A digital transformation endeavour should not be considered different than any other when it comes to set the good foundation of a project. Even though very specific technical skills are required to identify the best “fit to purpose” tools to manage the data of your processes, this should not affect the way to initiate this project.
A Digital Transformation project should challenge the status quo
In our previous article, we were setting the stage and mentioning the need to clarify Read More...
Today life is made of digital activities and interactions all day long. However, our laboratory processes have still a long way to become paperless and take advantage of the benefits in digitalizing the lab processes along the whole data lifecycle. This article provides some guidance on the concept and how to start a digital transformation project efficiently.
From paper to digital – the change
Our daily activities are now based on digital systems. We are reading newspapers, books, articles (like this Read More...
At NL42 we are extremely pleased with the results and feedback received after the recent acquisition of the event’s organization ( Press Release)
The event is dedicated to companies needing to adopt a paperless approach in their scientific data management throughout the product life cycle.
We decided to focus this year’s edition on the Internet of Lab things (IoLT) with the title “2020 Roadmap for Digital Convergence – transforming scientific information into actionable insight“.
The event consists of a balanced mix of plenary and workshop sessions. Read More...
italiano – english
La gestión de datos en laboratorios es una responsabilidad de gran repercusión en toda la compañía ya que no implica solo la gestión del flujo de trabajo en el propio laboratorio. La recogida de datos se inicia en el momento de la recepción de las muestras, sigue la toma de decisión en cuanto al análisis que deban experimentar (analista, PNT, urgencias del cliente…) y concluye con la entrega del informe final y su facturación.
Es correcto pensar que Read More...
Laboratory data management is a responsibility of great impact across the company
It implies not only the management of the workflow in the laboratory itself. Data collection begins at the moment of samples reception, follows with the decision related to the analysis to be executed (analyst, Standard Operating Procedures, customer priorities…) and ends with the delivery of the final report and invoicing.
For computer experts it should be easy to design such informatics solutions. If it were not that each Read More...
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