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.
Carta Healthcare, the leader in enterprise clinical data management, today 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.
Every hospital treating cancer patients is required to submit data to their state cancer registry. Hospitals accredited by the Commission on Cancer also submit to the National Cancer Database. Compliance depends on the work of ODS-certified cancer registrars, and with fewer than 6,000 credentialed professionals worldwide, many health systems face growing backlogs that put submission timelines and accreditation readiness at risk, while at the same time, impacting the improvement of cancer care nationwide.
Proven model now available for oncology, improving cancer registry abstraction efficiency and data quality
Carta Healthcare, the leader in enterprise clinical data management, today 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.
See Brian Eastwood's coverage of our latest tech developments in the cancer registry space.
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.
Clinical data abstraction seems like the kind of work automation would handle well. In hospitals, clinicians review a patient’s electronic medical record and answer specific questions required by clinical registries. Clinical registries are standardized databases that collect information about patients who share the same condition or undergo the same procedure. That data allows physicians and researchers to evaluate outcomes and understand how hospitals are performing across different treatments.
A new national survey from Carta Healthcare finds near-unanimous consensus on where AI delivers real value, and it's not full automation.
Listen to Carta Healthcare featured on Healthcare IT Today with John Lynn and Colin Hung.
A national survey from Carta Healthcare reveals that health care professionals are wary of AI operating without human involvement, preferring it to work alongside clinical staff. The findings suggest that AI's true value lies in enhancing clinical expertise rather than replacing it, pointing to a model that prioritizes collaboration over full automation to ensure trust and efficiency in health care.
Hospitals doing transcatheter aortic valve replacement (TAVR) cannot bill Medicare unless they enroll every consecutive case in a national audited registry. Behind every submission sits a specialty-trained nurse working two screens at once, translating an unstructured chart into a structured record against a data dictionary the specialty society periodically rewrites. A typical experienced abstractor completes fewer than five complex cases per day, and audits routinely surface 2 to 5% error rates even among trained staff.
