Case Study: LOGEX improves healthcare data quality with Great Expectations

How LOGEX safeguards healthcare data with GX

LOGEX, a healthcare technology and data company based in Amsterdam, needed to ensure the quality of highly varied hospital data used across its Healthcare Intelligence Suite. With datasets coming from multiple countries, languages, and standards, the team faced challenges around missing values, inconsistencies, and the need to validate data quickly before it moved into downstream reporting and decision-making. LOGEX used Great Expectations’ GX Core data quality framework to help address these challenges.

Great Expectations helped LOGEX build a Python backend application that proactively validates incoming data, flags issues early, and lets analysts and customers inspect and correct problems before resubmission. Using prebuilt and customized Expectations, plus flexible parameterization for context-aware checks, LOGEX improved the reliability of its healthcare insights and analytics. The impact is significant: LOGEX supports healthcare providers across 10 countries, serves 1,300+ customers, and its data influences funding decisions worth €100 billion.

Logex

Maria Zilli

Data Engineer