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12:00 AM - NextGen UGM 2025
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NextGen UGM 2025
2025-11-02 - 2025-11-05    
12:00 am
NextGen UGM 2025 is set to take place in Nashville, TN, from November 2 to 5 at the Gaylord Opryland Resort & Convention Center. This [...]
Preparing Healthcare Systems for Cyber Threats
2025-11-05    
2:00 pm
Healthcare is facing an unprecedented level of cyber risk. With cyberattacks on the rise, health systems must prepare for the reality of potential breaches. In [...]
MEDICA 2025
2025-11-17 - 2025-11-20    
10:00 am - 5:00 pm
Expert Exchange in Medicine at MEDICA – Shaping the Future of Healthcare MEDICA unites the key players driving innovation in medicine. Whether you're involved in [...]
Events on 2025-11-02
2 Nov 25
TN
Events on 2025-11-05
Events on 2025-11-17
17 Nov 25
40474 Düsseldorf
Healthcare Consulting Services

Mede Analytics

Mede Analytics As a pioneer in healthcare analytics, our goal has always been simple: strengthen the business of healthcare in order to improve care. Since 1994, we’ve been merging this single-minded focus with leading technologies and a multidimensional understanding of healthcare to become a leader in performance management.Today, we provide enterprise-level solutions to over 900 clients in the US and UK, including hospitals, health systems, health plans, state Medicaid programs and more. They’re delivered by a team of experts who bring an unmatched depth of knowledge and healthcare experience to every aspect of care. With the industry’s leading cloud-based analytics platform, we have the power to analyze data in never before seen ways mede analytics

When it comes down to the most basic purpose of why organizations use analytics, it’s simple: they want to uncover insights that help them take the next best step or make the best decision. These healthcare organizations often need, however, all the components of the enterprise analytics story to be able to do that.

Unfortunately, few organizations today have that capability because of the fragmented nature of the healthcare analytics industry. There are hundreds of vendors claiming to do healthcare analytics in the market. Many of those vendors offer wonderful point solutions, whether it be for population health, revenue cycle management, cost and operations, or employer reporting. But this partitioning of analytics has led to organizations purchasing upwards of 20 or more different solutions.

Each niche solution is like a chapter in the entire book of the enterprise analytics story that the organization is telling. The problem in that scenario is that each chapter is from 20 different books and they don’t tell a comprehensive story. In analytics terms, those chapters are not interoperable.

Organizations with multiple niche solutions are faced with trying to stitch together chapters from different books to create their stories. One book is a mystery, the next a romance, the next is sci-fi and so forth. By the time a single story is created, the narrative is confusing, incomplete and utterly incomprehensible by end-users. Reading chapters from the same book, however, helps healthcare tell a comprehensive, single, trustworthy story. They can weave together insights from different chapters to arrive at the conclusion.

Why do healthcare organizations use so many different vendors? There are a variety of reasons, but these are the top two:What does having one book mean from an enterprise analytics perspective? With enterprise analytics, you are extending analytics across the healthcare ecosystem. You’ll be able to accelerate goals and solve business challenges, improve outcomes for providers, strengthen cost and quality for health plans, and create a single source of truth on one platform with interoperable solutions.

This becomes very costly for the healthcare organization, which is bogged down with lengthy implementations for each of these different solutions. Once the disparate solutions are stitched together, they generally aren’t working together or integrated, and lead to multiple different “sources of truth.” When executives attempt to piece this together at an aggregate level, it can become two weeks or longer to process the data or, worse, a complete inability to pull together what they need, leading to a lack of confidence in the results.

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