WHAT IS DIFFERENTIAL PRIVACY, AND WHY IS IT NEEDED?

We can all agree that privacy is a good thing; but what does it really mean, especially in the context of machine learning and data sharing? Human beings are adept at dealing with the ambiguities and nuances of language, but if we are going to try and commit our intuitions to code, we have to be much more precise. This can be surprisingly tricky, and it is illustrative to consider a brief history of technical approaches to data privacy. Read More

EVALUATING AND OVERCOMING THE LIMITATIONS OF SYNTHETIC DATA

As the need for balancing data value with data privacy grows, there has been an influx of offerings claiming to provide “synthetic data” as a solution. Oftentimes, “synthetic data” is described as artificially generated data that contains “properties of the original data” without disclosing the “actual original data.” Read More

CMS Releases Finalized Rule on Interoperability

The CMS rule mandates that payers provide patients access to data through a Patient Access API and access to a list of in-network providers through a Provider Directory API. Read More

Artificial intelligence yields new antibiotic

A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria. Read More

Can a set of equations keep U.S. census data private?

The U.S. Census Bureau is making waves among social scientists with what it calls a “sea change” in how it plans to safeguard the confidentiality of data it releases from the decennial census. Read More

PRIVACY-PRESERVING ANALYTICS AT SCALE

Differential privacy is a mathematically proven standard of data privacy that ensures all data can be used for analytics and machine learning without the risk of compromising information about individual records. Read More

Understanding HIPAA: A brief overview

HIPAA is the Health Insurance Portability and Accountability Act of 1996, a law intended to make it easier for people to keep their health insurance when they change jobs. The law set standards for the electronic exchange of patient information, including protecting the privacy of such records. The U.S. Department of Health and Human Services issued the Privacy Rule to implement that aspect of the law, and its Office of Civil Rights is in charge of enforcing it. Read More

Summary of the HIPAA Privacy Rule

This is a summary of key elements of the Privacy Rule including who is covered, what information is protected, and how protected health information can be used and disclosed. Because it is an overview of the Privacy Rule, it does not address every detail of each provision. Read More

HealthDataBoard protects individuals’ privacy (PHI) while putting predictive power in the hands of those working to improve healthcare for the greater good.