Value-Based Care

The Next Chapter of Enterprise Analytics for Healthcare Payers: 3-Part Blog Series:

Share this post:

Healthcare payers today are facing a changing healthcare marketplace that demands business model transformation and the redesign of operational processes. In this new paradigm, information-centric strategies that support data-driven decision-making across the enterprise can help payers compete.

In many cases, payers have the data they need, but they might struggle to analyze it. Existing analytics strategies that may be falling short include:

  •  Building and maintaining analytics in-house, which can consume valuable time and resources.
  • Deploying a best-of-breed approach, which can require health plans to piece together disparate methodologies licensed from multiple vendors, often leading to disconnected data and analytic context.
  • Outsourcing data analytics, which can limit payers’ ability to choose which analytics to run and when.

To help drive business transformation, payer technology and analytics leaders can increasingly leverage proven analytics in their own technology environments. This is an approach that can not only accelerate time to value, but can also help meet the reporting needs and requirements of business operations.

In this three-part blog series, we evaluate three considerations for payers that want to exploit this approach, including evaluation of their (1) enterprise data warehouse maturity, (2) data management practices, and (3) enterprise analytics roadmap.

Click here to read part one of this series, which explores the measurable characteristics payer technology leaders can use to assess their EDW maturity and identify opportunities for improvement.


More Value-Based Care Stories

How IHMI is Changing Health Care Delivery

Written by Watson Health | Blog Post, Cognitive Computing, Healthcare Data Analytics

A Q&A with James Madara, MD, CEO, American Medical Association on how health care delivery will be changing through an integrated-data approach model with IHMI. more

Artificial intelligence, machine learning and deep learning: What do they mean?

Written by Watson Health | Blog Post, Cognitive Computing

As the promise of AI continues to shape the way we think about delivering healthcare, it’s typical to come across terms like “machine learning” and “deep learning.” Too often, they are used as buzzwords that can be thrown around interchangeably. As a leader in AI development for decades, and with the power of Watson now more

Engaging Healthcare Consumers in an Evolving Ecosystem

Written by Watson Health | Value-Based Care, Webinar

In the third webinar in this three-part series with Dr. David Nash, Dean of the Jefferson College of Population Health, Bobbi Coluni, Vice President of Offering Management for IBM Watson Health joined to discuss consumer engagement from the perspective of both payers and health systems. more

VNA as the Foundation for Enterprise Imaging, Image Sharing, and Collaboration

Written by John Hansen | Blog Post, Imaging

This is the conclusion of a 4-part blog series covering the value of a vendor neutral archive (VNA). In case you missed the first three parts of the series, read Part 1, Part 2, and Part 3 here. Enterprise imaging and encounters-based imaging bring imaging workflows into any service line which generates any form of images, multimedia, or ‘unstructured more