Data Quality

Healthcare AI deployments stall on data quality, not model performance

Hospital CIOs moving from AI pilots to enterprise scale are hitting the same wall: fragmented, poorly governed data, not the models themselves.

Healthcare AI governance, data quality, and interoperability top industry agenda in mid-2026

Healthcare IT leaders are confronting AI governance gaps, data readiness challenges, and a $1.3M federal push to scale health data exchange.

Unlocking CensisAI²: The Metrics That Matter for Smarter SPD Decisions

Sterile processing departments are swimming in data, from workflow automation and supply data to patient outcome and quality metrics. But the real challenge is not collecting more information; it is knowing which metrics actually improve SPD performance, technician education, OR readiness and patient safety. For Censis, a leader in surgical asset management, the focus…

The Uber of Healthcare: How OverbookMD is Using Data and Tech to Redefine Patient Care

In today’s world, where instant delivery and ride-sharing are everyday norms, healthcare access still lags behind. Patients now wait an average of 31 days to see a specialist in major U.S. cities—a 19 percent jump since 2022—according to AMN Healthcare’s 2025 survey. The stakes are high: delays can lead to worsening conditions, increased ER visits,…