BookJohn T. Finnell, Brian E. Dixon, editors.
Summary: This study guide is written to support the formal training required to become certified in clinical informatics. The content is structured to define and introduce key concepts with examples drawn from real-world experiences in order to impress upon the reader the core content from the field of clinical informatics. The book is divided into sections that group related chapters based on the major foci of the core content: health care delivery; clinical decision-making; information systems; leadership and managing teams; and professionalism. The chapters do not need to be read or taught in order, although the suggested order is consistent with how the editors have structured their curricula over the years. Clinical Informatics Study Guide: Text and Review serves as a reference for those seeking to independently study for a certifying examination or periodically reference while in practice. It further provides a roadmap for faculty who wish to go deeper in courses designed for physician fellows or graduate students in a variety of clinically oriented informatics disciplines, such as nursing, pharmacy, radiology, and public health.
Contents:
An Introduction to Clinical (Health) Informatics
The U.S. Health System
Clinical Informatics Policy and Regulations
Clinical Decision-Making
Evidence Based Patient Care
Clinical Decision Support
Clinical Workflow Analysis, Process Redesign, and Quality Improvement
Predictive Analytics
Fundamentals of Information Technology Systems
Health Information Systems and Applications
Clinical Data Exchange, System Integration, and Standards
Information System Lifecycles in Health Care
Human Factors Engineering: Supporting the User Experience
Leadership Models, Processes, and Practices
Effective Interdisciplinary Teams
Effective Communication
Project Management
Strategic and Financial Planning for Clinical Information Systems
Change Management
Patient Engagement and Consumer Informatics
Personalized Medicine and Translational Informatics
Population Health and Public Health Informatics
Appendices: Case Studies.