Patient Registry Software Development

Patient Registry Software Built for Longitudinal Research at Scale

We design and build custom patient registries for rare-disease foundations and research institutions — from participant enrollment to longitudinal tracking to pharma-ready analytics, all HIPAA-compliant from day one.

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Why Research Foundations and Institutions Choose Us

Proven at Scale

Built and operate the technology behind one of the world's largest longitudinal patient registries, spanning 900+ participants across 8 active studies.

Research-Grade Compliance

HIPAA, GDPR, and 21 CFR Part 11-aligned data handling with built-in PHI controls and full audit trails.

Longitudinal by Design

Registries built to track participants over years, not just a single study — with clean, structured data from day one.

De-Identified Analytics

Aggregated, de-identified dashboards for pharma and academic partners without exposing individual patient data.

MVPs in 6–10 Weeks

Launch a working registry fast, then extend it as your research program grows.

Full Lifecycle Support

From initial registry design to ongoing maintenance, new studies, and evolving compliance needs.

Client Success Stories in Patient Registry Development

World's Largest ALS Patient Registry

Built the registry and data infrastructure behind the world's largest longitudinal ALS patient dataset. ✅ 900+ participants tracked across 8 active studies ✅ Unlocked pharma and academic research partnerships

Formly – Oncology Disease Registry

Built a mobile-responsive disease registry for oncologists at leading hospitals. ✅ Replaced fragmented Excel-based tracking with structured, auto-filled data capture ✅ Significant increase in structured data collection

Tailored Solutions for Patient Registry Software

Custom Patient Registries

Purpose-built registries for rare diseases, oncology, or any longitudinal research program.

Participant Enrollment & Onboarding

Web and mobile enrollment flows, consent capture, and eligibility screening built for your protocol.

Longitudinal Data Capture

Structured, validated data entry with auto-fill, skip logic, and field-level checks that reduce cleaning downstream.

De-Identified Consortia Dashboards

Aggregated analytics for pharma, academic, and institutional partners — without exposing individual identities.

EHR & EDC Integrations

Connect your registry to existing EHRs, EDC systems, or clinical databases via HL7/FHIR.

Registry-to-Trial Pipeline

Turn registry participants into a ready pool for future clinical trials and studies.

Our Process: From Idea to Industry-Ready Platform

Let's Talk About Your Use Case

Discovery & Protocol Mapping

Understand your research goals, participant population, and long-term tracking needs.

Registry & Data Model Design

Design the data schema, consent flows, and participant journey around your specific disease or study focus.

Agile Development

Sprint-based builds with regular check-ins, so the registry evolves with your research program.

Compliance & Validation Testing

HIPAA, IRB, and audit-trail validation before launch.

Deployment & Ongoing Support

Launch, onboard your team, and get ongoing support as new studies and partners come online.

Deep Registry Experience

We've built and operated the data infrastructure behind one of the largest patient registries in rare-disease research.

Full IP Ownership

You own the code, data, and documentation — with transparent workflows and no lock-in.

Built for Longevity

Registries designed to outlast a single study, growing with your research program for years.

Why Choose Latent for Patient Registry Software?

Connect With Our Product Expert

Supported Platforms & Integrations

We Build For

Swift (IOS)

Kotlin (Android)

React Native

Flutter

React (Web)

Vue.js (Web)

Angular (Web)

PWAs

We Integrate With

EHRs & Interoperability

Epic

Cerner

DrChrono

HL7/FHIR

Infra

AWS

Azure

GCP

You Bring the Vision. We Bring the Team.

Let's design the registry that becomes the backbone of your research program — built to scale for years, not just one study.

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Frequently Asked Questions

How is a patient registry different from an EDC system?

An EDC system captures data for a single study; a registry is designed for long-term, longitudinal tracking of a patient population — often feeding multiple studies and trials over years. We build registries that can also plug into EDC systems when a specific trial needs one.

Can the registry support multiple diseases or study types over time?

Yes. We design the data model to be extensible from the start, so new studies, forms, or disease areas can be added without rebuilding the registry.

How do you handle patient consent and re-consent for a registry?

We build digital consent capture with versioning, so you can track exactly which consent version each participant agreed to, and manage re-consent flows as protocols evolve.

Can pharma or academic partners view registry data without seeing patient identities?

Yes. We build de-identified, aggregated dashboards specifically for consortium and partner access, separate from the identifiable data used by your research team.

Do you support remote or decentralized data collection for registry participants?

Yes — web and mobile data capture, wearable integrations, and remote assessments are all things we've built into registry platforms, so participants aren't limited to in-clinic visits.

How do you ensure data quality in a long-running registry?

Field-level validation, skip logic, and automated edit checks catch errors at entry. We also build admin tooling for coordinators to flag and resolve data quality issues over time.

Can you integrate with our existing EHR or clinical systems?

Yes, via HL7/FHIR or custom API integrations, so registry data can flow to and from your existing clinical systems without duplicate entry.

What happens as our registry grows — does the platform scale?

Our architecture is built to scale from a few hundred to tens of thousands of participants without replatforming, and we support you long-term as new studies and partners come online.