Joerg Schwarz, Senior Director, Global Industry Strategy & Solutions, Healthcare Data & Interoperability of Infor joins Charlie Harp to explore the future of healthcare data. They unpack how AI is raising the bar for interoperability, why data quality can’t be an afterthought, and how the PIQI Alliance is bringing the industry together to drive meaningful change. From FHIR adoption to scalable innovation, Joerg shares real-world insight into where healthcare data needs to go next.
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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.
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In this episode of The Informonster Podcast, Charlie Harp sits down with Michael Klotz, Founder and CEO of Velox, to explore how Velox is helping payers move toward smarter, more streamlined access to clinical data. They discuss how the Velox platform helps payers benchmark and improve data quality, and how shared standards and smart analytics are laying the groundwork for a more connected, responsive healthcare system. The episode also covers our partnership, which merges Velox’s data platform with tools like PIQXL Gateway to score the quality and remediate issues. Plus, hear the story behind Velox’s signature “green donut” dashboard—an eye-catching KPI that’s becoming a symbol for clean, real-time, FHIR-based clinical data.
Learn more about our partnership here.
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Join Charlie Harp and Carol Macumber, EVP of Client Services at Clinical Architecture and Chair-Elect of the HL7 Board of Directors, as they unpack Carol's informatics work and her participation in HL7 through the years. From Carol's early days in informatics to leading initiatives like Gender Harmony, this episode takes a deep dive into the organization’s efforts to standardize healthcare data exchange.
They break down the evolution of FHIR, the hurdles of achieving true semantic interoperability, and how AI is shaking up healthcare standards.
Read more about her chair-elect announcement here.
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In this episode of The Informonster Podcast, Charlie Harp talks with John A. Short, MBA, MS-IS, FEMA PDS, CPHIMS, Senior Executive Service (SES), Director, Federal & Commercial Interoperability of Federal Electronic Health Record Modernization (FEHRM) Office and John Rancourt, Deputy Director of ASTP’s Office of Standards, Certification, and Analysis. They discuss how the government, specifically the DoD and VA, are addressing the challenges and opportunities in healthcare interoperability. They cover key topics such as USCDI, TEFCA, and the role of data standards in improving care and reducing costs. The discussion also highlights how data quality and trust play a crucial role in advancing AI and creating a more connected healthcare system.
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Charlie Harp is joined by Dr. Victor Lee, VP of Clinical Informatics at Clinical Architecture, to take a deep dive into how a methodical approach to value set creation and maintenance builds a solid foundation for downstream data analysis and improved healthcare outcomes.
Dr. Lee introduces the 6 Cs Framework he developed to evaluate value set quality through dimensions like clarity, completeness, congruency, consistency, correctness, and currency.
They discuss common pitfalls, the impact of high-quality value sets on clinical decision support, and why value set maintenance is essential over time.
Download the full report for a fresh perspective on creating and sustaining value sets that make a difference in real-world healthcare outcomes.
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In this episode of The Informonster Podcast, Charlie Harp and Clinical Architecture’s Vice President of Marketing, Jaime Lira, dive into the insights from the 2024 Data Quality Report.
As they explore key trends from this year’s survey, the discussion highlights the increasing recognition of data quality's critical role in healthcare, impacting everything from population health to AI initiatives.
Download the full report below and sign up to be a part of the 2025 survey to help shape the future of healthcare data quality.
Download the 2024 Data Quality Report
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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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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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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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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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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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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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In this episode of the Informonster Podcast, Charlie Harp sits down with Patina Zarcone, Director, and Millie Malai, Technical Project Manager of Datapult, an APHL company. They discuss how Datapult and Clinical Architecture came together to create a system that would get lab data to public health faster, especially during the pandemic. They discuss the impact of this system on the timeliness of data for emerging infectious diseases, and how converting data from CSV to HL7 v2.5.1 was a game changer to ensure that public health received the highest quality data.
About Patina Zarcone
Patina (Zarcone) Gagne serves as the Association of Public Health Laboratories’ (APHL) Director of Datapult, a new APHL company, and has been with APHL approaching 21 years. When joining APHL in 2003, Patina was the only informatics staff member focused primarily on helping governmental public health laboratories acquire laboratory information management systems. Today, she is running Datapult, a company that made a major impact on the pandemic by reporting COVID laboratory results electronically to public health. Prior to her tenure at APHL, Patina worked first in biotechnology as a bench scientist in gene therapy for Biogen Inc., in Cambridge MA then went on to work for the Massachusetts Department of Public Health, State Laboratory Institute helping run operations for the mosquito borne disease surveillance program.
Patina has an undergraduate degree (BA) in Biology from Boston University and a Master’s Degree in Public Health (MPH), specializing in Health Service Administration also from Boston University.
Patina lives in Newbury, MA right next to the Atlantic ocean with her husband, Joel Gagne Esq. and 4 children.
About Millie Malai
Millie is the Technical Project Manager for Datapult and oversees technical development and implementation across Datapult’s service, including Expanded ELR. She has been in the field of public health informatics for over a decade, with experience in syndromic surveillance systems, laboratory information systems, immunization registries, electronic laboratory reporting, and health data interoperability. She holds a Master of Public Health with a concentration in applied public health informatics from Emory University, Rollins School of Public Health.
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On this episode of the Informonster Podcast, Charlie discusses the importance of data quality and how it impacts the results of any analysis or decision-making process. He also shares insights from our inaugural survey which indicates that the industry recognizes the importance of data quality but acknowledges that it is a challenging effort.
Download the Data Quality Survey Report here: https://clinicalarchitecture.com/data-quality-survey/
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In this episode Charlie Harp talks with Lori Moore, Public Health Analyst and Stuart Myerburg, Informatics Team Lead with the CDC's National Center for Immunization and Respiratory Diseases (NCIRD) group, as they discuss what it’s like managing data around vaccines, the challenges they faced and opportunities they discovered while going through the COVID-19 crisis.
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On this episode of the Informonster Podcast, Charlie provides a high-level primer on Observational Medical Outcomes Partnership (OMOP). He also discusses terminologies and adding data into an OMOP data repository. To learn more about OMOP please visit ohdsi.org.
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On this episode of the Informonster podcast, Charlie Harp is joined by Janet Campbell, Software Developer and Vice President of Patient Engagement at Epic, Chris Grasso, Chief Information Officer at Fenway Health and Carol Macumber, Executive Vice President at Clinical Architecture to discuss the HL7 Gender Harmony Project.
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On this Episode of the Informonster Podcast, Charlie Harp talks with Drew Ivan, Chief Strategy Officer at Lyniate, about cross-organization interoperability, patient interoperability from consumer devices, why we interoperate, and how all of it affects our relationship with trust.
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On this episode of the Informonster Podcast, Charlie is on the road talking about the relationship between clinical lab data and interoperability. He talks about LOINC, as well as the use of lab data in AI and machine learning, and some of the challenges faced in these applications.
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On this episode of the Informonster Podcast, Charlie Harp talks about the purpose of the CMS Hospital Price Transparency Initiative, how price transparency would be implemented in our current system, as well as the difficulties we would have to face in order to achieve it.
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This two-part episode of the Informonster Podcast features Steve Bratt and Carmela Couderc from MITRE, along with Charlie Harp, Carol Macumber, and Shaun Shakib. The group discusses why a community-based approach, while foreign, is so beneficial to the industry, busting the myth that organizations can contribute to the standard without exposing their own secrets. They also talk about the future of mCode.
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This two-part episode of the Informonster Podcast features Steve Bratt and Carmela Couderc from MITRE, along with Charlie Harp, Carol Macumber (EVP – Client Services at Clinical Architecture), and Shaun Shakib (Chief Informatics Officer at Clinical Architecture). Steve, Health Technology Principle at MITRE, is the Program manager of the Common Oncology Data Elements Extensions (CodeX) HL7 FHIR Accelerator. Carmela, is a Clinical Informaticist at MITRE, working across CodeX use cases. Steve and Carmela take a deep dive into the history and accomplishments of the growing CodeX community that is working together to leverage standardized collection and exchange of oncology data via the minimal Common Oncology Data Elements (mCODE) HL7 FHIR Standard for Trial Use.
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Does Healthcare leverage public health data effectively? On this episode of the Informonster Podcast, Dr. Don Rucker, former National Coordinator for the ONC, joins Charlie Harp to discuss how Health Information Exchanges are in a unique position to re-imagine and pioneer broad-based public health approaches to data.
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On this episode of the Informonster Podcast, Charlie Harp discusses the importance of attaching accurate details to terms in a system in order to provide a window into the thought process of the scribe. He discusses treating term definitions as personal notes and how doing so keeps the system from having the same term defined in 73 different ways. He also explains how having this infrastructure in place could mitigate the effects of Clinical Emergencies like COVID-19.
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