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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
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/