Healthcare administrators have access to reams of data at their disposal to improve patient care. Developing the ability to use information in decision-making is the next frontier for healthcare administration programs, argues Dr. Edward Rafalski, health policy and administration, in his new book co-edited with Dr. Ross M. Mullner, a former associate professor of health policy and administration at the University of Illinois at Chicago (UIC) School of Public Health.
Their volume, “Healthcare Analytics: Foundations and Frontiers,” uses case studies to advance how information is modeled and analyzed in healthcare settings, calling for multidisciplinary healthcare analysts.
“If you haven’t been in the trenches, you don’t know what the practical barriers are to applying the science,” Dr. Rafalski said. “We’re hoping that this volume helps to develop a strategy for translational research that can take what you learn in the classroom and put it to use immediately on the job.”
The book draws connections between concepts in public health and healthcare and how data analysis can expand the information extracted from these concepts and situations. One chapter focuses on rising clinical risk, a concept that may be familiar to healthcare administrators, with modeling using algorithms to build data from rising risk situations.
Another section focuses on analyzing epidemiological data using mapping technology to pinpoint incidence of disease down to the level of census tract or city blocks to pinpoint and craft interventions.
“Now you are marrying the skill sets an epidemiologist has into healthcare management,” Dr. Rafalski said. “We’re not very good as an industry to learn from needs analysis and apply interventions to help bend outcomes.”Friday Letter Submission, Publish on October 18