Sample Transport Monitoring

S4DX Datalogger and S4DX Lab Gateway

Digital preanalytics

Closing the gap

This digital preanalytics closes the data gap between sample collection and analysis in the laboratory. The digitalization process makes preanalytical procedures fully traceable and verifable, which optimizes worfkflows and reduces laboratory costs.

Meaningfull monitoring

And not only that. The most critical preanalytical errors include incorrect patient identification, insufficient sample volume, incorrect or missing material or sample type, and incorrect sample handling. Through real-time communication with on-site sampling personnel, the error frequency is significantly reduced.

Intelligent blood sample container

The company Smart4Diagnostics has developed a technical sensor in the form of a conventional blood sample container (tube) to measure all important environmental conditions of human blood samples on their way between patient and laboratory. In doing so, the reusable S4DX Datalogger records temperature, time and shock paratmeters of the transport of each sample in a digital, individual quality stamp, saving resources.

More data with added value

With the additionally developed S4DX Lab Gateway a digital and fully automatic recording of all patient, transport and order data takes place. Courier trips between sender and laboratory can be ideally coordinated, and a barcode is not necessary. This also enables complete data overview for the sender.

Maturation to series

BYTEC took over the development with the creation of the specifications and led S4DX Datalogger and S4DX Lab Gateway to production readiness. The tasks here were, among others, the optimization of hardware costs, the development of a robust power supply, the adaptation of the housing for simple evaluation by the laboratory information system and the support of the test institutes to achieve the CE mark. This succeeded with the prototypes we built.

Efficient collaboration

This novel method sets new standards for sample analysis. It saves costs in sample logistics, automates sample input and minimizes repeat measurements. Efficient collaboration at a high level - as in our project.

„Thanks to many years of expertise in the areas of development and production, BYTEC has always been a competent and trustworthy strategic partner for us. In this way, our products Datalogger and Lab Gateway could be optimized for series production.“

Dr. Yannik Timo Böge

Smart4Diagnostics GmbH

Quality for quantity

Thanks to the cooperative partnership, improvements such as the reduction of production times could be implemented in the construction of the pilot and zero series. All in all a quality “Made in Germany” which we make standard with our series production for medical products.



Useful knowledge
  • Up to 75 per cent of all errors in the diagnostic process occur during pre-analytics.1
  • Scientific studies have shown that the average cost of each pre-analytical error is around USD 208 and that these errors add up to 1.2 per cent of hospital operating costs.2
    They also put a strain on hospital and laboratory resources.
  • The most critical pre-analytical errors include incorrect patient identification, having not enough sample volume, an incorrect or missing material or sample type, and incorrect sample handling.3
  • In addition, the sample quality, particularly in view of haemolysis rates, is a considerable influencing factor, which can be demonstrably reduced with the right blood sampling system.4
1 Sonmez, Cigdem et al. Preanalytical Phase Errors: Experience of a Central Laboratory . Cureus Vol. 12,3 e7335. 20 .03.2020, DOI:10.7759/cureus.7335.
2 Green SF. The cost of poor blood specimen quality and errors in preanalytical processes. Clin Biochem. 2013;46:1175–1179.
3 Upreti S, Upreti S, Bansal R et al. Types and frequency of preanalytical errors in haematology lab. J Clin Diagn Res. 2013;7(11):2491–2493; Salvagno GL, Lippi G, Bassi A et al. Prevalence and type of pre-analytical problems for inpatients samples in coagulation laboratory. J Eval Clin Pract. 2008;14:351–353.
4 Lippi, et al. Prevention of hemolysis in blood samples collected from intravenous catheters. Clin Biochem 2013;46:561-564.- 1.

Further Success Stories