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Published date: 10 May 2024
Open opportunity - This means that the contract is currently active, and the buying department is looking for potential suppliers to fulfil the contract.
IT software package - 48517000
DE1 3QT
£0 to £190,000
CF-2362600D0O000000rwimUAA
10 May 2024
11 June 2024
5pm
1 July 2024
30 June 2025
Service contract
Open procedure (above threshold)
Any interested supplier may submit a tender in response to an opportunity notice.
This procedure can be used for procurements above the relevant contract value threshold.
Yes
No
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
Additional text
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
Should Tenderers have any queries, or having problems using the portal, they should contact Helpdesk at:
Phone: 0800 9956035
E-mail: support-health@atamis.co.uk
Follow the instructions given in the description or the more information section.
Mark Didcock AGEM
Cardinal Square 10 Nottingham Road
Derby
DE1 3QT
England
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