IQVIA Vigilance Detect

Automate your Adverse Event Detection

Any Source, Any Volume, Any Time

Manual adverse event identification is not a sustainable solution. Instead achieve safety compliance using an established system-agnostic adverse event software solution with over ten years of proven results globally.
IQVIA Vigilance Detect meets your unique needs according to the nature of your project, with the flexibility to provide remediation to address regulatory issues, analyze existing datasets, or continually monitor large volumes of unstructured digital data.

Watch a short, 3-minute demo below and get in in touch with an IQVIA expert.

Addressing the challenges with safety monitoring

IQVIA Vigilance Detect is the only technology-powered drug safety software solution that proactively identifies and validates safety risks from every known data source. It enables you to identify 100% of potential safety risks and eliminate up to 90% of the noise with data-driven, intelligent workflows. You see and can respond to the adverse events (AEs) that matter rather than treating every alert the same.

Using a combination of AI technology and hands-on IQVIA safety experts, the Vigilance Detect adverse event reporting system proactively identifies and validates safety risks from every data source in more than 50 languages, so your core safety processes are more strategic and efficient, and you are always in compliance.

Expand the functionality of Vigilance Detect by choosing from a number of offerings, such as the following two examples.

IQVIA Vigilance Detect Voice

Vigilance Detect Voice finds potential Adverse Events (AEs), product Quality Complaints (PQCs), and other safety risks within audio files.

It provides after-hours, hyper-care support and remediation support for safety teams and commercial and medical call centers using AI and live agents.

IQVIA Vigilance Detect Social Monitoring

Vigilance Detect Social Monitoring reduces the time and cost associated with manual review, enabling you to quickly identify adverse events within large amounts of social media and digital data.

This solution eliminates noise and redundant review by more than 60%, detecting potential safety risks in multiple languages (including common slang used on social media), and easily integrates into any safety ecosystem.

Avoids costly manual review of large bodies of data by humans

1.2M

patient safety records per year monitored by Detect resulted in

50%

cost savings in manual review of adverse events

Data Source: Patient Support Program

Consistent AE search resulting in higher reporting compliance and increasing patient safety

2.6M

social media records monitored annually by Detect covering 300 data sources in

31

countries

91

languages

Data Source: Social Media

Allows for greater digital patient engagement and patient centricity

>290K

diabetes patient messages with 445 AEs/PQCs identified in two years through the integration of Detect with virtual agent technology

Data Source: Virtual Agent (Chatbot)

Standardized approach to monitoring patient support programs globally - facilitates quick remediation when necessary

23K

rep call notes reviewed with 109 AEs identified

100%

accuracy using Detect

Data Source: CRM System

Allowing drug safety to focus on science of safety instead of manual review (high value tasks)

>850K

cases and 91 products reviewed by Detect in 30 days

100%

accuracy in identification of missed pregnancy reports

Data Source: Safety Database

IQVIA Vigilance Detect

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