LucasAI vs ScribeMD (2026)

AI Health Index verifiedAugust 4, 2026
Verdict

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.

The case for LucasAI
  • Its setting coverage is 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 organization working across primary care, hospital medicine and post acute settings, one vendor covering all three avoids three procurements.
The case for ScribeMD
  • 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

At a Glance

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
Citable Summaries

Each vendor in one paragraph

Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.

LucasAI

LucasAI, from Lucas Health Corporation in Miami, is an ambient clinical platform built by physicians. It listens to the visit, including speech that switches between English and Spanish, and returns a structured note by the end of the encounter, with more than 100 specialty note templates, a rounding navigator, one click discharge summaries and after visit summaries.

Source: AI Health Index, August 2026

ScribeMD

ScribeMD is a self serve ambient scribe claiming more than 3,000 physicians, generating notes in under 30 seconds across a stated 50 or more specialties including dentistry, psychiatry and cardiology.

Source: AI Health Index, August 2026

Keep Comparing

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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.

Disclosure

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.