Bridging 3M Clinical Documentation Improvement with AI
Understand the core principles of CDI specificity and see how our AI medical scribe helps you draft notes that meet these standards from the start.
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For Clinicians
Providers who need to meet CDI specificity requirements without spending hours on manual edits.
CDI Alignment
Guidance on moving from generic descriptions to the high-fidelity detail required for accurate coding.
Drafting Support
A way to turn a recorded patient encounter into a structured, reviewable draft in Aduvera.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around 3m clinical documentation improvement.
High-Fidelity Drafting for CDI Standards
Move beyond generic templates to documentation that captures the necessary clinical nuance.
Transcript-Backed Citations
Verify that specific diagnoses and acuity levels are backed by the actual encounter text before finalizing.
Structured Note Styles
Generate SOAP or H&P drafts that organize clinical facts into the logical flow required for CDI review.
EHR-Ready Output
Copy and paste high-fidelity drafts directly into your EHR, reducing the need for retrospective queries.
From Encounter to CDI-Ready Draft
Turn your real-time patient visits into documentation that satisfies specificity requirements.
Record the Encounter
Use the web app to record the patient visit, capturing the natural clinical dialogue and specific details.
Review the AI Draft
Examine the structured note and use per-segment citations to ensure the AI captured the necessary acuity and specificity.
Finalize and Export
Refine the draft for absolute accuracy and paste the final note into your EHR for coding and billing.
The Role of Specificity in Clinical Documentation Improvement
Clinical Documentation Improvement (CDI) centers on the transition from vague terminology to specific clinical descriptors. Strong documentation avoids generic terms like 'heart failure' in favor of specifying the type (systolic vs. diastolic) and acuity (acute vs. chronic). This level of detail ensures that the patient's severity of illness and risk of mortality are accurately reflected in the medical record, which is the primary goal of 3M CDI frameworks.
Aduvera supports this by recording the actual encounter and generating a first pass that captures the clinician's spoken specificity. Rather than recalling details from memory or relying on a generic template, clinicians can review the AI-generated draft alongside the source context. This allows the provider to verify that the specific clinical indicators mentioned during the visit are present in the final note before it ever reaches a CDI specialist for review.
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Common Questions on CDI and AI Scribing
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
Can I use Aduvera to meet 3M CDI specificity requirements?
Yes, by recording the encounter and reviewing the transcript-backed citations, you can ensure the specific clinical details required for CDI are captured in your draft.
How does an AI scribe help reduce CDI queries?
By capturing high-fidelity details during the visit, you produce a more complete first draft, reducing the need for retrospective queries from coding teams.
Does the app support the structured formats typically preferred by CDI teams?
Yes, it supports common structured styles like SOAP and H&P, which help organize the clinical evidence needed for accurate coding.
Is the AI scribe secure for clinical use?
Yes, the app supports security-first clinical documentation workflows to ensure patient data is handled securely during the documentation process.
Reclaim your evenings from chart notes
Let Aduvera turn visit conversations into a cleaner first draft so you can review faster and finish documentation with less after-hours work.