Clinical data abstraction-the meticulous process of reviewing medical records to extract key information for research, quality reporting, and regulatory compliance-is a complex undertaking. It demands clinical judgment, a deep understanding of electronic health records (ehrs), and unwavering attention to detail. Information is often scattered across multiple systems and documented inconsistently by different clinicians, making the […]
As the initial reactions to the OpenAI and Anthropic healthcare announcements of two weeks ago have started to settle down, a consensus seems to be emerging: While both products target consumers through integrations into medical records, OpenAI seems to be doubling down more on the consumer market (partially evidenced through their acquisition of Torch) while […]
Health systems using Carta Healthcare reduce abstraction time by up to 66%, lower abstraction costs by 50% or more, and consistently achieve 98%–99% Inter-Rater Reliability (IRR), the highest standard for data quality. By enhancing the identification of clinically relevant information across complex medical records, Claude models help Carta Healthcare deliver consistent, high-quality outputs across large […]
Carta Healthcare, the award-winning leader in enterprise clinical data management, underscored the role of hybrid intelligence in advancing responsible AI for healthcare as Anthropic unveiled Claude for Healthcare during the 44th Annual J.P. Morgan Healthcare Conference.
Hybrid Intelligence Delivers Consistent Value in Clinical Workflows. Carta Healthcare uses Claude models—securely deployed through Amazon Bedrock—to support its hybrid intelligence approach, which combines advanced AI with expert clinicians in a human-in-the-loop model. This combination reduces the time, cost, and burden of manual abstraction and improves the quality of the data that underpins patient safety, […]
Earlier this month, OpenAI launched ChatGPT Health, described as “a dedicated experience that securely brings your health information and ChatGPT’s intelligence together, to help you feel more informed, prepared, and confident navigating your health.” Needless to say, this has prompted plenty of discussion. Here’s what several health industry experts had to say on the subject.
Carta Healthcare, the award-winning leader in enterprise clinical data management, today underscored the role of hybrid intelligence in advancing responsible AI for healthcare as Anthropic unveiled Claude for Healthcare during the 44th Annual J.P. Morgan Healthcare Conference.
The company achieved 100% customer retention, signed 25 new contracts, and welcomed 10 hospitals that switched to Carta Healthcare from another clinical data abstraction solution provider, all while delivering 2X revenue growth and expanding its team with 144 new hires.
PSQH reached out to experts throughout healthcare to get their predictions for what will happen in patient safety and healthcare quality in 2026. We received so many predictions this time around that we’re breaking it up into two parts. Here’s Part 2 of what they had to say.
"Health information management [HIM] is evolving quickly as organizations push for greater accuracy and stronger safeguards around patient data. New approaches to data exchange and abstraction are helping HIM teams deliver timelier information, while advances in privacy and security are keeping pace with regulatory demands. The trend is toward practical innovations that make the work […]
The Society of Thoracic Surgeons star ratings carry significant weight for hospitals with open heart surgery programs. While often viewed as a clinical benchmark, these ratings also have substantial strategic and financial implications, particularly for hospital chief financial officers, influencing everything from referral volume to physician recruitment and payer negotiations. In short, an investment in […]
A new market survey from Carta Healthcare reveals that hospital leaders are overwhelmingly rejecting fully autonomous AI in favor of “hybrid intelligence” models that pair technology with clinical expertise. With 62.5% of respondents citing data misinterpretation as a critical risk of “black box” systems, the industry is cementing a preference for AI that augments rather […]
"The workforce challenge isn’t going away, but the focus is shifting. Health systems will invest in retention strategies, flexible staffing models, and technology that reduces burnout. The organizations that balance efficiency with workforce well-being will be best positioned to thrive."
Betsy Castillo of Carta Healthcare says AI abstraction tools fail without clinician input. She stresses that medical expertise is essential to ensure accuracy and avoid dangerous misinterpretations in healthcare AI.
Intelligent data abstraction using hybrid AI and human expertise extracts detailed clinical data from EHRs to identify breast cancer patients eligible for less invasive care, improving guideline adherence, reducing unnecessary procedures, and supporting personalized, precision-driven treatment.
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