ABSTRACT
Exploration begins by defining the essential questions to be posed and then using analytics and population health to answer questions which result in discovery. The concepts of lexicons, architecture, and data structure are fundamental to analytics and enable the creation of platforms that can coalesce, sort, and share information. Three big shifts in mindsets have influenced the world of data and analytics in the digital age: interlinking of data, embraced lack of precision, and respect for correlation. Population health can mean different things to different people but fundamentally it always includes four distinct components. They are patients, clinicians, care managers, and analytics. These can be used to drive high-value population health delivery through patient engagement using portals, education, and messaging, clinician decision support including risk scores, consolidated information, and bulk outreach, coordinated care management through integrated information, and analytics which uses dashboards, registries and reporting tools.
