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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 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.


Spring 2018 - Online/Distance (CRN - 4849)

Schedule Information

  • CRN: 4849
  • Instructor: Fisher, Rachel
  • Credits: 4
  • Date/Time:
  • Delivery: Online/Distance
  • Location: ONLINE

Textbooks and/or materials information for your course may be found at: ttp://

Please check Canvas one week before class begins for any pre-class assignments;

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