Episode 33: Data Quality in Healthcare: How PIQI Measures and Assesses Data
Description
Are you tired of dealing with unreliable data that hinders your decision-making process? Join Charlie Harp, the host of the Informonster Podcast, as he explores issues impacting data quality and explains how Simple Assessment Modules (SAMs) function within the PIQI framework.
In the final episode of our Data Quality in Healthcare - PIQI Framework series, Charlie guides you through the intricacies of SAMs which are specialized tests designed to evaluate the quality of your data entities for specific use cases. Discover how these plug-and-play modules can seamlessly integrate into evaluation profiles, allowing you to assess your data against a battery of relevant criteria.
Charlie also explains the concept of evaluation profiles, which establishes a comprehensive framework for measuring and assessing your information entities. You'll learn how these profiles produce quality scores and provide detailed statistics, empowering you to make informed decisions based on reliable data.
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