Blog
The National Institute of Standards and Technology Privacy Framework
The National Institute of Standards and Technology (NIST) has released a request for information for the NIST Privacy Framework: An Enterprise Risk Management Tool (”Privacy Framework”). he purpose of the privacy framework is to improve management of privacy risk, which is a major gap across healthcare…
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Creating a Culture of Compliance in Healthcare Organizations through Collaboration
Over the last couple years, The University of Kansas Health System (”UKHS”) has leveraged Maize Analytics’ machine learning auditing system to help automate the manual processes surrounding access and authorization in its process to…
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Managing Healthcare Insider Security Threats
Often when discussing hospital security threats, external breaches are the main focus. However, recent evidence shows those breaches are not the biggest concern to hospitals - they’re more concerned with breaches that can happen within their own halls, by their own...
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Risks of ‘Black Box’ Machine Learning in Compliance and Privacy Programs
Recent machine learning advances have the potential to revolutionize patient care through better clinical risk prediction and precision medicine. Rightfully so, the compliance and privacy communities are adapting these machine learning…
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Often Forgotten Risk to Patient Data
Academic medical centers and health systems with large research groups present unique challenges for EMR access monitoring programs, according to a recent talk by Dr. Daniel Fabbri, Founder and CEO of Maize Analytics. Dr. Fabbri, also an Assistant Professor of...
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Passwords Aren’t Protecting EMR Data
Many healthcare systems rely on user IDs and passwords to control access to electronic medical records (EMR). These safeguards can help protect sensitive patient data. Unfortunately, many healthcare workers share passwords. In one study, 73% of healthcare workers...
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