Healthcare quality leaders might know this moment. A report comes in, and a score has dropped. Nothing obvious has changed in how patient care is delivered. Outcomes look steady. And yet, the numbers tell a different story. Their instinct is to find what went wrong and fix it quickly.
As published in HIT Consultant, Carta Healthcare CEO Brent Dover argues that healthcare AI’s biggest blindspot is not model capability or governance, but clinical data fidelity: whether the data being reviewed accurately reflects what happened in care.
In this Exploring AI in Oncology episode, Carta Healthcare’s Erin Tobaison explains why AI can accelerate oncology data abstraction, but expert human review remains essential for interpreting clinical nuance, protecting data quality, and supporting patient safety.
As seen in Digital Health Wire, Carta Healthcare expanded Lighthouse AI to 21 additional clinical registries, highlighting how Hybrid Intelligence can improve abstraction speed, cost, and reliability while keeping expert human validation in the loop.
Healthcare has a $15 billion problem most people never see. Behind the scenes, highly trained clinicians are spending thousands of hours manually abstracting data for registries, quality reporting, accreditation, and performance measurement. Greg Miller of Carta Healthcare calls it “swivel chair interoperability.” And it is exactly the kind of hidden workflow burden AI should be solving.
Carta Healthcare, the award-winning leader in enterprise clinical data management, today announced it has been named a winner in the 2026 Artificial Intelligence Excellence Awards. The company was recognized in the Automation category by the Business Intelligence Group.
The program highlights organizations using artificial intelligence to deliver measurable impact and address real operational challenges. Winners were chosen based on how effectively their solutions improve performance and reduce friction in complex environments.
Carta Healthcare, the award-winning leader in enterprise clinical data management, today released survey findings that show artificial intelligence (AI) delivers the greatest value in healthcare when combined with clinical expertise. The “2026 AI in Healthcare” market research survey is based on responses from healthcare professionals across the United States.
The survey data makes a few things clear. Ninety-seven percent of healthcare professionals say AI should support clinical expertise, not replace it. Seventy-four percent put misinterpretation of complex clinical data at the top of the list when it comes to risks of running AI without human oversight. These are not outliers or edge cases, rather they are the people actually working with these tools every day.
The challenge is that clinical data abstraction depends on judgment. It requires context and the ability to interpret nuance in clinical documentation. Good AI on its own is not good enough.
Carta Healthcare approaches this challenge differently. Its Hybrid Intelligence model combines advanced AI with clinicians who remain responsible for the final output. Instead of relying on full automation, the process shifts toward review and verification, with accuracy maintained throughout the process.
The Business Intelligence Group today announced the winners of the 2026 Artificial Intelligence Excellence Awards, a global recognition program honoring the companies, products, teams, and individuals defining what responsible, results-driven artificial intelligence looks like in practice. This year's cohort spans 36 industries and more than 15 countries - demonstrating that AI has graduated from experiment to enterprise infrastructure.
