For clinical labs and specialty practices

Your team shouldn't be retyping results between systems.

Instrument exports, requisitions, LIS records, and reports that only move because a person moves them. Nextora builds the integrations, pipelines, analytics, and private AI tooling that close those gaps — computer science, biomedical engineering, and time in pharmacy and hospital settings, so the first meetings are not spent explaining the workflow.

  • Clinical and reference labs
  • Toxicology
  • Independent specialty practices

What your week actually looks like

None of this is a problem you can buy your way out of with one more system. It lives in the space between the systems you already own.

Today, instrument output is keyed into the LIS by hand and re-typed again to produce the report. Afterward, each hop runs automatically and is logged. Today keyed in re-typed After automated logged Analyzer LIS Report Analyzer LIS Report

  • The analyzer prints and someone types

    Results come off the instrument in one format and go into the LIS in another, and the bridge between them is a person with a keyboard. Every hop is a chance to transpose a digit, and the only control you have is a second tech reading it back.

  • Requisitions still arrive by fax

    A page comes in, someone reads it, someone keys it. Demographics get re-entered, insurance gets re-entered, and an accession number that smudged in transmission costs a phone call and a corrected report.

  • The monthly report lives with one person

    Turnaround times, volumes, payer mix, QC exceptions — assembled in Excel by whoever knows which tab to trust and which column was renamed last spring. When that person is out, the report is late.

  • The integration docs are a PDF from 2011

    An HL7 feed nobody has touched in a decade, a vendor interface fee for anything new, and a flat file that lands on a share drive at 2 a.m. It works until it doesn't, and the person who set it up left in 2019.

What we would actually do

Nothing here starts with a rebuild. Your instruments stay, your LIS stays, and your staff keep the workflow they know. What changes is what happens between the steps.

  • First, the handoffs

    We start by mapping where your data actually moves today and where it stalls, then remove the hops one at a time: instrument output into the LIS without re-entry, requisitions in without a keyboard, reports that generate and route themselves with a record of what went where. You end up with a runbook and handover docs, because the point is that your team runs it without us. Most of this is three to eight weeks at a fixed scope.

    Lab automation, in detail
  • Then, the reporting underneath it

    Once results stop being retyped, the numbers about your lab stop being assembled by hand. We normalize instrument exports, legacy database tables, and scanned documents into one queryable place, so the monthly report becomes something you run rather than something someone builds.

    Data pipelines, in detail

If the AI question comes up, it usually comes up as: can we search our own SOPs, prior reports, and protocols without sending any of it to a cloud API. That is buildable, and it runs inside your network rather than someone else's. It is also the last thing we would do here. Your problem is plumbing before it is models. Private, on-premise AI.

Why Nextora, for you

You have probably talked to a consultant who had to be taught what a requisition is. That is the part of this you can skip.

  • The lab vocabulary is already there

    Pharmacy technician work, hospital settings, and a biomedical engineering degree. Accessioning, turnaround times, and the difference between a result and a reported result are not things you will spend the first meetings explaining. You will not be teaching anyone here why a correct result delivered late is still a failure.

  • The engineering is not borrowed

    Georgia Tech MS in Computer Science and a BS in biomedical engineering, plus time behind a pharmacy counter and on hospital floors. If you want to see how we build rather than read about it, VoxelEdge is a full technical walkthrough of a multi-service medical imaging system.

  • One engineer, no relay

    You talk to the person writing the code. There is no project manager carrying your questions to a team you never meet, and no discovery phase spent teaching an agency what your lab does.

We will also tell you when the work is not ours. If what you need is an LIS vendor change, a validation plan, or a regulatory consultant, you should hear that in the first conversation rather than after an invoice.

Tell us which handoff hurts most

One paragraph is enough: the step your team repeats by hand, and roughly how often. We will tell you whether it is worth automating, what it would take, and whether Nextora is the right fit. Every inquiry is read here and answered within two business days.