Surface Risk Opportunities Before Each Visit
Zus brings suspect and recapture conditions into the workflows your teams already use with clinical evidence behind each one, empowering teams to identify supported risk earlier, prioritize the patients that need attention, and capture RAF opportunities while the visit is still open.

Find the risk you’re missing. Back it with evidence.
Risk opportunities get missed because the evidence exists in different records, claims, and care settings. New patients show up with limited history, leaving providers and coders to rebuild the picture.
Zus surfaces suspect and recapture conditions before the encounter, with the clinical evidence tied to each opportunity. Teams get a clearer view of patient risk, coders spend less time chasing charts, and documentation is easier to support.

Teams capture risk they used to miss with Zus
77
%
of patients have at least one suspect condition surfaced before the encounter
93
%
of recapture and high-confidence suspects on average accepted by coders
Capture, document, and track risk with clinical evidence
ZAP Risk Workflow in your EHR and Stand-alone app
Give your teams one evidence-backed view of suspect and recapture conditions in their existing workflow, so providers and coders can quickly document what matters most before the visit.
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Evidence Summary
Review the full clinical picture in minutes, not hours. AI-powered Evidence Summaries synthesize patient history into a concise narrative, with every finding traceable back to the source documentation. Teams can quickly understand a patient's story, validate key details, and focus on the work that matters most.
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Data Marts and Analytics
Get Population-level risk analytics to track your teams progress via API and Snowflake. Analyst-ready schema, refreshed daily, designed for tracking RAF performance, identify higher-risk populations, monitor acceptance rates, and understand score impact across your panel.
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Claims Based Recapture
Don't let previously documented conditions fall through the cracks. Zus surfaces diagnoses captured in prior claims that may be eligible for recapture and connects each opportunity to supporting clinical evidence, giving providers the context needed to validate ongoing conditions and support accurate risk adjustment.
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AI Suspecting
Find the conditions hiding in the chart. Zus uses AI to detect patterns in clinical data that may indicate overlooked or undocumented risk conditions, bringing forward evidence-backed opportunities for provider review and validation.
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How much risk is your team leaving undocumented?
Zus brings together clinical evidence, historical claims, and patient context to help providers and coders identify supported risk earlier and capture opportunities before they're missed.
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