--- title: "UHB WMSDE Digital Histology Annotation - PME" ocid: "ocds-h6vhtk-04e759" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-04e759" markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-04e759.md" json_url: "https://d3tenders.com/contract/ocds-h6vhtk-04e759.json" source: "Find A Tender Service" current_stage: "Planning" buyer: "UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST" published: "2025-02-21" --- # UHB WMSDE Digital Histology Annotation - PME Buyer: UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST Current stage: Planning OCID: ocds-h6vhtk-04e759 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-h6vhtk-04e759) [Download OCDS JSON](https://d3tenders.com/contract/ocds-h6vhtk-04e759.json) ## Summary The University Hospitals Birmingham NHS Foundation Trust (UHB), one of the largest teaching hospital Trusts in England and the West Midlands, is planning a procurement process for the "UHB WMSDE Digital Histology Annotation - PME" project. This process involves IT software packages within the goods category and is currently in the planning stage. The project aims to support research at UHB's various locations, including Birmingham and Solihull. Interested suppliers must submit their responses via the online Health Family Single eCommercial System Portal by 14:00 on Monday, 31st March 2025. The project is part of broader efforts to develop AI-based technologies using rich data from digital pathology whole slide images to enhance diagnosis and treatment. This procurement offers significant opportunities for businesses specialising in IT software development, particularly those experienced in healthcare applications and AI technologies. The implementation of efficient whole slide image curation processes will underpin AI algorithm development, thus providing a valuable competitive edge. Companies with expertise in semantic annotation, pathology, and data management are well-suited to compete, with potential for long-term collaboration with UHB and investment in further innovative healthcare solutions. ## Notice University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest teaching hospital Trusts in England and the West Midlands, serving a regional, national and international population. It includes Birmingham Heartlands Hospital, Birmingham Chest Clinic, Good Hope Hospital, the Queen Elizabeth Hospital Birmingham, Solihull Hospital and various Community Services. We also run a number of smaller satellite units, allowing people to be treated as close to home as possible. As an NHS organisation, UHB will see and treat more than 2.2 million people every year across our sites UHB currently employs over 20,000 members of staff and we are committed to investing in their development and their health and wellbeing. ### Lot Information Lot 1 This Prior Information Notice (PIN) outlines the requirements for a Digital Pathology: Histology Annotation Process to be implemented to support research taking place within the West Midlands Secure Data Environment (WMSDE) at University Hospitals Birmingham NHS Foundation Trust (UHB) located in Birmingham and Solihull, England. Digital pathology whole slide images (WSI) represent a rich source of data that can be harnessed to develop algorithms that assist pathologists in diagnosis, providing critical information for treating a wide range of diseases. In creating these algorithms Computer scientists (CS) require WSI data to be prepared to facilitate their work. A crucial step in this preparation involves defining the pathology present within the slide and pinpointing its location so that it can be cross-referenced with the pixel data used by CS to train and test their algorithms. This process, known as semantic annotation, encompasses various levels of detail, from slide-level labels such as tissue type and disease status (positive or negative) to the identification of specific cell types and even subcellular structures, including organelles or viral inclusions. This briefing outlines requirements for effective and efficient WSI curation, to support the development of artificial intelligence (AI) based technologies. Implementation of this capability within the WMSDE with multimodal, longitudinal data from the NHS, would provide a world-class resource for AI development. Its builds on established capabilities derived from previous work on health data management including for the 100,000-genome project, the Industrial Strategy Challenge Fund, Health Data Research UK hubs as well as the current Regional SDE. ## Key Details | Field | Value | | --- | --- | | Publication source | Find A Tender Service | | Latest notice | https://www.find-tender.service.gov.uk/Notice/006996-2025 | | Notice type | Planning Notice | | Procurement type | Standard | | Procurement category | Goods | | Procurement method | Not Specified | | Procurement method details | Not specified | | Tender suitability | Not specified | | Awardee scale | Not specified | | All stages | Planning | ## Dates | Field | Value | | --- | --- | | Publication date | 21 Feb 2025 | | Submission deadline | Not specified | | Future notice date | 21 Feb 2025 | | Award date | Not specified | | Contract period | Not specified | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | Not specified | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Planned | | Lots status | Planned | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST | | Locality | BIRMINGHAM | | Post town | Birmingham | | Postcode | B15 2WB | | Country | England | | ITL 1 | TLG West Midlands (England) | | ITL 2 | TLG3 West Midlands | | ITL 3 | TLG31 Birmingham | | Local authority | Birmingham | | Electoral ward | Edgbaston | | Westminster constituency | Birmingham Edgbaston | | Delivery location | TLG West Midlands (England) | ## CPV Codes ### Divisions - 48 - Software package and information systems - 72 - IT services: consulting, software development, Internet and support ### Codes - 48517000 - IT software package - 72260000 - Software-related services ## Release History - 21 Feb 2025 at 16:27 - Planning - Planning Notice - https://www.find-tender.service.gov.uk/Notice/006996-2025 ## Notice URLs - https://health-family.force.com/s/Welcome - https://www.uhb.nhs.uk/ ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-04e759. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-04e759.json.