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Description

Molecular diagnostic laboratories are a critical part of patient care and are inundated with paper records. Every test, sample, and record increases complexity and makes it more difficult to meet pressing deadlines with accuracy. Furthermore, keeping paper records renders data mining virtually impossible. MPath Non-NGS is a comprehensive set of web-based applications that enables gathering, analysis, reporting and mining of a series of Non-NGS assays performed in MDS at MSKCC.

Learning Objective: While the next-generation sequencing (NGS) based assays have inherent support from a computational and informatics point of view, the traditional Non-NGS assays have not benefited from this digitization. Here, we describe our implementation of MPath Non-NGS, a set of software systems designed to address this deficiency, at the Molecular Diagnostics Service (MDS) in the Department of Pathology at Memorial Sloan Kettering Cancer Center (MSKCC). In this presentation we will walk-through typical workflows from the perspective of various users, including molecular pathologists, analysts, lab technologists, and supervisors. We will also provide insight into the software development
processes and frameworks utilized to build these systems, as well as discuss some of the lessons learned while imple-
menting at a large-scale in MSKCC.

Authors:

Sean Lachhander (Presenter)
Memorial Sloan Kettering Cancer Center

John Ziegler, Memorial Sloan Kettering Cancer Center
Shoham Das, Memorial Sloan Kettering Cancer Center
Paulo Salazar, Memorial Sloan Kettering Cancer Center
Nana Mensah, Memorial Sloan Kettering Cancer Center
Ivelise Rijo, Memorial Sloan Kettering Cancer Center
Lissette Fernandez, Memorial Sloan Kettering Cancer Center
Lin Dong, Memorial Sloan Kettering Cancer Center
Daniela Elezovic, Memorial Sloan Kettering Cancer Center
Ahmet Zehir, Memorial Sloan Kettering Cancer Center
Maria Arcila, Memorial Sloan Kettering Cancer Center

Presentation Materials:

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