Awarded contract

Published

Insourcing for Dermatology

6 suppliers have saved this notice.

Looks like a fit? Save this tender and qualify it in Stotles

Value

715,000 GBP

Current supplier

Medinet Clinical Services Ltd

Description

Insourcing for Dermatology Additional information: Schedule 5 Notice of Intention to follow the Most Suitable Provider Process Chesterfield Royal Hospital NHS Foundation Trust intends to follow the Most Suitable Provider Process in reference to Insourcing for Dermatology. Contract name: Specialist Consultant-Level Insourcing Support into the Dermatology Service. Contract ref: C324440 Award decision maker Joe Tansley, Service Manager, Specialised Medicine Care Unit CPV Code 85121282-3 Dermatology services

Unlock decision maker contacts.

Never miss a tender again

Get alerts, AI summaries and tools to qualify faster

Explore similar pre-tenders, open or awarded contracts

Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.

NHS SURREY AND SUSSEX INTEGRATED CARE BOARD

250,000 GBP

Published a day ago

NHS SURREY AND SUSSEX INTEGRATED CARE BOARD

500,000 GBP

Published 5 days ago

NHS Grampian

900,000 GBP

Published 12 days ago

NHS Grampian

900,000 GBP

Published 12 days ago

Northumbria Healthcare NHS Foundation Trust

40,500 GBP

Published 16 days ago

West Suffolk NHS Foundation Trust

148,755 GBP

Published 23 days ago

NHS Humber and North Yorkshire Integrated Care Board

93,590 GBP

Published a month ago

Somerset NHS Foundation Trust

46,800 GBP

Published a month ago

Hull University Teaching Hospitals NHS Trust

300,000 GBP

Published 2 months ago

Explore top buyers for public sector contracts

Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.

Explore over 15,000 buyers

Sign up to the Stotles Tender Tracker for free

Find even more contracts with advanced search capability and AI powered relevance scoring.