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.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
- 72260000 - Software-related 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.
two.1.6) Information about lots
This contract is divided into lots: No
two.2) Description
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.
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
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.2.1) Previous publication concerning this procedure
Notice number: 2024/S 000-015058
Section five. Award of contract
A contract/lot is awarded: No
five.1) Information on non-award
The contract/lot is not awarded
No tenders or requests to participate were received or all were rejected
Section six. Complementary information
six.3) Additional information
Due to receiving no compliant bids, this process has been concluded as a non award.
six.4) Procedures for review
six.4.1) Review body
The High Court
The Strand
London
WC2A 2LL
Country
United Kingdom