Artificial intelligence (AI) has been known to enhance the speed, precision and effectiveness of human efforts, so it makes sense that AI has found its place in almost every industry. The healthcare industry has seen AI success in wellness and care reminders, clinical decision support, patient privacy and more.
Yet, there is still a lot of mystery surrounding AI – what is it, and how can you effectively leverage AI for your organization? The Fall Exchange session, Artificial Intelligence Unplugged: Not All AI Is Created Equal, brings together Steve Walker and Rich Murphy of iatricSystems to clear up common misconceptions.
Steve starts by explaining that the goal of AI is to help you do your job better and faster with the ability to look at a lot of data very quickly – “[Artificial Intelligence] adds intelligence to the evaluation of data. We can automatically look at the data that you've got in this giant pile and turn it into something meaningful by interpreting that data and finding what normal looks like and flagging abnormal items."
Rich explains how you can streamline patient privacy monitoring within a phlebotomy setting – “When a user goes into the hospital system to document a blood draw, the user accesses the patient’s charts and possibly does some other workflow around that patient’s chart.
On the patient privacy side, you might have five different events that revolve around that workflow. AI can monitor that, and if that blood draw between that specific user and patient was acceptable, then the programming can learn that over time.”
This repetitive learning and discovery of information allows your privacy team to trim down and pair the discrepancies that they might have had to review in the past.
Steve also shared a few real-world examples – “AI can understand patient data to make one clinical decision recommendation or a set of recommendations. AI can also look at data to estimate how much material you need to order to have on hand.”
Artificial Intelligence is also just a great time saver and allows privacy teams to focus on more strategic initiatives by getting them out of the weeds – “privacy teams view the same information over and over and by the time you look through a million lines, it's hard to recognize a pattern. With [AI] pattern and object recognition, once it knows what you’re looking for, the computer can do it over and over without missing things.”
Overall, as artificial intelligence continues to get smarter, privacy and security teams can continue to automate tasks to pinpoint and remediate risks faster for greater security. It’s clear that cybersecurity changes quickly – threat actors are always finding new tactics to take advantage of your users.
At iatricSystems, we want to make sure you have access to the information and expert knowledge to protect your organization today and in the future. You can also access all of the recorded Fall Exchange privacy and security sessions here.
If you want to know more about how AI can help with your privacy strategy, you can request a meeting, and we can review your top challenges.