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For Health Data Interoperability, Healthcare Organizations Need Machine Learning

Health data interoperability has been a goal in the US for decades. While the CMS ruling on data interoperability is definitely the right driver for industry-wide data standardization, data governance in healthcare will always face a variety of difficulties for…

Jan 12, 2021 Insights

Implementing DataOps in Life Sciences

The amount of clinical data is compounding at an astonishing rate. Largely, this is due to our increased ability to generate and collect vast amounts of data that was previously left untouched. While this new data holds tons of potential,…

Nov 25, 2020 Featured Content

Finding more value from managed care data across an organization with Tamr

In a previous post, I wrote how life science companies can gain an edge on their competition by constructing a well-laid foundation of curated data for each entity in the very complex managed care ecosystem. While this may not be…

May 15, 2020 Featured Content

Effective Data Mastering at Scale for Managed Healthcare Organizations

The managed care business is complex. Tamr can help with that complexity. While we may try to explain managed care as the interactions among patients, providers, and payers, industry experts know there are much more layers and vehicles involved. The…

Mar 6, 2020 Featured Content

All’s FAIR in Life Sciences

The FAIR data principles are finally emerging from the halls of academia to find their place in the commercial world. And not a moment too soon for life sciences businesses, as they begin to treat their R&D data as first-class…

Dec 17, 2019 Featured Content