Data Quality Challenges
Nate and his team faced significant hurdles in booking healthcare appointments due to the overwhelming inaccuracies in provider data. With a staggering 50% of healthcare data points being incorrect, they realized the need for a robust data API that leverages machine learning to enhance data reliability. Their mission evolved from simply improving appointment bookings to tackling a systemic problem in healthcare data quality.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 561: Engineering Data APIs — with Nate Fox
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