Clinical Laboratories have the opportunity to support value based health care by aligning with organizational strategies that focus on population health and creating meaningful insights using real time longitudinal laboratory data. To provide diagnostic insights, laboratorians must move from providing results for a single patient, to a population focus for groups of patients. The presentation will include examples on how data can be positioned to support the screening, diagnosis, monitoring and intervention management for groups of patients with chronic and high cost health conditions. The use of Clinical Lab 2.0 concepts to frame the development of these population based initiatives will be discussed. Key components that will be highlighted are leadership, selecting population based initiatives, and items to consider when building an evidence base. Examples discussed will include risk stratification and identification of gaps in care. Partnerships, both inside and outside the laboratory, essential for these efforts will be described. Partner relationships with data analytics will be covered as one of the most important components to successfully deliver insights to a variety of stakeholders including clinical providers, healthcare administrators and health plans. Measuring the success of laboratory driven population health initiatives can be challenging and complex. This presentation will describe several measures that can be used to demonstrate value both clinically and financially. Barriers to population health initiatives will also be included in the presentation.
1. At the end of the presentation audience members will be able to identify several Clinical Lab 2.0 components that should be included when developing population health initiatives from laboratory data
2. At the end of the presentation audience members will be able to explain the role of key partnerships both inside and outside the laboratory
3. At the end of the presentation audience members will be able to describe at least 2 examples of how clinical laboratory data can be used to provide meaningful insights supporting population health.