Learn more | STUDYPRO

What STUDYPRO Does

One place for a study: the people in it, the data it collects, the money it spends, and the analysis that comes out of it. Every capability below is in the product today.

Bring your REDCap study with you

Export the data dictionary and records from REDCap and upload both. Fields are matched to subjects, contacts, arms and observations automatically, you correct anything it got wrong, and you see exactly what will be written before a single row lands. No API token and no involving your REDCap administrator.

Identifiers handled deliberately

REDCap marks its own identifying fields, and an import starts with every one of them switched off. Subject identifiers can be cleared per subject afterwards without touching the research data attached to them.

Subjects, arms and consent

Enrolment status, cohort assignment, demographics, contacts, clinicians, diagnoses and concomitant medications, with consent versions and a per-subject history of every change.

Eight kinds of recording

Biomarkers and patient scales, EEG and wearable files, imaging, symptoms, adverse events and medication — on one timeline per subject, filterable by type and exportable together as a multi-modal analysis packet.

Statistics without leaving the study

Cohort comparison, subject trends, distributions and correlation, with independent t-test, ANOVA, Mann-Whitney U and Kruskal-Wallis for the cohorts you choose. Box, violin, line, scatter and density plots render inline and stay there.

Signal data you can actually look at

Power spectra and topographic maps for EEG, recorded streams for wearables, and segment correspondence that finds what two recordings share, calibrated against the rest of the study.

AI that reads your protocol

Upload the study's own documents to build a knowledge base, then let automated analysis summarise biomarker data against them. A research assistant answers questions about trial design and enrolment benchmarks.

An audit trail you cannot edit

Every insert, update and delete is recorded with who did it and what changed, old value beside new. There is no button anywhere that clears it.

Budget alongside the science

Study budget, top-ups and categorised expenses, with burn rate against remaining balance and a forecast of how long the funding lasts.

Symptoms and adverse events are coded against MedDRA, subjects and recordings import from spreadsheets using a template the study generates for itself, and a whole study exports as a single archive when it is finished.

Why Adopt a Clinical Trial Management System (CTMS)?

Modern clinical research requires coordination across multiple disciplines, sites, and datasets. Spreadsheets, shared folders, and email-based workflows often result in fragmented information, poor audit trails, and data integrity risks. A dedicated CTMS centralizes every aspect of your study, from participant registration and biomarker tracking to analytics and compliance reporting.

By adopting a CTMS, research teams can:

Ensure data consistency and integrity across every stage of a study.
Automate regulatory compliance by maintaining complete audit logs and consent histories.
Enhance team collaboration across departments and external partners with shared dashboards.
Reduce administrative overhead by streamlining document management and financial tracking.
Enable advanced analytics for faster insights and better decision-making during and after trials.

A dedicated Clinical Trial Management System eliminates manual errors, ensures traceability, and empowers teams to focus on science rather than administration.

How We Solve Challenges You May Face in Your Study

STUDYPRO was designed by researchers, for researchers. It directly addresses the most common pain points encountered in academic, hospital-based, and multi-site studies without the complexity and cost of legacy CTMS platforms.

Challenge: Complex and expensive system setup.
Our solution: Deploy in minutes, either on-premises or cloud-hosted. No external consultants or multi-week installations required.
Challenge: Steep learning curve for coordinators and students.
Our solution: An intuitive interface with guided study creation, built-in help content, and a Sample Study Generator for rapid onboarding and training.
Challenge: Fragmented workflows across study types and data sources.
Our solution: Unified modules for participant management, cohort setup, biomarker and event recording with in-built statistical analysis, ensuring seamless data flow from enrollment to export.
Challenge: Limited access to AI-driven insights in smaller trials.
Our solution: Integrated AI modules automatically summarize biomarker data, generate citations, and support early interpretation of trial outcomes.
Challenge: High license and maintenance fees in commercial CTMS platforms.
Our solution: STUDYPRO is low-cost, lightweight, and scalable. It's designed to be affordable for academic institutions, smaller sponsors, and public research programs.

Where most CTMS platforms focus on enterprise clients with complex integration and regulatory compliance requirements, STUDYPRO focuses on accessibility, transparency, and usability. Every feature is built to simplify, not complicate, your trial operations.

How We Compare to Traditional CTMS Platforms

Traditional CTMS platforms are powerful but often expensive, and difficult to deploy, customize and maintain. They require long onboarding periods, dedicated IT support, and costly licensing models that put them out of reach for many research institutions.

Feature	Traditional CTMS	STUDYPRO
Deployment	Requires vendor installation, long setup cycles	Ready-to-run with one-click cloud or local deployment
User Onboarding	Formal training sessions, steep learning curve	Guided workflows and sample study generator for rapid learning
Cost	High per-user or per-study licensing fees	Built for academic and institutional budgets, with a low total cost of ownership
Customization	Rigid structure, vendor-dependent changes	Fully customizable as an open-source platform
Migrating an existing study	Professional services engagement, or manual re-entry	Upload the two CSVs REDCap already exports and review the mapping yourself
Signal data	Stored as opaque attachments, analysed elsewhere	EEG and wearable recordings visualised and compared in place
Analytics	Limited to static reports	Dynamic dashboards, in-built statistics and AI-powered analytics
Compliance & Audit	Manual or third-party audit logs	Built-in audit trail with automatic compliance tracking
Support	Vendor-dependent, often costly	Direct support from the team that builds the platform