When was the last time you watched your organization make an important, preventable error deriving insight from data? For most people, the answer is: within the last week. This is not surprising. 96% of people cannot correctly interpret a basic time-series line chart.

Healthcare.AI™ is a Microsoft Azure-based platform that offers both direct API access and BI integration via custom visuals. It provides correct, consistent, cost-effective analytic insights for common time series and grouped data.

If someone can build a PowerBI report, the person can operate at the level of a Master’s trained data scientist in minutes and with no additional training. If someone can consume a PowerBI report, the person has the equivalent of a Master’s trained data scientist in her/his pocket to guide interpretation.

The core capabilities are:

· Time Series+: Integrates statistical process control, automated changepoint detection, and forecasting

· Sparklines+: Scales Time Series+ across many series to see interrelationships

· Forest Plots+: Facilitates group comparisons and clustering for current and forecasted performance

All capabilities:

· Employ AI to automate analytic decisions (e.g., which type of SPC chart)

· Allow manual override of automation

· Provide numeric, visual, and natural language interpretation of results

· Leverage auto-scaling, cloud-native architecture

· Full BI integration (e.g., cross-filtering)

· Meet or exceed healthcare security standards for data in motion and at rest

· Routinely updated based upon user feedback

Alternatives:

· Wrong insights: Without analytic guidance, leaders continue to draw the wrong insights. Most BI developers lack the training and tools to support insights appropriately.

· Expensive staff: Hiring data scientists is expensive and does not scale.

· Tool bloat: Separate tools/plug-ins (e.g., Easy SPC by BCN, QI Macros, R, Statit) exist for individual areas such as statistical process control or forecasting but are not integrated with standard BI tools or with each other to provide comprehensive insights. Typically, they require expertise to make the correct analytic decisions and maintain over time.

Though developed for healthcare improvement, the tools and infrastructure apply equally well to other industries and roles from manufacturing process management to marketing consumer packaged goods.