--- title: "Expert System" ocid: "ocds-b5fd17-9e245bbb-14d9-49c4-9d59-d1c3d0522bb0" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-9e245bbb-14d9-49c4-9d59-d1c3d0522bb0" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-9e245bbb-14d9-49c4-9d59-d1c3d0522bb0.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-9e245bbb-14d9-49c4-9d59-d1c3d0522bb0.json" source: "Contracts Finder" current_stage: "Tender" buyer: "CARE QUALITY COMMISSION" published: "2017-12-29" --- # Expert System Buyer: CARE QUALITY COMMISSION Current stage: Tender OCID: ocds-b5fd17-9e245bbb-14d9-49c4-9d59-d1c3d0522bb0 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-9e245bbb-14d9-49c4-9d59-d1c3d0522bb0) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-9e245bbb-14d9-49c4-9d59-d1c3d0522bb0.json) ## Summary The Care Quality Commission is seeking proposals for a project titled "Expert System" aimed at utilising artificial intelligence to enhance the targeting of inspection resources in the health and social care sectors. This procurement falls under the research services industry category and is taking place in London, England. The tender has a competitive quotation procurement method and is currently in the Tender stage, with a submission deadline set for 17:00 on 15 January 2018. The value of the contract is anticipated to be between £15,000 and £25,000, with the contract expected to commence on 2 February 2018 and run until 30 March 2018. This opportunity presents significant prospects for businesses specialising in research and development consultancy services, particularly those with experience in developing expert systems or AI solutions for regulatory or inspection frameworks. Small and medium-sized enterprises (SMEs) and voluntary, community, and social enterprises (VCSEs) are particularly encouraged to apply, as they are well-suited to offer innovative approaches that can meet the requirements outlined in the detailed tender document. ## Notice We are keen to explore the use of artificial intelligence to help us in targeting inspection resources. We want to develop tools that help inspectors come to decisions about whether a particular aspect of care is of sufficient concern to trigger an inspection. We are particularly interested in an expert system approach, which would help our inspectors make an assessment of the existing data, then obtain and add data in proportion to any lack of certainty about quality or changes in quality. We need to develop exemplar systems, which give us the ability to work through the health and social care sectors. We believe the most appropriate approach is to focus on specific aspects of the regulatory model to conduct a proof of concept and see if this is possible for CQC. This may be as narrow as a single prompt under a key question, or may be broader. The approach would involve interviewing our CQC experts (inspection managers, inspectors or analysts) and organizing the information into a collection of rules. The aim is that the expert system would draw deductions from the rules and may in turn query the user. An expert system could continue to 'learn' from the answers it is given. Additional information: The full specification of the requirement is set out in the Statement of Requirements of the tender document available at CQC e-Sourcing Portal: https://cqc-commercial.bravosolution.co.uk If your organisation does not already have an account on the portal, please select 'Register Free' and complete the company information to request a user name and password. On receipt of your account details, you may search for this opportunity by project name and select 'Register Interest'. To be considered as a Bidder you must complete and submit a Bid by the deadline of 17:00 Noon on 15 January 2018. Please allow sufficient time to make your return as late returns will not be permitted by the system. ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/ada6ec82-e530-4421-867b-c09c86b55238 | | Notice type | Tender Notice | | Procurement type | Standard | | Procurement category | Services | | Procurement method | Limited | | Procurement method details | Competitive quotation (below threshold) | | Tender suitability | SME, VCSE | | Awardee scale | Not specified | | All stages | Tender | ## Dates | Field | Value | | --- | --- | | Publication date | 29 Dec 2017 | | Submission deadline | 15 Jan 2018 | | Future notice date | Not specified | | Award date | Not specified | | Contract period | 2 Feb 2018 - 30 Mar 2018 | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | £25,000 | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Active | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | CARE QUALITY COMMISSION | | Locality | NEWCASTLE UPON TYNE | | Post town | Newcastle upon Tyne | | Postcode | NE1 4PA | | Country | England | | ITL 1 | TLC North East (England) | | ITL 2 | TLC4 Northumberland, Durham and Tyne & Wear | | ITL 3 | TLC43 Tyneside | | Local authority | Newcastle upon Tyne | | Electoral ward | Monument | | Westminster constituency | Newcastle upon Tyne Central and West | | Delivery location | TLI London | ## CPV Codes ### Divisions - 73 - Research and development services and related consultancy services ### Codes - 73110000 - Research services - 73200000 - Research and development consultancy services - 73300000 - Design and execution of research and development ## Release History - 29 Dec 2017 at 19:02 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/ada6ec82-e530-4421-867b-c09c86b55238 ## Documents - https://www.contractsfinder.service.gov.uk/Notice/ada6ec82-e530-4421-867b-c09c86b55238 29th December 2017 - Opportunity notice on Contracts Finder ## Notice URLs - https://cqc-commercial.bravosolution.co.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-b5fd17-9e245bbb-14d9-49c4-9d59-d1c3d0522bb0. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-9e245bbb-14d9-49c4-9d59-d1c3d0522bb0.json.