Ministries of health have more data than ever before—and the amount of data is increasing at an exponential rate. But what good is all that information if it’s unwieldy or difficult to use? Over the course of nine weeks, IntraHealth International’s digital health team and staff from our Regional Health Integration to Enhance Services in Eastern Uganda (RHITES-E) project modeled a machine-learning approach to glean insights from the flood of...