Tender

1771 Provision of Risk Stratification Algorithms Tool For NHS Arden and GEM CSU

NHS ARDEN AND GREATER EAST MIDLANDS COMMISSIONING SUPPORT UNIT

This public procurement record has 1 release in its history.

Tender

10 May 2024 at 15:36

Tender Notice
Summary of the contracting process

The NHS Arden and Greater East Midlands Commissioning Support Unit is seeking competitive offers for the supply, installation, support, and maintenance of Risk Stratification Algorithms within a Tool to cover a population of 3.3 million patients. The tender, titled "Provision of Risk Stratification Algorithms Tool For NHS Arden and GEM CSU," falls under the IT software package category and is located in Derby, England. The procurement stage is currently active, with the tender deadline set for June 11, 2024. The contract period is scheduled to start on July 1, 2024, and end on June 30, 2025.

This tender from NHS Arden and GEM CSU presents an opportunity for businesses interested in providing services related to risk stratification algorithms. Small and medium-sized enterprises (SMEs) are well-suited to compete in this open procedure tender, which requires the tool to meet specific clinical evidence-based criteria and utilise acute and primary care data records. The procurement method is an open procedure above the threshold, providing SMEs a chance to participate in a competitive bidding process and potentially secure a contract with NHS Arden and GEM CSU.

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Notice Information

Notice Title

1771 Provision of Risk Stratification Algorithms Tool For NHS Arden and GEM CSU

Notice Description

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 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. To register your interest, please follow the link below, and search for the project reference as detailed: https://health-family.force.com/s/Welcome Project Reference: C283610 Project Name: 1771 Provision of Risk Stratification Algorithms Tool For NHS Arden and GEM CSU Additional information: To register your interest, please follow the link below, and search for the project reference as detailed: https://health-family.force.com/s/Welcome Project Reference: C283610 Project Name: 1771 Provision of Risk Stratification Algorithms Tool For NHS Arden and GEM CSU Should Tenderers have any queries, or having problems using the portal, they should contact Helpdesk at: Phone: 0800 9956035 E-mail: support-health@atamis.co.uk

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-f38d5e8a-b52a-47fc-b25a-df95e91ef6e3
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/768f0c9c-16b1-4240-bcaa-e689ad3b28c8
Current Stage
Tender
All Stages
Tender

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure (above threshold)
Tender Suitability
SME
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems

CPV Codes

48517000 - IT software package

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
10 May 20241 years ago
Submission Deadline
11 Jun 2024Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
30 Jun 2024 - 30 Jun 2025 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Active
Lots Status
Not Specified
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
NHS ARDEN AND GREATER EAST MIDLANDS COMMISSIONING SUPPORT UNIT
Contact Name
Mark Didcock AGEM
Contact Email
mark.didcock@nhs.net
Contact Phone
Not specified

Buyer Location

Locality
DERBY
Postcode
DE1 3QT
Post Town
Derby
Country
England
Major Region (ITL 1)
TLF East Midlands (England)
Basic Region (ITL 2)
TLF1 Derbyshire and Nottinghamshire
Small Region (ITL 3)
TLF11 Derby
Delivery Location
TLF East Midlands (England)
Local Authority
Derby
Electoral Ward
Darley
Westminster Constituency
Derby North

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

Download

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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