--- title: "Artificial Intelligence (AI) Stroke Imaging System" ocid: "ocds-h6vhtk-029185" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-029185" markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-029185.md" json_url: "https://d3tenders.com/contract/ocds-h6vhtk-029185.json" source: "Find A Tender Service" current_stage: "Award" buyer: "NHS WALES SHARED SERVICES PARTNERSHIP" published: "2021-02-09" --- # Artificial Intelligence (AI) Stroke Imaging System Buyer: NHS WALES SHARED SERVICES PARTNERSHIP Current stage: Award OCID: ocds-h6vhtk-029185 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-h6vhtk-029185) [Download OCDS JSON](https://d3tenders.com/contract/ocds-h6vhtk-029185.json) ## Summary The NHS Wales Shared Services Partnership, acting on behalf of Cardiff and Vale University Local Health Board, is seeking to establish a contract for an Artificial Intelligence (AI) Stroke Imaging System in the healthcare sector. The procurement process is currently at the tender stage, with proposals due by 14:00 on 11th March 2021. The estimated contract value is £450,000, and the procurement method is open procedure, allowing all interested parties to submit tenders electronically through the Bravo e-tenderwales portal. This tender presents a significant opportunity for technology firms specialising in healthcare IT solutions, particularly those with expertise in artificial intelligence and imaging technologies. Businesses that can offer innovative solutions for improving stroke diagnosis and patient management within the NHS will find themselves well-positioned to compete. Participation in this tender could enhance business growth and establish valuable connections within the health sector. ## Notice The NHS Wales Shared Services Partnership, hosted by Velindre NHS Trust are acting on behalf of Cardiff and Vale University Local Health Board are seeking to estblish a contract for Artificial Intelligence (AI) Stroke Imaging System. ### Lot Information Lot 1 The Health Board require Artificial Intelligence (AI) Stroke Imaging. In the UK, most stroke patients present to Primary Stroke Centres (PSC) where intravenous thrombolysis can be delivered, provided patients are identified and the physicians are able to administer therapy. However, there can be a lack of specialist neuroradiology or clinical expertise to aid physicians in the interpretation of acute stroke scans and the time-critical management decisions of these patients. There is a need to support physicians to make decisions about both intravenous thrombolysis and mechanical thrombectomy. Effective determination of stroke diagnosis can be challenging clinically, but positive identification of ischemia on imaging is associated with improved treatment decisions and patient flow. At PSCs imaging is frequently limited to non-contrast CT scanning alone, or at most with the addition of CT angiography (CTA), and without ready access to MRI or CTP, further challenging appropriate patient selection. A key challenge for the NHS healthcare system is to identify patients who will benefit from thrombectomy without transferring excessive numbers of unsuitable patients to the CSC, consuming unnecessary and costly clinical resources, and overwhelming the capacity of these specialist services. Once patients at PSCs are screened for transfer to a CSC, both imaging and clinical information then needs to be transferred to the CSC at the time that a referral takes place to make the final decision. While clinical data can usually be communicated by telephone, imaging data necessarily requires a computer-based solution. Therefore, the Health Board is seeking a purchase of an AI stroke imaging system with support services over a three to five year period. Renewal: The contract will have an option to extend for up two years at the sole discretion of the Health Board which is included in the months duration stated within this notice. ## Key Details | Field | Value | | --- | --- | | Publication source | Find A Tender Service | | Latest notice | https://www.find-tender.service.gov.uk/Notice/002629-2021 | | Notice type | Tender Notice | | Procurement type | Standard | | Procurement category | Services | | Procurement method | Open | | Procurement method details | Open procedure | | Tender suitability | Not specified | | Awardee scale | Not specified | | All stages | Tender, Award | ## Dates | Field | Value | | --- | --- | | Publication date | 9 Feb 2021 | | Submission deadline | 11 Mar 2021 | | Future notice date | Not specified | | Award date | 9 Feb 2021 | | Contract period | Not specified | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | £450,000 | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Cancelled | | Lots status | Cancelled | | Awards status | Unsuccessful | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | NHS WALES SHARED SERVICES PARTNERSHIP | | Locality | CARDIFF | | Post town | Cardiff | | Postcode | CF14 4HH | | Country | Wales | | ITL 1 | TLL Wales | | ITL 2 | TLL5 South East Wales | | ITL 3 | TLL52 Cardiff and Vale of Glamorgan | | Local authority | Cardiff | | Electoral ward | Heath | | Westminster constituency | Cardiff North | | Delivery location | TLL22 Cardiff and Vale of Glamorgan | ## CPV Codes ### Divisions - 72 - IT services: consulting, software development, Internet and support ### Codes - 72222300 - Information technology services ## Release History - 9 Feb 2021 at 15:32 - Award - Award Notice - https://www.find-tender.service.gov.uk/Notice/002629-2021 - 9 Feb 2021 at 12:40 - Tender - Tender Notice - https://www.find-tender.service.gov.uk/Notice/002590-2021 ## Notice URLs - http://nwssp.nhs.wales/ourservices/procurement-services/ - http://www.etenderwales.bravosolution.co.uk - https://www.sell2wales.gov.wales/search/Search_AuthProfile.aspx?ID=AA0221 ## 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-029185. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-029185.json.