1808 Risk Stratification Algorithms Tool for NHS AGEM CSU
NHS Arden and Greater East Midlands Commissioning Support Unit · United Kingdom
Key facts
- Contract value
- £188,400
- Awarded
- 15 Nov 2024
- Contract starts
- 18 Nov 2024
- Contract ends
- 17 Nov 2025
- Procedure
- Negotiated procedure without prior publication (above threshold)
- Buyer type
- Health
- Source
- Contracts Finder
Awarded to
| Supplier | Value |
|---|---|
| Johns Hopkins Healthcare LLC | £188,400 |
Description
NHS Arden & GEM CSU sought 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.
Additional information: This service has been awarded using Regulation 32(2)(a) of the negotiated procedure without prior publication, in line with the PCR15 Regulations; following a non-award of contract ref: (2024/S 000-015058).
The successful provider did not meet the advertised Social Value requirement of the initial process advertised and following clarification and assurance from the provider of their ability, has been awarded the contract under Regulation 32.
Categories (CPV)
- 72212517 IT software development services
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