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
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.3) Communication
The procurement documents are available for unrestricted and full direct access, free of charge, at
https://health-family.force.com/s/Welcome
Additional information can be obtained from the above-mentioned address
Tenders or requests to participate must be submitted electronically via
https://health-family.force.com/s/Welcome
Tenders or requests to participate must be submitted to the above-mentioned address
Electronic communication requires the use of tools and devices that are not generally available. Unrestricted and full direct access to these tools and devices is possible, free of charge, at
https://health-family.force.com/s/Welcome
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
1771 Provision of Risk Stratification Algorithms Tool For NHS Arden and GEM CSU
Reference number
C283610
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 seeks 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.1.5) Estimated total value
Value excluding VAT: £190,000
two.1.6) Information about lots
This contract is divided into lots: No
two.2) Description
two.2.2) Additional CPV code(s)
- 48517000 - IT software package
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 seeks 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.
To register your interest, please follow the link below, and search for the project reference as detailed: https://health-family.force.com/s/Welcome
Project Reference: C283610
Project Name: 1771 Provision of Risk Stratification Algorithms Tool For NHS Arden and GEM CSU
two.2.5) Award criteria
Price is not the only award criterion and all criteria are stated only in the procurement documents
two.2.6) Estimated value
Value excluding VAT: £190,000
two.2.7) Duration of the contract, framework agreement or dynamic purchasing system
Start date
1 July 2024
End date
30 June 2025
This contract is subject to renewal
No
two.2.10) Information about variants
Variants will be accepted: No
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
Open procedure
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.2.2) Time limit for receipt of tenders or requests to participate
Date
11 June 2024
Local time
5:00pm
four.2.4) Languages in which tenders or requests to participate may be submitted
English
four.2.6) Minimum time frame during which the tenderer must maintain the tender
Duration in months: 4 (from the date stated for receipt of tender)
four.2.7) Conditions for opening of tenders
Date
10 May 2024
Local time
6:00pm
Section six. Complementary information
six.1) Information about recurrence
This is a recurrent procurement: No
six.3) Additional information
To register your interest, please follow the link below, and search for the project reference as detailed: https://health-family.force.com/s/Welcome
Project Reference: C283610
Project Name: 1771 Provision of Risk Stratification Algorithms Tool For NHS Arden and GEM CSU
six.4) Procedures for review
six.4.1) Review body
The High Court
The Strand
London
WC2A 2LL
Country
United Kingdom