DrugCard supports pharmacovigilance teams by screening medical literature and helping identify potential adverse-event and safety information across publications. Regulated teams should define validated procedures, verify every source and translation, protect patient data, document review and audit trails, monitor recall, comply with reporting timelines, and require qualified pharmacovigilance approval for every safety decision.
Begin with authorized, minimal, non-sensitive inputs. Configure privacy, retention, permissions, quality, disclosure, export, moderation, security, and spending controls; compare outputs with authoritative sources and real requirements; correct errors; test integrations and automations in a limited environment; and retain accountable human approval before sending, publishing, buying, deploying, or making consequential changes.
DrugCard uses sales-led custom pricing. Countries, journals, products, users, screening volume, integrations, validation, onboarding, support, and regulatory requirements determine the quote.
AI output can be inaccurate, generic, biased, incomplete, stale, unsafe, insecure, or misleading. Review privacy, training, retention, copyright, consent, commercial rights, renewals, refunds, integrations, and professional limits. Security, health, education, surveillance, sales, and other high-impact work requires qualified human review.
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