LucasAI vs ScribeMD (2026)
Two mid market scribes with opposite commercial postures. LucasAI is physician built with unusually wide setting coverage for its size, spanning primary care, hospital medicine and post acute work, and it reports internal outcomes across more than a thousand providers, but publishes no price, no attestation and no evaluation. ScribeMD is self serve with a complete published ladder including a free tier, names its certification directly, and makes the most specific multi party capture claim in this category. The accuracy figures circulating for ScribeMD have no methodology behind them and should be ignored. The more consequential difference is that LucasAI compresses the path from speech to claim, naming risk adjustment terminology in its marketing, with no gate described along that path. If documentation is also your coding strategy, that is the record to interrogate rather than the one to prefer.
- Setting coverage is among the widest in this index for a vendor of its size, specified by the artifact each setting needs rather than by a specialty count.
- It is physician built and reports internal outcome data across more than a thousand providers, which is real operational scale even though it is self reported.
- For an organisation working across primary care, hospital medicine and post acute settings, one vendor covering all three avoids three procurements.
- The published ladder is complete with the limits stated rather than implied, including a genuine free tier, so a clinician can start at zero cost and see the ceiling before paying.
- Certification is named directly rather than described in near attestation language, which places it above much of the self serve tier.
- It states support for a high number of distinct speakers, which is the most specific multi party capture claim in this category and matters for family visits and team encounters.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. LucasAI and ScribeMD are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | LucasAI | ScribeMD |
|---|---|---|
| Primary category | Ambient Scribes | Ambient Scribes |
| Founded | Not recorded | 2023 |
| Headquarters | Miami, Florida, United States | Los Angeles, California, United States |
| Website | lucashealth.ai | scribemd.ai |
Side by Side
Each record in one paragraph
Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.
The AI Health Index awards LucasAI its top capability grade on AI Centrality and Setting and Specialty Coverage. Set against ScribeMD, LucasAI grades higher on Clinical and Operational Evidence, AI Governance and Bias Disclosure and Setting and Specialty Coverage. Its thinnest published disclosure sits on Model Supply Chain Disclosure and AI Liability and Recourse. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
The AI Health Index awards ScribeMD its top capability grade on AI Centrality and Commercial Transparency. Set against LucasAI, ScribeMD grades higher on several axes, including AI Safety and PHI Stewardship, Security Certifications and Trust Center and AI Liability and Recourse. Its thinnest published disclosure sits on Model Supply Chain Disclosure, Clinical and Operational Evidence and AI Governance and Bias Disclosure. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
Questions buyers ask
Should we choose LucasAI or ScribeMD?
On the axes where the AI Health Index separates them, LucasAI grades higher on Clinical and Operational Evidence, AI Governance and Bias Disclosure and Setting and Specialty Coverage, and ScribeMD grades higher on several axes, including AI Safety and PHI Stewardship, Security Certifications and Trust Center and AI Liability and Recourse. ScribeMD leads on the greater share of scored axes, but the split means the decision turns on which constraint is binding rather than on an overall winner.
Where do LucasAI and ScribeMD differ most?
The widest separation the AI Health Index records between LucasAI and ScribeMD is on Commercial Transparency, where LucasAI grades C and ScribeMD grades A. That axis sits in the Commercial group, so it should carry the most weight for a buyer whose binding constraint is contracting, scope and what the price actually covers.
Where do LucasAI and ScribeMD grade the same?
The AI Health Index grades LucasAI and ScribeMD the same on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
What have LucasAI and ScribeMD not disclosed?
At the last review, at least one of LucasAI and ScribeMD published thin or absent detail on several axes, including Model Supply Chain Disclosure, Clinical and Operational Evidence and AI Governance and Bias Disclosure. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Ambient Scribes page.
The performance figures circulating for ScribeMD, including a transcription accuracy percentage and a processing time, are not accompanied by a methodology, reference standard or denominator and should not be relied on. LucasAI compresses the path from speech to claim further than most with no gate described along it, and it names risk adjustment terminology explicitly in its marketing, which places it on the coding gradient: ask for the add to delete ratio and what proportion of suggested codes survive audit. Neither publishes a study, an evaluation methodology or a subgroup analysis, and LucasAI publishes no security attestation and no rate card.