1. [Home](https://www.g2.com/) 2. ... 3. [Healthcare Integration Engines](https://www.g2.com/categories/healthcare-integration-engines) 4. [KACI (Knowledge Assistant for Clinical Information) Discussions](https://www.g2.com/products/kaci-knowledge-assistant-for-clinical-information/discuss) [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_40003b4de1732316986898a641449212/kaci-knowledge-assistant-for-clinical-information.jpg "Product Avatar Image") ](/products/kaci-knowledge-assistant-for-clinical-information/reviews) [ KACI (Knowledge Assistant for Clinical Information) ](/products/kaci-knowledge-assistant-for-clinical-information/reviews) 0 ratings KACI (Knowledge Assistant for Clinical Information) is a modern, cloud-based oncology data management platform developed by NeuralFrame to support cancer registries and oncology data specialists in managing complex clinical information. Designed to replace legacy registry systems, KACI streamlines cancer registry workflows by combining interoperability, automation, and intelligent data tools into a single, unified solution. At its foundation, KACI supports the full lifecycle of cancer registry operations, including casefinding, abstraction, follow-up, reporting, accreditation support, and compliance monitoring. The platform is built using a FHIR-native architecture, allowing it to seamlessly integrate with electronic health records and other clinical systems. This interoperability enables KACI to ingest structured and unstructured clinical data—such as pathology reports, diagnostic imaging, and physician notes—and transform it into standardized registry-ready information. One of KACI’s defining features is its use of artificial intelligence to assist oncology data specialists during abstraction. The system highlights relevant clinical concepts, identifies missing or inconsistent data, and performs real-time validation against current registry standards from organizations such as NAACCR, SEER, and the Commission on Cancer. By reducing manual data entry and repetitive chart review, KACI helps improve abstraction accuracy while significantly decreasing the time required to complete cases. KACI also provides powerful reporting and analytics capabilities. Users can access a wide range of built-in reports or create custom queries to analyze trends, monitor quality metrics, and support accreditation requirements. For organizations managing multiple facilities, KACI enables consolidated views of data across sites, allowing users to compare performance, share case information, and maintain consistency across registries. As a cloud-native software-as-a-service (SaaS) platform, KACI eliminates the need for on-premise servers and minimizes IT maintenance. The system receives automatic updates to keep pace with evolving registry standards and regulatory requirements. Security and privacy are central to the platform’s design, with HIPAA compliance, SOC 2 Type II audits, and enterprise-grade access controls protecting sensitive patient data. In addition to core registry functionality, KACI includes complementary tools such as KACI ePath, which facilitates electronic pathology reporting without additional per-record access fees. Overall, KACI represents a next-generation approach to oncology data management—empowering cancer registry professionals with faster workflows, higher data quality, and deeper insights into cancer care delivery. Show More When users leave KACI (Knowledge Assistant for Clinical Information) reviews, G2 also collects common questions about the day-to-day use of KACI (Knowledge Assistant for Clinical Information). These questions are then answered by our community of 850k professionals. 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