ABOUT DATAVANT

The best decisions in healthcare are made with data. Unfortunately most healthcare data is fragmented, kept in different data silos like electronic health record systems, payer claims databases, and lab organizations. Datavant helps connect the world's healthcare data to improve patient outcomes with the largest ecosystem of healthcare data partners.

Through a privacy compliant technology, Datavant connects real world data from more than 500 healthcare data partners, enabling researchers to connect more patient data to augment their studies.

Dozens of healthcare analyses are enabled when healthcare data is connected such as: clinically nuanced comparative effectiveness and cost burden studies, Phase II and III registration trials and even Phase IV safety studies. Some examples of how researchers use Datavant include linking clinical trials to:

1) mortality data to understand long term survival

2) EHR data for long term effectiveness and safety.

3) claims data to understand healthcare utilization prior to, during and after the trial has closed.

Datavant's software has also been used to tokenize data from different oncology EHR vendors to create an external control arm with confirmed unique patients.

Tokenizing clinical trials entails the application of a de-identified encrypted token to each trial patient so that patient's data can be found and linked from other data sets like EHR, claims, mortality, social determinant data, while maintaining privacy compliance.

Learn more about how Datavant can help life sciences researchers, CROs, digital health applications and device manufacturers connect their trial data to other real world data to enrich and extend research insight.

CONTACT INFORMATION

Datavant

44 Montgomery Street, Floor 3

San Francisco, CA 94104

UNITED STATES

Contact: Elenee Argentinis

GUEST BLOGS

  • In this blog, Professor Oster and Representative Underwood lay out the plight of maternal death in stark numbers and the human impact.

  • The United States’ health care system is one of the most technically advanced in the world, yet is struggling to answer even simple questions about COVID-19. Despite millions of data points in the real world, billions of dollars of research money, and trillions of dollars of economic impact, there are a number of basic questions that we still cannot answer.

  • The explosion of healthcare data and analytics over the last decade has made possible a new paradigm for clinical research that incorporates information from beyond the clinical trial context — although many frictions have made this difficult to put into practice. At scale, real-world data (RWD) promises to make clinical research cheaper, faster, and more accurate. In this blog we explore challenges sponsors are currently facing when incorporating RWD and how we aim to help them overcome them.

  • While there have been significant improvements in how clinical trials are operated, there are still a number of challenges remaining for both clinical trial professionals and trial participants. The industry should think about the next generation of clinical trials and how seamlessly connecting clinical trial data to real-world data can improve clinical development success rates and propel innovation.

CASE STUDIES

FEATURED ARTICLES