Contract

1808 Risk Stratification Algorithms Tool for NHS AGEM CSU

  • NHS Arden and GEM CSU

F03: Contract award notice

Notice identifier: 2024/S 000-038164

Procurement identifier (OCID): ocds-h6vhtk-0458e8

Published 26 November 2024, 1:55pm



Section one: Contracting authority

one.1) Name and addresses

NHS Arden and GEM CSU

St John's House, East Street

Leicester

LE1 6NB

Contact

Mark Didcock

Email

mark.didcock@nhs.net

Country

United Kingdom

Region code

UKF2 - Leicestershire, Rutland and Northamptonshire

Internet address(es)

Main address

https://www.ardengemcsu.nhs.uk/

Buyer's address

https://www.ardengemcsu.nhs.uk/

one.4) Type of the contracting authority

Body governed by public law

one.5) Main activity

Health


Section two: Object

two.1) Scope of the procurement

two.1.1) Title

1808 Risk Stratification Algorithms Tool for NHS AGEM CSU

Reference number

C321747

two.1.2) Main CPV code

  • 72212517 - IT software development services

two.1.3) Type of contract

Services

two.1.4) Short description

NHS Arden & GEM CSU sought competitive offers for the supply, installation, support, and maintenance of Risk Stratification Algorithms within a Tool able to cover a population of 3.3 million patients.

The Risk Stratification Algorithms/Tool must meet the following key requirements:
Have a proven evidence base and be rigorously tested using standardised statistical metrics and support repeatable results from the same data set.
Be continually updated and supported to reflect changes in clinical practice and patient behaviour.
The tool should have had experience of operating in the NHS and with associated NHS data flows or equivalent.
Must be predicated on clinical evidence including a combination of prescription, diagnosis, and event data rather than purely historical financial spend in secondary care.
Be able to utilise, as a minimum, acute, and primary care data records as a basis for its stratification
Use multiple years of data to support a longitudinal record which can be updated on an automated basis by AGCSU.

two.1.6) Information about lots

This contract is divided into lots: No

two.1.7) Total value of the procurement (excluding VAT)

Value excluding VAT: £188,400

two.2) Description

two.2.2) Additional CPV code(s)

  • 72212517 - IT software development services

two.2.3) Place of performance

NUTS codes
  • UKF1 - Derbyshire and Nottinghamshire
Main site or place of performance

NHS Arden & Greater East Midlands Commissioning Support Unit

two.2.4) Description of the procurement

NHS Arden & GEM CSU sought competitive offers for the supply, installation, support, and maintenance of Risk Stratification Algorithms within a Tool able to cover a population of 3.3 million patients.

The Risk Stratification Algorithms/Tool must meet the following key requirements:
Have a proven evidence base and be rigorously tested using standardised statistical metrics and support repeatable results from the same data set.
Be continually updated and supported to reflect changes in clinical practice and patient behaviour.
The tool should have had experience of operating in the NHS and with associated NHS data flows or equivalent.
Must be predicated on clinical evidence including a combination of prescription, diagnosis, and event data rather than purely historical financial spend in secondary care.
Be able to utilise, as a minimum, acute, and primary care data records as a basis for its stratification
Use multiple years of data to support a longitudinal record which can be updated on an automated basis by AGCSU.
The Risk Stratification Tool must have a range of predictive models with ability to include as a minimum:
Current and predicted costs.
Predicted resource utilisation.
Risk of hospitalisation.
The algorithms within the tool must be able to factor in sufficient historical data to enable the clinical evidence-base of the tool, including historical diagnosis of long-term conditions and support and provide disease profiling. It should capture the multidimensional nature of an individual’s health.
The Risk Stratification algorithms must be able to be housed and run within the AGCSU data management environment to maintain our data controls and governance and allow it to be augmented by other data elements managed by the customer. All outputs of the tool must be programmatically readable, must output validation to measure success of the processing and use a server-based technology not a desktop to enable flexible and secure working.

two.2.5) Award criteria

Price

two.2.11) Information about options

Options: No

two.2.13) Information about European Union Funds

The procurement is related to a project and/or programme financed by European Union funds: No


Section four. Procedure

four.1) Description

four.1.1) Type of procedure

Competitive procedure with negotiation

four.1.8) Information about the Government Procurement Agreement (GPA)

The procurement is covered by the Government Procurement Agreement: Yes

four.2) Administrative information

four.2.1) Previous publication concerning this procedure

Notice number: 2024/S 000-015058


Section five. Award of contract

A contract/lot is awarded: Yes

five.2) Award of contract

five.2.1) Date of conclusion of the contract

15 November 2024

five.2.2) Information about tenders

Number of tenders received: 1

The contract has been awarded to a group of economic operators: No

five.2.3) Name and address of the contractor

Johns Hopkins HealthCare LLC

7231 Parkway Drive, Suite 100

Hanover, Maryland

21076

Country

United States

NUTS code
  • US - United States
The contractor is an SME

No

five.2.4) Information on value of contract/lot (excluding VAT)

Initial estimated total value of the contract/lot: £188,400

Total value of the contract/lot: £188,400


Section six. Complementary information

six.3) Additional information

This service has been awarded using Regulation 32(2)(a) of the negotiated procedure without prior publication, in line with the PCR15 Regulations; following a non-award of contract ref: (2024/S 000-015058).

The successful provider did not meet the advertised Social Value requirement of the initial process advertised and following clarification and assurance from the provider of their ability, has been awarded the contract under Regulation 32.

six.4) Procedures for review

six.4.1) Review body

The High Court

The Strand

London

WC2A 2LL

Country

United Kingdom

Internet address

https://www.judiciary.uk/courts-and-tribunals/high-court/