Solutions
Automation, pipelines, analytics, and private AI — aimed at the places clinical and research work still depends on a person carrying data from one system to another. Each one below states the problem it kills, exactly what you get at the end, who it fits, and how the work is usually scoped.
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Lab automation
Instruments, LIS, EHR, and the spreadsheets holding them together.
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Data pipelines
DICOM, instrument exports, and legacy databases made queryable.
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Analytics
Operational reports and trend work on data that already exists.
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Private AI
Language models that run inside your network, not a vendor's.
Clinical & lab workflow automation
“Three people retype results all day.”
Results, requisitions, and reports move between your instruments, LIS, EHR, and spreadsheets because a person carries them. Every hop is a transcription error and an hour nobody has.
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What you get
- A mapped diagram of where data actually moves today, and where it stalls
- Working integrations between instruments, LIS/EHR, and downstream systems
- Automated report generation and routing, with an audit trail
- Handover docs and a runbook your team can operate without us
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Fit and timeline
Best for: clinical and reference labs, toxicology, independent specialty practices.
Typical first slice: one instrument-to-LIS or report path, usually weeks, not a quarter. Vendor access, change control, and the lab's own validation are scoped after we see them — not quoted as a lab-wide rebuild.
Work starts against your test or staging environment. Nothing touches a production system holding patient records until the terms in honest scope are settled.
Biomedical data & imaging pipelines
“The data exists, but nobody can query it.”
The data exists. It’s in instrument exports, DICOM archives, scanned PDFs, and a decade-old database — and none of it can be queried, joined, or analyzed without someone hand-assembling it first.
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What you get
- Ingest and normalization for DICOM, instrument output, and legacy exports
- De-identification pipelines built for research use, with documented handling
- Volumetric and image processing built on the VoxelEdge stack (Cornerstone3D, Go, Rust, Python/MONAI, gRPC, S3-compatible storage)
- A queryable dataset and the code that reproduces it
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Fit and timeline
Best for: biomedical research labs, imaging groups, biotech R&D.
Typical engagement: 4–12 weeks.
You keep the pipeline, the schema, and the code. A dataset you can’t regenerate next year isn’t a deliverable, so reproducibility is part of the scope rather than an extra.
Operational and research analytics
“The monthly report lives with one person.”
Once results, instruments, and LIS extracts sit in one place, the numbers about your operation should be a query, not a rebuild. Nextora does that analysis. It is not referred out.
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What you get
- Recurring operational reports — turnaround, volume, QC exceptions — that do not live in one spreadsheet
- Trend and exception analysis against a documented extract
- Forecasting and capacity numbers that can sit on a budget line
- The pipeline underneath, so the analysis still runs next quarter
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Fit and timeline
Best for: labs and research groups whose numbers currently live with one person.
Typical engagement: scoped with the pipeline, or against data that is already queryable.
This is operational and research analytics, not a diagnostic device and not a staffed BI desk. How the analytics work is scoped.
Private, on-premise clinical AI
“We want an LLM but can’t send PHI to a cloud API.”
Your team wants an LLM for protocols, SOPs, notes, and record lookup. You can’t send any of it to a cloud API, and the vendors quoting you start at six figures.
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What you get
- Model selection and sizing against your actual hardware and query volume — not a spec sheet
- Deployment inside your network, your VPC, or fully air-gapped
- Retrieval over your own documents, with source citations on every answer
- A written, honest scope of what this does and does not do under HIPAA — and where you’d need a BAA or a regulatory consultant instead
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Fit and timeline
Best for: practices, labs, and departments with sensitive data and no AI infrastructure engineer.
Typical first slice: a retrieval pilot over your own documents, once hardware and network access exist. IT security review and procurement are usually longer than the build.
This is built for environments where data can’t leave the network. It is a retrieval and drafting tool for your staff, not a diagnostic instrument, and we will not scope it as one.
What needs a BAA, and what needs someone other than Nextora
Most of this market answers the compliance question with a badge. Here is the plain version instead, so you can tell on one read whether the work you have in mind is something we can start.
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What we can do without a BAA
- Architecture, design, and code review against synthetic or test data
- Integrations built and validated in a staging environment rather than production
- Analysis of properly de-identified extracts that you prepare and hand over
- Software installed inside your network that you operate, where we hold no standing access to records
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What needs a signed BAA first
- Anything where we create, receive, maintain, or transmit protected health information on your behalf
- Hands-on debugging or support inside a live system holding patient records
- Migrations, backfills, or de-identification runs over identified production data
- Any standing credential to a production clinical system
That agreement gets signed before the work, alongside your own risk analysis and safeguards — not after something goes wrong.
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When to hire a regulatory consultant instead
- FDA submissions, device classification, or software intended for diagnosis, prioritization, or treatment
- A formal HIPAA risk analysis, audit, or attestation for your organization
- CLIA or CAP inspection readiness and clinical validation studies
- IRB protocols and human-subjects review
If your problem lands here, we will say so on the first call and point you at a firm that does this work. We are glad to build around whatever they scope.
Nextora Analytics does not claim HIPAA compliance without the required agreements, risk analysis, and customer-specific safeguards in place, and nothing here is legal advice. Compliance is a property of your whole environment, not a feature we can sell you.
Tell us which of these you’re living with
Describe the workflow that keeps breaking. We will tell you whether it’s a three-week fix, a longer build, or something you should hand to someone else. Every inquiry is read here.