About the book
The wide adoption of large and complex electronic health record (EHR) systems by healthcare institutions and the vast amount of publicly available medical information through the Internet have significantly increased public expectations for higher quality healthcare. The related overwhelming flow of information from a variety of sources can cause distraction and less efficient care. Fortunately, recent advances in science and technology, larger and faster computing platforms, and more attention to social aspects of computing can help alleviate this situation. This book aims at addressing such issues through state-of-the-art scientific and practical solutions and future research pathways on the general topic of intelligent and effective clinical decision support systems (CDSS). Discussions will target one or more of enhancing the quality of healthcare services by clinicians (i.e., diagnosis, treatment, prognosis), improving the economic aspects of healthcare (e.g., reducing hospital readmissions), and enhancing related educational aspects.
Topics of interest will cover different aspects of CDSS including: organizational considerations; devices; security & privacy; machine learning; artificial intelligence; ontologies and knowledge representation; big data analytics; and advanced human computer interactions (AR & VR). Each chapter will include a relevant literature review, the proposed approach, and its constraints and limitations.