Digital competence in laboratory medicine
Аутори
Adler, JakobLenski, Marie
Tolios, Alexander
Taie, Santiago Fares
Sopić, Miron
Rajdl, Daniel
Rampul, Ashlin
Sancesario, Giulia
Biemann, Ronald
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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 pro...gramming, 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.
Кључне речи:
artificial intelligence / data science / digital competence / digitalization / skillsИзвор:
Journal of Laboratory Medicine, 2023, 47, 4, 143-148Издавач:
- Walter de Gruyter
Институција/група
PharmacyTY - JOUR AU - Adler, Jakob AU - Lenski, Marie AU - Tolios, Alexander AU - Taie, Santiago Fares AU - Sopić, Miron AU - Rajdl, Daniel AU - Rampul, Ashlin AU - Sancesario, Giulia AU - Biemann, Ronald PY - 2023 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4991 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. PB - Walter de Gruyter T2 - Journal of Laboratory Medicine T1 - Digital competence in laboratory medicine VL - 47 IS - 4 SP - 143 EP - 148 DO - 10.1515/labmed-2023-0021 ER -
@article{ author = "Adler, Jakob and Lenski, Marie and Tolios, Alexander and Taie, Santiago Fares and Sopić, Miron and Rajdl, Daniel and Rampul, Ashlin and Sancesario, Giulia and Biemann, Ronald", year = "2023", abstract = "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.", publisher = "Walter de Gruyter", journal = "Journal of Laboratory Medicine", title = "Digital competence in laboratory medicine", volume = "47", number = "4", pages = "143-148", doi = "10.1515/labmed-2023-0021" }
Adler, J., Lenski, M., Tolios, A., Taie, S. F., Sopić, M., Rajdl, D., Rampul, A., Sancesario, G.,& Biemann, R.. (2023). Digital competence in laboratory medicine. in Journal of Laboratory Medicine Walter de Gruyter., 47(4), 143-148. https://doi.org/10.1515/labmed-2023-0021
Adler J, Lenski M, Tolios A, Taie SF, Sopić M, Rajdl D, Rampul A, Sancesario G, Biemann R. Digital competence in laboratory medicine. in Journal of Laboratory Medicine. 2023;47(4):143-148. doi:10.1515/labmed-2023-0021 .
Adler, Jakob, Lenski, Marie, Tolios, Alexander, Taie, Santiago Fares, Sopić, Miron, Rajdl, Daniel, Rampul, Ashlin, Sancesario, Giulia, Biemann, Ronald, "Digital competence in laboratory medicine" in Journal of Laboratory Medicine, 47, no. 4 (2023):143-148, https://doi.org/10.1515/labmed-2023-0021 . .