Episode 24: Standardizing Health Data with OMOP's Common Data Model

Episode 32: Data Quality in Healthcare: Building the PIQI Taxonomy

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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Episode 31: Data Quality in Healthcare: Decoding the PIQI Framework

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.

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Episode 30: Data Quality in Healthcare: Inside the Patient Information Quality Improvement (PIQI) Framework

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.

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Episode 29: Data Quality in Healthcare

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.

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Episode 28: Documentation in the OR with AORN

In this episode of The Informonster podcast, Charlie Harp talks with Janice Kelly, President of AORN Syntegrity, Inc., (Association of periOperative Registered Nurses) with over 25 years of informatics experience. Janice shares how AORN is working to enhance workflows with surgical schedules and perioperative nursing. She also gives insights into how AORN collaborates with healthcare institutions to stay ahead of the curve when it comes to new procedures, CPT codes, and preference cards.

Charlie and Janice explore the unexpected ways data quality impacts healthcare and how AORN's contributions are helping healthcare professionals maintain the gold standard in procedure lists and standard terminologies.

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Thanks for listening!