Project Name

Brief Description of Project

Patient and Equipment Transport Planning using Mathematical Programming Staffing model using mathematical programming that accommodates fluctuations in demand for patient and equipment transports, and balances out staff workload within a two-week planning horizon. The model enables decision-makers to determine the minimum number of transporters needed to accommodate a selected demand level, based on a chosen target efficiency rate (number of transport trips per hour).
Work Assessment for PFA Rollout Assessed administrative staff workload before and after PFA assumed responsibility for scheduling appointments and procedures in Pediatric GI clinic. 
Simulation model for ED patient flow - RME area Analyzing the effects of RME implementation on the system
Antibiotic Resistance Investigation Developing network models and case control models to understand the role providers play in transmission of antibiotic resistance pathogens
Courier Services/Tube Downtime To analyze existing processes in courier services and tube downtime and establish control systems to minimize business costs
Improving ED Patient Flow To provide continuous support for the UVA Emergency Department in terms of optimizing patient flow and resource use, from analysis and design, to execution and control
SIE Capstone: Exploring Graph Theoretic Approaches to Predictive Modeling of Unplanned Hospital Readmissions

This project revolves around data mining of administrative claims and patient encounter data to build predictive models that can be used to help reduce unplanned hospital readmissions. Specifically, students will explore the use of graph theoretic methods to represent a patient’s medical history, which include the sequence and timing of all inpatient and outpatient encounters, associated diagnosis and procedure codes, as well as measurable outcomes. The overall goal is to make sense of these encounters, codes, and outcomes to risk profile a patient for their likelihood of readmission within 30 days after an index admission.

Students will be working with members of the UVAMC population health and analytics team as well as clinical staff in order to have a better understanding of the processes, policies, and human factors that affect - and are affected by - information gathered.

SIE Capstone: A Systems Approach to Improving Patient Flow at UVA Cancer Center Using Real-Time Locating System

The objective of this project is to identify and evaluate strategies that minimize waiting times for cancer patients, their families, and caregivers.

Using the RTLS data, students will analyze patterns of patient flow and estimate impacts of different intervention strategies on patient waiting times and overall system performance.

SIE Capstone: Using Patient-Generated Health Data to Facilitate Pre-Operative Decision Making in Breast Cancer This project will investigate the use of mobile sensing technology to collect objective data about the recovery process for different surgical procedures for more informed decision-making

RTLS provider tracking


This project aims to help implement a real-time locating system (RTLS) in a hospital and analyze the data to improve the workflow of care providers. This data can be also used to understand interactions between care providers and patients.
ED frequent user (Capstone) Developing predictive models for ED frequent users
ED LWBS Developing predictive models for ED LWBS patients
Radiology workflow Analyzing workflow and evaluating impacts of schedule on the system
ITSM Provide Business Case Workflows and Requirements
Operational Improvements in the Infusion Center To improve operational efficiency in the Infusion Center at the ECCC
DHC Operational Improvement To improve operational efficiency in the DHC and the Endoscopy Suite
Single Exam Room Concept Hypothesis Testing/ Control Charting
Language Service Business Consultant
Scheduling Wheel Research the implications of implementing a scheduling wheel model (shorter appointment times/reserved admin time)
Family Medicine Pod 2 Simulation

Develop a Flexsim model for Pod 2 to evaluate team-based care and single-room scheduling

Battle Building Clinic Operations Improvement To identify areas of improvement in clinic flow using a collaborative model for improvement and simulation modeling. To create a “Battle Building Bulletin” for BB clinics that will assist in ongoing monitoring and control of quality and performance
Invasive Cardiology Determine the feasibility of cross functional resources required in the expansion of Inv. Card. Area.
Plastic Surgery, Workflow/Scheduling Analysis of overall process and scheduling
Work Measurement Study, 6th and 4th Floor Complete an analysis of whether the Kanban System on the 6th floor has shown tangible and intangible results for the distribution of supplies
TDABC Phase II (scenario) Hypothesis Testing/ Control Charting
TDABC Phase III (Business Model) Hypothesis Testing/ Control Charting
Ambulatory Optimization Roadmap / Future Work
Provider Panel Size (FM) Updated Provider Panels; 6 Factor Analysis

Rheumatology Clinic Re-Design

Design/Hypothesis Testing/ Control Charting

UVA Department of Systems and Information Engineering

SIEDS 2017 Conference Papers and Posters:

  • Using Patient-Generated Health Data to Facilitate Perioperative Decision Making for Breast Cancer Patients   Paper and Poster
  • A Systems Approach to Improving Patient Flow at UVA Cancer Center Using Real-Time Locating System   Paper  and Poster
  • Multi-task Cox Proportional Hazard Model for Predicting Risk of Unplanned Hospital Readmission  Paper and Poster