Notice Information
Notice Title
1808 Risk Stratification Algorithms Tool for NHS AGEM CSU
Notice 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.<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.<br/>Be able to utilise, as a minimum, acute, and primary care data records as a basis for its stratification<br/>Use multiple years of data to support a longitudinal record which can be updated on an automated basis by AGCSU.
Lot Information
Lot 1
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.
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.
Notice Details
Publication & Lifecycle
- Open Contracting ID
- ocds-h6vhtk-0458e8
- Publication Source
- Find A Tender Service
- Latest Notice
- https://www.find-tender.service.gov.uk/Notice/038164-2024
- Current Stage
- Award
- All Stages
- Tender, Award
Procurement Classification
- Notice Type
- Tender Notice
- Procurement Type
- Standard
- Procurement Category
- Services
- Procurement Method
- Selective
- Procurement Method Details
- Competitive procedure with negotiation
- Tender Suitability
- Not specified
- Awardee Scale
- Large
Common Procurement Vocabulary (CPV)
- CPV Divisions
72 - IT services: consulting, software development, Internet and support
-
- CPV Codes
72212517 - IT software development services
Notice Value(s)
- Tender Value
- £190,000 £100K-£500K
- Lots Value
- £190,000 £100K-£500K
- Awards Value
- Not specified
- Contracts Value
- £188,400 £100K-£500K
Notice Dates
- Publication Date
- 26 Nov 20241 years ago
- Submission Deadline
- 11 Jun 2024Expired
- Future Notice Date
- Not specified
- Award Date
- 15 Nov 20241 years ago
- Contract Period
- 30 Jun 2024 - 30 Jun 2025 6-12 months
- Recurrence
- Not specified
Notice Status
- Tender Status
- Complete
- Lots Status
- Cancelled
- Awards Status
- Active, Unsuccessful
- Contracts Status
- Active
Buyer & Supplier
Contracting Authority (Buyer)
- Main Buyer
- NHS ARDEN AND GEM CSU
- Contact Name
- Mark Didcock
- Contact Email
- mark.didcock@nhs.net
- Contact Phone
- Not specified
Buyer Location
- Locality
- LEICESTER
- Postcode
- LE1 6NB
- Post Town
- Leicester
- Country
- England
-
- Major Region (ITL 1)
- TLF East Midlands (England)
- Basic Region (ITL 2)
- TLF2 Leicestershire, Rutland and Northamptonshire
- Small Region (ITL 3)
- TLF21 Leicester
- Delivery Location
- TLF1 Derbyshire and Nottinghamshire
-
- Local Authority
- Leicester
- Electoral Ward
- Castle
- Westminster Constituency
- Leicester South
Further Information
Open Contracting Data Standard (OCDS)
View full OCDS Record for this contracting process
The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.
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