Data Quality in Healthcare: PIQI Framework

It’s time to take a closer look at healthcare data quality. This episode is the beginning of a series related to the challenges that all healthcare professionals face in gathering, organizing, and using patient data. Join the conversation as Charlie Harp shares how we got to this place as an industry and a solution for measuring the quality of patient information. Listen now to learn about the Patient Information Quality Improvement (PIQI) framework and how it can be used to help healthcare professionals make better informed decisions ...

When looking for a practical way to assess the quality of patient information from external sources, Charlie Harp found that existing frameworks were either too general or too specific to certain databases or schemas. So, he created the Patient Information Quality Improvement (PIQI) framework. In the second episode of the "Data Quality in Healthcare" series, Charlie gives a high-level overview of the PIQI framework and shares some use cases for this structure. Tune in as he shares the ultimate goal for the framework which is to enhance the quality of patient information to provide better outcomes and care across the ...

Tune in as Charlie Harp unveils the rationale behind the Patient Information Quality Improvement’s (PIQI) streamlined data model, and explains how it turns complex patient information into an organized format. The next episode will cover the taxonomy that was used in the PIQI framework to identify the root causes of data issues and provide recommendations for improvement ...

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 ...

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 ...

In this episode of the Informonster Podcast, Clinical Architecture CEO Charlie Harp hands over the mic to our VP of Marketing, Jaime Lira, for a conversation about the evolution of the PIQI Framework. From its early beginnings as a taxonomy to its growing momentum across the industry, Charlie shares how PIQI has progressed, what’s coming next for the PIQI Alliance, and why standardizing patient data quality is more important than ever ...