Patient privacy intelligence
Protect personal health information
Protecting patient privacy is not only the best thing do to – it’s the right thing to do. However, tight budgets and staff limitations can inadvertently relegate data protection regulations and other information governance protocols to the back burner.
Imprivata FairWarning provides the most comprehensive, most established privacy monitoring solution available. Our industry-leading platform can help you tackle the full expanse of your challenges related to protected health information (PHI), including compliance, security, and violations. Think of Imprivata FairWarning as your own private investigator.
US health systems monitored
Hours per week investigating privacy incidents
Patient data encounters analysed per day
Healthcare providers are required to comply with the GDPR or subject themselves to penalties. Imprivata FairWarning Patient Privacy Intelligence helps you:
- Proactively monitor user activity to demonstrate reasonable safeguards in compliance with GDPR, thus avoiding lawsuits, fines and headlines
- Save time with built-in, robust governance reporting
- Streamline patient and employee complaint investigations with our full-lifecycle platform for privacy and insider threat detection and incident management
How Imprivata FairWarning maps to GDPR
Imprivata FairWarning maps to four core articles of GDPR. For a comprehensive guide on how Imprivata FairWarning fully or partially maps to the security framework, download the GDPR Mapping Guide.
Grow trust between patients and clinicians with patient privacy intelligence
Imprivata FairWarning Patient Privacy Intelligence is a full lifecycle privacy monitoring platform that helps you establish a culture of privacy, security, and compliance to grow trust between your patients and providers. Discover the benefits and key capabilities.
Protect patient privacy by identifying users looking at records of co-workers, supervisors, household members, neighbours, or VIP patients not as part of treatment, payment or operations.
Uncover inappropriate record modification
Remove risk by finding users viewing, editing, or cancelling their own records.
Detect data exfiltration
Prevent fraud and identity theft by detecting users exporting records without permission to do so.
Spot access by terminated users
Protect patient privacy and avoid fraud by catching former or inactive employees accessing clinical applications (or attempting to do so).
Identify compromised credentials
Avoid a breach early by identifying potentially stolen or misused credentials accessing records.
Discover anomalous behaviour
Prevent major issues before they happen by leveraging AI to identify users acting sufficiently different from their peers or their own previous behaviour.