This week’s Friday at Five highlights one of our limited series podcasts, the Informonster Podcast, a podcast about the Healthcare IT industry hosted by Charlie Harp, CEO of Clinical Architecture. This podcast fosters an educational and professional discussion about healthcare information technology, including events in the industry, interviews with thought leaders, and much more!
This latest series relates 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. Learn about the Patient Information Quality Improvement (PIQI) framework and how it can be used to help healthcare professionals make better informed decisions.
Data Quality in Healthcare Series 1 of 5
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 host Charlie Harp shares how we got to this place as an industry and a solution for measuring the quality of patient information. Listen in to learn about the Patient Information Quality Improvement (PIQI) framework and how it can be used to help healthcare professionals make better informed decisions.
Inside the Patient Information Quality Improvement (PIQI) Framework – Data Quality in Healthcare Series 2 of 5
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 healthcare industry.
Decoding the PIQI Framework – Data Quality in Healthcare Series 3 of 5
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 for analysis. 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.
Building the PIQI Taxonomy – Data Quality in Healthcare Series 4 of 5
On part 4 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.
How PIQI Measures and Assesses Data – Data Quality in Healthcare Series 5 of 5
On this final episode of the Data Quality in Healthcare – PIQI Framework series, host Charlie Harp 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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