Preanalytical-Consultancy-Program

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Preanalytical-Consultancy-Program (SPCP)


In addition to high-quality products and coordinated system solutions, we focus on the individual consulting and training of our customers.

We have developed the SARSTEDT Preanalytical Consultancy Programme (SPCP) – a holistic concept that aims to qualitatively and quantitatively identify preanalytical error sources and implement a subsequent action plan for sustained optimisation. Together, we’ll examine your processes supported by a joint kick-off with the contact persons and departments involved.

Based on our checklist, we’ll take stock of your preanalytics and identify possible error sources before, during and after blood collection as well as in your laboratory itself. We’ll collaborate with you and use our many years of experience to determine the key points in your preanalytics and create a corresponding action plan to optimise your preanalytics. We’ll then measure the success of our measures together in order to asses the success of the SPCP.

Interested? Then please do get in touch with us and we’ll agree a joint meeting to discuss how to proceed further.

 

 

Would you like an individual consultation on your preanalytics? Get in touch with us.


Get in touch with us, we will be happy to help you. It's that simple:

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  2. Our product consultant will get back to you as soon as possible

 

Thank you very much. Your SARSTEDT team

 

 

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Let's work together: Discover the 360° solutions for your pre-analytics


SARSTEDT simplifies your work in practice and laboratory with its coordinated products and systems that are consolidated in the pre-analytical workflow product range. Take advantage of the synergies of our systems to simplify all processes before and after the actual laboratory analysis: collection, transport, receipt and distribution of the specimens in the laboratory. As a leading global provider of pre-analytical solutions and systems, SARSTEDT continuously strives to bring greater reliability and efficiency to your work in pre-analytics.


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