Applied Clinical Informatics II: Computer Science Fundamentals and Data Analytics; Challenges in Informatics Quality and Safety
In this course students learn database concepts, design, development, implementation, and administration that is specifically targeted towards healthcare environments. Healthcare data integrity, data quality, and data security are emphasized. Management of data structure and content for compliance with standards, regulations (including HIPAA and HITECH), and accrediting agencies are detailed. Students examine strategies and technologies for data storage, controlling access, protecting confidentiality, archiving and backing up, and restoring massive amounts of healthcare data. This course provides students the opportunity to analyze the various types of healthcare data and explore the challenges related to modeling, collecting, using and analyzing each main type of healthcare data. This course explores different strategies for representing data, information and knowledge, including required and emerging standards for coding, nomenclature, and their associated taxonomies and ontologies. It also examines how these standards are used to create tools for mining, analyzing, interpreting and sharing information for a variety of clinical and administrative purposes throughout the healthcare system.