Cancer Registry Software for Hospitals & Multi-Facility Health Systems

Hospitals and health systems face unique challenges in managing cancer registries across multiple facilities. From scaling data capture to maintaining compliance, decision-makers need software that is efficient, accurate, and easy to integrate across sites.

NeuralFrame KACI addresses these challenges with an AI-driven, cloud-native cancer registry platform designed for hospitals, multi-facility networks, and enterprise health systems.


1. Hospital & Health System Use Case

Challenge How KACI Solves It Benefits
Multiple departments and tumor boards Unified dashboards and centralized workflows Improved coordination and visibility
Accurate, timely reporting AI-powered abstraction and real-time edits Faster compliance and reporting
Integration with hospital EHRs FHIR-native interoperability Reduced IT overhead and faster adoption

Key Takeaway: KACI enables hospitals to streamline registry workflows, improve data quality, and meet regulatory standards across all departments.


2. Multi-Facility Cancer Registry Solutions

Challenge How KACI Solves It Benefits
Multiple sites with decentralized data Cloud-based SaaS platform with multi-facility support Consolidated, real-time data access for administrators
Scaling across new locations Rapid onboarding and automated syncing Fast expansion without IT bottlenecks
Consistent workflows Standardized templates and AI-driven automation Consistent data quality across all facilities

Key Takeaway: Multi-facility health systems can manage centralized registries with KACI, ensuring scalability, efficiency, and uniform compliance.


3. Cloud & SaaS Registry Platform

Feature Why It Matters KACI Advantage
Cloud deployment Reduces on-premise IT needs SaaS model allows secure, remote access from any location
Automatic updates Ensures latest features and compliance No downtime or manual patching required
Scalability Supports growing hospital networks Easy to add new facilities or departments

Key Takeaway: KACI’s cloud-native SaaS model delivers secure, scalable registry software without the IT burden of traditional on-premise systems.


4. Workflow & Data Integration

Feature How KACI Delivers Benefits
AI-powered abstraction Extracts structured data from clinical notes automatically Reduces registrar workload and improves accuracy
FHIR/EHR integration Connects directly to hospital systems Real-time, accurate data for registry management
Multi-site dashboards Monitor workflows, cases, and reporting across all facilities Centralized visibility and performance tracking

Key Takeaway: NeuralFrame KACI ensures end-to-end workflow efficiency across hospitals and multi-facility networks.


Conclusion & Recommendation

For hospitals and health systems, choosing the right cancer registry software is critical to efficiency, compliance, and patient outcomes. NeuralFrame KACI is designed to:

  • Scale across multiple facilities with ease

  • Automate workflows with AI-powered abstraction

  • Integrate seamlessly with existing EHR systems via FHIR

  • Provide centralized dashboards and reporting for administrators

KACI empowers hospitals and health systems to optimize registry operations and improve data-driven oncology outcomes.