Episode 52: Charlie Harp Discusses Why Good Enough Isn’t Good Enough

In this episode, Charlie Harp discusses why healthcare’s long-standing definition of “good enough” data no longer works in a world increasingly driven by interoperability, analytics, and AI.  Drawing from a recent presentation at the AMIA Amplify Conference 2026, Charlie breaks down the growing gap between the way healthcare data was originally designed to function and the way organizations are now trying to use it.  From interoperability and population health to clinical decision support and generative AI, Charlie explores how healthcare organizations are asking data to do far more than it was ever designed to do. He also breaks down the six dimensions of data quality and why issues like integrity, relevance, liquidity, usablity, granularity, and trust have become critical to the future of intelligent healthcare systems. The conversation also dives into the risks of “uncalibrated uncertainty,” the hidden dangers of low-quality data powering AI systems, and why healthcare leaders need to rethink how they evaluate, govern, and invest in data quality before the consequences become much harder to ignore.  Contact Clinical Architecture • Tweet us at @ClinicalArch  (  / clinicalarch  ) • Follow us on LinkedIn (  / clinical-architecture  ) and Facebook (  / informonster  ) • Email us at [email protected] (mailto:[email protected]) Thanks for listening!