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High-Fidelity CDI Documentation

Learn the requirements for clinical documentation improvement and use our AI medical scribe to turn your recorded encounters into detailed, review-ready drafts.

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Is this the right workflow for you?

For Clinicians & CDI Specialists

Best for providers who need to capture higher specificity and acuity without spending hours on manual edits.

Get a Documentation Framework

Find the specific elements required for CDI-compliant notes to reduce queries from coding teams.

Automate the First Draft

See how Aduvera converts a recorded patient visit into a structured draft that meets CDI standards.

See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around cdi documentation.

Built for Documentation Accuracy

Move beyond generic notes with tools designed for clinical fidelity.

Transcript-Backed Citations

Verify every CDI-critical detail by clicking citations that link the draft directly to the recorded encounter text.

Structured Note Styles

Generate notes in SOAP, H&P, or APSO formats to ensure the necessary clinical evidence is organized for coders.

EHR-Ready Output

Review your high-fidelity draft and copy it directly into your EHR, maintaining the specificity needed for accurate coding.

From Encounter to CDI-Ready Note

Turn your real-time patient conversations into a professional first draft.

1

Record the Encounter

Use the web app to record the patient visit, capturing the natural dialogue where specificity and acuity are discussed.

2

Review the AI Draft

Examine the structured note and use per-segment citations to ensure the AI captured the exact clinical indicators required.

3

Finalize and Export

Refine the terminology for maximum specificity and paste the final, verified note into your EHR system.

The Essentials of CDI Documentation

Strong CDI documentation focuses on capturing the full clinical picture, specifically emphasizing acuity, comorbidities, and the link between symptoms and diagnoses. Rather than using vague terms, a CDI-compliant note specifies the type of heart failure (e.g., acute on chronic systolic), the exact nature of respiratory failure, and the specific etiology of kidney injury. This level of detail ensures that the coded data accurately reflects the patient's severity of illness and the resource intensity of the care provided.

Aduvera simplifies this process by recording the encounter and drafting the note based on the actual conversation. Instead of relying on memory to add specificity after the visit, clinicians can review the AI-generated draft alongside the transcript to ensure no critical clinical indicator was missed. This workflow transforms the documentation process from a memory exercise into a verification task, allowing providers to finalize a high-fidelity note that satisfies CDI requirements without starting from a blank page.

More clinical documentation topics

CDI Documentation FAQs

Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.

Can I use Aduvera to capture the specificity required for CDI?

Yes. By recording the full encounter, the AI captures the detailed clinical nuances you discuss with the patient, which you can then review and finalize in your draft.

How does the AI help reduce coding queries?

The AI drafts structured notes based on your actual conversation, making it easier to include the specific diagnoses and acuity markers that coders typically query.

Can I verify that a specific CDI detail was actually mentioned?

Yes, you can use the transcript-backed source context and per-segment citations to confirm exactly where a clinical detail originated in the encounter.

Is the AI scribe secure for clinical use?

Yes, the app supports security-first clinical documentation workflows to ensure the security of patient data during the recording and drafting 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.