Carta Healthcare, a provider of enterprise clinical data management, announced Lighthouse for Oncology. Health systems can now apply Carta Healthcare’s Hybrid Intelligence approach to cancer registries, one of the most complex and labor-intensive areas of clinical data abstraction.
According to a Carta Healthcare survey, 92% of healthcare leaders believe deep healthcare domain expertise is critical when evaluating an AI vendor.
Lighthouse for Oncology surfaces answers to registry questions linked directly to their source in the patient chart, enabling ODS-certified cancer registrars to validate rather than manually search for data in the EHR. It is the same Hybrid Intelligence model that has driven results across Carta Healthcare’s existing registry portfolio, spanning more than 70 different registries. With Lighthouse, Health systems can reduce the costs and time for abstraction, while ensuring the data submitted to cancer registries is of the highest quality.
Carta Healthcare, the award-winning leader in enterprise clinical data management, announced it has won Gold for Technical Innovation of the Year, Digital Health & Health IT Providers, in the 2026 Stevie Awards for Technology Excellence. It is the second consecutive year Carta Healthcare has been honored in the program, up from Silver in 2025.
As we try to combat healthcare burnout, improving operational efficiency is a big part of that. Like everything in healthcare, there are plenty of ways to approach an issue, so today we are going to narrow that down to back office health IT systems. We reached out to our incredible Healthcare IT Today Community to ask — how are back office health IT systems improving operational efficiency in areas such as finance, human resources, and supply chain management? The following are their answers.
The Stevie Awards for Technology Excellence are among the world’s premier business awards, honoring achievement across the technology sector, from artificial intelligence to biotechnology. The winning nomination, “Hybrid Intelligence for Trustworthy Clinical Data Abstraction,” recognizes how Carta Healthcare solves one of healthcare’s most persistent operational problems, the manual, costly, and error-prone work of clinical data abstraction.
92% of healthcare leaders say they won't trust AI at scale without deep clinical expertise. Read that twice if you're a clinician feeling like healthtech doesn't want you.
This stat comes from an April survey of US healthcare leaders, published on 21 July by Carta Healthcare.
The headline may be about AI, but the finding is really about people.
The findings reframe a debate that has focused on whether or not AI belongs in clinical settings. The data suggests that question has largely been answered, though adoption stalls for structural reasons. Organizations validate AI in a pilot, see results, and then fail to expand it.
Where does adoption stall?
When asked what slows AI adoption, respondents pointed to operational friction. Difficulty integrating with the electronic health record (EHR) was the top barrier at 44%, followed by lack of executive sponsorship or budget (37%) and competing organizational priorities (33%). Concerns like clinician trust, ongoing cost, and regulatory uncertainty tied far lower at 26% each.
According to a Carta Healthcare survey, 92% of healthcare leaders believe deep healthcare domain expertise is critical when evaluating an AI vendor.
Carta Healthcare, the leader in enterprise clinical data management, today released findings from a national survey of U.S. healthcare leaders showing that AI is proving its worth but failing to expand, and that leaders will not trust it at scale without deep clinical expertise. In the survey’s most lopsided result, 92% said deep healthcare domain expertise is critical when evaluating an AI vendor, with half of all respondents assigning it the maximum possible score. Even where AI has delivered measurable value, 71% of organizations are not expanding it at pace.
