According to Frost & Sullivan, Artificial Intelligence systems are projected to be a $6 billion dollar industry by 20211. In fact, if you Google “artificial intelligence” and “patient privacy” you’ll get at least 35,000 results. There’s been a lot of hype in the media recently about artificial intelligence (AI) and whether or not it’s good or bad for patient privacy. No matter where you stand on the topic, there’s no doubt that AI is already helping privacy auditors save time. Read on to learn how…
Today I realized that in September of this year, I will have been in Healthcare IT for 28 years. During that period of time, I've performed a number of jobs and learned many different things. I've been in both technical and non-technical roles, in staff and leadership positions, and had the pleasure of working with some amazing people in many different states. The greatest lesson I have learned along my journey is that people are the most important aspect of any successful technology project.
On August 14th at 2:00 p.m. ET, join me for "How the Human Factor Impacts Patient Privacy," an educational webinar where I’ll discuss a number of breaches and show examples of how the human factor was ultimately the root cause. Use the link above to register to attend, and read the rest of this blog post for the background to set the stage.
We all remember in 2005 when Amazon started tracking customer habits, and built sophisticated tools to recommend more purchases and direct your searches toward products it thinks you’re most likely to want.
That's the use case I think about when the subject of behavioral analysis comes up. The more the software can learn about the person, their demographics, their buying and web-browsing habits, the better Amazon can sell products to them.
I have spoken with a lot of patient privacy auditors and compliance officers, and the most common question that I get is:
“Where do I start?”
They go on to say, "Now that all the data is captured from the different systems that contain PHI, and we have information about the users and patients, what’s next?"
I recently read an article in Healthcare IT News, Myth busted: Machine learning software isn’t enough, and the title caught my eye.
Mac McMillan, CynergisTek CEO was quoted in the article, and brought up an interesting point of view about machine learning.
It has been more than a decade since the HIPAA Security Rule established technical safeguards which require organizations to audit access to electronic protected health information. Since then, auditing programs have continued to grow in size and scope.