Award

1808 Risk Stratification Algorithms Tool for NHS AGEM CSU

NHS ARDEN AND GEM CSU

This public procurement record has 3 releases in its history.

Award

26 Nov 2024 at 13:55

Award

21 Nov 2024 at 10:10

Tender

10 May 2024 at 15:34

Summary of the contracting process

The procurement contracting process initiated by NHS Arden and GEM CSU sought competitive offers for the supply, installation, support, and maintenance of Risk Stratification Algorithms within a Tool to manage a population of 3.3 million patients. This award, dated 26th November 2024, follows a competitive procedure with negotiation under Regulation 32(2)(a) and is categorised under IT software development services. The award has been made to Johns Hopkins HealthCare LLC. The procurement stage is in the Award phase with the contract dated 15th November 2024, with the process now completed. The work is to be conducted in Leicester (region UKF2) and includes a focus on health services.

This tender offers substantial growth opportunities for businesses specialising in IT software development and healthcare data management. The key requirements for the tool, which include rigorous testing, adherence to clinical evidence, and integration with NHS data flows, are well-suited to companies with a proven track record in these domains. Furthermore, the contract's value of £188,400 presents significant business potential for firms able to provide continuous support and updates to reflect changes in clinical practices and patient behaviour. Companies experienced in operating within NHS structures and data environments can leverage this contract to expand their portfolio and technical capabilities.

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Notice Title

1808 Risk Stratification Algorithms Tool for NHS AGEM CSU

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

Lot Information

Lot 1

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.

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-0458e8
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/038164-2024
Current Stage
Award
All Stages
Tender, Award

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Competitive procedure with negotiation
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

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


CPV Codes

72212517 - IT software development services

Notice Value(s)

Tender Value
£190,000 £100K-£500K
Lots Value
£190,000 £100K-£500K
Awards Value
Not specified
Contracts Value
£188,400 £100K-£500K

Notice Dates

Publication Date
26 Nov 20241 years ago
Submission Deadline
11 Jun 2024Expired
Future Notice Date
Not specified
Award Date
15 Nov 20241 years ago
Contract Period
30 Jun 2024 - 30 Jun 2025 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Cancelled
Awards Status
Active, Unsuccessful
Contracts Status
Active

Contracting Authority (Buyer)

Main Buyer
NHS ARDEN AND GEM CSU
Contact Name
Mark Didcock
Contact Email
mark.didcock@nhs.net
Contact Phone
Not specified

Buyer Location

Locality
LEICESTER
Postcode
LE1 6NB
Post Town
Leicester
Country
England

Major Region (ITL 1)
TLF East Midlands (England)
Basic Region (ITL 2)
TLF2 Leicestershire, Rutland and Northamptonshire
Small Region (ITL 3)
TLF21 Leicester
Delivery Location
TLF1 Derbyshire and Nottinghamshire

Local Authority
Leicester
Electoral Ward
Castle
Westminster Constituency
Leicester South

Supplier Information

Number of Suppliers
1
Supplier Name

JOHNS HOPKINS HEALTHCARE

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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