The course has been developed to allow imagers to gain the skills necessary to analyze Biomedical Big Data and perform comparative effectiveness research to demonstrate the impact and value of imaging.
The course uses an innovative hybrid on-line and in-person method of learning. There are three individual courses that will each consist of two-day interactive in-person sessions, followed by approximately 16-20 hours of on-line didactics.
The topics of the three courses are as follows:
1. Decision Analysis and Cost Effectiveness Analysis
This program will begin in September 2018. Each course will take place in an 8-10 week time period so that the complete curriculum of all three courses will be completed in approximately a 10 month period. All three in-person sessions will take place at NYU Langone Medical Center. Faculty for the courses will be national experts in both comparative effectiveness and big data analytics.
Tuition for the program will be $2,500 for the 1 year hybrid on-line and in person didactive sessions. Spaces are limited to maximize the learning experience for attendees. This program is supported by a R25 NIH grant from NIBIB and a strategic alignment grant from the AUR.