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 HIPAA and OCR regulations to the back burner.

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 FairWarning as your own private investigator.

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16 Years protecting patient privacy

Years

protecting patient privacy

35% U.S. health systems monitored

%

U.S. health systems monitored

2 Billion patient data encounters analyzed per day

Billion

patient data encounters analyzed per day

800+ Hours per week investigating privacy incidents

+ Hours

per week investigating privacy incidents

Comply with Confidence

Healthcare providers are required to comply with the HIPAA Privacy Rule or subject themselves to penalties and potential criminal prosecution. Patient Privacy Intelligence helps you:

  • Proactively monitor user activity to demonstrate reasonable safeguards in compliance with HIPAA, 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.
  • Meet the requirements of OCR corrective action plans.

iSAI Global 2020 Healthcare Compliance Benchmark Study

of healthcare compliance professionals lack confidence that they can demonstrate effectiveness in monitoring high risk areas[i]

Protect Patient Privacy

For most healthcare organizations, protecting patient privacy is about more than compliance – it’s about trust. FairWarning combines rules and AI to detect the full range of bad behavior to reduce risk and build patient trust.

Why partner with FairWarning to protect patient privacy?

  • FairWarning knows what to look for to identify privacy violations. Our best practices, developed based on extensive experience, help customers detect the most common types of privacy violations such as snooping, inappropriate record modification, and data exfiltration.
  • Our Artificial Intelligence (AI) models, trained using the world’s largest and most extensive healthcare user activity data set, detect impermissible activity that is harder to predict but needs to be investigated.
  • We apply machine learning to the output from both detection approaches to tailor future output to your organization’s specific priorities and risk tolerance level.

“The combination of the technology and the human elements really can’t be understated.”

 Stephanie Musso-Mantione, Chief HIPAA Privacy Officer, Stony Brook Medicine

 

 

 

Prevent Violations

We see it in our data – FairWarning helps customers prevent violations by fostering a culture of privacy. We work with you to encourage employees to responsibly access data resulting in greater patient security, increased trust in your system and greater job satisfaction, too.

Our team of experts, which includes the industry’s only in-house managed services team, can help you:

  • Increase visibility and monitor activity.
  • Identify behaviors, individuals and departments that may need additional training.
  • Provide educational materials and training to close identified gaps.

…All of which help build a culture of privacy.

iiVerizon 2020 Data Breach Investigation Report

Almost half of healthcare breaches are caused by insiders[ii]

Use Cases


Catch Snooping

Catch Snooping


Protect patient privacy by identifying users looking at records of coworkers, supervisors, household members, neighbors, or VIP patients not as part of treatment, payment or operations.

Uncover Inappropriate Record Modification

Uncover Inappropriate Record Modification


Remove risk by finding users viewing, editing or canceling their own records.

Detect Data Exfiltration

Detect Data Exfiltration


Prevent fraud and identity theft by detecting users exporting records without permission to do so.

Spot Access by Terminated Users

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

Identify Compromised Credentials


Avoid a breach early by identifying potentially stolen or misused credentials accessing records.

Discover Anomalous Behavior

Discover Anomalous Behavior


Prevent major issues before they happen by leveraging AI to identify users acting sufficiently different from their peers or their own previous behavior.

WHERE COMPLIANCE, LEGAL AND INFORMATION SECURITY INTERSECT

WHERE COMPLIANCE, LEGAL AND INFORMATION SECURITY INTERSECT


Examine the critical capabilities a Patient Privacy Intelligence Platform can deliver to meet the business and technical demands faced by today’s care providers for regulatory compliance and information security.

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