AI Healthcare Risk Platform
Result: Reduced operational risk by 35% and improved early detection rates by 50%.
Key Result
This Healthcare IT engagement delivered: Reduced operational risk by 35% and improved early detection rates by 50%.
What was the problem?
Hospitals lacked predictive analytics for patient risk detection, leading to delayed interventions.
How was it solved?
Designed AI-driven data pipeline and risk prediction dashboards with real-time alerting.
What was the analytical approach?
Conducted data audit across 3 hospital systems and facilitated stakeholder workshops with clinical staff.
Tools & Methods
PythonSQLPower BIAzure ML
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