Inovalon Launches COVID-19 Compass Dashboard

Inovalon, provider of cloud-based platforms has launched its new Population Health Insights: COVID-19 Compass Dashboard. It provides data-driven insights to inform COVID-19 response plans with actionable intelligence pertaining to geographic areas with a high prevalence of COVID-19 infections and populations most at-risk. The dashboard aims to help plan strategies around preventative care, re-opening businesses, and managing overall healthcare system needs.

Leveraging Inovalon’s MORE2 Registry, the nation’s largest primary-source dataset comprised of data from more than 315 million patients and 55 billion medical events, the dashboard displays the near real-time prevalence of COVID-19 cases by county across the nation combined with a risk exposure score comprised from analyses of each underlying geographical region’s de-identified patient cohorts known pre-existing disease conditions, demographics details, and social determinants of health (SDOH) in accordance with recommendations from the World Health Organization, the Centers for Disease Control and Prevention, and from other sources of scientific guidance pertaining to factors of clinical health, demographics, and social determinants of health (SDOH) found to be relevant to COVID-19.

“Many health plans, providers, employers, and municipalities lack the infrastructure and means to integrate data from disparate data sources and provide this level of insight into a population’s relevant underlying disease burden, demographics, and socio-economic factors – all of which are critical pieces for responding effectively to the global pandemic on the respective local stage,” said Mike Burgin, executive vice president of products at Inovalon. “By providing these insights to the public, we can empower health plans, providers, employers, and government officials with another valuable tool to navigate decisions pertaining to re-opening commerce, pinpointing medical facilities and resources that may be most likely stressed, and geographies with individuals most at risk.”