• Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
  • Domain: Insurance
  • Keywords: Data Manipulation
  • Tools: Machine Learning, Python, Snowflake, SQL
  • Citizenship: Open to all students
Summary

Some high-cost healthcare services require pre-authorization to ensure members are receiving appropriate, medically necessary care. Pre-authorization data patterns can provide early insight into healthcare patterns before paid claims data is available.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'Elevance' in the Note section, and select the appropriate CRN.