Award

Automated Quantitative Digital Pathology Imaging System

THE ROYAL MARSDEN NHS FOUNDATION TRUSTS

This public procurement record has 1 release in its history.

Award

07 Jun 2019 at 10:56

Summary of the contracting process

The Royal Marsden NHS Foundation Trust is seeking to procure an Automated Quantitative Digital Pathology Imaging System, classified under medical laboratory services. The tender is currently in the award stage, with the contract value set at £376,194. The procurement process included a VEAT Notice published to allow for a standstill period which ended on 1st April 2019. The contract period will commence on 1st July 2019 and conclude on 30th June 2020, with delivery expected at a site located in London, United Kingdom.

This procurement presents substantial opportunities for businesses specialising in medical imaging technologies and laboratory services, particularly small and medium-sized enterprises (SMEs) and innovative tech firms with unique product offerings. Competitors with experience in developing advanced imaging systems or similar medical technologies would be well-suited to engage with this tender, potentially expanding their market presence through collaboration with prominent NHS trusts.

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Notice Title

Automated Quantitative Digital Pathology Imaging System

Notice Description

As Vectra Polaris is still not covered in any national frame work and considering its unique features which makes it completely distinguished from all other substitute products available in the market, a decision of publishing the VEAT Notice on OJEU was taken. The VEAT Notice was published on OJUE on ... and a Stand Still period of ten days was observed to give opportunity to other probable suppliers in the market to challenge the decision. The Stand still period came to an end and on 01st April 2019 and no challenge has been received.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-07058a78-ddcd-4ee3-ba2c-f10c0b422f42
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/fcf4f475-60bd-4e60-84fa-f530adf84d56
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Goods
Procurement Method
Not Specified
Procurement Method Details
Other -
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

85 - Health and social work services


CPV Codes

85145000 - Services provided by medical laboratories

Notice Value(s)

Tender Value
£376,194 £100K-£500K
Lots Value
Not specified
Awards Value
£376,194 £100K-£500K
Contracts Value
Not specified

Notice Dates

Publication Date
7 Jun 20196 years ago
Submission Deadline
2 Apr 2019Expired
Future Notice Date
Not specified
Award Date
6 Jun 20196 years ago
Contract Period
30 Jun 2019 - 30 Jun 2020 1-2 years
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
THE ROYAL MARSDEN NHS FOUNDATION TRUSTS
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
SW10 0XD
Post Town
South West London
Country
England

Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI33 Kensington & Chelsea and Hammersmith & Fulham
Delivery Location
TLI London

Local Authority
Hammersmith and Fulham
Electoral Ward
Sands End
Westminster Constituency
Chelsea and Fulham

Supplier Information

Number of Suppliers
1
Supplier Name

AKOYA BIOSCIENCES

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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