Datavant Research Portfolio

Datavant supports transparent research that utilizes real-world data in a privacy preserving manner. Below, we highlight research efforts that have used Datavant technology to link real-world data for the benefit of patients and the public good.

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The Impact of COVID-19 on the Use of Preventive Health Care

Katie Martin, Daniel Kurowski, Phillip Given, Kevin Kennedy, Elianna Clayton

HCCI’s work shows submitted claims for most preventive services we examined, such as mammography and childhood immunizations exhibited significant declines in 2020 compared to 2019, particularly mid-March through mid-April. Even by June 2020 utilization of many preventive services appeared to be running below 2019 levels

Analysis of Electronic Medical Record Data Shows Significantly Higher Rates of COVID-19 Infection among Hispanic and Black Patients

Daniel Kurowski, Katie Martin, Anna Milewski, Angela Pupino, Niall Brennan

For the sample population, the disparity in infections among Black and Hispanic communities is significantly higher than most current assumptions. Additionally, patients presenting in an office or clinic setting who test positive are more likely to be younger and less likely to be older than 65.

Further Evidence That COVID-19 Disproportionately Impacts African American, Hispanic, and Low-Income Populations

Dustin D. French, Andrew Chin, and Pooja Kathail

Utilizing consumer data, mortality data, and medical claims data from the COVID-19 Research Database, French, Chin, and Kathail helped quantify the disproportionate impact that COVID-19 has across different racial and socioeconomic groups. For instance, the bottom quartile of income distribution (under $49,000 in annual income) have 30 percent of COVID cases and 46 percent of COVID deaths. Meanwhile, the top quartile (over $144,000 in annual income) had only 11 percent of COVID deaths.

Socioeconomic Network Heterogeneity and Pandemic Policy Response

Mohammad Akbarpour, Cody Cook, Aude Marzuoli, Simon Mongey, Abhishek Nagaraj, Matteo Saccarolak, Pietro Tebaldi, Shoshana Vasserman, and Hanbin Yang

Researchers from Harvard, Stanford, the University of Chicago, and Berkeley created a methodology for deciding which locations in a city to re-open and which to keep closed. The authors utilized a wide variety of data sources to build their models, including electronic medical records from the COVID-19 Research Database. After its completion, the model was then tested across three different cities: Chicago, Sacramento, and New York.

Showing 1-4 of 22 Studies