AI in healthcare software, built HIPAA-aware.
AI for real clinical and operational work: documentation, intake, knowledge search, and operations, built to protect patient data and keep clinicians accountable for care. The hard part is doing it safely, and that is what we engineer.
In this guide: what we deliver, the security review, how the safeguards fit together, who decides, AI in healthcare questions and related reading.
Documentation support, intake and forms automation, or a grounded internal knowledge assistant.
Well-built healthcare AI supports staff while clinicians stay accountable for care decisions.
AI can be deployed in a HIPAA-aware way when it is built with the safeguards HIPAA requires.
Access controls, audit logging, encryption, human review and documentation.
What we deliver
Production AI for healthcare organizations, with the safeguards protected health information requires.
Documentation support
Reducing the administrative burden of notes and paperwork so clinicians spend more time on patients, with review built in.
Intake & forms automation
Extracting and processing the documents and forms behind registration, prior authorization, and claims.
Knowledge & policy search
Making clinical, billing, and operational knowledge findable for staff from approved sources.
Patient & staff assistants
Grounded assistants that answer common questions without inventing medical information.
Operations automation
Taking repetitive back-office work off people's plates so teams focus on care.
Built to pass a security review
AI fails in regulated environments when security and governance are an afterthought. We build them in from the first commit.
How the safeguards fit together
Each safeguard from the security review list, placed where it acts on a request.
Figure 1. The safeguards around an AI workflow for health data
Built from the security list above: least-privilege access, human-in-the-loop review, encryption in transit and at rest, audit logging and documentation for security reviews. The placement is illustrative; it is not a diagram of any client system.
Built for buyers who answer to auditors
Government and regulated commercial teams that need AI that is accurate and safe, not a demo that hallucinates.
Boutique accountability with partner delivery capacity.
A senior Sthenos lead owns your engagement and engineers AI to be grounded and controlled rather than impressive and unreliable. We scale delivery capacity as a program grows, with senior Sthenos engineers accountable throughout. You get the focus of a boutique and the reach of an enterprise.
Credentials
Who decides
Well-built healthcare AI supports staff; clinicians stay accountable for care decisions.
What AI does
Supports staff
- Reduces the administrative burden of notes and paperwork
- Makes knowledge findable from approved sources
- Answers common questions without inventing medical information
What clinicians keep
Accountable for care
- Care decisions
- Review of sensitive output
- Control of care
The safest first projects
- Documentation support
- Intake and forms automation
- A grounded internal knowledge assistant
AI in healthcare questions
Is AI HIPAA compliant?
AI is not automatically compliant or non-compliant. It can be deployed in a HIPAA-aware way when it is built with safeguards for protected health information, access controls, audit logging, encryption, and the agreements and processes HIPAA requires.
What is the safest first AI project in healthcare?
Usually documentation support, intake and forms automation, or a grounded internal knowledge assistant: clear value, available data, and a risk profile that keeps clinicians in control of care.
Does AI replace clinicians?
No. Well-built healthcare AI supports staff by reducing administrative burden and surfacing information, while clinicians stay accountable for care decisions.
Can you build AI that works with our EHR and systems?
Yes. We integrate AI with your existing applications, data, and workflows through real APIs and pipelines, with the safeguards healthcare environments require.
Tell us the outcome you need, and we will tell you how to deliver it accurately and safely.
A senior Sthenos engineer will scope your use case and the path to production.
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