ImplantIQ: The Agentic AI-Enabled Solution for MRI Centers

Every day, patient care and imaging services are delayed by one critical issue: implant clearance. A leading imaging services provider identified this long-standing operational challenge, where MRI technicians spend excessive time reviewing complex implant documents that led to increased delays, enhanced clinical risks, and lower patient safety or satisfaction. Our team at NextGen Invent partnered with them to build ImplantIQ, an autonomous, Agentic AI-driven platform that automates implant data extraction and clearance orchestration.

ImplantIQ matches implant specifications with MRI parameters to determine patient-specific MRI safety, presenting technician-friendly, color-coded insights. Built on a healthcare-ready AI foundation grounded in safety, transparency, compliance, and contextual understanding, the model delivers concise, evidence-based findings, removing the need to sift through lengthy documents or multiple charts.

The client is a leading healthcare provider offering advanced imaging services with a focus on innovative technology, clinical expertise, and affordability. They operate high-field MRI machines for superior patient comfort, alongside specialized services like MR arthrogram and breast MRI. With industry accreditations and a commitment to quality care, they deliver accurate diagnostics, exceptional patient experience, and reliable imaging solutions across one of the largest regional healthcare networks.

93% Overall Efficiency Gain ↓

46% Operational Cost Savings per MRI

Industry

Life Sciences

Business Problem

Excessive Manual Research Time: MRI technicians spend excessive time reviewing complex implant documents, causing cognitive strain, clearance delays, and errors. These inefficiencies drive up operational costs, reduce MRI throughput, and force costly patient rescheduling, straining healthcare resources.

Patient Safety Risks in Critical Decisions: Risk of manual error in interpreting implant specifications during MRI compromises patient safety, increases provider liability, and creates operational vulnerabilities that endanger diagnostic accuracy and expose healthcare organizations to significant clinical and reputational risks.

Increasing Patient Dissatisfaction: Prolonged implant clearance and MRI scheduling delays created frustration and anxiety for patients awaiting critical diagnoses. The lack of timely access eroded patient trust, damaged care experience perceptions, and negatively influenced overall satisfaction with healthcare services and providers.

Solution Approach

Agentic AI-Enabled Document Intelligence & Data Extraction: Developed an advanced Agentic AI model that matches specifications of implants and MRI machines and delivers a recommendation whether MRI is safe for the patient or not, along with color-coded specifications details as evidence.

Automated End-to-End Workflow: Implemented an Agentic AI-powered engine that automates the entire implant clearance process, eliminating manual steps, reducing delays, and ensuring seamless, efficient MRI safety checks from document parsing to technician-ready insights.

Real-Time Clearance Dashboards: Developed a user-friendly dashboard that provides MRI technicians and administrators with a real-time view of clearance status and documentation readiness, eliminating bottlenecks and enabling proactive decision-making.

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Value Delivered

The implementation of ImplantIQ delivered transformational operational improvements. Within just a few weeks of deployment, manual research time was reduced from 3-4 hours to 10 minutes. Overall efficiency gained by 93%, and MRI scheduling delays dropped significantly. This resulted in meaningful operational cost savings per MRI, factoring in technician time, reduced rescheduling, and faster patient throughput, while improving patient safety or satisfaction through quicker diagnosis and optimized location selection.

By automating complex implant data extraction and clearance workflows, the organization unlocked faster imaging throughput and reduced reliance on manual interventions. Reduced cognitive burden on MRI technicians led to higher productivity, fewer overtime hours, and improved patient satisfaction.

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