Nine Item Patient Health Questionnaire Documentation
Learn how to accurately document PHQ-9 results and use our AI medical scribe to turn the patient encounter into a structured clinical note.
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For Primary Care & Mental Health Providers
Best for clinicians who regularly administer depression screenings and need to document scores and clinical impressions.
Get a Documentation Framework
Find the essential elements required to record PHQ-9 results, including severity levels and functional impact.
Convert Encounters to Drafts
See how Aduvera captures the screening conversation to generate an EHR-ready note for your review.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around nine item patient health questionnaire.
High-Fidelity Documentation for Behavioral Screenings
Move beyond simple score recording with a review-first AI workflow.
Transcript-Backed PHQ-9 Context
Review the exact patient phrasing for each of the nine items via per-segment citations before finalizing the note.
Structured Behavioral Note Styles
Automatically organize screening results into SOAP or APSO formats, ensuring the 'Plan' reflects the PHQ-9 severity score.
EHR-Ready Output
Generate a clean, structured summary of the questionnaire and clinical findings ready to copy and paste into your EHR.
From Patient Screening to Final Note
Turn a live PHQ-9 administration into a professional clinical record.
Record the Encounter
Use the web app to record the patient as they answer the nine items and discuss their symptoms.
Review the AI Draft
Check the generated note against the source transcript to ensure the score and symptom severity are captured accurately.
Finalize and Export
Edit any clinical nuances and copy the structured note directly into the patient's medical record.
Documenting the PHQ-9 in Clinical Practice
Strong documentation of the Nine Item Patient Health Questionnaire requires more than a total score. A complete note should detail the individual item responses—particularly regarding sleep, energy, and concentration—and explicitly state the severity category (minimal, mild, moderate, moderately severe, or severe). It is critical to document the patient's self-reported functional impairment and any specific risks identified in item 9, ensuring the clinical impression aligns with the numerical data.
Aduvera replaces the need to manually transcribe these responses or rely on memory after the visit. By recording the encounter, the AI captures the nuances of the patient's answers and organizes them into a structured draft. Clinicians can then verify the draft using transcript-backed citations, ensuring that the final note is a high-fidelity representation of the screening without the burden of manual data entry.
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Common Questions on PHQ-9 Documentation
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
Can I use the PHQ-9 format to create my own notes in Aduvera?
Yes, the AI captures the screening conversation and can organize the results into your preferred structured note style for review.
Does the AI capture the specific score for each of the nine items?
The AI drafts the note based on the recorded encounter; you can then use the transcript-backed citations to verify each item's score before finalizing.
How does the AI handle the 'functional impairment' question?
It captures the patient's description of how their symptoms affect their work or social life and includes this context in the generated draft.
Is the recording process secure?
Yes, the app supports security-first clinical documentation workflows to ensure patient data is handled according to regulatory standards.
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.