Healthcare

Nowadays, hospitals and medical research institutes generate hundreds of Terabytes to Petabytes of patient data, including data from PACS (Picture Archiving and Communication Systems), EHR (Electronic Health Records), scanned documents, clinical images and reports, treatment prescriptions and laboratory results. However, healthcare data collection and acquisition tend to often introduce multiple types of error: missing values, typos, mixed formats, replicated entries, inconsistencies, and violations of business rules.

The objective of our research is to automate the assessment of healthcare data quality and provide tools and services for quality-aware querying, data analysis, and visualization.