An Innovative AI-Powered Digital Pathology Information System - Abstract
Laboratory Information Systems, Image Management Systems, and Artificial Intelligence each have advanced pathology workflows, but their integration
into a unified platform remains limited. We present FlexLIS, a cloud-based system that combines LIS, IMS, and AI into a secure AWS-based platform designed
for scalability, compatibility, and compliance with HIPAA and SOC 2 standards. It supports advanced AI tools for multimodal image and data analysis; enabling
automatic structured reporting; and the development of large-scale foundation models. Its user interface includes accession, reporting, image management, and
administration modules which streamline laboratory workflows while offering powerful image viewing, annotation, and AI-assisted decision support, all with
seamless interoperability with major electronic health record systems. Embedded AI modules provide intelligent slide label reading, automated quality control
of whole-slide images, tissue typing and cataloging, and diagnostic and prognostic support across multiple organ systems. In summary, the AI-enabled FlexLIS
system provides an unprecedented opportunity to optimize pathology workflows, enhance efficiency, and minimize diagnostic and clerical errors, thereby
strengthening both patient safety and laboratory quality assurance.