The purpose of this edited volume is to present current research that lies at the intersection of healthcare communication, global migration, and the rapidly expanding technologies used for language testing. The global COVID-19 pandemic accelerated at a dizzying pace tectonic shifts already well under way: English as the language of international healthcare collaboration; the trans-global flow of healthcare professionals across international borders; the scramble to remote and online delivery of healthcare education and skills assessment; and the largely unquestioned application of artificial intelligence technologies such as neural networks and deep learning to assessing language proficiency in general, and medical language in particular. Fueled by the uncertainty of a pandemic, these rapid developments, with far-reaching implications, have taken place largely unchallenged. With large-scale vaccination promising the beginning of the end to the upheaval wrought by COVID-19, contributors to this volume take a reflective and critical stance on the intersection of healthcare communication and technology for testing of medical language proficiency.
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