Read any healthcare journal or newsletter and you’re likely to find a discussion about “big data.” As industry experts weigh in on what constitutes big data and how best to use it to improve healthcare, two important questions must be asked: Is the data clinically meaningful? Is the objective realistic?
A recent issue of Medical Care featured a lead commentary by Greg de Lissovoy, PhD, that trumpets the accomplishments of big data in a study reported in the same issue. In the article “Identifying Patients at Increased Risk for Unplanned Readmission,” researcher Elizabeth Bradley, PhD, and her co-authors describe the Rothman Index (RI), a predictive analytic tool that they claim is able to predict readmissions at the individual level. Continue reading