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Thoughts from Datavant leaders on the evolving health data landscape

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

Executive Summary: Evolution of Health Data Regulation

The news today is full of discussions about data privacy and data protection legislation, with diverse views from policymakers, advocacy groups, and industry. For healthcare leaders, it can be challenging to keep track of what applies to your data, what changes are worth following, and how the final legislation could…

What the CCPA’s exemptions really mean for health companies

Last year, California passed the California Consumer Privacy Act (CCPA), which will go into effect in 2020. Widely seen as a “GDPR-light,” the law could have many implications on the healthcare industry, even though the law excludes certain types of health data. This article is an overview of some of…

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,…

“Why Datavant?” — The answer to the question I ask the most

“Why Datavant?” — The answer to the question I ask the most In virtually every one of the 111 job interviews I conducted this quarter, I asked: “so, why are you interested in Datavant?” I joined 5 months ago — I was recently on the other side of the table. I have thought a lot…

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;…

Applying the “Do No Harm” Principle to Health Data

At Datavant, we build software that makes it possible to share patient data securely, but our mission is bigger than that: to make it easier for players in the healthcare system to connect and use their health data for the good of patients. This mission requires a broad conception of…