Learn: AI and Data Science

Featured Content

Five Ways Healthcare AI Gives You Superpowers

As healthcare decisions, data points, and options increase, time, resources, and margin of error decrease. To succeed in this environment, leaders and analysts must know where to focus and how to allocate resources and set accountability targets. With Healthcare.AI™, five super-powered assistive augmented intelligence capabilities help healthcare leaders and analysts determine values, understand context, and provide data-driven motivation to transform healthcare:

Five Ways Healthcare AI Gives You Superpowers

Your AI Journey Starts Here: A Four-Step Framework for Predictive Analytic Success

COVID-19 has highlighted the imperative for health systems to proactively prepare for future scenarios. One way organizations can ready themselves is by using artificial intelligence (AI), such as predictive analytics, to forecast clinical, operational, and financial needs. While many health systems have the historical and current data they need for predictive modeling, they often lack the requisite analytics foundation and knowledge to begin any AI project, let alone predictive analytics journey. Data and analytics technology lay the foundation to support a health system for a successful AI pursuit, including predictive analytics. With the right tools in place, health systems are ready to follow the four-step framework.

Your AI Journey Starts Here: A Four-Step Framework for Predictive Analytic Success

Predicting Denials to Improve the Healthcare Revenue Cycle and Maximize Operating Margins

Healthcare financial leaders are constantly brainstorming ways to increase operating margins through better revenue cycle performance. These efforts often lead revenue cycle leaders to denied claims—when a payer doesn’t reimburse a health system for a service rendered. Although denials are a common reason for lost revenue, experts deem nearly 90 percent avoidable. Effective denials management starts with prevention. Organizations can use revenue cycle performance data, combined with artificial intelligence, to predict areas within each claim’s lifecycle that are likely to result in a denial. With denial insight, health systems can optimize revenue cycle processes to prevent denials and increase operating margins.

Predicting Denials to Improve the Healthcare Revenue Cycle and Maximize Operating Margins

AI-Powered Benchmarking Transforms Data into Insight, Improving Organizational Effectiveness

Healthcare organizations have a vast amount of data available. Data need to be converted into better decisions regarding organizational focus, resource allocation, and setting and driving toward appropriate targets to optimize performance. Beyond significant data integration and transformation, optimal leadership decisions require a broad perspective and cutting-edge analytics. Previously, INTEGRIS Health had high volumes of data but lacked the insight it wanted to drive performance. By leveraging a robust analytics platform, INTEGRIS Health now has more comprehensive and better-integrated data coupled with the cutting-edge analytics it needs to make critical leadership decisions and drive daily performance.

AI-Powered Benchmarking Transforms Data into Insight, Improving Organizational Effectiveness

Discover More AI and Data Science Content

success stories tile

Success Stories

Learn how our partners have leveraged Health Catalyst offerings solutions to optimize healthcare delivery.

insights tile

Insights

Gain insights about the role of data in care transformation and outcomes improvement.

webinars tile

Webinars

Watch online seminars by healthcare experts about trending topics and healthcare best practices.

white papers tile

White Papers

Read detailed reports about using data to maximize resources and enhance system operations.

ebook and handbook tile

eBooks & Handbooks

Access digital content about the role data plays in empowering clinicians and patients to make informed decisions.

on demand video tile

Videos

Watch videos about the digital future of healthcare, quality improvement, and much more.