---
title: "Data/Digital Support for the Elective Recovery Programme"
ocid: "ocds-b5fd17-356d8ce6-4881-4ae4-a597-dcc500ea509a"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-356d8ce6-4881-4ae4-a597-dcc500ea509a"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-356d8ce6-4881-4ae4-a597-dcc500ea509a.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-356d8ce6-4881-4ae4-a597-dcc500ea509a.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "NHS ENGLAND"
published: "2022-04-25"
---

# Data/Digital Support for the Elective Recovery Programme

Buyer: NHS ENGLAND  
Current stage: Award  
OCID: ocds-b5fd17-356d8ce6-4881-4ae4-a597-dcc500ea509a

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## Summary

The NHS England has successfully completed a tender for "Data/Digital Support for the Elective Recovery Programme," aimed at enhancing strategic direction and support in the healthcare sector following the pandemic. This procurement falls within the health services and business management consultancy sectors, with a contract value of £100,000. The contract period will run from April 26, 2022, to May 24, 2022. The procurement process followed a selective method, utilising a call-off from a framework agreement, and the tender period concluded on November 5, 2021. The location of service delivery is in Leeds, England.

This tender presents a robust opportunity for businesses specialising in health consultancy and data analysis, particularly small and medium enterprises (SMEs) with expertise in strategic support and modelling within healthcare. Companies able to provide analytical support, such as reviewing and improving existing modelling data, will find a conducive environment to bid, especially those that can demonstrate a capacity for delivering innovative solutions aligned with the National Elective Recovery Programme's priorities.

## Notice

The Elective Recovery Programme was established to provide strategic direction and support to the NHS in response to one of the most significant challenges facing the healthcare sector post pandemic. Through the development of a National Elective Recovery Strategy, the Elective Recovery Programme brings together key internal and external partners across the NHS to support the restoration of elective activity and reduce waiting lists. The Elective Recovery Programme required a external partner to support delivery of National priorities and provide additional, regionally aligned, resource to support implementation and delivery of key programmes and workstreams that support elective recovery. Analytical Support - for a period of 4 weeks External support is required to conduct a review of elective recovery modelling to test robustness of existing modelling as well as informing further development of modelling. Specifically the areas of support with involve: * Documenting and articulating analytical work done to date to inform ongoing strategy development * Testing existing assumptions against evidence / recent data on the ground * Running some sensitivity analysis to understand the likely impact of various factors * Making recommendations for future work to further strengthen modelling and to inform planning * Any solutions and improvement techniques to be handed over to incoming PM teams, ensuring knowhow is duly embedded into NHS resource. We are looking to procure a service to deliver this support to the National and Regional teams aligned to strategic priorities of the National Elective Recovery Programme. This was competed through the HSSF framework.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/4332a1ca-b00e-4085-ab50-c6835460569a |
| Notice type | Award Notice |
| Procurement type | Framework |
| Procurement category | Services |
| Procurement method | Selective |
| Procurement method details | Call-off from a framework agreement |
| Tender suitability | SME |
| Awardee scale | Large |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 25 Apr 2022 |
| Submission deadline | 5 Nov 2021 |
| Future notice date | Not specified |
| Award date | 24 Apr 2022 |
| Contract period | 25 Apr 2022 - 24 May 2022 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £100,000 |
| Lots value | Not specified |
| Awards value | £8,200 |
| 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 | NHS ENGLAND |
| Locality | LEEDS |
| Post town | Leeds |
| Postcode | LS2 7PD |
| Country | England |
| ITL 1 | TLE Yorkshire and The Humber |
| ITL 2 | TLE4 West Yorkshire |
| ITL 3 | TLE42 Leeds |
| Local authority | Leeds |
| Electoral ward | Little London & Woodhouse |
| Westminster constituency | Leeds Central and Headingley |
| Delivery location | TLC North East (England), TLD North West (England), TLF East Midlands (England), TLG West Midlands (England), TLH East (England), TLJ South East (England), TLK South West (England) |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | MCKINSEY & COMPANY, INC. UNITED KINGDOM |

## CPV Codes

### Divisions

- 79 - Business services: law, marketing, consulting, recruitment, printing and security
- 85 - Health and social work services

### Codes

- 79410000 - Business and management consultancy services
- 85100000 - Health services

## Release History

- 25 Apr 2022 at 13:34 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/4332a1ca-b00e-4085-ab50-c6835460569a

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/4332a1ca-b00e-4085-ab50-c6835460569a
  25th April 2022 - Awarded contract notice on Contracts Finder

## 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-b5fd17-356d8ce6-4881-4ae4-a597-dcc500ea509a. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-356d8ce6-4881-4ae4-a597-dcc500ea509a.json.