fmrp-lean-a-hipaa-compliant-ai-augmented-lims-arch

name	fmrp-lean-a-hipaa-compliant-ai-augmented-lims-arch
description	Skill generated from arXiv paper 2607.20382: FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization
metadata	{"arxiv":{"id":"2607.20382","title":"FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization","authors":["Eva McCord","Ernest Pedapati","Zag ElSayed"],"published":"2026-07-22","categories":["cs.HC","cs.AI","cs.ET","physics.med-ph","q-bio.NC"],"url":"https://arxiv.org/abs/2607.20382","utility":1}}

FMRP-LEAN: A HIPAA-Compliant AI-Augmented LIMS Architecture for End-to-End Clinical Assay Workflow Optimization

arXiv: 2607.20382
Published: 2026-07-22
Authors: Eva McCord, Ernest Pedapati, Zag ElSayed
Categories: cs.HC, cs.AI, cs.ET, physics.med-ph, q-bio.NC
Utility: 1.00

Key Innovation

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, a...

Potential Application

This paper presents advancements that could be applied to enhance agent capabilities in the areas of cs.HC, cs.AI, cs.ET, physics.med-ph, q-bio.NC.

References

• arXiv: https://arxiv.org/abs/2607.20382