Healthcare and Human Safety

Healthcare and Human Safety Program Area

Learn about key topics relevant to health and human safety that affect people’s lives, including the management of expensive resources in health systems, medical decisions, and the design of safe environments for people to live and work. Learn to harness data from electronic health records and use new technologies such as wearable sensors to improve health and safety. The U-M Center for Healthcare Engineering and Patient Safety offers additional opportunities for selected students to work in close partnership with the U-M Health System*.

Key Topics: Healthcare Operations, Workplace Safety, Medical Decision Making,  Systems Modeling and Optimization,  Data Analytics, Statistics and Quality

Area Lead: Mark Van Oyen

*Students interested in healthcare are also encouraged to consider the Center for Healthcare and Patient Safety (CHEPS) concentration. 

Foundation Courses

IOE 413 Optimization Modeling in Healthcare 

Prerequisite: IOE 265 and IOE 310, or equivalent. (3 credits)

Introduction to optimization modeling in healthcare. Linear and integer programming models are developed for problems in health and medicine. Problems considered may include breast cancer diagnosis, radiotherapy treatment planning, fracture fixation planning, and others as selected by the instructor. Emphasis is placed on model formulation, verification, validation, and uncertainty quantification.

IOE 539 (MFG 539) Safety Engineering Methods

Advisory prerequisites: IOE 265 or Biostat 503. (3 credits)

Recognition, evaluation, and control of generic safety hazards (confined spaces, electricity, fire, mechanical energy, etc.) found in contemporary workplaces, using case studies from manufacturing, transportation, and power generation. Students perform an interdisciplinary team project using systems safety engineering methods to redesign a workstation, manufacturing process, or consumer product.

IOE 813 Seminars in Healthcare Systems Engineering

Prerequisites: Graduate standing or permission of instructor. (2 credits)

Healthcare is critical to society and has a major impact on our economy. In this course, focused around weekly seminars by leading scholars in this important area, we provide a broad overview of ways systems engineering can improve the delivery of healthcare: decreasing costs, reducing error, and developing innovations.

IOE 500 IOE Master’s Seminar

Advisory prerequisites: IOE master’s student or permission of instructor. (1 credit)

Seminars presented by academic speakers and industry leaders to describe contemporary applications of industrial and operations engineering models and techniques to master’s students in IOE. The focus is on applications but research challenges are addressed as needed. Many speakers also address potential career opportunities for MS students in IOE.

Suggested courses to further explore the healthcare and human safety program area

Healthcare delivery operations

IOE 419 Service Operations Management

IOE 421 Work Organizations

IOE 425 (MFG 426) Lean Manufacturing and Services

IOE 440 (MFG 440) Operations Analysis and Management

IOE 513 Healthcare Operations Research: Theory and Applications

IOE 541 Optimization Methods in Supply Chain

IOE 543 Scheduling

IOE 545 Stochastic Networks and Operations

IOE 574 Simulation Design and Analysis

Human safety

IOE 434 Human Error and Complex System Failures

IOE 463 (MFG 463) Measurement and Design of Work

IOE 534 (BIOMEDE 534) (MFG 534) Occupational Biomechanics

IOE 539 (MFG 539) Safety Engineering Methods

IOE 837 Interprofessional Perspectives in Occupational Health and Safety

Human systems integration

IOE 430 Global Cultural Systems Engineering

IOE 434 Human Error and Complex System Failures

IOE 491-008** Engineering (UI/UX Design)

IOE 491-011** Quantifying Human Motion Through Wearable Sensors

IOE 536 Cognitive Ergonomics and Human System Integration

Modeling, optimization, and prediction

IOE 410 Advanced Optimization and Computational Methods

IOE 510 Linear Programming

IOE 515 Stochastic Processes

IOE 516 Stochastic Processes II

IOE 591 Introduction to Data Analytics

IOE 512 Dynamic Programming

IOE 517 Game Theory and Operations Applications

IOE 618 Stochastic Optimization

EECS 545 Machine Learning (CSE)

EECS 553 Machine Learning (ECE)

EECS 505 Computational Data Science and Machine Learning

EECS 556 Image Processing

Quality, statistics, and data analytics

IOE 465 Design of Experiments

IOE 466 Statistical Quality Control

IOE 491 Applied Data Analytics

IOE 551 Benchmarking, Productivity Analysis, and Performance

IOE 561 Risk Analysis I

IOE 565 Time Series Analysis

IOE 568 Statistical Learning and Applications in Quality Engineering

IOE 570 (Stats 570) Experimental Design

IOE 591 Introduction to Data Analytics

IOE 565 Time Series Modeling, Analysis, Forecasting

IOE 691 Modern Bayesian Data

STATS 500 Statistical Learning I: Regression

STATS 503: Statistical Learning II: Multivariate Analysis