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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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A Model for Design and Implementation of a Laboratory Information-Management System Specific for Molecular Pathology

Eban Tomlinson¹, Jennifer Goodman², Margaret Loftus²

¹Semaphore Solutions, Victoria, British Columbia, Canada.

The Journal of Molecular Diagnostics : JMD

|February 1, 2022

Summary

The Molecular Pathology Section upgraded its data systems by implementing a custom laboratory information management system (LIMS). This enhanced workflow efficiency and data management for molecular diagnostics.

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Area of Science:

Molecular Diagnostics
Laboratory Informatics
Bioinformatics

Background:

The Molecular Pathology Section previously relied on an outdated Excel and paper-based data management system.
Existing commercial laboratory information management system (LIMS) software did not meet the complex needs of molecular diagnostics.

Purpose of the Study:

To enhance the testing portfolio and processes within the Molecular Pathology Section.
To replace an inadequate data management system with a comprehensive, customized LIMS solution.

Main Methods:

Replaced legacy systems with a commercial LIMS, a bioinformatics platform, and custom applications for test interpretation and results releasing.
Implemented a dedicated sample accessioning service.
Collaborated with clinical laboratorians, pathologists, genetic counselors, bioinformaticians, systems analysts, and software engineers.

Main Results:

Successfully implemented a customized LIMS solution capable of managing complex workflows and large data packets.
Achieved process automation within the molecular diagnostics service.
Developed a scalable and cost-effective laboratory-authored software approach using Agile best practices.

Conclusions:

A customized LIMS approach is necessary to meet the unique and complex demands of molecular diagnostics services.
The implemented solution significantly improved data management and workflow efficiency.
The project's methodology offers a model for developing emulatable, scalable, and cost-effective laboratory software.