Patient registry, outcomes and research data software
Registries and research teams collect structured patient data from many sites over many years, and every value has to hold up. We build and run the systems that capture it, check it and report on it. We built the AI conversation platform for HelloKidney.ai, a kidney disease registry, and built health indicator tracking for individual residents across Andhra Pradesh, fed daily by state departments.
The Problem
What gets in the way
Every site sends data differently
Spreadsheets, exports and forms arrive in different shapes, and someone cleans them by hand before anything can be compared.
Errors are found months later
Missing or impossible values surface at analysis time, long after anyone can go back and fix them at the source.
Patients are lost to follow-up
Repeat tests and visits are tracked in reminders and memory, so the long-term picture has gaps.
Every question needs an analyst
Clinicians and program leads wait for someone to write a query before they can see a number.
What We Build
What we build and run for you
Capture at the source
Web and mobile forms for clinics and field staff, including offline capture where the network is poor.
Feeds from existing systems
Daily imports from the systems sites already use, keeping the full history so trends can be compared over time.
Checks on every value
Range checks, required fields and an audit module that lets the data team review and reconcile with each site.
Follow-up over years
Each patient's visits, repeat tests and outcomes in one timeline, with the next follow-up due shown up front.
Dashboards by site and region
Comparisons across sites, districts and patient groups, with map views where location matters.
Questions in plain language
Program leads type a question and get a table and a download, without waiting for an analyst.
AI Engineering
AI that answers questions about the data
Program leads can ask questions in plain language and get tables and downloadable extracts back, as in the Andhra Pradesh indicator platform. Patient-facing assistants answer from a curated medical library instead of the open internet.
About our AI engineeringHow It Works
From first call to running every day
- 1
Agree the data definition
We pin down every field, its allowed values and where it comes from, before any form is built.
- 2
Connect the first sites
Capture and imports go live for a few sites, with checks switched on from day one.
- 3
Scale out
More sites are added through configuration, and reports grow with the questions asked.
- 4
Run it for the long term
Registries last for years. We keep the platform running, updated and audited.
Proof
Work we have delivered
Registries, outcomes and research data: common questions
It can, or it can work alongside it. We import what you already have and move sites over in stages.
Yes. The Andhra Pradesh platform takes daily feeds from several state departments, each with its own format and schedule.
You do. The system runs in your cloud account, and you can export everything at any time.
Access is role-based and every change is logged. Consent rules, de-identification and retention are set with you to match your protocol and local law, and US work runs under a Business Associate Agreement.
Tell us which workflow is slowing your team down.
Book a call with an engineer. We will look at your systems and tell you whether we can help.
Book a Meeting