Tender

UCLH-1994 - Provision of Speech Rcognition Patform (SaaS)

UNIVERSITY COLLEGE LONDON HOSPITALS NHS FOUNDATION TRUST (UCLH)

This public procurement record has 1 release in its history.

Tender

31 May 2018 at 08:19

Summary of the contracting process

The University College London Hospitals NHS Foundation Trust (UCLH) is currently inviting tenders for the provision of a Speech Recognition Platform (SaaS) under the tender reference UCLH-1994. This procurement falls under the software package and information systems sector and is set in London, United Kingdom. The tender period ends on 8th June 2018, and the contract is anticipated to commence on 2nd July 2018, lasting until 30th June 2022. The value of the contract is estimated at £500,000, and it will be a single contract awarded using Lot 4 of the SBS Digital Dictation framework.

This tender provides an excellent opportunity for businesses specialising in software solutions, particularly those with expertise in speech recognition systems, to grow and expand their clientele. Small and medium-sized enterprises (SMEs) are particularly well-suited to compete for this contract, especially those that can demonstrate experience integrating similar systems within live environments, as required by UCLH. Given the urgent timeline for implementation, businesses with a proven track record and capabilities in rapid deployment will be at a competitive advantage.

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Notice Title

UCLH-1994 - Provision of Speech Rcognition Patform (SaaS)

Notice Description

Contracts arising from this invitation to tender will be based upon the SBS Digital Dictation, Speech Recognition & Outsourced Transcription framework, reference: SBS/15/PC/WCC/8873. UCLH intend to let a single contract using Lot 4 - Speech Recognition (SaaS) of the framework. Time Constraint: UCLH have a requirement to commence testing of the electronic health records system towards the end of July 2018. It is essential that the speech recognition system is capable of running in any test build at this stage. Therefore, due to time constraints, it is a condition of this contract and a mandatory requirement that the proposed solution must have previously integrated and be proven within a live environment of the Epic EHRS system.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-ba9799aa-8079-4dc0-87cf-77d7adf12041
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/0ef47c62-f274-4925-af08-684aaededdb7
Current Stage
Tender
All Stages
Tender

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Other -
Tender Suitability
SME
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems


CPV Codes

48000000 - Software package and information systems

Notice Value(s)

Tender Value
£500,000 £500K-£1M
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
31 May 20187 years ago
Submission Deadline
8 Jun 2018Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
1 Jul 2018 - 30 Jun 2022 3-4 years
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
UNIVERSITY COLLEGE LONDON HOSPITALS NHS FOUNDATION TRUST (UCLH)
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
W1T 7NF
Post Town
West London
Country
England

Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI36 Camden
Delivery Location
TLI London

Local Authority
Camden
Electoral Ward
Bloomsbury
Westminster Constituency
Holborn and St Pancras

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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