This book is the first to approach healthcare informatics from the
perspective of innovation. Drawing on the unique pairing of
information and innovation, it offers an analysis to help readers
rethink information technology, knowledge management,
interprofessional collaboration and the generation of wisdom in the
context of healthcare.The concept of "translational" research stems
from the medical and health sciences, and features bidirectional
and recursive information-generation processes involving
bed-to-bench and bench-to-bed approaches. Based partly on this,
translational systems science has become a new trend within systems
sciences, motivated by the need for practical applications that
help people by offering holistic systems solutions for complex
ideas. Today, numerous innovations are emerging in diversified
clinical practices, and there has been a remarkable convergence of
new technologies in disciplines like genome therapy, immunotherapy,
iPS cells, imaging diagnosis, personalized medicine, molecular
targeted drugs, surgical robots, and remote nursing. Innovation is
also occurring in health management fields, including health
records, insurance reimbursement methods, quality control, and
safety. In these areas, big data and machine learning are
accelerating innovation. Behind these innovations are the creation,
sharing, bridging, and translation of data, information, knowledge,
and wisdom, and as such health informatics is critical in promoting
health innovations.The book explores the horizons of health
informatics, introducing cutting-edge practical cases and
theoretical frameworks, including but not limited to fields such as
big data, machine learning, drug discovery, interprofessional
collaboration, electronic health records, robotics, telenursing,
quality improvement, and safety.
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