Cleo Health

Founded by clinical AI researchers and built outward from an ambient scribe into charge capture, CDI, coding, census management and patient assignments, all on the same model stack. No legacy platform or services business underneath.

Several surfaces act during care rather than after it, and none is bounded in public. Real time CDI queries prompt the clinician mid encounter, clinical decision score reminders surface during care, real time risk analysis produces recommendations, and patient assignments are automated. No confidence threshold, accuracy rate, abstention behaviour or review gate was located for any of them. Prompting during the encounter is the design choice that makes this platform valuable and also the one that most needs disclosure, because a prompt shapes what the clinician says and documents rather than correcting it afterwards.

The problem is described with genuine precision, naming layered context, re evaluations and care team handoffs as the specific ways acute care breaks a general purpose scribe, and criticising competitors for missing context and dropping critical details in noisy dynamic settings. That is a real technical position. What is entirely absent is measurement: no accuracy figure, model card, named models, error rate or evaluation methodology was located, which is a notable gap for a platform deployed across a claimed 400 or more facilities.

Deployment scale is substantial and specific at more than 400 facilities, with a named strategic partnership with Core Clinical Partners, a practice management company in emergency and hospital medicine, and named executives throughout. But no study, controlled evaluation, accuracy benchmark, third party rating or published outcome figure was located. Graded C on the standing precedent that scale of deployment does not substitute for evidence of benefit; a vendor at this footprint has the data to publish an outcome and has not.

Not assessed. No statement on audio or transcript retention, de identification or training use was located. The gap is wider than usual because the platform spans an entire inpatient stay rather than a single encounter, holding census, assignment and re evaluation data alongside captured conversation.

Not assessed. No published HIPAA statement or business associate agreement posture was located, which is surprising for an enterprise product deployed across hospital systems and is the first thing to request.

Not assessed. No named or dated attestation and no trust centre located in this pass. Note that published engineering material describes observability tooling used internally, which is operational maturity rather than a security attestation and should not be read as one.

Not a regulated medical device and none claimed for documentation. Flag rather than grade: real time risk analysis producing recommendations, and clinical decision score reminders delivered during care, are decision support rather than record keeping, and sit closer to regulated territory than note generation does.

The most consequential position on the coding gradient found in this wave, and it deserves both halves of the argument. The mechanism: real time CDI queries and granular medical decision making prompts are explicitly designed to ENCOURAGE SPECIFICITY AT THE POINT OF CARE, supporting DRG assignment and, in the vendor's words, optimised reimbursement and revenue integrity, with competitors criticised for leaving revenue on the table. DRG assignment determines what an entire admission pays, so this is a larger financial lever than the E&M level of an office visit, and the prompt arrives BEFORE the documentation exists rather than auditing it afterwards, which is the same concern this index raised about Solventum at greater scale. The counterweight is real and should be stated: clinical documentation improvement is an established, legitimate hospital function, retrospective CDI queries genuinely do interrupt clinicians days later, and doing it at the point of care is a defensible clinical argument rather than only a commercial one. Separately, guidance on clinician performance against quality and patient experience scores is workforce monitoring and belongs in that conversation too. No fairness statement, subgroup analysis or accent disclosure was located.

Not assessed, and the absence is conspicuous. No named electronic health record integration, architecture, certification or write back mechanism was located, despite deployment across a claimed 400 or more facilities and a product that necessarily writes charges, codes and assignments into hospital systems. Establish exactly what connects to what before evaluating.

Not assessed. Cloud delivered with iOS and Android clients, but no hosting region, residency option or sub processor detail was located.

No published rate card, tier structure or pricing model located. Enterprise sold to health systems and provider groups through demo and partnership. The vendor's own argument for the platform is vendor consolidation return on investment, replacing multiple point solutions, so a buyer should expect to be quoted against the combined cost of the tools it displaces rather than against a per clinician scribe rate.

Deliberately narrow and, within that boundary, the broadest acute care coverage in this index. Emergency medicine and hospital medicine only, but spanning the whole inpatient stay from admission through discharge rather than one encounter: layered context, re evaluations, care team handoffs, census management and patient assignments. QuickStart lets a clinician defer patient registration during an emergency and complete it afterwards, which reflects how acute care actually sequences. This is the third emergency medicine specialist in the index after Sayvant and QiiQ Scribe, and the only one extending into inpatient. No language coverage published.