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HC 4630 - Healthcare Data Mining, Integration, and Interpretation

This course explores available public healthcare data sets and dissects how to mine them. A next step is to create value by mapping relationships between data points and workflows. This process determines the level of integration of disparate data sources and is explored through the 4P 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 finally insight. This course wraps up by exploring both business and research options for interpreting data through visualizations and predictive analytics. Prerequisites: HC 4600 for certificate students, OR HC 4600 (or Academic Director approval) for concentration students.


Winter 2018 - Online/Distance (CRN - 4854)

Schedule Information

  • CRN: 4854
  • Instructor: Levine, David
  • 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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