Data Processor

Faculty Name:
Molly Leecaster

Internal Medicine

Faculty College:


Project Description:

The goal is to characterize healthcare provider (HCP) interactions and behaviors that influence disease transmission. We will use two methods to characterize contact networks of healthcare providers (HCP) and Veterans. One method will be to use using wireless sensors worn by HCPs and placed in patient rooms. These sensors are wireless ranging-enabled nodes, or WRENs. We will also use the WRENs to assess hand hygiene (HH). We will compare WREN HH data to observation. We will link wireless sensor HH data to survey data.

Opportunity Type:

Volunteer; Prepare a UROP proposal; Write an Honors Thesis; Earn independent study credit; This is a paid research position

Student Role:

Process data files using R statistical software. The student will work with investigators and staff to develop and use programs to process data from multiple deployments.

Student Benefits:

Improve programming skills, learn new computer, programming, and data analysis skills. Work with real (messy) data, learn about the research process, collaborate with a team.

Project Duration:

2 years. 5-8 hours per week.

Minimum Requirements:

1) used R and 2) taken a data analysis, statistics, or programming class.