Awarded

Risk Stratification Algorithm Tool for NHS Arden & GEM CSU

Descriptions

Risk Stratification Algorithms Tool for NHS Arden and Greater East Midlands Commissioning Support Unit.

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.

Procured using NHS South, Central and West Commissioning Support Unit (SCW) Scope of Dynamic Purchasing System 2.0 - Lot 1 - Clinical Measurement - Clinical Measurement.

Timeline

Published Date :

21st Oct 2025 3 months ago

Deadline :

20th Aug 2025 5 months ago

Contract Start :

N/A

Contract End :

N/A

CPV Codes

Keywords

platform module coding

integration adapters

server-side logic design

IT toolchain development

API gateway creation

system architecture modules

enterprise IT module programming

backend scalability support

backend service development

microservices implementation

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Workflows

Status :

Awarded

Procedure :

CallOffFromFrameworkAgreement

Suitable for SME :

Yes

Nationwide :

No

Assign to :

Tender Progress :

0%

Details

Notice Type :

Tender

Tender Identifier :

IT-378-246-T: 2024 - 001

Tenderbase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk