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Nearly half of the respondents in NNIT’s Expectation Barometer 2023 survey place heightened integration of AI at the top of their priority list. However, prior to fully embracing AI, life sciences companies should prioritize the people and business processes that will become AI’s closest allies.
Artificial intelligence (AI) has moved into the public sector, and the Danish authorities are exploring how the technology can become a valuable tool. According to NNIT's Jannic Stolzenbach Jensen, transparency and human supervision will be crucial in ensuring that AI can improve welfare.
Like the rest of the world, the life sciences industry is right in the eye of a raging storm of multiple rapid changes. According to Ricco Larsen, Senior Vice President at NNIT, the top priority for pharma companies is to invest in a solid data foundation so they are fully prepared for what comes next.
The potential benefits of an electronic Trial Master File (eTMF) system extend far beyond clinical operations. As Tróndur Ellingsgaard, Advisory Consultant at NNIT explains, a mature eTMF can enhance efficiency, foster greater collaboration across the organization, and enable informed decision-making.
Implementing an electronic Trial Master File (eTMF) system can revolutionize the way clinical trials are managed. However, as Michael Agard, Director of Clinical Consulting at NNIT, points out, the true value of eTMF lies in post-implementation management.
When public authorities base their IT tenders on the standards set by FDA (Fællesoffentlig Digital Arkitektur), the risk is that they will get IT systems that do not match the complex requirements of public case-handling, so say two NNIT public IT experts.
The backbone of every clinical trial is undergoing an inevitable digital revolution. Klaudia Markowski, Senior Business Consultant at NNIT, explains why the appropriate time to implement an electronic Trial Master File (eTMF) might be sooner than you think.
NNIT supports the UN Sustainable Development Goals with a special focus on no. 5 (among others). This goal focuses on gender equality, and how we can make changes in order to offer all genders the same opportunities. Carissa Choh is a great example of how to practice this strategy in real life.
Meet Lasse Lanng Pedersen and Martin Vang Jeppesen who on a daily basis make the NNIT wheels spin at our datacenter in Bagsværd, Denmark. After office hours, they spend time sharing their expert knowledge with the future datacenter specialists of Denmark by teaching at Copenhagen School of Marine Engineering and Technology Management.
Security practice is shifting from prevention to detection. Wannacry proves that detection can be straightforward.
9-1-1 or 1-1-2 is used globally when calling for help. But which number is used for requesting cyber-help?
Super exciting read from Kasper Jensen, consultant in NNIT, who just got his paper published in Springer Nature. The paper describes how to use Digitization, Big Data and Machine Learning in Healthcare to help healthcare providers profile cancer patients and "catch” patient events and disease progression in due time: http://go.nature.com/2pumoGG
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