Filter By “Mortality Data”

Mortality is a critical endpoint in health analytics. It should be one of the basic measures of treatment efficacy, public health policy, and protocol design.

Jacob Wallace, PhD; Anthony Lollo, PhD; Chima D. Ndumele, PhD In the US, COVID-19 is responsible for hundreds of thousands of excess deaths,1 which has led to considerable interest in strategies to mitigate its impact.

Over the last few years, connecting health data is evolving from innovation to standard practice. Pharmaceutical companies, health systems, government, payers, and analytics platforms connect data, creating a robust picture of patient health, to accelerate research, improve care, and lower healthcare costs.

This time, we’ll review new data available through Datavant’s ecosystem partners and its value in answering specific questions. As partners continue to join our ecosystem, there are more opportunities for health systems, insurers and biopharma companies to connect data that completes the picture of patient health.

Explore health data available through Datavant’s ecosystem partners and its value in accelerating research, improving care, and more.

Survival analysis is fundamental to countless areas of health research and treatment effectiveness studies. Analyses that consider only deaths recorded in the EHR under-represents true mortality.etc...

In this discussion, join Datavant, A3.AI, and the Columbia University Actuarial Science Program to learn more about the following topics:etc...