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Vimla L. (Hrsg.) Patel

Cognitive Informatics for Biomedicine

Human Computer Interaction in Healthcare

Buch

This book reports on the current state of human computer interaction (HCI) in biomedicine and healthcare, focusing on the cognitive underpinnings of human interactions with people and technology. Drawing from the current research in HCI, this book addresses key theories, models and evaluation frameworks, and their application in biomedical contexts. Health information technologies have become increasingly vital tools for the practice of clinical medicine. However, numerous challenges remain in order to fully realize their potential as instruments for advancing clinical care and enhancing patient safety. Cognitive Informatics for Biomedicine:… Mehr

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Produktdetails


Weitere Autoren: Kannampallil, Thomas G. (Hrsg.) / Kaufman, David R. (Hrsg.)
  • ISBN: 978-3-319-17271-2
  • EAN: 9783319172712
  • Produktnummer: 17765477
  • Verlag: Springer-Verlag GmbH
  • Sprache: Englisch
  • Erscheinungsjahr: 2015
  • Seitenangabe: 332 S.
  • Masse: H24.5 cm x B16.4 cm x D2.4 cm 802 g
  • Abbildungen: Book; 20 schwarz-weiße und 15 farbige Abbildungen, Bibliographie
  • Gewicht: 802

Über den Autor


Vimla L Patel, PhD, DSc, FRSC, is a Senior Research Scientist and the Director of the Center for Cognitive Studies in Medicine and Public Health at the New York Academy of Medicine. She is an adjunct professor of Biomedical Informatics at Columbia University and of Public Health at Weill Cornell College of Medicine. Her studies focus on complexity of the distributed cognitive system, generation of medical errors, the impact of technology on human cognition, and resulting insights on how to design a safer clinical workplace. She currently teaches a course on human factors and human computer Interaction with Dr Kaufman to graduate students in biomedical informatics and computer science. Thomas G. Kannampallil is a researcher and assistant director at the Center for Cognitive Studies in Medicine and Public Health at the New York Academy of Medicine. With a varied background in computational cognitive science, psychology, statistics and computer science, his research focuses on applying computational, algorithmic and network-based techniques in analyzing the microstructure of human behavior in dynamic, complex environments. These techniques are used to understand and characterize human interactive human behavior, work practices and strategies, and build cognitive support systems that can improve help in making more effective decisions, reducing errors and improving human performance in complex environments. David R. Kaufman, PhD is an Associate Professor at Arizona State University. Dr. Kaufman's primary research interests include 1) human computer interaction in the context of health information technologies, 2) information seeking behavior and decision making in healthcare contexts, especially as it relates to the elderly, digital divide and low literacy populations, and 3) conceptual understanding of biomedical information and decision making by lay people.

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