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Bernie Kuan

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

Using Tamr’s metadata enrichment, discovery, and standardization to unlock new possibilities in data management

At the genesis of any data-driven initiative or project, we must first find and access the relevant data in our organization to pull together. Better yet if the data we find can be inter-operable or re-usable across both new and…

Feb 11, 2020 Featured Content

Increase Searchability and Access in Data Catalogs and Metadata Repositories with Tamr Metadata Enrichment

With the intention of making data more FAIR (Findable, Accessible, Interoperable, Re-usable), organizations have invested a lot of time and money on software to identify and track datasets across existing data sources in the organization. Many software solutions promise a…

Jan 16, 2020 Featured Content

How to Tackle Volume, Velocity and Variety in Clinical Data Management

The digital transformation towards more agile, data-driven operations for clinical studies have been a critical part of every life science company’s roadmap as they build towards reducing the time and costs of drug development in order to get medical products…

Dec 13, 2019 Featured Content

Transforming Healthcare with the Tamr Real World Evidence Integration Solution

The digitization of healthcare has made a flood of real world data (RWD) available for collection and analysis. RWD comes from electronic health records, medical claims and billing systems, patient-generated data, product and disease registries, and many other sources. Once…

Jun 27, 2019 Featured Content

4 Key Challenges to Managing Meaningful Spend Analytics

To remain healthy and competitive, large enterprises require management and oversight over corporate spend throughout the organization. However, large multinational corporations continue to struggle with managing spend analytics to gain a consistent and meaningful unified view of spend throughout different…

May 30, 2019 Featured Content

A Data-Driven Approach to Taxonomy Design

Organizations classify and organize data around taxonomies to manage large varieties of business assets. Accurate, comprehensive taxonomies help organizations drive vital strategic insights and efficient operations around processes involving their products, asset inventories, spending, and more. However, organizations often fail…

May 21, 2019 Featured Content