Healthcare.AI Suite

The Healthcare.AI™ Suite by Health Catalyst provides one-button AI (augmented intelligence) access into existing business intelligence (BI) tools and applications; embeds statistical, AI, and healthcare rigor into your applications; and helps analysts produce higher quality, faster insights.

The Healthcare.AI Product Suite addresses Level 1: Analytics Integration of the Healthcare.AI Framework by enabling easy integration of AI into your existing BI tools and Health Catalyst applications.

The problem

Healthcare leaders face a long list of increasingly critical business issues affecting revenue, cost, and quality. The decisions surrounding these issues make analytics more important than ever, with stakeholders needing faster turnaround with smaller margins for error.

In response, many analytics leaders are now trying to integrate AI into their analytic processes. Too often, these efforts are unsuccessful. Leaders struggle to integrate AI into current tools, integrate or change workflows, and demonstrate the positive impact of AI.

Most analytics users prefer to integrate AI capabilities into their existing workflows, but few options exist to do so. Typical BI tools do not include AI capabilities, and most AI tools are standalone applications that require analysts to learn yet another program, language, or integration point. Both approaches limit the adoption of AI into key analytics workflows.

Our approach

The Healthcare.AI Suite provides easy one-click AI access into existing BI tools and applications. Once installed, it can be up and running and creating insights in minutes.

The suite embeds a blend of well-established and cutting-edge statistical and machine learning techniques into your BI tools and Health Catalyst applications and accelerators. This integration makes it easier for analysts to understand and use advanced statistical and AI features in their most common use cases, within existing workflows.

The suite also helps analysts produce higher quality and dramatically faster insights. The embedded rigor means analytics insights are more accurate, precise, and consistent than before, dramatically accelerating the delivery of analytic insights from months or weeks to minutes or seconds.

Benefits and features

• Work with your existing tools: Enhance your existing workflow with integrations for Power BI, Tableau, and Qlik, as well as Health Catalyst applications like Patient Safety Monitor, PowerLabor, and Pop Insights.
• Comparative Analytics: Answer your most challenging questions—such as which treatment option is best or whether an intervention had the intended impact—while controlling for potential confounders.
• Sparklines+: Gain better context for decision making by comparing many measures over time in a single visual.
• Statistical Process Control (SPC+): Draw more accurate and consistent conclusions more quickly with statistical process control integration.
• Time Series+ Outlier Detection: Leverage data to monitor vastly more aspects of the business with much more granularity via time series outlier detection algorithms directly.
• Forecast: Focus on performance trajectory and achievement rather than a single point in time using techniques that enable fully automated forecasting and direct control of parameters.
• Power Analysis: Set goals, expectations, and accountability targets with the most common statistical power analysis techniques.
• Forest Plots+: Understand system performance and direction to gain insights otherwise hidden in plain sight with forest plots.
• COVID-19: Make data-informed decisions during COVID-19 with algorithms that calculate and detect changes in measures of spread.

Use cases

• An analyst receives a request from a medical director to help show a decrease in 30-day heart failure readmission. In 30 minutes, the analyst combines SPC+ charts, forecast, and power analysis into their readmission BI tool. The analyst discovers that the system’s readmission rate was at goal already. Moreover, demonstrating the proposed stretch goal of a 10% improvement will take 3+ years to demonstrate based on historical volume and variation. In a joint session with the medical director, the analyst discovers an opportunity to improve follow-up visits despite being down 20% in care manager capacity. They achieve efficiency by deploying a more accurate risk prediction model for the care managers.
• Clinical, nursing, and quality leaders are charged with setting an annual focus with accountability targets for their multi-hospital organization. They note that the biggest negative event rate is heart failure readmission and are inclined to set that as their focus. In 30 minutes, an analyst loads their historical performance data, applies benchmarking from Touchstone^®, and feeds these into their Healthcare.AI-connected BI tool. They immediately see that heart failure readmission is one of their lowest opportunities for improvement. The greatest opportunity to improve the system is heart failure mortality—with no hospital’s current nor forecasted performance approaching goal. They also identify that their greatest variation and opportunity to spread best practices internally is pneumonia readmission.