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Power of AI and Data Analytics to Improve Patient Safety Risk Management with Jeff Surges RLDatix TRANSCRIPT
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Jeff Surges, CEO of RLDatix, offers global cloud-based solutions for risk management, compliance management, and regulatory management in healthcare. To address patient safety, Jeff emphasizes the need for a collaborative workforce, data analytics, and AI. RLDatix uses technology to automate information gathering, facilitate incident reporting, and analyze data to determine proactive actions to prevent incidents and improve safety.
Jeff explains, "The simplest analogy when I get asked this is: how does this relate to other industries? We all fly in airplanes, and we've seen in the airline industry most recently with doors coming off, the emergency exit doors, close calls, or what we'll call incidents where you need to look at the root cause. The key difference is if a plane goes down, as tragic as that is, the pilots and the crew go down. But in healthcare, if there's an incident or a procedure or an event that has occurred, it's likely only affecting the patient and the patient's family. That's not meant to say that people don't care, everybody cares, but it doesn't affect the entire circumference. What we try to do is make it automated, make it easy to use, engage with what we call a culture of safety, which starts at the very highest level, and then using data analytics, now, generative AI."
"For 20 years, an article written in our industry called To Err Is Human kicked off the energy around improving patient safety. I think the first phase of that for over ten years, 15 years, was just documenting the event after it happened. Let's document. Let's run around and automate, document, and report on it."
"Today, that's no longer the case. All of our customers and our industry want to prevent this. We use terms like highly reliable- I want to be an HRO, a highly reliable organization. We're competing on safety. Everybody wants to go to the safest place for care. We're trying to use data and analytics to both prevent and gain the insights to make sure that we can continue that not just one time. The data is telling us there are some decisions we can make in our policies and our procedures, in our staffing levels, and in our credentialing of staff to make sure that we can continue. So, going from reactive to proactive risk mitigation."
#RLDatix #ConnectedHealthcareOperations #PatientSafety #HealthTech #AI
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