TY - JOUR
T1 - Digital competence in laboratory medicine
AU - Adler, Jakob
AU - Lenski, Marie
AU - Tolios, Alexander
AU - Taie, Santiago Fares
AU - Sopic, Miron
AU - Rajdl, Daniel
AU - Rampul, Ashlin
AU - Sancesario, Giulia
AU - Biemann, Ronald
N1 - Publisher Copyright:
© 2023 the author(s), published by De Gruyter, Berlin/Boston.
PY - 2023/8/1
Y1 - 2023/8/1
N2 - 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.
AB - 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.
KW - artificial intelligence
KW - data science
KW - digital competence
KW - digitalization
KW - skills
UR - http://www.scopus.com/inward/record.url?scp=85162925711&partnerID=8YFLogxK
U2 - 10.1515/labmed-2023-0021
DO - 10.1515/labmed-2023-0021
M3 - Article
AN - SCOPUS:85162925711
SN - 2567-9430
VL - 47
SP - 143
EP - 148
JO - Journal of Laboratory Medicine
JF - Journal of Laboratory Medicine
IS - 4
ER -