Episode 32: Data Quality in Healthcare: Building the PIQI Taxonomy
Informonster Podcast
English - May 15, 2024 09:00 - 12 minutes - 8.67 MB - ★★★★★ - 11 ratingsBusiness Education healthcare it informonster symedical clinical architecture medicine terminology healthcare technology Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Episode 31: Data Quality in Healthcare: Decoding the PIQI Framework
In the third installment of the Data Quality in Healthcare series, Charlie Harp explores the taxonomy of the PIQI Framework. He breaks down the primary categories of 1.) Delivery and 2.) Intrinsic Issues, and shows how the subcategories a.) availability b.) accuracy c.) conformity and d.) plausibility are used to analyze and address data quality challenges.
Come back for part four where Charlie talks about Simple Assessment Modules (SAMs) and the elegant simplicity of recursive failure.
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