Data Quality

Poor Data Quality, Weak Algorithms Lead to Patient Matching Issues

by Jessica Kent

Hospitals and health information exchanges (HIEs) still struggle with patient matching issues, with many citing data quality problems and poor algorithms as top barriers to patient matching, according...

Machine Learning in Drug Development Requires Data Access, Standards

by Jessica Kent

Machine learning algorithms have the potential to accelerate and refine the drug development process, but the industry should expand data access and create consistent data standards to ensure drug...

Health Information Governance Strategies for Unstructured Data

by Jennifer Bresnick

While electronic health records still have the potential to standardize care by enabling advanced analytics and informing clinical decision-making, much of the data held within these systems – and a large proportion of the data used...