Tag Archives: Clinical

Big Data and Clinical Meaning

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

Clinical Categorical vs. Regression Based: Understanding classification system fundamentals

Increasingly, policymakers are focusing on outcomes as the ultimate goal of health care delivery. We’re pleased to see this trend and we have developed classification systems to help achieve an outcomes-based focus.

All classification systems categorize patients into groups. But not all classification systems are the same. In this and future blogs, we’ll look at the clinical distinctions in the approaches to case mix and classifications systems.

Nearly all classification systems have these characteristics: Continue reading