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Leading global CRO has gone live with PV Reports, PV Signal, and PV Analytics SaaS solutions RxLogix’ AWS based cloud

RxLogix has successfully completed implementation of PV Reports, PV Signal, and PV Analytics SaaS solutions RxLogix’ AWS based cloud. The project was in support of a COVID vaccine client in order to be in compliance, deal with potential large volumes of adverse events, and eliminating manual processes. Some of the project highlights are as below: […]

A Top 5 global pharmaceutical company has gone live on PV Signal, PV Central and PV Quality

The project was a result of an extensive implementation to resolve several challenges. Following are some key areas of the project: Implementation of RxLogix SaaS platform in RxLogix’ AWS based cloud More than 300+ Users Unified Signal Management and Quality & Compliance Monitoring processes Complex Data migration included migration of alerts and signal histories Integrated […]

PV Intake Mobile App Launch

While we at RxLogix are still very happy about the award from Frost & Sullivan in December for being recognized for having the “Best-in-class Pharmacovigilance Solution, PV Intake and Processing”, only a month on we continue to innovate our solution. This month we can proudly announce the upcoming launch of the PV Intake Mobile App […]

Successful Argus Safety Migration Go Live for a madrid based pharma company!

The RxLogix team has successfully completed Phase III of the Data Migration Project for madrid based pharma company. The project was to consolidate five separate entities into a single database hosted on RxLogix AWS Cloud. This was a highly complex project where the RxLogix team migrating existing legacy data from PcV Manager into the Argus […]

PV Signal Go-Live on RxLogix AWS Cloud

PV Signal is replacing client’s STAR (Empirica) system for Signal Detection. An extraordinary achievement for the entire client and RxLogix team. This was planned as an On-prem implementation but was moved to RxLogix SaaS just before UAT. The modules mentioned below will be used by ~140 users. All the users were trained within 1 month […]