Filter
Last updated
Last updated
FILTER is an AI agent communicating with a chatbot module, named Lamina, designed to streamline the patient triage process in spine care. By analyzing patient data, including clinical and imaging reports, FILTER identifies candidates for surgery and optimizes workflows for healthcare providers.
The primary goal of FILTER is to improve spine care efficiency by:
Ensuring timely identification of surgical candidates.
Reducing the workload for healthcare providers.
Finding appropriate care for nonsurgical candidates.
Decreases financial burden for health payers by reducing inappropriate consultation rate.
FILTER functions as a virtual assistant, guiding patients through the triage process. It:
Data Collection and Multi-Labeled Annotation: Aggregates and labels patient data, such as MRI/CT scans, clinical reports, and other relevant medical records. By introducing multi-labeled data, FILTER captures a more granular view of patient cases, integrating inputs from local surgical and medical experts to enhance the precision and relevance of the labels.
AI-Powered Analysis: Employs advanced machine learning models to analyze the multi-labeled data, enabling the classification and prioritization of cases based on urgency and complexity. The inclusion of localized expertise ensures culturally and regionally appropriate assessments.
Dual Incentive System: Implements a reward system for both patients and surgeons. Patients are incentivized to share high-quality medical data, while surgeons are rewarded for contributing expertise in annotating and validating case information.
Optimized Workflows: Reduces delays and ensures efficient resource allocation.
Improved Outcomes: Accurate triage enhances treatment success rates.
Scalable Solution: Can be implemented across hospitals and clinics worldwide.