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Vendor Evaluation Framework

How to evaluate HCC risk adjustment AI vendors.

HCC AI is one of the most consequential categories in healthcare revenue cycle right now. CMS-HCC V28 dropped average RAF scores 9.3 percent in transition. The pressure to capture accurate, supported HCCs has never been higher. AI helps; choosing the wrong AI hurts.

The four vendor archetypes in HCC risk adjustment AI vendors.

Vendors in this category typically fall into four structural patterns. Knowing which archetype a vendor fits helps you predict their strengths, hidden costs, and integration risks before signing.

V28-current AI platforms

Updated for the CMS-HCC V28 coefficient changes and the conditions that moved into and out of HCC categories. Surface gap-closure opportunities aligned with current V28 economics.

Best fit:

When you operate Medicare Advantage panels or ACO REACH/MSSP populations at scale.

Watch out: Verify V28 currency. Some platforms still surface V24 suspects that are now non-economic under V28.

V24-legacy platforms

Built for the prior CMS-HCC V24 model. Still in market. Often available at lower cost. Increasingly stale.

Best fit:

Avoid unless the vendor has a clear V28 update on a near-term roadmap.

Watch out: Lists generated by V24-only platforms overstate the opportunity and waste clinical recapture time on conditions that no longer carry HCC weight.

Pure-list-generation platforms

Generate suspect HCC lists. Do not support the recapture workflow. Hand the list to your team and step aside.

Best fit:

When you have a strong internal HCC recapture process already.

Watch out: Most practices do not. The bottleneck is rarely the suspect list; it is the recapture campaign management and documentation review.

End-to-end HCC programs

Combine AI suspect generation, recapture campaign management, documentation review, and post-recapture validation in one program.

Best fit:

When you want HCC outcomes, not just suspect lists.

Watch out: Higher total program cost than list-only vendors. The math usually works at any panel size above 2,000 attributed beneficiaries.

What to look for.

Concrete questions to ask any vendor in this category before signing.

  • Explicit V28 currency in writing, including condition map and coefficient updates
  • Suspect quality measured against your prior-year RAF audit findings
  • Recapture workflow support beyond list generation
  • Documentation review capability (clinical-quality, not just rules-based)
  • RAF lift tracking with attribution to AI vs other interventions
  • Compliance posture for OIG RADV audit defense

Common pitfalls.

Patterns we see repeatedly in clients who selected the wrong vendor in this category.

  • Buying based on V24 RAF lift case studies, V28 economics are different
  • Choosing list-only vendors without internal recapture capacity
  • Ignoring documentation quality in favor of suspect volume
  • Skipping the RADV audit defense conversation until the OIG letter arrives

How ASP-RCM is structured differently.

ASP-RCM does not sell HCC risk adjustment AI vendors as standalone software. We deliver these capabilities through a full revenue cycle service with senior partners on every account, integrated workflow, and accountability for outcomes. Most clients find this structurally different from evaluating point-solution vendors, and for many, materially less work to operate.

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Frequently asked questions.

What are the main types of HCC risk adjustment AI vendors?

There are typically four vendor archetypes in HCC risk adjustment AI vendors: v28-current ai platforms; v24-legacy platforms; pure-list-generation platforms; end-to-end hcc programs. Each fits different organizations differently based on volume, specialty mix, and operational maturity.

What should I look for when evaluating HCC risk adjustment AI vendors?

Key evaluation criteria include: Explicit V28 currency in writing, including condition map and coefficient updates; Suspect quality measured against your prior-year RAF audit findings; Recapture workflow support beyond list generation; Documentation review capability (clinical-quality, not just rules-based); RAF lift tracking with attribution to AI vs other interventions

What are common pitfalls when buying HCC risk adjustment AI vendors?

Common pitfalls include: Buying based on V24 RAF lift case studies, V28 economics are different; Choosing list-only vendors without internal recapture capacity; Ignoring documentation quality in favor of suspect volume; Skipping the RADV audit defense conversation until the OIG letter arrives

How does ASP-RCM compare to HCC risk adjustment AI vendors?

ASP-RCM does not sell HCC risk adjustment AI vendors as standalone software. We deliver the capabilities through a full revenue cycle service with senior partners on every account, integrated workflow, and accountability for outcomes. Most clients find this structurally different from evaluating point-solution vendors.

How can I get a free vendor evaluation from ASP-RCM?

Request a free 30-day RCM audit. We will assess your current state, identify which AI capabilities would deliver measurable ROI given your volume and specialty mix, and produce a written vendor evaluation framework tailored to your operating context.

Want a written vendor evaluation for your shop?

We do free vendor evaluations for qualifying healthcare organizations. Send us your top three vendor shortlist, your specialty mix, and your current cost per claim. We will send back a 3-page written evaluation with recommended vendor archetype, key questions to ask each, and red flags to watch for.

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