Buyer’s guide to choosing risk adjustment software 

What is risk adjustment software? 

Risk adjustment software helps organizations assess member risk and manage the documentation, review and reporting that support it. Depending on its capabilities, a solution may apply risk adjustment model logic, map diagnosis codes, identify records for review, organize clinical information, track review decisions or support submission and reconciliation. 

Buyers evaluating risk adjustment software should check its model support against CMS resources. CMS publishes model software, mappings and guidance, including resources for CMS-HCC, RxHCC and ESRD models.¹

Requirements vary across Medicare Advantage, Affordable Care Act and Medicaid programs. Buyers should verify that a risk adjustment platform supports their organization’s programs, model years, populations, data sources and reporting needs. A configuration that works for one line of business may not meet the requirements of another. 

Define your needs before comparing features

Feature lists can make risk adjustment solutions look similar. Start by defining the work your organization needs to do, who is responsible for each decision and where your team needs additional capacity or expertise. 

Common options include:

• Prospective risk adjustment solutions support review before or during an eligible encounter. They can help bring relevant information into provider workflows, while qualified professionals remain responsible for evaluating and documenting diagnoses.
• Retrospective solutions support review of completed medical records to identify diagnoses that may need to be added, corrected, deleted or reviewed further. OIG describes chart reviews as an allowable source of diagnoses for Medicare Advantage risk adjustment.²
• Analytics and reporting tools can help provide visibility into populations, documentation, submissions and operational activity. Look for reporting that lets users trace information from its source through review to the final decision or action.
• Managed services aim to combine technology with operational support. Services may include chart retrieval, coding review, quality assurance, provider engagement, reconciliation or audit preparation.

A hybrid approach can combine internal ownership with external technology or services. The right mix depends on your team’s processes, controls, expertise and capacity, not just organization size. Assess which work your team can manage consistently and where external support may help. 

Capabilities to evaluate in a risk adjustment platform

When comparing risk adjustment platforms, look for capabilities that support your organization’s data needs, workflows and compliance requirements.

Software, managed services or a hybrid model?

The technology decision is closely connected to the operating model. The comparison below can help organizations identify which approach deserves deeper evaluation.

Questions to ask risk adjustment software vendors

A vendor evaluation should focus on demonstrated workflows and documented controls. When comparing health care risk adjustment companies, ask vendors to show how their technology and services address the following questions:

• Which Medicare Advantage, ACA or Medicaid models and model years are supported, and how are updates incorporated? 
• Can users trace each diagnosis or recommendation to its source documentation and review history? 
• How does the system distinguish a potential condition from a reviewed, documented and supported diagnosis? 
• How are additions, deletions, corrections and reviewer decisions recorded? 
• How do prospective and retrospective workflows connect without creating duplicate or conflicting activity? 
• What reporting supports reconciliation, audit response and tracking of final decisions or actions? 
• What decisions or recommendations involve AI, and what human review is required before coding or submission? 
• How are data privacy, security, access, model performance and accountability monitored? 

How to evaluate AI-assisted risk adjustment tools 

AI can help organize information, prioritize records, surface potential conditions or support quality-control workflows. It should function as decision support rather than a replacement for coding, clinical or compliance judgment. HHS materials on responsible AI emphasize governance, accountability, transparency, privacy, security and oversight.⁴

Ask what data an AI capability uses, what it produces and how users can trace its output to source documentation. Verify how performance and errors are monitored, how users provide feedback and where human validation occurs. A coding recommendation does not establish that a diagnosis is supported. The medical record remains central to validation in CMS RADV.³

Common mistakes when evaluating risk adjustment tools

• Choosing on price alone. A lower price may not include a solution that supports current models, integrates with plan workflows or preserves evidence. 
• Prioritizing features of controls. Traceability, validation, correction workflows and accountability can matter more than the number of functions listed. 
• Ignoring provider adoption. Even technically capable tools may add work for providers if information is poorly timed, difficult to access or disconnected from their existing workflows.
• Overlooking implementation requirements. Data mapping, security review, configuration, reporting definitions, training and operating responsibilities should be defined before contracting. 
• Treating potential diagnoses as validated findings. Potential diagnoses require appropriate evaluation, documentation and human review before coding or submission. 

Risk adjustment software buyer checklist 

Before selecting risk adjustment software or a broader risk adjustment platform, confirm that the proposed approach:  

• Supports the required programs, models and model years
• Connects with the organization’s data and provider workflows 
• Maintains source-to-submission traceability 
• Distinguishes potential conditions from validated diagnoses 
• Supports additions, deletions, corrections and tracking of final decisions or actions 
• Provides defined metrics, drill-downs and reconciliation reporting 
• Uses AI with documented governance and appropriate human oversight 
• Assigns clear accountability across the vendor, plan, coders, clinicians and providers  

When choosing a risk adjustment software, be mindful to look beyond just the number of features and volume of identified conditions. Focus on how well the approach fits your organization’s programs and resources. It should support accurate documentation and coding, transparent workflows, secure data use and evidence for regulatory and audit review. 

Frequently asked questions

What is the difference between risk adjustment software and managed services? 

Software provides technology for calculations, workflows, analytics, documentation review or reporting. Managed services add people and operational support. Contracts should clearly assign responsibility for data quality, coding decisions, review, submission, correction and audit response.  

Should buyers prioritize prospective or retrospective capabilities? 

The answer depends on the plan’s program design and operating needs. Prospective workflows support review before or during an encounter. Retrospective workflows support review of completed records. Plans that need both should test how the platform connects them, helps reduce duplication and reports outcomes consistently.  

Can AI replace medical coders? 

AI-assisted capabilities can help identify, organize or prioritize information, but coding and clinical decisions require appropriate human judgment and validation. Buyers should look for traceability, documented controls and clear accountability rather than fully autonomous claims.