Mathematica continues to partner with our clients and groups like the National Association of Health Data Organizations (NAHDO) to respond to the evolving COVID-19 pandemic, particularly in the area of data analytics. COVID-19 has affected health care administrative data, such as claims, in several ways. Notably, it has led to changes in diagnostic and procedural coding guidelines, payment policies, and shifts in case mix. Analysts, actuaries, and data scientists need this information to respond to these changes, but the information is scattered across many sources focused on specific topics (such as coding telehealth services in Medicaid claims).
In response, Mathematica created a COVID-19 Data Primer to:
- Accelerate updates to analytic, machine learning, and actuarial models to adjust their existing data pipelines and methodologies
- Rapidly develop and deploy new analyses and predictive models to capitalize on COVID-19 administrative and public-use data to support the pandemic response, provide guidance as social distancing guidelines are lessened, and create better tools to fend off a resurgence
- Guide users on how to link administrative data with publicly available COVID-19-relevant files and case study analyses
