Health Science Fundamentals

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.

The most comprehensive, up-to-date high school health science program.

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.