Driving Strategic Advantage Through Widespread Analytics Adoption

With the current state of uncertainty facing healthcare organizations, survival requires unprecedented agility when it comes to acquiring and responding to meaningful, strategic information. After adopting the Health Catalyst Analytics Platform, including the Late-Binding™ Data Warehouse and broad suite of analytics applications, Partners HealthCare promoted a philosophy of expanded access to the enterprise data warehouse (EDW) to increase adoption and self-service analytics to improve patient care and outcomes.

Partners needed widespread adoption of the EDW so that information could be meaningfully incorporated into strategic, clinical and operational decision making to support patient care. This meant that users who had a legitimate need to access data to support their job function were encouraged to seek access to the EDW. The organization continues to focus on further increasing the effectiveness of this strategy by ensuring that users have the means to acquire the skills, knowledge, and support they need to effectively use data stored in the EDW.

Results:

  • 243 percent increase in user base—achieved over a two-year period (700+ unique users).
  • More data available to a broader audience than ever before.
  • Physician time to access data reduced from weeks to clicks.
  • 87 percent of user community satisfied with the effectiveness of communication provided to support their use of the EDW.
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Other Content in Adoption

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Aiding Analytics Adoption Via Metadata-Driven Architecture: If You Build It, They Will Come

A key feature of effective analytics infrastructure in healthcare is a metadata-driven architecture. In this article, three best practice scenarios are discussed:

  • Automating ETL processes so data analysts have more time to listen and help end users
  • Using a metadata repository to enhance data literacy among users and improve trust in data, thus enabling data governance policies
  • Improving turnaround time for data analysts who support frontline staff who, in turn, monitor interventions based on evidence-based medicine that is constantly changing

The article unravels the components of the metadata-driven architecture as part of an overall analytics platform. Learn the methodology for creating faster data results, generating speed to value, and realizing systemwide analytics adoption.

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From Installed to Stalled: Why Sustaining Outcomes Improvement Requires More than Technology

The big first step toward building an outcomes improvement program is installing the analytics platform. But it’s certainly not the only step. Sustaining healthcare outcomes improvement is a triathlon, and the three legs are:

  1. Installing an analytics platform
  2. Gaining adoption
  3. Implementing best practices

The program requires buy-in, enthusiasm, even evangelizing of analytics and its tools throughout the organization. It also requires that learnings from analysis translate into best practices, otherwise the program fails to produce results and will eventually fade away. Equally important is that top-level leadership across the organization, not just IT, supports and promotes the program ongoing. We explore each of the elements and how they come together to create successful and sustainable outcomes improvement that defines leading healthcare organizations.

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Moving Healthcare Outcomes Improvement Projects to the Finish Line

There are many ways to approach outcomes improvement in healthcare. Health Catalyst advocates the three-systems methodology whose individual components remain firm: best practices, adoption, and analytics. There are also various ways to interpret the three systems and this article uncovers nuances in how they are defined. With this unique perspective, organizations may be better able to understand how to develop outcomes improvement projects that not only launch with enthusiasm, but sustain energy over the long-term. Furthermore, outcomes improvement done right is scalable so that small firms, those with fewer resources, can adapt the methodology to improve their performance.

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Outcomes Improvement Readiness: Learn Where Your Organization Stands

Healthcare organizations need to make lasting, systemwide improvements to make the transition to value-based care models. Starting this work is tough, but a new tool from Health Catalyst will show the way. This 25-question assessment based on an integrate literature review of outcomes improvement research, will show how organizations are performing in five main categories:

  • Adaptive leadership and culture
  • Analytics
  • Best Practices
  • Adoption
  • Financial Alignment

With this information, organizations can start on the path to sustainable outcomes improvement.

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Improving Patient Safety and Quality through Culture, Clinical Analytics, Evidence-Based Practices, and Adoption

According to the Centers of Disease Control (CDC), an estimated 70,000 patients die each year from hospital-associated infections (HAIs): contrast the CDC statistic with the fact that only 35,000 people die each year in the U.S. from motor vehicle accidents.  Learn key best practices in patient safety and quality including:  patient safety as a team sport, the added challenges of healthcare being the most complex, adaptive system, and how culture, analytics, and content contribute to improve outcomes and lower costs.

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