Unresolved
We still don’t know whether anyone at this organisation has actually used this technology — zero lived-experience observations exist.
Not yet answered
What are we missing?
HealthAratus Intelligence
OpenEvidence Coding Intelligence
OpenEvidenceOpenEvidence Coding Intelligence Intelligence
What the accumulated evidence, deployment record and lived experience actually show.
Intelligence lenses
Four ways of interrogating the same reality. Each changes the question, not the subject.
What is becoming different about OpenEvidence Coding Intelligence over time?
Not enough activity across time yet to describe how this reality has moved.
What we know · what we don’t
Everything here is open to being corrected by someone who has seen it first-hand.
What we still don’t know
Nobody has answered these yet. Your experience can help us understand what is happening.
Matters of record
Settled elsewhere. Context for reading the above, not something practice can confirm.
- 19 public external signal(s) across 13 source(s).Recorded by HealthAratus
Tool intelligence
What HealthAratus understands
HealthAratus currently understands OpenEvidence Coding Intelligence through deployment evidence, company records and external market activity.
- Category
- prior_auth_coding
What HealthAratus is still learning
HealthAratus is beginning to understand OpenEvidence Coding Intelligence. As evidence and experience accumulate, what remains unclear will be stated here.
Across organisations
Where OpenEvidence Coding Intelligence's reality is forming
Public activity and lived reality are separate truths. Public presence never implies local deployment or success.
- Open Mount Sinai Health System × OpenEvidence Coding Intelligence
Mount Sinai Health System
Public activity reported (1 record)
No lived-reality response yet
Nobody here has described actually using it yet.
Evidence & claims
What this is built on
The material the questions above were built from, with its attribution.
OpenEvidence Coding Intelligence analyzes visit transcripts and clinical notes. It suggests CPT, ICD-10, and E/M codes to assist with medical coding.According to OpenEvidence
What OpenEvidence states
The vendor’s own claims. Testable where practice can actually test them.
Stated capability
The tool generates CPT and ICD-10 code suggestions based on clinical notes.
According to OpenEvidence
Does this change your workflow?
Independent and public evidence
Found in public sources. Not a clinician’s experience, and never presented as one.
Reported outcome
OpenEvidence raises $250M (Series D)
Reported publicly
A matter of record — context, not something practice can confirm.
Reported outcome
Medical AI Startup OpenEvidence Weighs $200 Million Funding Round - PYMNTS.com
According to PYMNTS.com
A matter of record — context, not something practice can confirm.
Reported outcome
Medical AI startup OpenEvidence doubles valuation to $12 billion in latest round - Reuters
According to Reuters
A matter of record — context, not something practice can confirm.
Company participation
Not yet verified
A record of the reality forming around this technology already exists. No representative of the company has verified participation yet.
Claim your company profileReference
The stable facts, for interpreting everything above.
Overview
What it does
OpenEvidence Coding Intelligence™ automates the medical coding process by reasoning over entire visit transcripts and clinical notes to generate accurate CPT code suggestions, E/M level recommendations with full MDM rationale, ICD-10 diagnosis codes, and automatic CPT code sequencing optimized for maximum…
Vendor & external product information, not independently verified by HealthAratus
Where it's used
Deployed in clinic settings, US
Key strength
Evidence level: case study
Key capabilities
Automatic CPT code suggestions from clinical documentation, E/M level recommendations with full MDM rationale written into the note, ICD-10 diagnosis suggestions reflecting encounter complexity
Clinical use cases
Automated medical billing and coding after patient visits, Medical decision-making documentation generation, Revenue cycle optimization for physician practices
Who uses it
Physicians, Emergency Medicine Doctors, Clinical Practices
How the reality here has changed
Not enough recorded activity across time yet to describe how the reality here has moved. As accounts of OpenEvidence Coding Intelligence accumulate, this becomes a record of how the reality moved rather than a snapshot of one moment.
Connected intelligence
Category intelligence
Related technologies
Organisation intelligence