ICH Guideline E6 Good Clinical Practice Documentation
Understand the requirements for GCP-compliant clinical records and use our AI medical scribe to generate high-fidelity drafts from your encounters.
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Is this the right workflow for your study?
Clinical Investigators
Best for those needing to ensure encounter notes meet the ALCOA+ standards of the ICH E6 guideline.
Documentation Standards
You will find the core requirements for GCP records and how to translate them into a digital drafting process.
From Guideline to Draft
Aduvera helps you turn a live patient encounter into a structured, reviewable draft that aligns with GCP fidelity.
See how Aduvera turns a recorded visit into a transcript-backed draft you can review before charting around ich guideline e6 good clinical practice documentation.
High-Fidelity Documentation for GCP Compliance
Maintain the integrity of your clinical trial data with a review-first AI workflow.
Transcript-Backed Citations
Verify every claim in your note against the original encounter text to ensure the accuracy required by E6 standards.
Structured GCP Note Styles
Generate notes in SOAP or H&P formats that clearly separate subjective observations from objective clinical findings.
EHR-Ready Finalization
Review and edit your AI-generated draft before copying the final, verified text into your trial's electronic health record.
From Patient Encounter to GCP-Ready Draft
Move from the ICH E6 theoretical standard to a practical, documented record.
Record the Encounter
Use the web app to record the patient visit, capturing the raw clinical dialogue as it happens.
Review AI-Generated Draft
Analyze the structured note and use per-segment citations to ensure the draft matches the source context.
Finalize for the EHR
Edit the note for clinical precision and copy the finalized text into your system of record.
Understanding ICH E6 Documentation Standards
ICH Guideline E6 Good Clinical Practice documentation centers on the ALCOA+ principles: records must be attributable, legible, contemporaneous, original, and accurate. In a clinical trial setting, this means every patient interaction must be documented with enough detail to allow for an independent audit, specifically capturing adverse events, informed consent discussions, and protocol adherence without ambiguity.
Aduvera replaces the reliance on memory-based drafting by recording the encounter and generating a high-fidelity first pass. By providing transcript-backed source context, clinicians can verify that the AI-generated note accurately reflects the patient's statements and the clinician's findings, reducing the risk of documentation gaps that often trigger GCP compliance findings during monitoring visits.
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GCP Documentation FAQs
Transcript-backed documentation, clinician review, and EHR-ready note output are built into every workflow.
Can I use Aduvera to draft notes that follow ICH E6 GCP standards?
Yes, you can use the AI scribe to generate the initial structured draft, which you then review and verify using citations before finalizing.
How does the AI scribe help with the 'contemporaneous' requirement of GCP?
By recording the encounter and drafting the note immediately, you reduce the time gap between the patient visit and the final documentation.
Does the tool allow me to verify the accuracy of the AI's output?
Yes, the app provides per-segment citations and source context so you can confirm every detail against the actual encounter.
Is the app secure for clinical trial use?
Yes, the app supports security-first clinical documentation workflows to ensure the protection of patient health information.
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.