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Beyond Good Enough: What Healthcare’s Changing Expectations for Data Mean for Your Organization

What does the healthcare industry really think about the quality of its data? Drawing on findings from Clinical Architecture’s 2026 Data Quality Survey, Charlie Harp explores the current state of healthcare data quality, and the challenges organizations face. He also examines how changing expectations around AI, digital quality measures, interoperability, and data exchange are raising the bar for healthcare data, and why organizations need to make data quality a continuous practice.

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Measuring Patient Data Quality with PIQI at ViVE 2025

PIQI Framework: A Standard Approach to Scoring Patient Data at HIMSS25

The Power of Data Normalization: Insights from HLTH 2024

Building a Framework for Better Data Quality at HIMSS24

Where Data Quality and Master Data Meet

Lifepoint Health is Using Modern Technology to Make Patient Data Actionable

Measuring Data Quality with Clinical Architecture at ViVE2023

Webinar: How LifePoint Drove Insights and Boosted Quality Through its Data Migration

Healthcare Has a Data Resolution Problem

Webinar: A Taxonomy of Data Quality

Prioritizing Data Quality and Making Use of External Data

The Ripple Effect and Benefits of Instituting a Data Quality Program

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HIMSS25

Healthcare Data Quality Theater

We’re excited to offer the full video collection of our Healthcare Data Quality Theater from HIMSS25. If you missed any of the sessions or want to revisit the content, you can now access them on-demand here.

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HIMSS24

Healthcare Data Quality Theater

We’re excited to offer the full video collection of our Healthcare Data Quality Theater from HIMSS24. If you missed any of the sessions or want to revisit the content, you can now access them on-demand here.

Watch Now