Award

P2017/1127/PE - HNT Grand Funding - Development of a Predictive Modelling Tool for Planned and Unplanned Care in Support of Hub Development - Direct Award

DARLINGTON BOROUGH COUNCIL

This public procurement record has 1 release in its history.

Award

13 Sep 2017 at 15:12

Summary of the contracting process

Darlington Borough Council is seeking to develop a Predictive Modelling Tool for Planned and Unplanned Care in Support of Hub Development, as indicated in the tender titled "P2017/1127/PE - HNT Grand Funding." The contract, valued at £23,841, falls under the Education and training services category, with additional classifications in Health and social work services. The procurement process is conducted via an open procedure, and the tender period concluded on 13th March 2017, while the contract period runs from 20th March 2017 to 31st July 2017. The work is to be delivered in the North East region of the United Kingdom.

This tender presents a unique opportunity for SMEs and voluntary community sector enterprises that specialise in predictive modelling, healthcare solutions, or technology services. Businesses that can enhance data-driven health management systems or those with experience in healthcare analytics would be particularly well-suited to compete. Engaging with this contract could help such companies expand their client base within the public sector, streamline their offerings, and establish partnerships with esteemed organisations like Durham University, the successful supplier for this contract.

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Notice Title

P2017/1127/PE - HNT Grand Funding - Development of a Predictive Modelling Tool for Planned and Unplanned Care in Support of Hub Development - Direct Award

Notice Description

P2017/1127/PE - HNT Grand Funding - Development of a Predictive Modelling Tool for Planned and Unplanned Care in Support of Hub Development - Direct Award

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-2de2e6cf-3dda-43c9-b31d-5f04c71c1df5
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/4aef108f-0cd0-4d54-b658-7795eefb4082
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure
Tender Suitability
SME, VCSE
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

80 - Education and training services

85 - Health and social work services


CPV Codes

80000000 - Education and training services

85000000 - Health and social work services

Notice Value(s)

Tender Value
£23,841 Under £100K
Lots Value
Not specified
Awards Value
£23,841 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
13 Sep 20178 years ago
Submission Deadline
13 Mar 2017Expired
Future Notice Date
Not specified
Award Date
14 Mar 20178 years ago
Contract Period
20 Mar 2017 - 31 Jul 2017 1-6 months
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
DARLINGTON BOROUGH COUNCIL
Contact Name
Stephanie Cox
Contact Email
stephanie.cox@darlington.gov.uk
Contact Phone
+44 1325405498

Buyer Location

Locality
DARLINGTON
Postcode
DL1 5QT
Post Town
Darlington
Country
England

Major Region (ITL 1)
TLC North East (England)
Basic Region (ITL 2)
TLC3 Tees Valley
Small Region (ITL 3)
TLC33 Darlington
Delivery Location
TLC North East (England)

Local Authority
Darlington
Electoral Ward
Park East
Westminster Constituency
Darlington

Supplier Information

Number of Suppliers
1
Supplier Name

DURHAM UNIVERSITY

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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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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