Innovation fatigue can be defined broadly as a negative impression of what is characterized as innovation caused by the overuse of the term, poorly-executed initiatives, internal misalignment and innovation for the sake of innovation.
By now, if you have anything to do with taking care of patients, you have been bombarded with posts, blogs, white papers and seminars on customer service. The customer experience is not just about the patient, but also includes anyone who interacts or touches the patient in their care journey, including clinical, administrative, clerical and support staff.
Many years ago, a Yale medical student of mine asked my advice about becoming Surgeon General. Admittedly, I was and remain a second-rate source of guidance on that topic, never having been Surgeon General. I hasten to note that a close personal friend of mine has been, as has a different, former student of mine. But I was left to offer the best counsel I could absent any first-hand experience.
Business intelligence (BI) refers to the data analyzing and information presenting process enabled by information technologies.
I was privileged to speak this past week at a Lifestyle Medicine Research Summit convened at the University of Pittsburgh Medical Center. Along with the edification that came of listening to scholarly colleagues on various topics, I derived comfort from the table talk between sessions with expertly-informed friends who could share my grave concerns about the state of public and planetary health and the failure of our public policies to correspond.
I am going to go out on a limb- as in the photo- and contend that pretty much everything we’ve heard about “personalized nutrition” is just the kind of tree that makes it hard to see the forest.
Research finds that the U.S. innovation ecosystem has splintered since the 1970s, with corporate and academic science pulling apart and making application of basic scientific discoveries more difficult. The analysis also shows that Venture Capital (VC)-backed scientific entrepreneurship has helped to bridge this gap between corporate science and academia — but only in a couple of sectors. These findings suggest that if we want to see greater productivity growth, we need to explore alternative ways to translate science into invention.