Every prompt that contains patient data is a disclosure. Optimus lets clinicians use frontier-class AI on records, notes, and messages while every byte of PHI stays inside the hospital's walls.
HIPAA's minimum-necessary standard is hard to argue when full clinical notes flow to an external API. On-prem inference makes the disclosure question disappear: there is no disclosure.
02
The BAA can't cover what you can't see
A business associate agreement doesn't give you visibility into a vendor's subprocessors, retention, or training pipelines. Owning the stack replaces contractual trust with physical control.
03
Clinicians need AI at the point of care
Documentation burden is a staffing crisis. Local models mean ambient scribing and message drafting with zero network dependency and latency the EHR can keep up with.
The pain point — compliance
Processing PHI on-site removes the disclosure question.
OCR enforcement, state attorneys general, and class actions have made PHI handling one of the most heavily litigated areas of data regulation. On-site processing means protected data verifiably never leaves the hospital's systems.
The regimes in play
HIPAA Privacy & Security
Administrative, physical, and technical safeguards for PHI — including everywhere it is processed.
HITECH / Breach Notification
Breach duties triggered the moment PHI reaches an unauthorized system.
42 CFR Part 2
Substance-use records with consent rules stricter than HIPAA — incompatible with routing data to external APIs.
State Privacy Laws
Washington MHMDA, California CMIA and peers adding private rights of action over health data.
What cloud AI puts at stake
Clinical notes retained in vendor logs you can't inspect or purge
Breach-notification exposure from a single misconfigured integration
Research and training uses of your patients' data you never agreed to
Latency and outages between the clinician and a remote model
Optimus removes this exposure entirely: no external calls, no subprocessors, no egress — the full AI stack runs inside the controls you already operate.
Use cases
What one machine solves in healthcare.
Every workload below runs on the appliance, against your documents and systems, with full logs — no internet connection required.
Ambient clinical documentation
Turn the visit into a structured draft note in your templates — transcribed, summarized, and filed without audio or text leaving the network.
Specialty-specific note templates
Problem/med/order extraction into the EHR
No cloud transcription vendor in the loop
Ambient ScribeDocumentation
Prior authorization and appeals
Assemble clinical evidence, draft medical-necessity letters, and answer payer criteria from the chart itself.
Criteria-matched evidence summaries
Appeal letters with record citations
Denial-pattern analysis across payers
Prior AuthAppeals
Coding and CDI support
Suggest ICD-10/CPT codes with chart evidence and flag documentation gaps before the bill goes out.
Code suggestions with source passages
Query drafts for physicians
Audit-ready rationale for every code
CodingCDI
Patient message triage
Draft responses to portal messages, classify urgency, and route to the right team — all inside the firewall.
Urgency classification with escalation rules
Response drafts for clinician sign-off
Full message history stays internal
Inbox TriagePortal Messages
Research cohort discovery
Search notes and structured data for eligible patients under IRB-approved protocols, with PHI never leaving governance.
Criteria-based chart search
De-identified summaries for screening
Query logs for IRB audit
ResearchCohorts
Policy and protocol Q&A
Give staff instant answers over formularies, order sets, and clinical policies with citations to the current version.
Version-aware protocol retrieval
Formulary and dosing lookups
Answers grounded only in approved documents
Clinical Q&AProtocols
Clinical AI without disclosure — records processed where they live.
Reserve a build slot, or talk to the team about a sovereign deployment for your organization.