Digital competence in laboratory medicine
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 sho...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2023-08-01
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| Series: | Journal of Laboratory Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/labmed-2023-0021 |
| _version_ | 1797752496936976384 |
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| author | Adler Jakob Lenski Marie Tolios Alexander Taie Santiago Fares Sopic Miron Rajdl Daniel Rampul Ashlin Sancesario Giulia Biemann Ronald |
| author_facet | Adler Jakob Lenski Marie Tolios Alexander Taie Santiago Fares Sopic Miron Rajdl Daniel Rampul Ashlin Sancesario Giulia Biemann Ronald |
| author_sort | Adler Jakob |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T17:04:17Z |
| format | Article |
| id | doaj.art-acc5cabbacb24d93a90be326a048f4a2 |
| institution | Directory Open Access Journal |
| issn | 2567-9430 2567-9449 |
| language | English |
| last_indexed | 2024-03-12T17:04:17Z |
| publishDate | 2023-08-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Journal of Laboratory Medicine |
| spelling | doaj.art-acc5cabbacb24d93a90be326a048f4a22023-08-07T06:56:41ZengDe GruyterJournal of Laboratory Medicine2567-94302567-94492023-08-0147414314810.1515/labmed-2023-0021Digital competence in laboratory medicineAdler Jakob0Lenski Marie1Tolios Alexander2Taie Santiago Fares3Sopic Miron4Rajdl Daniel5Rampul Ashlin6Sancesario Giulia7Biemann Ronald8Medical Laboratory for Clinical Chemistry, Microbiology, Infectious Diseases and Genetics “Prof. Schenk/Dr. Ansorge & Colleagues”, Magdeburg, GermanyCHU Lille, Unité Fonctionnelle de Toxicologie, Lille, FranceDepartment for Blood Group Serology and Transfusion Medicine, Medical University of Vienna, Vienna, AustriaLaboratorio de Bioquímica Clínica, Fares Taie Biotecnología, Mar del Plata, ArgentinaDepartment of Medical Biochemistry, Faculty of Pharmacy, University of Belgrade, Belgrade, SerbiaDepartment of Clinical Biochemistry and Hematology, Medical Faculty in Pilsen, Charles University in Prague and University Hospital in Pilsen, Pilsen, Czech RepublicPathCare laboratories, Umhlanga, South AfricaBiobank – IRCCS Santa Lucia Foundation, European Center for Brain Research, Rome, ItalyClinical Chemistry and Molecular Diagnostics, Institute of Laboratory Medicine, University Hospital Leipzig, Leipzig, GermanyEven 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.https://doi.org/10.1515/labmed-2023-0021artificial intelligencedata sciencedigital competencedigitalizationskills |
| spellingShingle | Adler Jakob Lenski Marie Tolios Alexander Taie Santiago Fares Sopic Miron Rajdl Daniel Rampul Ashlin Sancesario Giulia Biemann Ronald Digital competence in laboratory medicine Journal of Laboratory Medicine artificial intelligence data science digital competence digitalization skills |
| title | Digital competence in laboratory medicine |
| title_full | Digital competence in laboratory medicine |
| title_fullStr | Digital competence in laboratory medicine |
| title_full_unstemmed | Digital competence in laboratory medicine |
| title_short | Digital competence in laboratory medicine |
| title_sort | digital competence in laboratory medicine |
| topic | artificial intelligence data science digital competence digitalization skills |
| url | https://doi.org/10.1515/labmed-2023-0021 |
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