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White Paper
Expedite Research Timelines, Optimize Research Design, and Improve Patient Outcomes Using a New Source of Research-Grade Data

Health Catalyst is committed to supporting life sciences organizations in expediting research timelines, optimizing research design, and improving patient outcomes through access to a new source of research-grade data, rapid cohort creation, automated patient engagement, and augmented intelligence. 

White Paper
Expedite Research Timelines, Optimize Research Design, and Improve Patient Outcomes Using a New Source of Research-Grade Data
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Insight
Better Clinical Decision Support for COVID-19: Identifying Patients at Highest-Risk

Estimates place the in-hospital mortality for patients with COVID-19 between 15 and 25 percent, making early identification of individuals at high risk an imperative. Clinicians need reliable tools to identify individuals at the highest risk of severe deterioration. Risk-scoring tools exist for common acute conditions (such as septic, hypovolemic, or cardiogenic shock), but these methods don’t focus on COVID-19’s primary clinical impact—respiratory function. As a result, patients experiencing severe symptoms of COVID-19 may appear stable according to vital signs, such as heart rate and blood pressure, when they’re in fact critically ill. A more evolved approach to COVID-19 risk scoring focuses hypoxemia, or a below-normal blood oxygen level.

Insight
Better Clinical Decision Support for COVID-19: Identifying Patients at Highest-Risk
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On-Demand Webinar
2022 and Beyond: Navigating the Road Ahead in Healthcare

With 2021 coming to a close, it’s time to get ready for 2022. Join Stephen Grossbart, PhD, and Bobbi Brown, MBA, as they tackle the challenges of what’s next for healthcare in the new year and why data and analytics are foundational to your success. Dr. Grossbart and Bobbi will review the trends and policies most impactful to the industry and offer actionable, long-range insights to help organizations navigate successfully from 2022 to 2030. 

On-Demand Webinar
2022 and Beyond: Navigating the Road Ahead in Healthcare
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Insight
The Four Pillars of Successful Self-Service Analytics in Healthcare

To ensure self-service analytics success and avoid common pitfalls, healthcare organizations can focus on four pillars that build a strong self-service analytics foundation:

1. Develop a data-centric culture.
2. Promote data literacy.
3. Garner leadership support and ensure governance.
4. Define a business goal.

Insight
The Four Pillars of Successful Self-Service Analytics in Healthcare
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Healthcare Analytics Summit
HAS 21 Virtual in Review: Soaring Satisfaction Rates, Attendee Profiles, and More

Even virtually, transporting 3,000-plus healthcare leaders and activists across three international destinations is no small feat. Add world-class data and analytics insight and inspiration from healthcare and beyond to the voyage and you have a three-day journey of a lifetime—otherwise known as the Healthcare Analytics Summit™ (HAS) 21 Virtual. The 2021 edition of healthcare’s premier analytics summit once again gathered innovators and heroes from around the globe to explore multi-domain analytics as the framework for a winning team approach to healthcare transformation.

Healthcare Analytics Summit
HAS 21 Virtual in Review: Soaring Satisfaction Rates, Attendee Profiles, and More

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