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features
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support

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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

Hark serves as a decision intelligence platform aimed at converting AI-generated outputs into actionable decisions that are ready for implementation by incorporating governance, oversight, and accountability within current AI processes. By functioning as an intermediary layer between AI models and actual business workflows, it empowers organizations to enforce company policies, adhere to regulatory standards, and apply business rules prior to the execution of any AI-driven choices. This system facilitates the integration of human insights directly into the decision-making process by channeling outputs to relevant stakeholders for assessment, sanction, or modification, which guarantees that essential decisions remain under control and traceable. Hark meticulously documents full accountability by noting who approved each decision, the timing of the approval, and the rationale behind it, while also producing straightforward, human-readable explanations that can be utilized for internal audits or compliance with regulations. Specifically tailored for industries with stringent regulations, such as financial services, insurance, and healthcare, Hark enhances decision-making processes in these critical sectors. In doing so, it fosters a more transparent and reliable methodology for making decisions based on AI.

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

Hark

Country

United States

Website

hark.com

Product Features

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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