AARC Clinical Practice Guidelines for Artificial Airway Suctioning
Review the essential documentation standards for airway clearance and use our AI medical scribe to turn your next encounter into a structured clinical draft.
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Is this the right workflow for you?
Respiratory therapists and clinicians
Best for those documenting suctioning procedures and airway management based on AARC standards.
Guideline-aligned documentation
Get a clear breakdown of what needs to be captured during artificial airway suctioning.
From encounter to EHR
See how Aduvera converts the actual recording of a suctioning event into a reviewable note.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around aarc clinical practice guidelines artificial airway suctioning.
High-fidelity documentation for airway management
Ensure every suctioning event is captured with the specificity required by clinical guidelines.
Transcript-backed citations
Verify the specific secretions described and the patient's response by reviewing the source context for every segment.
Structured respiratory notes
Generate notes that organize suctioning frequency, technique, and patient tolerance into EHR-ready formats.
Pre-visit airway briefs
Use patient summaries to review previous suctioning requirements before starting the encounter.
From AARC standards to a finished note
Move from understanding the guidelines to generating a verified clinical record.
Record the encounter
Use the web app to record the suctioning procedure and the clinician's real-time observations.
Review the AI draft
Check the generated note for AARC-aligned details, such as secretion characteristics and oxygenation levels.
Verify and export
Use per-segment citations to confirm accuracy, then copy the final note directly into your EHR.
Documenting Artificial Airway Suctioning
Strong documentation for artificial airway suctioning must go beyond stating the procedure was performed. Following AARC guidelines, notes should specify the indication for suctioning, the type of catheter used, the amount and consistency of secretions, and the patient's physiological response, including heart rate and oxygen saturation changes. Capturing these specific variables ensures the record supports medical necessity and tracks the patient's respiratory trend accurately.
Aduvera replaces the need to recall these specific details from memory hours after the procedure. By recording the encounter, the AI medical scribe captures the clinician's verbalizations regarding secretion color and patient tolerance in real-time. This allows the clinician to review a transcript-backed draft that ensures no guideline-required element is missed before the note is finalized and pasted into the EHR.
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Common Questions
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
Can I use AARC suctioning guidelines to structure my notes in Aduvera?
Yes, the AI drafts structured notes from your recorded encounter that you can review and refine to match AARC documentation standards.
How does the AI handle descriptions of secretions?
The app records your verbal descriptions of secretion color, viscosity, and amount, then places them into the structured draft for your review.
Can I verify that the AI correctly captured the patient's response to suctioning?
Yes, you can review transcript-backed source context and per-segment citations to ensure the patient's response was documented accurately.
Is the app secure for respiratory therapy documentation?
Yes, the app supports security-first clinical documentation workflows for all clinical documentation workflows.
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.