01 Procurement
Tender overview
- Buyer
- Guy's and St Thomas' NHS Foundation Trust
- Status
- Planned
- Procurement method
- Open procedure
- Category
- services
- CPV classification
- Not supplied
- Tender period
- Not supplied — Not supplied
Description
This Pre-Market Engagement (PME) process is to allow the market the opportunity to assist, recommend and input into the development of NHS LPP’s new Clinical Artificial Intelligence (CAI) Framework Agreement prior to the release of the Invitation to Tender (ITT). The CAI framework will compliantly allow for both innovation of products/solutions within the lifetime of the framework, as well as maintain a comprehensive direct award mechanism for all framework suppliers and contracting authorities, by utilising the Procurement Act 2023 (PA 2023) Section 49 – Open Frameworks. Open Frameworks facilitate growth, utilising this route to market enables NHS LPP’s ability to correspond to the increased demand for Artificial Intelligence (AI) enablement across both the NHS and social care. The framework will be split into three lots: Direct Clinical Support, Indirect Clinical Support and NHS England’s Federated Data Platform Solution Exchange (FDP SX). To participate, please search the live opportunities within the Atamis Health Family Portal, reference: C432964. https://atamis-1928.my.site.com/s/Welcome
This page represents one OCDS contracting process. Notices can be revised over time. Values may be estimates, award values or contract values and should be read with their displayed stage and date.
02 Awards and contracts
Published award records
No award object is present in this compiled process yet.
03 Organisations
Buyers, suppliers and other parties
Guy's and St Thomas' NHS Foundation Trust
Great Maze Pond, London, UKI44, SE1 9RT, United Kingdom
GB-PPON PDZC-6438-DGPXCompanies House links appear only for explicit GB-COH identifiers. BritDB does not create company links from a similar name or address.
04 Provenance
Source for this process
Contains public sector information licensed under the Open Government Licence v3.0. Official external links are available only on the source transition page.