Analytics Magazine Analytics Magazine, January/February 2014 | Page 54

ANALY TIC S & H E A LT H CA R E POPULATION HEALTH MANAGEMENT Population health management is about improving health outcomes for a group of individuals and removing health inequities. Caring for a population’s health is anything but trivial. A 1961 report, which was vindicated 40 years later in 2001, showed that only 27 percent of the patient population reports any health issue to clinical providers [2]. This means a health system managFigure 2: Steps in population health management. (Source: Population Health Management, Institute for Health ing a large patient populaTechnology Transformation) tion having one or more chronic conditions often does not have overweight and a smoker, and 3) patients access to accurate information about its who are relatively healthy with low utilizapatients. It takes patient data, interoperation of the health care resources. bility and analytics to address this problem. The middle group is the largest group, As Figure 2 demonstrates, many steps and Lisa Bielamowicz, M.D, chief mediand tasks are involved in managing popucal officer of the Advisory Board Comlation health effectively. The application pany, described them as the “rising risk” of health IT systems such as electronic patients. It’s just a matter of time before medical records (EMR), telehealth, disthey become part of a high-cost patient ease registries and analytics is a mandacluster. Effective management of this tory requirement for success. Any given group is important to reduce the health population can be divided into three main system’s total-cost risk exposure. Findclusters: 1) patients with high utilization ing out who they are and when they need of health care resources, 2) patients with intervention is a key to managing a risktwo or more primary diseases, typically based payment model [3]. Unlike bringing 54 | A N A LY T I C S - M A G A Z I N E . O R G W W W. I N F O R M S . O R G