Expanding its monitoring capabilities across all applications was top priority for Memorial Hermann to meet compliance requirements.

The challenge

With Cerner as their primary EHR, Memorial Hermann had selected to use Cerner’s P2 Sentinel product for proactive privacy monitoring. However, with hundreds of other systems, Memorial Hermann was concerned that they would not be in compliance with HIPAA and ARRA HITECH unless they expanded their monitoring capabilities to include the other systems.

Memorial Hermann Healthcare System is the largest not-for-profit healthcare system in Texas with a vast network of affiliated physicians and numerous specialty programs and services. Memorial Hermann’s Texas Medical Center is the teaching hospital for The University of Texas Medical School at Houston.

With Cerner as their primary EHR, Memorial Hermann had selected to use Cerner’s P2 Sentinel product for proactive privacy monitoring. However, with hundreds of other systems, Memorial Hermann was concerned that they would not be in compliance with HIPAA and ARRA HITECH unless they expanded their monitoring capabilities to include the other systems.

While in the market researching alternative solutions, Memorial Hermann consistently heard of FairWarning privacy breach detection. Memorial Hermann decided to evaluate FairWarning compared to their current P2 Sentinel solution, with the evaluation including product demonstrations, vigorous testing, and ultimately proving FairWarning was scalable and had the processing power to well-handle high volumes of audit log data.

FairWarning already knew how to retrieve the audit logs from our various systems, and what to do with the data, which was very attractive.

We’ve been really happy with the interaction between Cerner and FairWarning, and the ability to switch back and forth between those two servers when necessary.

Results? Today, FairWarning processes more than 200,000 events per hour, or nearly 6GB of data each day, providing Memorial Hermann Privacy and Security users proactive, automated alerting of potential privacy breaches.

The Results

  • Reporting across all clinical applications
  • Proactive breach detection
  • Advanced analytics with filtering using HR data, staff location and others
  • Fulfillment of Meaningful Use Stage 1 core criteria
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