1771 Provision of Risk Stratification Algorithms Tool For NHS Arden and GEM CSU
This is a contract result notice, not an open opportunity. Details from the official award data.
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.<br/><br/>The Risk Stratification Algorithms/Tool must meet the following key requirements:<br/>Have a proven evidence base and be rigorously tested using standardised statistical metrics and support repeatable results from the same data set.<br/>Be continually updated and supported to reflect changes in clinical practice and patient behaviour.<br/>The tool should have had experience of operating in the NHS and with associated NHS data flows or equivalent.<br/>Must be predicated on clinical evidence including a combination of prescription, diagnosis, and event data rather than purely historical financial spend in secondary care.
What the supplier must deliver
NHS Arden & GEM CSU seeks competitive
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 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.
The tool should have had experience
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
Must be predicated on clinical evidence including a combination of prescription, diagnosis, and event data rather than purely historical financial spend in secondary care.
Derived from the notice text — always confirm against the original documents.
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- OCID
- ocds-h6vhtk-0458e8
- Stage
- award · Awarded
- Source
- Find a Tender
- Buyer ref
- 037619-2024
Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.
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