Rivia Data Findings
Automated Clinical Data Review

Manual review across forms, domains, and sources surfaces issues late and puts database lock at risk. Built on Rivia Core, Data Findings uses Agents to create complex rules, flag issues proactively, and manage resolution in one governed workflow.

Findings queue with open data review issues and the governed finding lifecycle

Trusted by clinical teams at

The Problem with Manual Data Review

Complex data checks across forms and domains still rely on programming and repetitive manual review, causing data issues to surface late and increasing database-lock risk.

Complex checks require extra effort

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Some EDC systems support cross-form checks, but complex, multi-domain logic still relies on programming and manual review.

Issues are tracked manually

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Data Managers repeatedly track and reconcile issues, then manually transcribe team review findings from spreadsheets into the EDC.

Problems surface too late

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Growing data volumes make manual review harder to sustain, increasing late-stage clean-up and database-lock risk.

Make Data Review Timely and Iterative

With real-time data ingestion, Data Findings helps teams identify issues and act throughout the study, rather than leaving clean-up until the end.

Real-Time Review
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Issues are flagged as they arise instead of discovering them late in the trial, keeping review backlogs under control.

Signal and Pattern Detection
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Surface signals and patterns so sponsor teams can investigate and take action earlier.

Clean and Lock Throughout the Study
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Resolve issues before lock to reduce late corrections and the risk of reopening the database.

Average time from LPLV to database lock: 4-8 weeks today versus under 2 weeks with Data Findings

Watch a Review Cycle End to End

01

Build Rules

AI-Assisted Rule Builder & Library

Create complex data review rules and manage them centrally, providing the foundation to flag matching findings for review.

Create Review Rules
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Configure validation logic for complex data checks across forms and domains.

Manage Rules Centrally
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Create and manage data review rules in a central repository.

Turn Rules into Findings
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Use configured rules as the foundation to flag matching findings for review.

Plain-language request turned into a drafted data review rule ready for approval
Rule version history from draft through QC to the approved version in effect

02

Govern Rules

Governed Rule Lifecycle

Manage every data review rule through a governed lifecycle with version control, QC, approval history, and validation.

Maintain Version Control
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Track rule versions and changes as review logic evolves.

Support UAT and Approval
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Manage QC, validation and approval while preserving a traceable history.

Living Data Review Plan
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Centrally accessible for operational clarity, all exportable for the TMF.

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Surface Findings

Findings Synced to Source Status

Data Findings evaluates trial data against configured rules, surfaces matching findings for review, and updates their status as source data changes.

Evaluate Data Against Rules
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Apply configured review logic to clinical trial data.

Surface Matching Findings
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Flag data that meets rule conditions so Data Managers know what requires review.

Stay Aligned with Source Data
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Automatically update finding status as the underlying source data changes.

Finding status following source data from new to auto-closed
Finding ownership per reviewer and a signed resolution record

04

Resolve Findings

Resolution Workflow

Review, assign, and resolve findings in-platform, with status tracking and a complete audit trail of decisions and actions.

Review Findings
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Bring surfaced findings into a structured review workflow.

Assign and Track
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Assign findings and keep ownership and status visible throughout review.

Resolve with Traceability
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Resolve findings with a complete audit trail of decisions and actions.

Conviction & Trust

Built for Clinical Trials

Security, quality, privacy and traceability are built into how Rivia operates.

Certified & Compliant

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ISO 27001

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ISO 9001

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ICH GCP E6(R3)

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GDPR

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FDA 21 CFR Part 11

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EU Annex 11

Rivia is also audited annually by independent third parties.

Security by Design

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AES-256 encryption at rest

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TLS in transit

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Role-based access

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Multi-factor authentication

Security is embedded throughout the platform, not added around it.

Your Data, Your Control

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Customer ownership and control

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Role-based access controls for authorized users

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Full audit trail on every change

Your trial data stays yours, and every action stays traceable.

Built for regulated trials

Access our Trust Center

Explore

Explore Related Topics

See how Data Findings connects to the broader Rivia platform and the clinical trial workflows it supports.

Rivia Core

Bring clinical trial data together through source integration, ingestion, harmonization, and visualization.

Explore Rivia Core →

Success Stories

See how clinical teams use Rivia to reduce manual work, speed up data review, and focus on clinical decisions.

Explore Success Stories →

FAQ

Frequently
Asked Questions

What is Rivia Data Findings?

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Rivia Data Findings is an AI-configurable data review module for creating complex validation rules, surfacing cross-domain issues, and managing findings in one governed workflow.

Who is Data Findings for?

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Data Findings supports anyone on the study team involved in data review, from Data Managers configuring and governing the rules to Clinical Operations staff, Clinical Scientists, and Medical Monitors reviewing findings for quality.

How is Data Findings different from Rivia Core?

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Rivia Core provides source integration, ingestion, harmonization, and visualization. Data Findings adds rule configuration, automated findings, and a findings resolution workflow on top of Core.

Can Data Findings support cross-form and cross-domain checks?

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Yes. Data Findings is designed to support complex validation rules across forms and data domains, where review often otherwise requires programming and manual effort.

How are rules governed?

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Rules can move through version control, QC, approval history, and validation as part of a governed lifecycle.

How are findings resolved?

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Findings can be reviewed, assigned, tracked, and resolved in-platform, with an audit trail of decisions and actions.