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Description

DrugCard is an AI-powered pharmacovigilance platform designed to help pharmaceutical companies, CROs, and drug safety teams automate routine PV processes and manage safety information more efficiently. The platform brings together global and local literature monitoring, regulatory intelligence, and adverse event management in one connected workflow. DrugCard supports PV teams in identifying relevant safety information faster, reducing manual screening workload, and maintaining transparent, audit-ready processes. Its literature monitoring module covers 121+ countries, 2,200+ local medical sources, and 100+ languages, including both global databases such as PubMed and local, non-indexed medical journals. The platform uses AI to support article pre-assessment, generate structured summaries, highlight relevant keywords, assist with translations, and help users prioritize publications that may require safety review. DrugCard also provides configurable workflows, automated notifications, reporting tools, QC functionality, audit trails, and case creation from literature. With additional modules for Regulatory Intelligence and Adverse Event Database management, DrugCard helps organizations track health authority updates, centralize safety data, support E2B workflows, and improve overall pharmacovigilance operations. Built for MAHs, QPPVs, LQPPVs, CROs, regulatory teams, and PV professionals, DrugCard combines automation with human expert oversight to support compliant, scalable, and reliable drug safety management.

Description

Oracle Life Sciences Empirica stands out as the premier solution for identifying, analyzing, and managing safety signals that arise from both pre-market and post-market drugs, biologics, vaccines, devices, and combination products. Oracle consistently invests in research and development to enhance the cutting-edge data-mining algorithms and statistical methods utilized in Empirica. This innovative approach allows for the identification of signals significantly earlier, offering risk insights as much as 7 to 22 months in advance of the typical labeling revision timelines based on a time-indexed benchmark. Safety teams engaged in signal management encounter increasing difficulties, including uncovering concealed signals, evaluating data from extensive big data sets, and improving the safety information available before the onset of clinical trials. To explore how emerging methodologies and technologies, such as artificial intelligence, can effectively tackle these evolving challenges, be sure to read our ebook, which provides valuable insights and practical solutions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

individual
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DrugCard

Founded

2021

Country

Estonia

Website

drug-card.io

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/life-sciences/safety-solutions/empirica-safety-signal-management/

Product Features

Product Features

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