Data Science and Health Informatics Research Assistant

Faculty Mentor: Victoria Tiase

Title: Assistant Professor

College: Medicine

School / Department: School of Medicine, Department of Biomedical Informatics

Project description

Analysis of EHR Audit Log data

The goal of this work is to conduct a retrospective exploratory analysis of EHR audit log data to characterize data structures and perform a data quality assessment that will be used to inform a data representation for nursing activities. The main tasks are to examine EHR audit log data structures and identify variables related to nursing task and activity features. It will include pre-processing the EHR audit logs by cleaning and preparing the data for analysis. It may also involve filtering out irrelevant events, handling missing or incomplete data, and converting timestamps to a standardized format. We will examine data quality and reproducibility.

Keywords: informatics, EHR, data science, database management, programming, machine learning

Affiliations: Digital Health Initiative

Student Role: The main tasks of this opportunity are: 1) Attend lab meetings every other week, 2) Manage database, and 3) Perform data analyses as requested.

Student Benefits: Skills to be gained include understanding the data structures of EHR audit logs and participation in interdisciplinary team science for applied informatics solutions. Data analyses will be used for future publications allowing students opportunities for authorship.

Project Duration: 10 hours per week.

Opportunity Type: Research Assistant

Opportunity Location Type: Hybrid

Is this a paid opportunity: ToBeDetermined

Paid Description:

Volunteer, This is a paid research position, This is a work-study research position, Prepare a UROP proposal, Write an Honors Thesis or Senior Thesis, Earn independent study credit.

Minimum Requirements: The opportunity requires the following computer programming skills at a minimum: 1) C shell and use of vi editor in LINUX, 2) moderate Python proficiency, and 3) basic database management skills.

How To Apply: Contact Victoria Tiase, victoria.tiase@utah.edu