Report extraction
Results become rows the LIS can load.
Next Gen System builds production chatbots, Voice AI, bot & process automation, agentic systems, OpenAI integrations, and data services—wired to your workflows.
Next Gen System builds production chatbots, Voice AI, bot & process automation, agentic systems, OpenAI integrations, and data services—wired to your workflows.
Reports and requisitions that load into the LIS—not a shared drive.
Built for labs drowning in PDFs, faxes, and accessioning follow-ups.
Lab ops still rekey reports and chase missing fields. We turn requisitions and result PDFs into structured rows your LIS can load, and we route exceptions so a bad accession does not stall the bench.
Specific production work—not a generic “we do AI for this sector” list.
Results become rows the LIS can load.
Missing fields pause the job; they do not vanish.
Follow-ups go to the right queue with identifiers filled.
Low-confidence rows only—staff are not the OCR.
Next Gen System treats Medical laboratories as operating jobs with owners, integrations, and a handoff—not a slide of industry logos.
Structured extraction is the job: fields, units, identifiers, and a confidence score. Humans see the misses. The rest posts.
Accessioning and result routing run as owned jobs. Follow-ups are not a pile of sticky notes. When a field fails a check, the packet has a next step and an owner.
We do not replace the LIS. We feed it, with a trail of what was extracted versus what a person corrected.
Each row is a real job here, tied to a service your team can open.
The bench should get a complete accession—not a shared drive of mystery PDFs and a sticky-note follow-up.
Results become LIS-ready rows with units and identifiers. Staff are not the OCR.
A bad field pauses the packet with a next step. It does not stall the whole tray.
Routing already has the accession on it. Nobody retypes the same ID into a ticket.
You can see what was extracted and what a person corrected before it posted.
We scope the win, build with evals, and hand over a system your team can run.
We map high-ROI chatbot, voice, automation, or data use cases—then pick the first win that can reach production.
We design the system, integrate your stack, and prove quality with evals before wider rollout.
We ship with monitoring, feedback loops, and a clear runbook so your team can own the system.
Straight answers for Medical laboratories work with Next Gen System.
We group high-volume formats first. Long-tail layouts stay on a review path until volume justifies a mapping.
Sometimes, with lower confidence. Those rows default to a person. We do not guess a patient ID.
In your LIS or warehouse. We are not a second lab system.
We will pick the first production job, the systems it must touch, and what “done” looks like for your operators.
Share your use case. We respond within one business day.
