---
title: "Text Severity"
ocid: "ocds-b5fd17-10766e8f-d5bd-40a3-bfc0-6aca6422570b"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-10766e8f-d5bd-40a3-bfc0-6aca6422570b"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-10766e8f-d5bd-40a3-bfc0-6aca6422570b.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-10766e8f-d5bd-40a3-bfc0-6aca6422570b.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "CARE QUALITY COMMISSION"
published: "2018-03-28"
---

# Text Severity

Buyer: CARE QUALITY COMMISSION  
Current stage: Award  
OCID: ocds-b5fd17-10766e8f-d5bd-40a3-bfc0-6aca6422570b

[View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-10766e8f-d5bd-40a3-bfc0-6aca6422570b)  
[Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-10766e8f-d5bd-40a3-bfc0-6aca6422570b.json)

## Summary

The Care Quality Commission (CQC) has concluded a public procurement process for the tender titled "Text Severity," aimed at acquiring an automatic tool for analysing large volumes of online patient comments to detect negative changes in care quality. The project falls under the 'Business services: law, marketing, consulting, recruitment, printing and security' category and is located in London, England. The procurement method used was a competitive quotation below the threshold, with the tender period concluding on 25 January 2018 and the contract period scheduled from 5 March 2018 to 31 May 2018. The contract value is £24,164.

This tender represents significant opportunities for small to medium-sized enterprises (SMEs) specialising in data analysis, software development, or text mining services. Businesses with expertise in developing adaptable analytical tools capable of navigating varied online comment sources would be particularly well-suited to compete. The CQC's focus on managing sensitive care quality data creates a niche for innovative solutions that effectively balance the need for accuracy in detecting potential issues in healthcare delivery.

## Notice

The CQC require an automatic tool to analyse large numbers of online patient comments and detect significant negative changes in care quality. This poses challenges which distinguish it from standard text mining problems, including: 1. A highly unbalanced dataset: cases of interest will make up only a very small percentage of the data (c.0.5%); 2. A variable domain: the tool must cope with comments from a range of online sources, and be adaptable to social media in future; 3. A sensitive use case: the desired characteristics of the output (in particular, whether it is more important to avoid false positives or false negatives) will depend on how it is used.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/1fc92e8c-e458-41cc-a90a-879e5ffca349 |
| Notice type | Award Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Limited |
| Procurement method details | Competitive quotation (below threshold) |
| Tender suitability | SME |
| Awardee scale | SME |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 28 Mar 2018 |
| Submission deadline | 25 Jan 2018 |
| Future notice date | Not specified |
| Award date | 5 Feb 2018 |
| Contract period | 5 Mar 2018 - 31 May 2018 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £24,164 |
| Lots value | Not specified |
| Awards value | £24,164 |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Not specified |
| Awards status | Active |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | CARE QUALITY COMMISSION |
| Locality | LONDON |
| Post town | South West London |
| Postcode | SW1W 9SZ |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI3 Inner London - West |
| ITL 3 | TLI35 Westminster and City of London |
| Local authority | Westminster |
| Electoral ward | Pimlico North |
| Westminster constituency | Cities of London and Westminster |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | QUEEN MARY UNIVERSITY OF LONDON |

## CPV Codes

### Divisions

- 79 - Business services: law, marketing, consulting, recruitment, printing and security
- 98 - Other community, social and personal services

### Codes

- 79000000 - Business services: law, marketing, consulting, recruitment, printing and security
- 98110000 - Services furnished by business, professional and specialist organisations

## Release History

- 28 Mar 2018 at 14:40 - AwardUpdate - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/1fc92e8c-e458-41cc-a90a-879e5ffca349
- 28 Mar 2018 at 10:39 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/1fc92e8c-e458-41cc-a90a-879e5ffca349

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/1fc92e8c-e458-41cc-a90a-879e5ffca349
  28th March 2018 - Awarded contract notice on Contracts Finder
- https://www.contractsfinder.service.gov.uk/Notice/Attachment/63cfb0de-7783-498f-9d5c-68bce3c3adac
  CQC PSO 151 Texzt Severity

## 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-b5fd17-10766e8f-d5bd-40a3-bfc0-6aca6422570b. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-10766e8f-d5bd-40a3-bfc0-6aca6422570b.json.