Travis May

Thoughts from Datavant leaders on the evolving health data landscape

Our engineering and data science team keeps a separate blog here.

Introducing Datavant for Clinical Trials

We are excited today to announce Datavant for Clinical Trials, a solution that makes it easy for sponsors, CROs, and regulators to confidently bridge traditional clinical trial data with real-world data. This morning, we announced a multi-year strategic partnership with Parexel to roll out this connectivity solution across all of their clinical…

An Overview of Approaches to Privacy-Preserving Data Sharing

This is a non-technical survey of approaches to how “deidentification” happens in healthcare, pros and cons of a variety of approaches, and an overview of where privacy-preserving technology is headed. Thanks to privacy technology thought leaders Abel Kho, Andrei Lapets, Dan Barth-Jones, and Ian Coe (as well as internal experts…

Learning about my genetic mutation (BRCA2), and optimism for the future of health research.

Learning about my genetic mutation (BRCA2), and optimism for the future of health research Last month, I decided to try Color — one of several new personal genetic sequencing tools. Color screens for genetic mutations associated with various cancers and other diseases. As a health data geek, and as a patient with a…

A study showing real world use of “real world data”

Medical research is beginning to make use of “real world data,” the data generated from everyday visits to doctors’ offices by normal patients. A new paper in The Oncologist provides a powerful demonstration of how this data can be applied to real studies. *** The gold standard of medical research has…

Healthcare Predictions for 2019

Slowly but surely, the pace of change in healthcare is starting to accelerate, and 2019 will be a dynamic year for the industry with major regulatory, technological, and business innovation. There will be false hype, breakthroughs, the failure of traditional business models, and plenty of cross-pollination both within healthcare (payers,…

In the quest for big tech to break into healthcare, Amazon just broke away from Apple and Alphabet.

Last week, Amazon announced the launch of Comprehend Medical, a tool to mine unstructured health data from text. The press around the announcement jumped to the long-term implications of AI mining medical records, describing use cases where Amazon could support clinical decision-making (aiding in diagnosis, finding mis-diagnosed patients, etc.) and help…

The Health Analytics Ecosystem

This is part of a series of posts on how the health data ecosystem is organized. Datavant’s vision is to connect the world’s health data to improve patient outcomes and bring new treatments to patients faster. In our business, we see a wide range of health data sources and uses;…

Open vs. Closed Data Ecosystems in Healthcare

Earlier this week, Google, Amazon, IBM, Microsoft, Oracle and Salesforce announced their joint commitment to improving healthcare data interoperability. In other words, the biggest players in cloud computing have taken a small — yet critical — step towards an open data ecosystem. The technology world frequently oscillates between “open” and “closed” systems. Closed systems…

The Fragmentation of Health Data

A Survey of The Health Data Ecosystem At Datavant, we’re focused on the vision of connecting the world’s health data to improve patient care and speed the development of new treatments. As part of this, we put together an “ecosystem map,” outlining how data flows across healthcare today. *** Update (September 2019):…