France – Cathéters – 2026-069 - FOURNITURE DE CATHETERS DE THROMBECTOMIE POUR LE CENTRE HOSPITALIER DE LENS

DeadlineJune 3, 2026 at 10:00 AMClosed 42 days ago

AI summary

This tender concerns the supply of thrombectomy catheters for Lens Hospital Centre. The framework agreement will be executed through purchase orders, with payment based on unit prices.

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Fit for

Medical device suppliers or distributors specializing in interventional cardiology or vascular catheters should bid.

Key requirements

Suppliers must be capable of delivering thrombectomy catheters meeting hospital-grade specifications. Quantities and detailed technical requirements are specified in the tender documents.

Frequently asked questions

  • What is this tender about?

    This tender concerns the supply of thrombectomy catheters for Lens Hospital Centre. The framework agreement will be executed through purchase orders, with payment based on unit prices.

  • What are the requirements for suppliers?

    Suppliers must be capable of delivering thrombectomy catheters meeting hospital-grade specifications. Quantities and detailed technical requirements are specified in the tender documents.

  • What type of company should bid?

    Medical device suppliers or distributors specializing in interventional cardiology or vascular catheters should bid.

  • Who is the buyer?

    The buyer is Centre Hospitalier de Lens.

  • When does this tender close?

    Submissions close on June 3, 2026.

  • What is the estimated value?

    The estimated value is 0 EUR.

Les seuils sont exprimés en quantité au sein des documents de la consultation. L'accord-cadre sera exécuté par l'émission de bons de commande. Les prestations sont réglées par des prix unitaires

Buyer
Centre Hospitalier de Lens
Buyer ID: 66620·DONIUS Bruno
99 Route de La Bassée, 62307, Lens
Body responsible for review procedures
Tribunal administratif de Lille
Buyer ID: A66203DF-B18C-4A9D-F1880EF1DD4F8934
143, rue Jacquemars Giélée, 59014, Lille
Other organization
Avenue-Web Systèmes
Buyer ID: A66203A7-EE56-8B0B-753B011CBF985648
38170, Seyssinet-Pariset

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AI document analysis

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