliance risks.

AI can help unify fragmented data.

Fortunately, artificial intelligence (AI) can support ACOs by extracting data from different systems and integrating structured and unstructured data to build a longitudinal view of patient health. Then, using machine learning, the technology can identify potential care gaps and documentation trends.  

AI can also deliver insights at the point of care.

It can embed risk adjustment and gap closure processes directly into provider workflows so they can review suspected conditions ahead of patient encounters. Delivering relevant clinical insights in real time helps clinicians make better care decisions and more accurately document conditions, supporting shared accountability.  

How Reveleer partners with ACOs to support their value-based care goals

During our webinar with NAACOS, 43% of the participants noted they weren’t sure how to implement AI to support prospective risk adjustment. For organizations struggling to navigate advances in AI and put it to good use in their risk adjustment efforts, Reveleer is proud to serve as a strategic technology partner. With our sophisticated, AI-powered technology, a focus on security and compliance, and 16 years of experience working in healthcare, we are helping ACOs become more efficient and impactful in value-based care.  

Our Clinical Intelligence Solution empowers ACOs to:

• Scale and enhance prospective risk.
  Leveraging the power of AI, ACOs can standardize and scale risk adjustment processes across fragmented provider networks.

• Increase clinical engagement.
  By integrating prospective risk processes directly into existing clinical workflows, our technology makes it easier for clinicians to use insights to close gaps in care and gaps in documentation.  

• Improve performance.
  Finally, our AI-powered prospective risk solution ensures ACOs can direct resources to the highest-risk patients and enhance care coordination network-wide.

When ACOs leverage AI to unify their risk adjustment efforts, they experience increased clinical engagement, improvement in data accuracy, and improved care gap closure. Interested in diving deeper into AI-powered clinical intelligence for ACOs? Check out the recording of our NAACOS webinar.  

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