I was pleased to be able to spend some time this week with the Statistical and Applied Mathematical Sciences Institute (SAMSI). If you are not familiar with SAMSI, it is a partnership of Duke University, North Carolina State University (NCSU), and the University of North Carolina at Chapel Hill (UNC) focused on statistical and mathematical sciences. They held a great conference this week on Advanced in Precision and Personalized Medicine, and I was fortunate to be able to share some of the progress we’ve made at UNC Health Care in unlocking opportunities in data sciences and analytics. It was impressive to see so many people convened together on this topic. I wasn’t able to stay long, but did get the opportunity to see Glen Colopy’s presentation on monitoring for clinical deterioration, which was excellent.
CIO Review recently published an article I wrote regarding how the health care industry can increase the value from their information technology assets. The article, called The Coming Era of High Performance Medicine, focusing on the intersection of enterprise architecture and data sciences.
UNC, Duke, and other universities in our state have a joint Health Informatics Research Seminar series, and they were kind enough to ask me to come share some thoughts on the state of the health analytics industry. You can see a recording of the talk titled Making Medicine Smarter Through Analytics and Data Sciences by clicking the seminar broadcast link.
Medical Informatics World asked me to deliver a keynote address on how analytics are evolving within the health and life sciences markets. They were nice enough to record the talk and post it to YouTube, so I’ve provided the link here. If you’d like to see the slides and hear the accompanying talk track in more detail, I’ve posted a slide recording to YouTube as well. The basic question I’m intending to address is whether medicine truly become a performance-driven industry.? The complexity residing at the intersection between the science of medicine, the delivery of health care services, and natural patient variation has made it difficult to scale organizational performance beyond the effectiveness of individual contributors. Yet other fields such as space exploration, battlefield operations, meteorology, financial services, and automotive racing have demonstrated that comparably complex systems can be characterized and even managed to very high levels of performance. By adopting similar capabilities in the context of population health, accountable care, and personalized medicine, my premise is that health and life sciences organizations can unlock a new era of clinical, financial, and operational high performance.
I also delivered a separate talk on enterprise architecture, which I will post separately later. And I got the opportunity to share the stage with some of my favorite industry speakers during two panel discussions.