HC 4630 (4 credits)

Healthcare Data Mining, Integration, and Interpretation

This course explores available public healthcare data sets and the data mining process. In addition, this course articulates the value of mapping relationships between data points and workflows. This process determines the level of integration of disparate data sources and is explored through the 4P (patient, provider, payer, population) perspectives. 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. Once the data sources are integrated, the focus becomes how to turn this data to into information, knowledge, and insight. This course wraps up by exploring both business and research options for interpreting data through visualizations and predictive analytics. Prerequisite: HC 4600.

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Sections: Summer Quarter 2018

CRN 1642
Credits
4.00
Day/Time
Delivery
Online/Distance
Location
ONLINE
Instructor

Tuition Rate

Per Credit: $686

Additional Fees
Technology Fee: $4/credit hour for each class taken for credit
Be Ready

Make sure you have the correct textbooks and/or materials.
Join the Classroom

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