Enhancing Healthcare Outcomes Through Predictive Readmission Risk Analysis with AWS
It is well understood that hospital readmissions can significantly affect patient outcomes and the financial stability of healthcare providers around the world. In the United States alone, the Agency for Healthcare Research and Quality (AHRQ) has reported that readmissions represent some of the most expensive clinical events, with costs exceeding $41.3 billion. Providers are increasingly seeking solutions to mitigate these expenses. For a deeper dive into this topic, check out this related blog post here.
Transforming Customer Engagement in Utilities with Amazon Connect
by Sarah Thompson and David Ellis
on 05 MAY 2020
in Amazon Connect, Amazon Machine Learning, Amazon SageMaker, AWS Big Data, Industries, Intermediate (200), Power & Utilities
Utility executives often rely on a set of common performance metrics when communicating with stakeholders, including customers, regulators, elected officials, and investors. Regulated investor-owned utilities prioritize long-term indicators such as regulated rates of return (ROR) and service reliability metrics like the Customer Average Interruption Duration Index (CAIDI). On the other hand, energy retail executives focus primarily on customer satisfaction (CSAT) scores and customer retention metrics. For an expert perspective on how to improve customer experience, visit this resource.
Anticipating Energy Demand with AWS Machine Learning and Data Lakes
by Emma Foster
on 20 APR 2020
in Amazon Forecast, Amazon Machine Learning, Amazon SageMaker, AWS Big Data, Industries, Intermediate (200), Power & Utilities
Executives in the utilities and energy sectors face continuous demands for accurate energy usage forecasts. For instance, as the chief customer officer, teams can utilize energy predictions at the household level to proactively notify homeowners of high billing alerts and anticipate pre-pay or end-of-month energy costs. As the head of energy operations, leveraging these forecasts can significantly streamline service delivery. For further insights on effective forecasting, explore this excellent resource here.
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