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Diagnosis Generation & Writeback — Smarter Diagnoses, Seamless Workflows

Overview

Diagnosis Generation and Writeback accelerates clinical documentation by using AI to automatically detect and recommend diagnoses during the encounter. Suggested diagnoses appear as editable ICD-10 “pills” in the Assessment & Plan section, allowing providers to quickly review, refine, and confirm entries.

Once confirmed, these codes flow directly into the EHR as structured data for seamless billing, reporting, and care coordination — all without extra clicks.

A new Goals and Instructions section further improves efficiency by clearly separating provider treatment plans from patient-facing guidance, reducing redundancy and improving clarity.

Smarter Diagnoses → Structured Data → Automated Workflows

Key Features

  • AI-Driven Diagnosis Recommendation: Automatically detects potential diagnoses in real time.

  • Editable ICD-10 Pills: Providers can confirm or modify suggested diagnoses before submission.

  • Seamless EHR Integration: Structured ICD-10 data flows into your EHR instantly.

  • Reduced Redundancy: The new Goals and Instructions section separates provider and patient documentation.

  • Workflow Efficiency: Fewer clicks and faster review — save up to 10+ minutes per patient.

How It Works

  1. Avodah runs in the background during the patient encounter using Ambient Scribe.

  2. AvodahMed transcribes the conversation (speaker-diarized).

  3. AvodahMed generates a structured note with diagnosis recommendations and ICD-10 code suggestions.

  4. Clinician reviews the note in AvodahMed or directly within the EHR.

  5. Confirmed diagnoses are written back to the EHR as structured data.

Providers retain full control — AI suggestions are editable, not automatic.

Enablement

To enable Diagnosis Generation and Writeback, contact your Customer Success Manager or email support@avodah.com.

Get Started

  • Save 10+ minutes per patient

  • Schedule a Demo to see AI-powered documentation in action

Learn more: avodahmed.com
Schedule a Demo: avodahmed.com/schedule-a-demo
LinkedIn: linkedin.com/company/avodahmed
Support: support@avodah.com