Tender

Text Severity

CARE QUALITY COMMISSION

This public procurement record has 1 release in its history.

Tender

30 Dec 2017 at 17:09

Tender Notice
Summary of the contracting process

The Care Quality Commission is seeking quotations for the development of a text mining tool aimed at automatically identifying severe comments in patient experience data. This tender, titled "Text Severity," falls under the services category, specifically focusing on data analysis services. The procurement method is a limited competitive quotation below threshold, with the tender period concluding on 16 January 2018. The contract will commence on 2 February 2018 and is expected to last until 30 March 2018. The project is based in London, United Kingdom, and has a value range of £15,000 to £25,000.

This tender presents significant opportunities for businesses specialised in data analysis and the development of analytical tools. Organisations with expertise in handling large volumes of qualitative data, particularly within the healthcare sector, will find this tender particularly relevant. Small and medium-sized enterprises (SMEs) and voluntary, community, and social enterprises (VCSEs) are encouraged to participate, as the buying organisation specifically welcomes bidders from these categories. The selected provider will have the chance to extend the developed tool beyond the current dataset to include future information from social media, thereby enhancing their capabilities and market presence.

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Notice Information

Notice Title

Text Severity

Notice Description

We are inviting quotations to develop a text mining tool which allows us to automatically identify those comments where the experience captured is of such severity that they should be immediately flagged for review or further action. We will provide a data set of approximately 30,000 - 40,000 patient experience comments captured from 2014-2016 from our Share Your Experience website. These are coded for severity with about 300 flagged as serious. Similarly we have 22,000 comments from NHS choices for 2014-15 of which about 100 are flagged. The severe comments are associated with organizations (mostly acute hospitals) and also coded for sentiment. We continued to collect this data after 2016 but have not coded it but can make it available. Although this tool is to be developed on available data sources we aim that it should be capable of being extended to other feeds in future which may include social media sources. We are, therefore, seeking a single organisational partner with considerable knowledge of: * using high volumes of information and, in particular, qualitative intelligence from people who use services and the public about the quality of their care. The provider should, therefore, also have knowledge of the range information sources where people comment on the quality of their care (including specific sites such as NHS Choices and Care Opinion and more general locations such as facebook or twitter). * analytical techniques to identify severity in high volumes of qualitative intelligence. * significant risks to good quality care and how they can be identified. This should take into account both the sentiment of any comment and, importantly, the risks associated with the events being described. Additional information: 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 16 January 2018. Please allow sufficient time to make your return as late returns will not be permitted by the system.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-8a551819-acfb-4e08-b790-7bc84b87d32b
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/3937086f-497c-4d10-9d3e-408e2df59707
Current Stage
Tender
All Stages
Tender

Procurement Classification

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

Common Procurement Vocabulary (CPV)

CPV Divisions

72 - IT services: consulting, software development, Internet and support

73 - Research and development services and related consultancy services

CPV Codes

72316000 - Data analysis services

73100000 - Research and experimental development services

73200000 - Research and development consultancy services

Notice Value(s)

Tender Value
£25,000 Under £100K
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
30 Dec 20178 years ago
Submission Deadline
16 Jan 2018Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
2 Feb 2018 - 30 Mar 2018 1-6 months
Recurrence
Not specified

Notice Status

Tender Status
Active
Lots Status
Not Specified
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
CARE QUALITY COMMISSION
Contact Name
Not specified
Contact Email
commercialcontracts@cqc.org.uk
Contact Phone
Not specified

Buyer Location

Locality
NEWCASTLE UPON TYNE
Postcode
NE1 4PA
Post Town
Newcastle upon Tyne
Country
England
Major Region (ITL 1)
TLC North East (England)
Basic Region (ITL 2)
TLC4 Northumberland, Durham and Tyne & Wear
Small Region (ITL 3)
TLC43 Tyneside
Delivery Location
TLI London
Local Authority
Newcastle upon Tyne
Electoral Ward
Monument
Westminster Constituency
Newcastle upon Tyne Central and West

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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