Digital competence in laboratory medicine

Jakob Adler*, Marie Lenski, Alexander Tolios, Santiago Fares Taie, Miron Sopic, Daniel Rajdl, Ashlin Rampul, Giulia Sancesario, Ronald Biemann

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)


Objectives: Even though most physicians and professionals in laboratory medicine have received basic training in statistics, experience shows that a general understanding of data analysis is not yet available on a broad scale. Therefore, data literacy, data-driven decision making, and computational thinking should be implemented in future educational training. To evaluate the state of digital competence among young scientists (YS) in laboratory medicine, we launched a worldwide online survey. Methods: A global online survey was conducted from 25/05/2022 to 26/06/2022 and was disseminated to YS who are listed in three large networks: YS of the DGKL, the EFLM Task Group-YS, and IFCC Task Force-YS and its corresponding members, covering a base of 53 countries. Results: A total of 119 young scientists from 40 countries participated in this survey. 80% did not learn digital skills in their academic education but 96% felt they needed to. Digital literacy was associated with terms such as programming, artificial intelligence and machine learning, statistics, communication, Big Data and data analytics. Conclusions: The results of our survey show that more knowledge and training in the area of digital skills is not just necessary, but also wanted by young scientists. A varied learning environment consisting of tutorial articles, videos, exercises, technical articles, collection of helpful links, online meetings and in person bootcamps is crucial to meet the challenges of an international project with different languages, health systems and time zones.

Original languageEnglish
Pages (from-to)143-148
Number of pages6
JournalJournal of Laboratory Medicine
Issue number4
Publication statusPublished - 1 Aug 2023
Externally publishedYes


  • artificial intelligence
  • data science
  • digital competence
  • digitalization
  • skills


Dive into the research topics of 'Digital competence in laboratory medicine'. Together they form a unique fingerprint.

Cite this