Reflecting on HAS 21: 6 Key Takeaways

Posted in Feature Articles

Within the healthcare and technology industry, there are very few events dedicated solely to advancement of data and analytics in the healthcare industry. Health Catalyst has taken on the challenge of producing the Healthcare Analytics Summit (HAS) because we firmly believe that the best way to move the healthcare industry forward is through data and analytics-driven improvement. It is our aim to host the best healthcare data and analytics conference in the world, educate the industry on transformative opportunity of data and analytics, and meaningfully deliver on our mission of massive, measurable, healthcare improvements.

In achieving these goals, we can drive healthcare transformation and empower hospitals and health systems around the world to achieve their clinical, operational, and financial goals.

In the nearly three weeks since the close of HAS 21 Virtual, the Health Catalyst team has had time to sit down and reflect on the experiences and learnings during the event.

Here are the key takeaways:

  1. Multi-domain analytics
    Through case study presentations from healthcare organizations large and small, it was clear that the most successful organizations integrate data and analytics across multiple domains to achieve significant revenue, cost, and quality outcomes.
  2. AI and Analytics
    AI will be the foundation for moving to the next phase of Analytics, called “Augmented Analytics,” as advocated by Gartner.  Augmented analytics will enable analysts and business users to interpret analytic data better and make better decisions against a wider variety of use cases.
  3. Innovative Population Health
    Innovative, data-driven population health efforts are starting to bear surprisingly strong results. For example, Chester Ho, MD, Chief Medical Officer, Health Alliance, and April Vogelsang, RN, MS, Senior Vice President and Chief Clinical Integration Officer, Health Alliance Medical Plans and Carle Health, shared how, through the implementation of a new population health care model, the organization saw a 3-to-1 return on their investment, a 40 percent reduction in emergency department admissions, and a 30 percent reduction in readmissions.
  4. Clinical Analytics
    For healthcare organizations around the country, a successful response to the COVID-19 pandemic hinged on the health system’s ability to integrate and access data when they need it. This isn’t happenstance. Clinical analytics success requires meaningful leadership, organizational focus, and cultural adoption.
  5. Financial Analytics
    The shifting role for healthcare finance:  Playing to win with actionable data to take advantage of cost-transformative opportunities and combat disruptive care delivery innovators.
  6. Research Analytics
    COVID-19 and Operation Warp Speed, the U.S. government’s COVID-19 vaccine initiative, forever changed the clinical research paradigm. It’s time to consider new opportunities for high-quality data, the potential for cross-industry collaboration, and how these innovative partnerships can change the way providers and pharma work together.
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