HC 4620 - Healthcare Methods and Programming
This course presents the basic study designs of epidemiology and illustrates the field’s benefit to the healthcare industry. Randomized control trials (RCT) through correlation studies are explained through case studies as well as practical applications. Informatics tools - such as machine learning, clinical decision support, and natural language processing (NLP) - are categorized with respect to their relative positions in the 4P perspective framework. This framework is generated from the natural flow of healthcare delivery starting with the patient, moving to the provider, progressing on to the payer, and evolving into population health. This course concludes with the many benefits of auditing as a check and balance for healthcare methods and programming. Prerequisites: HC 4600 for certificate students, OR HC 4600 (or Academic Director approval) for concentration students.
NOTE: This course is not offered this term. Please refer to the annual schedule for Healthcare Leadership to see the next time this course is offered.