Hospitals and healthcare systems strive to deliver exemplary patient care while navigating the complexities and associated risks of various procedures. How can chief executives, medical officers, and finance executives uncover riskier procedures and improve patient care…
How Preverity’s data distinctives drive superior AI—to reduce patient risk. I was recently asked whether Preverity competed with a technology company with AI in its name. While I was happy to be recognized for…
AWS points to Preverity as a model for using Gen AI to address real customer needs. In today’s blog, I share why AWS called out Preverity as a leader in moving Gen AI from hype to relevance through the customer use case. At Preverity, we’re always pushing the boundary for healthcare analytics, and sometimes, we…
There’s growing interest in clinical data that can pinpoint risk and enhance patient safety. I recently participated in the annual American Society for Health Care Risk Management conference with Larry Van Horn, Preverity’s CEO and Founder. The risk managers who…
As we speak with MPL carriers across the country, we hear their frustration with the current situation: it’s difficult to make a profit from underwriting medical malpractice. While MPL has been profitable for most of the past twenty years, recent years have been…
When it comes to patient safety, good intentions aren’t enough. Three ways to predict and prevent medical errors. As the ASHRM Annual Conference draws near, patient safety takes center stage in our endeavors at Preverity. Medical error rates remain alarmingly high…