Health Catalyst

Learn how to support health equity with patient engagement technology. Help patients attain their full health potential every step of the way by:

Healthcare today is often episodic, and patients’ conditions may develop or worsen needlessly for those facing barriers such as access to care, medications, healthy food, and other needs. The ongoing healthcare provider shortage also leads to delayed care and poor outcomes. Learn how patient engagement technology can help!

Healthcare organizations continue to navigate the complicated shift from fee-for-service reimbursement models to value-based care.

To successfully make that transition, population health management (PHM) is an essential tool to bridge gaps in care, reach underserved communities, and improve the health of at-risk populations.

Read the top customer success stories of data-informed improvement in the following areas: cost, revenue, clinical operation, and population health.

Healthcare leaders are finding now more than ever that engaging patients will be the key to retaining them in a healthcare environment in which choice will be a determining factor in market success. The Patient Engagement Executive Handbook from Healthcare Innovation is the definitive paper on all things patient engagement and will serve as the leading resource for healthcare executives to turn to for guidance along their journey of engaging patients.

Growing amounts of data can be overwhelming for healthcare entities to organize, manage, and distribute effectively, sometimes making data more of a burden than a benefit. However, if organizations adopt the right data mentality, they can gain insight into performance, track an intervention’s success, and improve outcomes. According to data experts, Bryan Hinton, our Chief Technology officer, and TJ Elbert, our SVP and General Manager of Data, organizations can apply five mindset changes to avoid data overload and achieve data-driven improvement:

1. Focus on data orchestration, not data computing.
2. Leverage real-time data, especially in a pandemic.
3. Prioritize data democratization over data control.
4. Use AI, if you’re not already.
5. Change current care models to fit the data.

Break free from the population health status quo of black box algorithms and shallow insights. In today’s value-based market, population health challenges demand technology that generates insights by aggregating data from all source systems, normalizing that data, and integrating clinical, financial, and operational data sets. Health systems that go beyond black box measurements by leveraging a far-reaching population health management solution transform healthcare and save millions by improving care for high-risk populations, thriving under value-based care, and reimagining care coordination.

Today’s healthcare data status quo of black boxes and shallow insights too often keeps organizations from realizing the digital era’s transformational potential. Without accessible, accurate, timely data, health systems struggle with challenges from patient outcomes and experience to profitability and, since 2020, COVID-19. Only with a commercial-grade data and analytics platform built exclusively for healthcare can organizations confidently scale analytics productivity to improve outcomes, respond to a crisis, and boost revenue.

From negotiating at-risk contracts to improving quality measures, population health initiatives require a flexible, adaptable data analytics platform. Learn how the most successful organizations are tackling these quality-related problems.

Learn how the most successful organizations are tackling cost-related problems through smartsourcing.

Learn how organizations have used analytics to pivot during COVID-19 and emerge better prepared for future emergencies and with vital long-term operational strategies.

Focusing on improving billing and collection processes can accelerate cash flow and significantly increase the availability of cash funds while also improving patients’ financial experience. Learn how most successful organizations are tackling revenue-related problems.

Learn how the Health Catalyst data platform brings healthcare organizations the benefits of a more flexible computing infrastructure in the cloud.

This handbook aims to provide practical and flexible guidance for your organization’s journey toward population health management, with a specific focus on the analytics to support this effort. We believe—and have seen among our client-partners—that when financial, clinical, analytic, and operational leaders work in an aligned way, they can succeed in achieving the promise of population health management: better care at lower costs, a stronger organization, and a healthier community.

This handbook presents our approach to addressing this challenge. It provides practical, flexible, and actionable guidance for executing a data governance program that aligns with the organization’s priorities, supports effective clinical and business decision-making, and maximizes the value of data to improve outcomes.

We believe that good governance is essential for transformational change in healthcare—for meaningful, sustained improvements in clinical, financial, and operational outcomes. This eBook introduces the main concepts informing our recommendations for governance.

This handbook is intended to be a practical, flexible, and actionable guide that can be adapted to meet your specific needs.

We intend this guidebook to be practical and actionable—but also flexible enough to conform to your organization's unique population health management goals, resources for care management, and vision for the role that care management can play in supporting population health. The recommendations in this guidebook are based on best practice, but aren't prescriptive "one size fits all."

This handbook covers topics like:

• Present and future challenges in the healthcare industry
• A systematic approach to improving quality healthcare services
• How to use data to measure and improve efforts
• The future of healthcare innovation

And so much more!