James C. Robinson, PhD:
“Hospitals need revenues to finance operating expenses, to invest in new capacity, and to provide charity care for the uninsured, yet they receive payments from public insurance plans that lag behind the growth in the costs of care. Positive contribution markets on orthopedic and cardiac procedures for privately insured patients can be used to subsidize less remunerative procedures and patient groups. The average total margin for US hospitals in 2008 was 2.8%, according to American Hospital Association data, indicating the extent to which the double-digit contribution margins documented here are used to support other services. The extent to which the margins documented here are two high, too low, or just right depends on the mandates placed on hospitals by public policy, private litigation, and cultural expectations.”
In order to deal with this harsh set of circumstances, turning data into information should be a hospital’s number one financial goal. Hospitals need revenues to finance operating expenses and to invest in new capacity. In order to do so, hospitals need to be able to map their metrics by picking the top expenses that drive costs and, instead of analyzing spreadsheets to make decision, see how a hospital’s revenues impact those specific cost drivers. This ultimately leaves us with the contribution margin approach to the income statement.
Driver-Based approach: gross revenue – expenses (key drivers) = contribution margin
One of the most important points that Curtis (the doctor from the video) made was that financial leaders at hospitals cannot just use their own judgment. By using integrated advanced analytics, financial executives can turn data into information rapidly to not only understand the important components of their current key drivers but also predict the future through modeling with pro-forma statements. You can get to this point by integrating any current data source with business intelligence tools so that you can move away from the current Excel based world and have all of your data in the same place so that you are making important financial decisions using a single version of the truth. Any industry that is capital intensive, like healthcare, needs to use predictive analytics to be truly competitive.