Academic medicine is experiencing an exponential increase in knowledge, evidenced by approximately 2.5 million new articles published each year. As a result, staying apprised of practice-changing findings as a busy clinician is nearly impossible. The traditional methods of staying up to date through reading textbooks and journal articles or attending an annual conference are no longer enough. These old approaches do not distribute knowledge equally around the world or inform practitioners adequately of what they need to provide the best patient care. Luckily, digital technology, which contributed to our ability to generate this explosion in research, also holds the solution. We believe the improved filtration and curation of new knowledge will come through the combination of three elements: machine learning, crowd-sourcing, and new digital platforms. Machine learning can be harnessed to identify high-quality research while avoiding unconscious bias towards authors, institutions, or positions, and to create personalized reading lists that encompass essential articles while also addressing personal knowledge gaps. The crowd can also serve to curate the best research through an open-source platform that exposes each step of the research process, from developing questions through discussion of findings, functionally replacing editorial boards with crowd peer-review. Finally, embracing new digital platforms and multimedia delivery formats will move academic medicine into the 21st century, broadening its reach to diverse, international, and multigenerational learners. The digital age will continue to change life as we know it, but we have the power - and the responsibility - to control how it transforms academic medicine. LEVEL OF EVIDENCE: V (Expert).
Keywords: Academic medicine; Artificial intelligence; Transformation.
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The effectiveness of internet-based e-learning on clinician behavior and patient outcomes: a systematic review protocol.JBI Database System Rev Implement Rep. 2015 Jan;13(1):52-64. doi: 10.11124/jbisrir-2015-1919. JBI Database System Rev Implement Rep. 2015. PMID: 26447007
Public health and evidence-informed policy-making: The case of a commonly used herbicide.Scand J Work Environ Health. 2020 Jan 1;46(1):105-109. doi: 10.5271/sjweh.3851. Epub 2019 Sep 5. Scand J Work Environ Health. 2020. PMID: 31486846
Evidence Brief: The Effectiveness Of Mandatory Computer-Based Trainings On Government Ethics, Workplace Harassment, Or Privacy And Information Security-Related Topics.2014 May. In: VA Evidence Synthesis Program Evidence Briefs [Internet]. Washington (DC): Department of Veterans Affairs (US); 2011–. VA Evidence Synthesis Program Evidence Briefs. 2011–. PMID: 27606391 Free Books & Documents. Review.
Abass Alavi: A giant in Nuclear Medicine turns 80 and is still going strong!Hell J Nucl Med. 2018 Jan-Apr;21(1):85-87. doi: 10.1967/s002449910713. Epub 2018 Mar 20. Hell J Nucl Med. 2018. PMID: 29550853
Evidence Brief: The Quality of Care Provided by Advanced Practice Nurses.2014 Sep. In: VA Evidence Synthesis Program Evidence Briefs [Internet]. Washington (DC): Department of Veterans Affairs (US); 2011–. VA Evidence Synthesis Program Evidence Briefs. 2011–. PMID: 27606392 Free Books & Documents. Review.