ReconAI
Seamlessly connect PV data across systems to ensure consistency, spot anomalies, and accelerate validation
Book DemoAchieve Seamless Data Reconciliation with ReconAI
Introducing ReconAI, PV Analytica's cutting-edge AI application designed to transform the way Life Sciences organizations reconcile data across diverse systems within the R&D function. With ReconAI, your organization can identify, resolve, and prevent data inconsistencies while ensuring compliance with stringent regulatory standards.
Why ReconAI?
Data reconciliation across multiple systems is a complex and resource-intensive challenge, especially in the highly regulated Life Sciences sector. ReconAI simplifies and streamlines this process by:
Identifying Inconsistencies : Automatically detects mismatched, incomplete, or conflicting data across R&D systems. Provides a clear view of discrepancies, enabling teams to focus on resolution.
Recommending Resolutions : Delivers actionable recommendations to address inconsistencies, whether in data formatting, missing values, or system integrations. Prioritizes critical issues that impact compliance and decision-making.
Enhancing Regulatory Compliance : Ensures data accuracy and integrity to meet FDA, EMA, and other global regulatory requirements. Provides audit-ready reports, documenting data reconciliation efforts and their outcomes.
5 Key Examples Where ReconAI Delivers Business-Value
ReconAI addresses real-world data reconciliation challenges across Life Sciences operations, delivering measurable value in the following scenarios:
Clinical Trial Data Reconciliation : Challenge: Discrepancies between data in Electronic Data Capture (EDC) systems and Clinical Trial Management Systems (CTMS) can lead to delays in trial timelines. Value Delivered: ReconAI identifies mismatched patient data, enrollment numbers, and trial outcomes in real time, providing resolution suggestions to ensure accurate reporting for regulatory submissions.
Safety Data Integration : Challenge: Inconsistent safety data across pharmacovigilance systems and Clinical EDC systems increases the risk of non-compliance. Value Delivered: ReconAI harmonizes adverse event reports, ensuring consistency between safety databases and clinical EDC, reducing compliance risks.
Regulatory Submission Datasets : Challenge: Errors in datasets submitted to regulators (e.g., FDA, EMA) can result in rejections or delays. Value Delivered: ReconAI validates datasets such as CDISC SDTM and ADaM for consistency and completeness, ensuring they meet global submission standards.
Vendor and Partner Collaboration : Challenge: Misaligned data between internal teams and external partners (e.g., CROs or CMOs) creates bottlenecks in R&D processes. Value Delivered: ReconAI ensures consistent data flow across systems, reducing miscommunication and enabling seamless collaboration with partners.
Cross-System Regulatory Reporting : Challenge: Generating accurate, audit-ready reports from multiple disconnected systems is time-consuming and error-prone. Value Delivered: ReconAI automates the reconciliation of data across systems, producing comprehensive and compliant reports that are ready for regulatory inspections.
Key Features of ReconAI
ReconAI delivers intelligent, integrated, and regulatory-ready data reconciliation capabilities, helping Life Sciences teams maintain data integrity, speed, and compliance.
Automated Data Reconciliation : Continuously monitors and reconciles data across R&D platforms, including clinical, regulatory, and safety systems. Identifies discrepancies in real time, reducing delays in workflows.
Intelligent Recommendations : Provides data correction and harmonization suggestions based on industry best practices. Leverages AI to learn from past reconciliations and improve future recommendations.
Regulatory-Focused Reporting : Generates comprehensive, audit-ready documentation for all reconciliation activities. Aligns reconciliation processes with regulatory guidelines, ensuring inspection readiness.
Cross-System Integration : Integrates seamlessly with popular R&D platforms, including EDC, CTMS, safety databases, and regulatory submission tools. Ensures a unified approach to data management across the organization.
Proactive Alerts : Notifies teams of potential risks and inconsistencies before they escalate into larger issues. Enables timely intervention to maintain data integrity.
