Spring 2024
CHIP 490-311: Systems Analysis in Healthcare (Sharmin); 3 credits in-person
CHIP 490-320 (online equivalent)
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 490-297 Database Systems in Healthcare (Tweedy) 3 credits - remote
Wednesdays only 5:45pm - 8:30pm
INLS 523 CHIP Equivalent - General Informatics Core Required Course
Students will learn about the Fast Health Interoperability Resources standard and how to develop freestanding and embedded applications that leverage it to work with APIs and demo EHR environments using languages like JavaScript and Python.
CHIP 490-261: US Healthcare System: An Overview (Potenziani) 3 credits - remote
Thursdays 5:45PM - 8:45PM
CHIP equivalent to HPM 754.
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).
CHIP 690-295: Foundations of Clinical Data Science (3 credits, in-person)
Emily Pfaff and Ashok Krishnamurthy
TuTh 2:00PM - 3:15PM
With the advent of Electronic Health Records (EHR) there are more opportunities than ever to make a real impact on patient health and the science of medicine using data. However, clinical data has unique characteristics and structures that can make it both challenging and rewarding to use in analytics. In this course, students will gain understanding of clinical data collection, models, context, and caveats through lectures and hands-on activities. Students will then apply that knowledge to real clinical data and use Python and other tools to perform analyses and replicate findings from literature.
CHIP 490-312 Health App Development + FHIR 1.5 credits (remote)
Jon Tweedy
Tuesdays 5:00PM – 7:00PM
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 490-310 Data Analytics in Healthcare - (Payal Mehndiratta) (2nd half of semester: Will start on October 6th) 1.5 credits - remote
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 400-001: Digital Health Innovations & Impact (Henion); 1.5 credits
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 490-307: Human Factors in Healthcare (Prithima Mosaly) 3 credits - remote-asynchronous
Wednesdays 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 490-309: Quality Improvement Data Visualization in Healthcare (Shaghayegh Rezaei- Arangdad) 3 credits; in-person
Monday 11AM - 1:45PM
General Elective or Clinical Informatics Elective
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 490-314 - Quality Improvement and Lean Six Sigma (Shaghayegh Rezaei- Arangdad) 3 credits (remote)
Tuesdays only 2:00PM – 4:45PM
Statistical Engineering and a systematic approach to problem solving Lean Six Sigma philosophy (DMAIC) for improving healthcare and business processes using advanced graphical and statistical models. Defining the improvement opportunity, measurement system analysis, data collection, statistical analysis, design of experiment (DOE) methods, and statistical process control (SPC) methods. Applications of statistical engineering to healthcare case studies.
*Can also count as general informatics elective or business skills elective