adesso BLOG

If a piece of software is designed by the vendor for therapeutic or diagnostic purposes, it is regarded as a medical device under the law. That means that the manufacturer must comply with all applicable laws and hence all guidelines set out in the different standards there are. In my blog post, I will describe how the expectations described in the standards and regulations can be presented and grouped to ensure it is possible to examine and document them as part of a larger overall process.

In an increasingly digitalised world where data is transmitted to other countries, it is essential that personal data is protected. This is especially true when it comes to the cross-border transfer of health data. In this blog post, I will explain what impact the Data Privacy Framework has on the transfer of health data between the EU and the US and what effect this has on how digital health apps are run.

Working on and supporting projects in the life sciences sector means dealing with a whole host of regulatory requirements. In this blog post, I will provide an overview of which standards, regulations, laws and guidelines might be involved and what impact they have on project management.

Lab 4.0 is garnering a lot of attention at the moment – and rightfully so. It is more than just a passing trend; it marks a major leap forward in both technology and how we think on a societal level. But what exactly is lab 4.0? What are the goals being pursued with its rollout and what is the timeline on when they might be achieved? I explore these questions in my latest blog post.

Laboratories are working hard today to solve the problems created by the exponential increase in data. One promising approach is single source of truth (SSOT). In this blog post, I will explain the underlying concept behind SSOT as well as the advantages it brings.

The era of digitalisation has seen the amount of data available increase exponentially. That is why good communication between instances is still the key to managing it – and data standards play a major role in this. This blog post will explain which challenges data standards can solve.

Since work to redesign laboratories is already underway these days, it can be assumed that in ten years, the laboratories of the future will look much different than they do now. But how might they look? In my blog post, I will use the example of a fictitious scientist named Alva to describe the day-to-day work in a laboratory in the year 2033.

The path to successful digitalisation in the laboratory requires the use of IT systems. While a large part of the documentation and data volume for manual process steps is kept on paper, an increased level of digitalisation also entails an increased volume of data. This makes it all the more important to ensure that the IT systems that are used are validated so that the data that’s generated and processed is subject to the required quality criteria.