5 FAQs about data fabric

Data fabric is a term that is growing in recognition throughout technology spaces, but most healthcare leaders still have questions about what data fabric encompasses and why it matters for their organizational success. In this blog post, we’ve distilled a compelling conversation between MedeAnalytics leaders Andy Dé (Chief Marketing Officer), David Bartley (Chief Product Officer), and Sree Ghantasala (Chief Technology Officer) to bring you answers to the 5 top data fabric FAQs we receive from our clients.

Before diving in, remember that data fabric is, as IBM defines, “architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of an intelligent and automated system.” To put it more simply, think of the different threads of the data fabric (e.g., interoperability, visualization, predictive analytics, augmented analytics, benchmarking) woven together to create a unified, comprehensive view of all the information your teams need to make smart, high quality decisions.

FAQ #1: Is data fabric critical to growth or more of a ‘nice-to-have’?

Most analytics innovations have been perceived as add-ons more than essentials, but this tide of opinion is rapidly changing. In fact, it’s estimated that by 2025, 80% of all chief data analytics officers will have adopted data fabric as a core element of their value-based care advancement strategies.

Data—particularly in healthcare—is always coming from different places, in different formats, with different access procedures and different interpretation guidelines. To understand and apply data holistically, healthcare organizations must adopt a more interoperable, seamless and comprehensive approach to data sourcing, data integration and data management.

FAQ #2: What happens if we change vendors or switch data collection processes? Is data fabric going to stick with us through those shifts?

We can’t speak for all technologies, but MedeAnalytics’ data fabric is designed to evolve with any vendor or process changes payers and providers make. Our agnostic approach to data aggregation and analysis allows us to work with diverse partners across the ecosystem, ensuring that your investments sync and are future-proofed. Technology advances quickly and standards are always in flux, so it’s critical to have a flexible data fabric that can grow with you.

FAQ #3: How does data fabric contribute to value-based care initiatives and population health goals?

Healthcare is incredibly personal, and a value-based, population-driven approach to it requires organizations to tailor objectives and measures to their locations and communities. The secure yet flexible nature of data fabric allows payers and providers to accelerate and augment their existing efforts without disrupting workflow or wasting time. Additionally, the cloud infrastructure of data fabric enables easier scalability and adaptability. These advantages are crucial for improving working relationships between payers and providers as well by consolidating the most important information to support quality, analytics-driven decision-making.

FAQ #4: What do data fabric and AI have to do with each other?

While data fabric architecture brings all your necessary components together, AI helps you get the most out of them. AI relieves burden and enhances efficiency for your teams by proactively assessing the data and offering valuable suggestions for next steps. Think of the way Amazon shows you customized suggestions—based on your behavior and input—for what you may want to look at or consider buying. AI plays a very similar role by building on the broad base of information within data fabric and drawing your attention to key trends, indicators and intelligence that would have taken weeks and many resources to surface otherwise.

FAQ #5: What does data fabric do for executives? Or, is it just helpful for end-users and managers?

The foundation of data fabric—and the powerful analytics solutions that are constructed on it—have immense potential to support real-time decision-making at all levels. For executives, a unified data fabric enables the creation of a single, simplified strategic dashboard to track initiatives across the organization and drive consensus and consistency throughout the C-suite team.

These FAQs are just a glimpse at the elaborate entity that is data fabric. Contact our team to have a 1:1 consultation about what you could build on MedeAnalytics’ data fabric foundation.

Editorial Team

MedeAnalytics is a leader in healthcare analytics, providing innovative solutions that enable measurable impact for healthcare payers and providers. With the most advanced data orchestration in healthcare, payers and providers count on us to deliver actionable insights that improve financial, operational, and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.

Get our take on industry trends

Introduction to social risk: What healthcare leaders need to understand

September 27, 2024

‘Social determinants of health’ has been a common phrase for decades now, but the term social risk is much less…

Read on...

AI is your new crystal ball: How predictive analytics can reduce denials

September 23, 2024

The idea of having a crystal ball to better understand what claims will be denied is an awesome concept. But one we can’t rely on. Thankfully, we have predictive analytics to take the place of a crystal ball.

Read on...

3 ways to reduce friction in payer-provider relationships

August 14, 2024

The dynamic between healthcare providers and payers has historically been quite strained. Though both parties are interested in improving the…

Read on...

Position your organization for success under CMS-HCC V28

August 6, 2024

The transition from CMS-HCC V24 to V28 heralds a significant shift in risk adjustment methodologies and emphasizes improved accuracy and…

Read on...