Improving Hospital Operations with Streaming Data and Real Time AI/ML
Summary
Providence built a real-time hospital streaming and forecasting platform using Azure, Databricks, and custom hl7 message parsers to address hospital overcrowding and improve patient throughput. The system ingests and processes streaming data from 52 hospitals to power machine learning models that predict patient arrivals, length of stay, and unit-level occupancy up to a week in advance.
Summary generated by brickster.ai from the video transcript.
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