HC 4620 (4 credits)

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 application. 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 (patient, provider, payer, population) 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. Prerequisite: HC 4600.

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Sections: Autumn Quarter 2018

CRN 5334

Tuition Rate

Per Credit: $686

Additional Fees
Technology Fee: $4/credit hour for each class taken for credit
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Please check Canvas one week before class begins for any pre-class assignments.