- Qualitative Signal Detection Ability to configure qualitative signal detection criteria using flexible user interface for proactive monitoring.
- Quantitative Signal Detection Ability to perform quantitative signal detection on aggregate data using signaling algorithms.
- Integrated Review Across Data Sources Ability to perform review of aggregate data across different data sources from single user interface with an ability to compare data across sources
- Signal Management A powerful yet intuitive workflow engine for seamless signal detection, validation, and communication. Fully GPV Module IX compliant, it simplifies signal handling, reducing workload while ensuring regulatory compliance and enhancing pharmacovigilance decision-making..
- Internal and External Data Sources Ability to perform signal detection on internal and external data sources (FAERS, VAERS, EVDAS, VigiBase, JADER, Clinical Trials and Literature).
- Advanced Trend Detection Advanced trend detection using machine learning and historical data.
- Integrated Reporting and Analytics Sanket is integrated with PV Reports module and Spotfire for integrated reporting and advanced data analysis.
- Metrics and Dashboards Out of the box dashboards for Signal monitoring and summaries
Sanket information
- Category: PV Signal
- Release: R1 - (Beta)
- Project date: 05 June, 2025
- Project URL: www.vivocrypt.com/sanket.html
SANKET : Signal Detection and Management Solution
Robust, Compliant, and Intuitive Signal Detection & Management in Pharmacovigilance
SANKET is an advanced signal detection and management solution designed for comprehensive pharmacovigilance. Fully compliant with EU GPV Module IX regulations, it provides a powerful data mining environment to identify safety signals, detect trends, and analyze patterns in spontaneous adverse event reports.
With integrated qualitative and quantitative signal detection, PV Signal streamlines signal assessment across multiple data sources such as FAERS, VAERS, EVDAS, VigiBase, JADER, and clinical trial data. Leveraging machine learning and AI-driven analytics, it enables proactive risk management and efficient signal validation.
Reduce operational workload with automated signal triaging and centralized review, allowing pharmacovigilance professionals to dedicate more time to patient safety, regulatory compliance, and public health initiatives