$1.4M
Average annual revenue left on the table
Per 350-bed hospital — from uncaptured DRG improvements and HCC gaps that slip through manual CDI review workflows every year.
63%
Of outpatient HCC gaps go unqueried
Outpatient CDI volumes are 8× inpatient — yet most CDI teams lack tools to systematically capture them before risk adjustment windows close.
4.2hrs
CDI specialist time lost daily to manual work
Worklist sorting, query drafting, and clinical research that AI should handle — freeing your team for high-judgment clinical conversations.
Built for CDI specialists.
Not repurposed for them.
The healthcare AI market is full of ambient documentation tools wearing CDI clothing. They capture clinical conversations beautifully — but they don't know the difference between a principal diagnosis, a CC, an MCC, and an HCC RAF weight. We do.
Doc-U-Aide AI² was built from the ground up for clinical documentation integrity — not retrofitted from an EHR module or bolted onto an RCM platform. Every AI model, every workflow, every data structure was designed around the specific demands of CDI.
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🧠AI trained specifically on CDI outcomesModels trained on query results, physician response patterns, and HCC capture data — not general clinical notes.
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🔒Data sovereignty guaranteeYour clinical data trains your models and improves your outcomes. It never builds payer intelligence.
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⚖️No payer affiliation — everUnlike Optum/Iodine, whose parent company adjudicates your claims, Saince has no payer relationships. Your data serves you only.
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🔗EHR-agnostic HL7/FHIR integrationDeep EPIC integration without EPIC CDI limitations. Full Oracle Cerner compatibility. Works with your existing infrastructure.
Every CDI workflow. AI-powered.
Doc-U-Aide AI² doesn't add AI features to a legacy platform. It rebuilds the CDI workflow from first principles with intelligence at every layer — and ties each capability directly to measurable clinical and financial outcomes.
Ambient Clinical Documentation
AI captures clinical encounters in real-time, structures CDI-relevant diagnoses as documentation is created — not hours later during retrospective review. Physicians document. AI does the CDI work.
AI Worklist Prioritization
Machine learning ranks your CDI worklist by revenue impact, query success probability, audit risk, and case complexity — so your specialists start each day already knowing exactly where their attention belongs.
Autonomous Query Drafting
When AI identifies a documentation gap, it drafts the physician query with the clinical reasoning already populated — labs, vitals, imaging, medication evidence — ready to review and send in under 60 seconds.
HCC & Risk Adjustment Intelligence
Continuous HCC gap identification runs across inpatient and outpatient encounters simultaneously. RAF score impacts are calculated in real-time. Outpatient CDI finally scales to match your encounter volume.
AI Code Validation & Management
Every code addition, deletion, and modification is autonomously validated against the clinical evidence. Each change carries an AI-generated clinical rationale built to withstand payer review and external audit.
CDI Query Reasoning Engine
Every AI-suggested query includes a structured clinical reasoning chain — lab values, vital signs, clinical indicators — giving physicians the context to respond meaningfully, not just a yes/no choice.
Clinical Audit Defensibility
A complete, immutable audit trail logs every code, query, and documentation change alongside its supporting clinical evidence. MAC and RAC audit responses that used to take weeks now take hours.
Denial Reduction Intelligence
AI flags claims with elevated denial probability before they leave your facility, based on payer-specific risk patterns, documentation gaps, and coding signals. Fix it at the source — not 90 days later in appeals.
From documentation to defensible revenue
The AI² clinical integrity engine operates continuously — before, during, and after patient encounters — creating a closed-loop system that compounds in value over time.
Ambient Capture
AI listens to clinical encounters, structures documentation in real-time, and flags CDI-relevant diagnoses before physicians leave the room — not hours into retrospective review.
AI Prioritization
Your CDI worklist is ranked by revenue impact and audit risk. HCC gaps, DRG improvement opportunities, and at-risk codes surface first — every morning, automatically.
Autonomous Query
AI drafts clinically reasoned queries with supporting evidence already populated. CDI specialists review, personalize, and send in under 60 seconds — at three times the volume.
Defensible Integrity
Every code, query, and clinical decision is logged with its evidence chain — creating an audit-ready record that protects your organization and accelerates payer response from weeks to hours.
What AI² means in practice
Every feature in Doc-U-Aide AI² is tied to a measurable clinical or financial outcome. These are the metrics your organization can expect to move.
↑40%
HCC Capture Rate Improvement
Continuous AI scanning across the full clinical record — not just coded diagnoses — identifies HCC-eligible conditions that manual CDI review systematically misses, particularly in outpatient ambulatory encounters.
Measured at 90 days post go-live3×
Query Volume Without Adding Headcount
Autonomous query drafting with pre-populated clinical reasoning reduces the time-per-query from minutes to under 60 seconds. The same CDI team generates three times the physician touch points.
Compared to baseline pre-implementation↓ 40%
Preventable Denial Reduction
Documentation gaps addressed at the point of care — before the claim leaves the facility — eliminate the category of denials rooted in incomplete or unsupported coding. Appeals workload drops proportionally.
Vs. retrospective review workflowsHours
MAC / RAC Audit Response Time
AI² maintains a pre-built evidence chain for every code decision throughout the patient encounter. When an audit arrives, the documentation package is already assembled — review it, don't reconstruct it.
Previously: days to weeks per audit$1.4M
Annual Revenue Recovery Potential
For a 350-bed hospital, systematic HCC capture and DRG optimization through AI² translates to seven-figure revenue integrity improvements annually — from diagnoses already present in the clinical record.
Average for 350-bed acute care hospital4hrs
Daily Time Recaptured Per Specialist
AI handles worklist prioritization, clinical research, and query drafting — the 4.2 hours per day currently consumed by tasks that require data retrieval, not clinical judgment. Your team applies that time to the work only they can do.
Per CDI specialist, per dayWhat other platforms still can't do
Epic CDI Advisor and Cerner PowerChart CDI were built for inpatient DRG optimization — a world of MCCs, CCs, and MS-DRG weights. They were not designed for outpatient HCC capture, autonomous query management, or the audit defensibility demands of 2025.
| Capability | Epic / Cerner | Doc-U-Aide AI² |
|---|---|---|
| Purpose-built CDI AI models (not general clinical NLP) | ✕ | ✓ |
| Inpatient + outpatient CDI in a single unified platform | ✕ | ✓ |
| Autonomous query drafting with clinical reasoning pre-populated | ✕ | ✓ |
| Real-time HCC gap identification across outpatient encounters | ✕ | ✓ |
| Enterprise query tracking with physician-level agreement rates | ✕ | ✓ |
| Self-service CDI analytics — no IT ticket required | ✕ | ✓ |
| Clinical audit defensibility documentation chain | ✕ | ✓ |
| No payer ownership / no data conflict of interest | ✕ | ✓ |
| Pre-send query compliance validation (ACDIS/AHIMA standards) | ✕ | ✓ |
Epic CDI Advisor scores cases on DRG weight impact — a metric that is largely irrelevant in outpatient risk adjustment. Query tracking in Epic is encounter-level only: there is no enterprise view of physician response rates, aging queries, or agreement trends without custom IT configuration. Cerner's CDI offering is thinner still. Neither platform validates query compliance before it reaches the physician. Doc-U-Aide AI² is not an EHR — it integrates with your EHR and does what your EHR was never designed to do.
Trusted by the people doing this work every day
We've been waiting for a CDI platform that combines inpatient and outpatient AI in one place. The HCC tracking alone would transform how we support our ACO contracts and Medicare Advantage reporting.
The autonomous query drafting feature is the one our team has been asking every vendor to build for years. Doing this manually consumes a third of our specialists' time every single day.
The fact that Saince has no payer affiliation matters enormously right now. Our board specifically asked about data privacy after Change Healthcare. This is a real, structural differentiator — not a marketing claim.
See Doc-U-Aide AI² in 30 minutes
We'll demo using clinical scenarios from your specialty mix — HCC gap detection, autonomous query workflow, and the analytics your team would use every day. No generic slide deck. The real platform.