For introduction to health professions courses Setting the standard for today's health science student Health Science Fundamentals: Exploring Career Pathways provides students with the skills they need to become competent and productive health care workers throughout their careers, with a strong emphasis on employability skills such as teamwork, effective communication, and ethics. All-new photos, a new layout, and hands-on activities keep students engaged and involved in the material. To prepare readers for the job market today, the careers chapter is realigned to meet the Common Career Technical Core pathways and the Math, Science, and Language Arts Links are correlated to curriculum standards. Health Science Fundamentals is divided into two parts to foster career skills. The first part, Becoming a Health Care Worker, includes basic information all health care workers must have to attain success in any health care field. The second part, Health Care Knowledge and Skills, covers the technical concepts and clinical skills students need to gain employability in a variety of entry-level occupations.

NOW PUBLISHED BY PLURAL! Hearing Science Fundamentals, Second Edition maintains the straightforward style of the previous edition, introducing the basic concepts in hearing science in an easy-to-understand format. With a wide variety of student-friendly features and instructor resources, this comprehensive textbook facilitates the absorption of technical material by both undergraduate and graduate students. The text is divided into four clear sections to cover everything from the physics of sound to the anatomy and physiology of the auditory pathway and beyond. The textbook begins by delving into the basics of acoustics and digital signal processing (DSP). In the next section, readers will find full coverage of the basic anatomy and physiology of the auditory mechanism. The third section contains eight chapters on psychoacoustics and how sound is perceived via the auditory pathways. The book wraps up with a brand-new section devoted to pathologies of the auditory mechanisms. New to the Second Edition: * New coauthor, Jeremy J. Donai, AuD, PhD, brings his extensive clinical and research experience to the concepts discussed * Nine new chapters, including: Review of Speech Acoustics (Chapter 2); Digital Signal Processing (Chapter 3); Binaural Processing (Chapter 8); Temporal Processing (Chapter 10); Signal Detection Theory (Chapter 13); Auditory Perception and Hearing Impairment (Chapter 14); Separate and expanded chapters for Pathologies of the Auditory Mechanism (Chapter 9) from first edition; Pathologies of the Conductive Auditory Mechanism (Chapter 15); Pathologies of the Sensory Auditory Mechanism (Chapter 16); Pathologies of the Central Auditory Mechanism (Chapter 17) * Clinical Notes and Vocabulary Checks features have been added through the textEvidence-based information incorporated throughout the text * Updated Recommended Readings list * Audio examples and overview lecture videos for students Key Features: * Learning Objectives and Key Terms at the beginning of each chapter prepare the student for the chapter contents * Two-color anatomical and line illustrations aid understanding of important technical concepts * Q & A boxes reinforce important information presented in the text * A Glossary of important terms Disclaimer: Please note that ancillary content (such as documents, quizzes, and exercises) may not be included as published in the original print version of this book.

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.