COI.
search Request for Consideration arrow_forward menu
close Submit Innovation
close
Healthcare verified Verified Outcome TRL 9

Ambient Clinical Intelligence (DAX)

domain Client: A major conversational AI provider (acquired by MSFT) handshake Provider: Microsoft Azure schedule Deploy: Q1 2020 (Launch)
95 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: Very High

Executive Summary

ANALYST: COI RESEARCH

To combat physician burnout, the provider developed the 'Dragon Ambient eXperience' (DAX). Running on Azure, this system uses ambient microphones to capture the natural conversation between doctor and patient. AI then automatically documents the encounter, generating a structured clinical note in the EHR, allowing the doctor to focus on the patient instead of typing.

rate_review Analyst Verdict

"The 'Holy Grail' of clinical workflow. Physician burnout from EMR data entry is a critical systemic risk. By successfully automating the documentation burden via secure cloud AI, this solution returns hours of productivity to providers and improves the human connection in care."

lock
Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Doctors spend up to 2 hours documenting for every 1 hour of patient care. This 'pajama time' leads to burnout. Typing during visits creates a barrier with the patient. Existing dictation tools still required explicit commands and editing.

psychology The Solution

DAX streams audio to Azure securely. It combines speech recognition with natural language generation (GPT-4 integration in later versions) to synthesize the conversation into a SOAP note. It filters out small talk and captures medical facts.

settings_suggest Technical & Deployment Specs

Integrations
Epic, Cerner (EHR)
Deployment Model
SaaS
Data Classification
PHI (Protected Health Information)
Estimated TCO / ROI
Medium
POC Summary (2019-01-01 to 2020-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Hallucination / Accuracy Critical Human-in-the-loop quality review (QDS) before note finalization.
Patient Consent High Explicit consent required for recording.

trending_up Impact Trajectory

Audited value realization curve

Reduction of ~7 minutes documentation per patient Verified Outcome
Primary KPIHigh provider satisfaction / retention
Audit CycleProcessing millions of encounters annually

policy Compliance & Gov

  • Standards: HIPAA
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: PHI (Protected Health Information)

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
lock
verified_user
Technical Audit
PDF • Audited
lock

Related Intelligence

article
Rent Payment Loyalty Ecosystem
View Outcome →
article
Fractionalized Real Estate Ownership (Tokenization)
View Outcome →
article
Enterprise Data Mesh & Cloud Modernization
View Outcome →
Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A major conversational AI provider (acquired by MSFT) without exposing sensitive IP or identities.

Private
lock_person

1. Raw Evidence

Audit ID: #PRIV-850
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-850

Strategic Action Center

Identify your current stage and take the next step.

rocket_launch
Replicate This Success
Want similar results? Request a deployment consultation.
psychology_alt
Submit Challenge
Have a different problem? Submit your problem statement.
publish
Publish Case Study
Submit your own verified evidence.
thumb_up
Verify Impact
Audit your existing solution.