Charlie Harp, founder and CEO of Clinical Architecture, explains why healthcare’s data quality shortcomings pose the biggest threat to AI adoption across health systems. In an interview at the ViVE Conference, he describes how decades of clinical data collected as a byproduct of care delivery lacks the precision AI applications demand. Harp shares strategies for building data quality programs that deliver incremental, measurable results.

Source: Clinical Architecture’s Harp Says Data Quality Improvement is the Key to Unlocking AI’s Potential on healthsystemcio.com - healthsystemCIO.com is the sole online-only publication dedicated to exclusively and comprehensively serving the information needs of healthcare CIOs.