SAM #75N98026Q00311

Ongoing Support and Optimization of Emory DSA Software for NCI HALO Platform

This opportunity involves ongoing support and optimization services for the National Cancer Institute's (NCI) custom Digital Slide Archive (DSA) software system, developed by Emory University and integrated into the Indica HALO platform. - The NCI requires: - Continued support, maintenance, and optimization of the DSA software for bulk de-identification of large whole slide image datasets, including those with personally identifiable information (PII) - Integration and workflow improvements for the DSA within the NCI HALO environment - Addition of support for new file types and maintenance of existing de-identification workflows - Provision of necessary computer infrastructure to support the software - Participation in weekly progress meetings and availability during business hours for critical issues - The primary referenced OEM is Emory University (for the DSA software) - No specific product part numbers or purchase quantities are provided; the focus is on software support and integration services - The period of performance includes a base year (May 28, 2026 – May 27, 2027) with two option years (through May 27, 2029) - Place of performance and contracting office is at the National Institutes of Health, Bethesda, MD

Description

The National Institutes of Health (NIH), National Cancer Institute (NCI), Center for Biomedical Informatics and Information Technology (CBIIT), Office of the CIO (OCIO) maintains a digital image management and analysis platform based on the Indica HALO software. NCI HALO supports researchers, external collaborators, and relevant NCI staff with the tools, collaborative workspaces, security protocols, and data and image management capabilities needed to manage, process and analyze a diversity of image types.  Frequently, Investigators need to bring in large slide image collections from outside collaborators, many of which contain PII.  In 2023, extensive market research was conducted to identify an approach for bulk di-identification that could be seamlessly integrated into the NCI HALO environment.  It was determined that the open source Digital Slide Archive software (DSA), developed by Emory University with funding from NCI, could be adapted to provide bulk de-identification capabilities.  A contract was established with Emory to develop custom de-identification workflows and integrate the customized software into NCI’s HALO environment.  Going forward, additional support is needed to optimize existing workflows, add capabilities to support new file types, and maintain the integration of DSA in the NCI HALO environment.  

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