Next-Generation Data and Analytics

The Foundation for a Data-Driven Future

Rigid, outdated data technologies and labor-intensive analytics practices stymie healthcare leaders’ improvement efforts and stand in the way of healthcare transformation. In today’s dynamic healthcare environment, a dynamic solution is critical for survival and success.

With a next-generation healthcare analytics ecosystem, leaders can drive measurable value and healthcare improvement, embed healthcare expertise into improvement initiatives, and convert data into actionable insights for end users.

Download Our eBook to Learn How Health Systems:

• Optimize Clinical Outcomes: Improve decision support and eliminate unwanted care variation to deliver on your mission.
• Achieve Operational Excellence: Continuously streamline processes, reducing administrative burdens so that team members can work top of license.
• Deliver Financial Results: Identify your true costs of care and optimize labor productivity without compromising patient safety.

High-Value Data and Analytics

With an advanced data platform that can quickly and accurately convert increasing amounts of data into high-value analytics, health systems can arm every team member with the information they need to make data-informed decisions.

With systemwide access to actionable analytics, team members at every level of the organization can make better decisions more consistently and easily.

Self-service analytics promotes a data-driven mindset throughout the health system and even provides benchmarks so that end users can accurately measure success and improvement.

Measurable Improvement

See how Health Catalyst clients have achieved massive, measurable healthcare improvement:

• How UnityPoint Health effectively integrated AI into clinical care delivery and saved $32.2M in healthcare spending.
• How WakeMed Health & Hospitals adopted a robust analytics ecosystem and reduced costs by $10M.
• How Integris Health replaced resource-intensive processes with a modern data platform that streamlined data, saving $3M in labor costs.