# 1986 Risk Stratification Algorithm Tool for NHS Arden &amp; GEM CSU

> A sourced UK public sector contract award published by NHS Arden and Greater East Midlands Commissioning Support Unit.

## Key facts

- Buyer: [NHS Arden and Greater East Midlands Commissioning Support Unit](/buyers/nhs-arden-and-greater-east-midlands-commissioning-support-unit/contract-awards)
- Supplier: [Johns Hopkins HealthCare LLC](/suppliers/johns-hopkins-healthcare-llc/public-sector-contract-awards)
- Award value: £229,320
- Award date: 1 October 2025
- Published: 21 October 2025
- Contract start: 18 November 2025
- Contract end: 17 November 2026
- Stage: awarded
- Procurement category: services
- Notice ID: 146c84bb-bd63-4ba6-b89a-9b32bc83ad3b-868951
- OCID: ocds-b5fd17-104799ea-e0cf-4fff-91ef-768b6ab62a86

## Description

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\.

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## Source

[View the original notice on Contracts Finder](https://www.contractsfinder.service.gov.uk/Notice/146c84bb-bd63-4ba6-b89a-9b32bc83ad3b-868951)
