Summer I 2023

CHIP 490-154: Methods in Biomedical and Health Informatics (3 credits) remote 
General Elective or Clinical Informatics Elective
What diseases tend to occur more frequently in neighborhoods near chemical plants? How can an oncologist view and understand the long-term progression of cancer in one of her patients? Methods in Medical Informatics will introduce students to a broad range of informatics and data analytics methods used to answer these kinds of questions. The course will focus on building students’ practical skills for processing and analyzing both structured and unstructured clinical data by taking them through the implementation of specific data processing and statistical methods to understand trends in individual and population health. By taking this course, students will become aware of the range of tools in a medical informatician’s toolbox and learn which ones to use to answer their own clinical or population health research questions. This course is appropriate for early-stage graduate students or advanced undergraduates in the health sciences or information science. No prior programming experience is assumed, but many course activities require students to interpret the purpose of lines of code and run pre-written code segments to analyze data.

CHIP 490-294: Human Factors Engineering for Healthcare Systems (3 credits) remote-synchronous 
Time: M/T/TH 3:15PM - 5:50PM
General Elective or Clinical Informatics Elective
Introduction to human performance and limitations in the design of effective and efficient healthcare systems, an area where it is vital to limit mistakes because human error can affect patient safety. This course is a broad survey of human factors engineering theory and methods to the analysis and improvement of healthcare delivery systems. Applied projects and case studies are used to identify the human role in accidents and to identify design improvements.


Summer II 2023

CHIP 490-294: Introduction to Statistical Analysis in Healthcare (3 credits) remote-synchronous 
Time: M/T/TH 3:15PM - 5:50PM
General Informatics or Clinical Informatics Elective 

An introductory course in statistics intended for students interested in healthcare research. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world. This course prepares students to (a) better comprehend results presented in journal articles and research reports and (b) conduct statistical analyses for methodology courses as well as independent research (e.g., theses). This course covers the analysis of data from experimental and nonexperimental research in healthcare and allied fields, emphasizing the application and logical nature of statistical reasoning. 


Fall 2023

CHIP 490-321 Intro to JavaScript – 1.5 credits (remote)
Tuesdays 5:00pm – 6:15pm
General Elective

This class will introduce students to basic programming concepts using JavaScript, a client-side language that runs in browsers to facilitate user interaction and dynamic real-time updates. A crucial component of the modern web design and workflow, it can be used to enhance user experience on a website, display vivid and complex visualizations like charts and maps, and communicate with servers in the background while navigating a website. This course will start with basics like variables, functions, classes, loops, conditionals, and Ajax. It will then will proceed to work with tools like charting and mapping libraries, as well as jQuery, React, Vue and/or other popular frameworks.


CHIP 490-309: Quality Improvement Data Visualization in Healthcare (Shaghayegh Rezaei- Arangdad) 3 credits; in-person
Mondays only 10:10AM – 12:55PM

General Elective or Clinical Informatics Elective

Course Description:  
You will learn the basic concepts of quality improvement with special emphasis on healthcare applications. In this course we will use many examples from the Institute for Healthcare Improvement, leading hospitals, and other healthcare organizations. 
This course will cover many other current leading quality management practices including continuous quality improvement, Lean, and Six Sigma. 
You will get hands-on experience using some data visualization tools with the focus on Tableau software. You will get an understanding of Tableau's fundamental concepts and features: how to connect to data sources, use Tableau’s drag-and-drop interface, and create compelling visualizations. 


CHIP 400-001: Digital Health Innovations & Impact (Henion); 1.5 credits remote
Thursdays only 12:30PM - 1:45PM

Business Skills Elective

In this course, students will be introduced to patient engagement, population health, digital therapies, and numerous other areas within digital health; learn about interoperability standards driving data sharing and interconnectivity across the health care industry; review the regulatory bodies defining standards of care, along with understanding the privacy and security laws governing the use of health care data. The course includes a project prototyping and pitching a digital health solution. We will also hear from industry experts who will participate as guest lecturers with opportunities for students to ask questions.


CHIP 490-311: Systems Analysis in Healthcare (Sharmin); 3 credits - IN-PERSON *RESIDENTIAL STUDENTS ONLY
Thursdays, 9:30am - 12:15pm

INLS 582 CHIP Equivalent - General Informatics Core Required Course

Introduction to the systems approach to the design and development of health information systems. understanding systems analysis in healthcare. Methods and techniques for the analysis and modelling of system functionality (e.g., structured analysis) and data represented in the system (e.g., object-oriented analysis) are studied.


CHIP 490-320: Systems Analysis in Healthcare (Sharmin); 3 credits - REMOTE *ONLINE STUDENTS ONLY

Wednesdays 5:45PM – 8:30PM

INLS 582 CHIP Equivalent - General Informatics Core Required Course

Introduction to the systems approach to the design and development of health information systems. understanding systems analysis in healthcare. Methods and techniques for the analysis and modelling of system functionality (e.g., structured analysis) and data represented in the system (e.g., object-oriented analysis) are studied.


CHIP 490-310 Data Analytics in Healthcare -  (Payal Mehndiratta) 1.5 credits - remote synchronous
Thursdays only 6:30pm – 7:45pm

General Informatics Elective or Clinical Informatics Elective

This course will provide an overview of Data Analysis and reporting, via BigQuery. The course will review several use cases in healthcare. The course is project-oriented and will require students to understand the requirements before analyzing the data for designing and integrating data from multiple sources or reporting purposes.  The course will also focus on some test case scenarios based on the requirements when a new dataset is created. While no specific courses are considered pre-requisites, students should have an understanding of SQL. Prior experience in excel and SQL is strongly recommended.


CHIP 490-297 Database Systems in Healthcare (Tweedy) 3 credits - remote
Mondays only 5:45pm - 8:30pm

INLS 523 CHIP Equivalent - General Informatics Core Required Course

Students will learn to design relational database schemas, build Entity Relationship Diagrams (ERDs). We will also look at some of the key aspects of schema normalization in order to avoid repetition and empty space. Students will learn the basics of CRUD (Create, Read, Update, Delete) operations in SQL and how to write reasonably complex queries using joining, grouping, unions, and some conditional operations. We will work with MySQL using MySQL Workbench.


CHIP 490-207: Human Factors in Healthcare (Prithima Mosaly) 3 credits - remote
Wednesdays only 5:45pm - 8:30pm 

General Informatics Core Elective

Healthcare system performance is impacted by human capabilities and limitations and the affordance and constraints presented by system technology (hardware and software). As healthcare delivery processes and technologies become increasingly complex, human factors engineering has proven a powerful approach for proactively reducing harm.

Human Factors Engineering incorporates knowledge of human capabilities and limitations into systems to make them more efficient, effective, and safe. Understanding the role of healthcare workers [clinical and non-clinical], patients, and their families/care providers and their needs in the complex socio-technical healthcare system is vital for achieving a well-balanced human-system integration. Understanding their everyday performance variability and adaptation behaviors to respond to varying conditions helps identify the reason when things go right (Safety-II) versus when a rare safety event happens (Safety-I).

Human Factors in healthcare course focuses on the use of human factors engineering methods to identify and mitigate system problems that cause human errors and patient safety hazards in healthcare. Basic principles and a variety of human factors tools are discussed and demonstrated through hands-on exercises and examples.


CHIP 490-261: US Healthcare System: An Overview (Potenziani) 3 credits -  remote
Tuesdays 5:45PM - 8:45PM

CHIP equivalent to HPM 754. Students in the online MPS program are required to take this course. 

Health care is one of the most complicated and demanding activities in human history. It is meant to support life and health from before birth to our last breath. It involves all factors of human existence from the environment to the society within which we live to our bodies and their very biological essence--our DNA. How we organize it and provide it matters significantly for us as individuals as well as for our society. The course will look at the structures of the health care system, then their functioning. The latter will emphasize inputs (institutions, people, funding, resources) and outcomes (morbidity and mortality, life expectancy, efficiency).