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.
Dr. Finnell’s research activities focus on building emergency department systems for tracking visit data. I developed the emergency department’s first tracking system ten years ago, and am currently building the first integrated system with tracking, order entry, and documentation. My research activities have focused upon emergency patient’s utilization of emergency departments. My most recent project has incorporated INSPECT data (Indiana’s PMDP) into the electronic record. As Informatician, my role is to integrate the data warehouse with the clinical ED experience. Pulling the necessary data when the patient registers into the emergency department and providing the alerts/reminders to providers in a timely fashion. Dr. Dixon’s research focuses on developing and evaluating innovative technologies and processes for managing knowledge regarding individual patients and populations. His recent work has involved leveraging health information exchange (HIE) to enable secondary use of clinical and administrative data for improving public health surveillance, continuity of care for Veterans, the determination of disability, and clinical decision support. Before joining the faculty at Indiana University, Dr. Dixon managed research and development projects for Regenstrief and the Indiana Health Information Exchange. Dr. Dixon also developed health information applications and systems, including tools supporting the standard clinical vocabulary LOINC®, technology supporting the automated reporting of notifiable conditions to public health agencies, and tools for querying large clinical data repositories.
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.