FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization
Clinical biomarker workflows in translational research settings often rely on spreadsheet-driven tracking, manual quality control (QC) reconciliation, and loosely integrated systems, resulting in limited state visibility, delayed reporting, and increased operational risk. These challenges are particularly pronounced in multi-day assays such as Luminex-based quantification of Fragile X Messenger Ribonucleoprotein (FMRP), where HIPAA-compliant data governance, deterministic workflow progression, and coordinated communication across laboratory and clinical teams are required. This paper presents
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- FuzzySimilar title/name (fuzzy) · 87%fengshao1227/ccg-workflow →
“Fuzzy title match (0.94): “FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture ” ≈ “fengshao1227/ccg-workflow””
- LinkedLinked via arxiv author · 85%Eva McCord →
“FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization”
- LinkedLinked via arxiv author · 85%Ernest Pedapati →
“FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization”
- LinkedLinked via arxiv author · 85%Zag ElSayed →
“FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization”