Spring 2015 Courses
Advanced Healthcare Quality Improvement
Instructors: William Padula
Time: Wednesdays 5:00 - 6:30 PM
This course will provide advanced content in Quality Improvement and Patient Safety for university faculty, hospital leadership and staff, and graduate students at the University of Chicago and University of Chicago Medicine. Participants will be provided with an overview of concepts in quality improvement, and spend the remainder of the quarter learning advanced skills and gaining knowledge necessary analyze improved healthcare quality. Important literature in the area of quality improvement and patient safety will be covered. The course will emphasize methods important to measuring improvement, based in statistics and operations research. Health policy and regulatory context for QI will also be covered. Students will be expected to innovate or participate in a quality improvement project based in the hospital or community as a way of applying advanced concepts in quality improvement.
Preferred background in introduction to quality and improvement. Please note that this course is limited and you must apply for the course to be eligible. Staff will notify you prior to class if you are able to enroll. APPLY HERE!
Topics in Clinical Research
Instructor: Valerie Press
Mondays, Wednesdays 1:30 - 2:50 PM
Location: Mondays: BH-W229, Wednesdays: BH-W632
This course provides an overview of clinical research subject matter from the history and ethics of clinical research to the types and practice of contemporary clinical research. How does clinical research differ from other research traditions? What is special about clinical research? What types of questions can be answered by clinical research (what questions not)? What types of ethical oversight over the responsible conduct of research have arisen over the years? We will learn how to read and critique clinical research, survey the major types of clinical research designs, and the differences between hypothesis generation and hypothesis testing. Finally, we provide an overview of the mechanics of developing and implementing clinical research, including grant writing, regulatory issues, and quality assurance. Along the way, we will be teaching core statistical concepts including prevalence, risk ratios, and sensitivity and validation techniques. The objectives are for students to obtain an understanding of how and why to perform clinical research and to do so in an ethical and responsible manner.
Completed Social Science Core. Cross list: BIOS 29327.
Infectious Disease Epidemiology; Networks & Modeling
Instructors: Michael David, John Schneider
Time: Mondays, Fridays 3:00 - 4:20 PM
PBHS 30700 or PBHS 30900 or introductory epidemiology or consent of instructor. Cross list: PBHS 31300, BIOS 25419, MEDC 31300.
Health Economics and Public Policy
Instructor: David Meltzer
Time: Tuesdays, Thursdays 1:30 - 2:50 PM
Location: 1155, Public Policy 140 C
Undergraduates with at least Econ 200 with a grade of B or above and one undergraduate course in quantitative research methods (statistics, econometrics, or the equivalent), and consent of instructor. Cross list: PPHA 38300.
Pharmacogenomics: Discovery and Implementation
Instructor: Stephanie Huang, Barbara Stranger
Time: Mondays, Wednesdays 10:30 - 11:50 AM
Pharmacogenomics is aimed at advancing our knowledge of the genetic basis for variable drug response. Advances in genetic knowledge gained through sequencing have been applied to drug response, and identifying heritable genetic variants that predict response and toxicity is an area of great interest to researchers. The ultimate goal is to identify clinically significant variations to predict the right choice and dose of medications for individuals--"personalizing medicine." The study of pharmacogenomics is complicated by the fact that response and toxicity are multigenic traits and are often confounded by nongenetic factors (e.g., age, co-morbidities, drug-drug interactions, environment, diet). Using knowledge of an individual's DNA sequence as an integral determinant of drug therapy has not yet become standard clinical practice; however, several genetics-guided recommendations for physicians have been developed and are highlighted. The ethics and economics of pharmacogenomics are also discussed.
BIOS 20187 & consent of instructor (2nd - 3rd year undergraduates only). Course meets requirements for Biological Sciences Major as part of the Cancer Specialization. Cross list: CABI 47510, BIOS 25310.
Advanced Community Based Participatory Research (CBPR)
Instructors: Deborah Burnet, Dorianne Miller
The Advanced CBPR Training Program is designed to help meet the growing need and demand for educational resources that help build the knowledge and skills needed to develop and sustain effective CBPR partnerships.
Winter 2015 Courses
Cancer Bio-2: Mol Mech Cancer Biology
Instructor: Kay MacLeod
Mondays, Wednesdays, Fridays 10:30 – 12:20pm
This course provides students with an in-depth understanding of how key cellular processes are deregulated in cancer and the molecular mechanisms underpinning these defects. The course covers cell cycle checkpoint control, cell death, tumor suppressor and oncogene function, DNA repair mechanisms, epigenetics of cancer, nuclear hormone receptor activity in cancer, tumor metabolism, hypoxia responses, angiogenesis and metastasis. In addition to material covered in formal lectures, discussion sessions cover tumor stem cells, "oncogene addiction," inflammatory responses, cancer therapeutics, mouse models of human cancer and other topical subjects relevant to understanding tumor initiation and progression, as well as how current research may facilitate cancer treatment.
Signal Transduction and Disease
Instructors: Nicholai Dulin
Time: Mondays, Wednesdays 3:00 - 4:20 PM
Topics include receptor ligands, membrane receptor tyrosine kinases and phosphatases, G proteins, proto-oncogenes, signaling pathways, cytoplasmic protein kinases and phosphatases, transcription factors, receptor-nucleus signaling, development and cancer, genetic dissection of signaling pathways, cell growth and cell proliferation, interplay of cell cycle regulators, cell cycle progression and apoptosis, and sensing of hypoxia and mechanical stimuli. The role of signaling in disease is a theme throughout the course.
Introduction to Clinical Research Informatics
Instructors: Samuel Volchenboum, David McClintock, Cheng-Kai Kao, Jeremy Segal
Time: Thursdays, 3:30 – 5:00 PM
Informatics is the science of information, studying how "data" is acquired, structured, stored, processed, retrieved, analyzed, and ultimately communicated in order to become actionable "information." Given the extraordinary growth in the quantity, source, variety and availability of health data, clinical informatics (a.k.a. healthcare informatics, biomedical informatics, medical informatics, etc.) has become a fundamental skill that should be familiar to every profession within healthcare.
This course provides an introduction to clinical and research informatics, describing the fundamental concepts, vocabularies, techniques and trends needed for one to participate in healthcare discussions and research. This course addresses areas foundational to clinical and research data development, clinical decision support, mobile applications of healthcare information, and the human computer interactions that have become necessary in today's healthcare environment.
We will focus on the patient, health care provider, and the health care delivery institutions, framing each theme with the overarching clinical and research use cases applied to that topic. In addition to the foundational concepts of informatics, this course will also address sources and forms of clinical and provider data, system integration, analytics and educational applications and new and emerging uses of technology.
The course is an introductory survey of fundamentals of information technology as applied to health care.
Topics in Global Health
Instructors: Christopher Olopade
Time: Mondays, Wednesdays, Fridays, 1:30 – 2:20 PM
This course is designed to address specific medical issues of global significance including maternal and child health, communicable and non-communicable diseases, health systems, globalization, and emerging diseases, as well as the impact of population growth, migration, environmental crisis, and humanitarian disasters on health. Discussions on the approach to developing successful global health research and career opportunities in global health will also be covered. Graduate-level students and 3rd-4th year undergraduates with an interest in global health and working in resource-limited settings to bring creative and innovative solutions to health problems are welcome. These sessions will not be didactic, but rather will be driven by Socratic questioning and debate.
This course does not meet requirements for Biological Science major.
Advanced Community Based Participatory Research (CBPR) Training Program 2
Instructors: Deborah Burnet, Dorianne Miller
The Advanced CBPR Training Program is designed to help meet the growing need and demand for educational resources that help build the knowledge and skills needed to develop and sustain effective CBPR partnerships. The Program consists of six sessions that are offered on various Fridays throughout the year. Lunch will be provided at each session.
Students must register for three course sequence in order to receive course credit; CCTS 47001 and CCTS 47002 in the winter quarter as well as for CCTS 47003 in the spring quarter.
Fall 2014 Courses
Advanced Clinical Pharmacology I
Instructor: Michael Maitland, Navin Pinto, and Manish Sharma
Tuesdays 3:30 – 4:50pm
This course provides an interactive introduction to fundamental principles of the practice of clinical pharmacology relevant to drug development and personalized therapeutics. Topics include: pharmacokinetics, drug metabolism, protein binding, absorption and renal and hepatic elimination, pharmacodynamics, introduction to modeling methods, evaluation of adverse events, and pre-clinical and clinical elements of drug development. The course combines directed readings, guest lectures, and problem sets.
Fundamentals of Quality Improvement and Patient Safety
Instructors: Andy Davis and Laura Botwinick
Time: Tuesdays, 5:00 - 6:30 PM
Location: Billings H300
Quality Improvement & Patient Safety was designed for faculty and staff at University of Chicago Medicine with the support of the Center for Clinical and Translational Science (CCTS). The course provides an overview of concepts and methodologies for improving the quality and safety of care. Participants will design quality improvement projects using skills learned in class. In addition, UCMC leaders will speak on key topics throughout the course.
- Participants will become familiar with tools for improving quality of care and service delivery, such as the Model for Improvement and Lean Performance Improvement.
- Participants will design an actual quality improvement project and complete a personal improvement project using skills learned in the class.
- Participants will understand the factors impacting the delivery of safe and high quality care in health care organizations such as teamwork, good communication and organization culture.
- Participants will understand “Systems Thinking” and other key concepts in patient safety such as Human Factors and Reliability.
- Participants will understand the key role of QI in today’s health care environment as a mechanism for improving organizational effectiveness and the patient experience.
This course begins October 14, 2014 and is comprised of 6 classes over 7 weeks. To receive 025 in course credit, you must register at classes.uchicago.edu.
The course is part of a series of courses (others to be designed) leading to a Certificate in QI & PS. Participation in all 6 sessions qualifies attendees to be eligible for the certificate once the other courses are available.
Bioinformatics analysis of high-throughput genomics data
Instructors: Sam Volchenboum, Jorge Andrade, Riyue Bao, Kyle Hernandez, Lei Huang, Sabah Kadri, and Kang Wenjun
Schedule: December 3 – 6, 2014. The course will be held from 9am – 5pm on 12/3, 12/4, and 12/5. The course will be held from 9am – 3pm on 12/6.
Biomedical researches all around the world are starting to exploit the power of high-throughput genomics technologies to address an increasingly diverse range of biological problems. The primary bottleneck in using big genomics data including Next Generation Sequencing (NGS), is the bioinformatics; high-throughput genomics data analysis is not trivial and requires access to dedicated High Performing Computing (HPC) infrastructures, to address the CPU intensive and memory demanding analysis tasks. The focus of this course is training researchers on the use of computational technologies and the latest bioinformatics analysis tools, requiered to deal with big genomics data. This training will cover a complete range of technologies and applications from the basics of computational thinking to the large-scale data analysis on Linux and HPC infrastructures. Topics include microarray data analysis using R, the implementation of open source based NGS analysis workflows for RNA-seq data, genomics visualization tools (e.g., IGV, UCSC, circos, etc.) and tools that can perform the most common everyday tasks for bioinformaticians of “omics” data. The course will cover in-depth practical theory and hands-on training.
Students will need to submit their CV and be approved by the instructors to enroll in this course. Undergraduates must enroll in the 27000 section, while graduate students must enroll in 47000.
Advanced Community-Based Participatory Research (CBPR) Training Program 1
Instructors: Deborah Burnett and Doriane Miller
The goal of health-related research is to improve the lives of people in the community studied. In traditional research, the community is not actively involved in designing the projects. Community-based participatory research is a partnership approach to research that equitably involves community members, organizational representatives, and academic researchers in all aspects of the research process. The Advanced CBPR Training Program is designed to help meet the growing need and demand for educational resources that help build the knowledge and skills needed to develop and sustain effective CBPR partnerships. The Program consists of six sessions that are offered on various Fridays throughout the year.
Students who wish to take this course for academic credit must register through the university registrar's office. Those who do not wish to receive academic credit may register through the online form found here.
Registrants who wish to receive 025 units of course credit must register for CCTS 47001 in the fall quarter, CCTS 47002 in the winter quarter, and CCTS 47003 in the spring quarter.
Methods in Health and Biomedical Informatics
Instructors: Sam Volchenboum and David McClintock
Thursdays 2:00 - 4:00 pm
Most Health and Biomedical Informatics (HBMI) Graduate Programs around the country have independently come to the conclusion that the computational methods that informatics graduate students need to be familiar with is too broad and numerous to be addressed by a series of independent courses. Therefore, most programs have created a set of integrated courses that expose the students to a wide variety of informatics methods in short modules. Typically, these required methods series are organized as a series of required courses taken during the first year of graduate study. This course is the result of discussions by Health and Biomedical Informatics researchers and educators from the Chicago Biomedical Informatics Training (CBIT) initiative. This course is designed as first course of a year-long sequence. Registration in all three quarters is expected. Contact Liz Nida at email@example.com enroll.
Prerequisites: Basic understanding of Python programming language; prior or simultaneous enrollment in Health & Biomedical Informatics (HBMI) intro course.
This course begins September 25th and runs for ten weeks. The first class will take place at Northwestern's downtown campus, 750 Lake Shore Drive, 11th floor (Rubloff).
Summer 2014 Courses
Genetic Basis of Personalized Medicine
Instructors: Minoli Perera
Time: Thursday 4:00-5:50 pm
Aspects of genomics have slowly become integrated into many levels of medical research. This has led to the incorporation of genomics into clinical trial design, cost-effectiveness research, pharmacogenetic studies, as well as influencing the direction of basic science investigation. The field of medical genomic is fast moving and requires specialized knowledge in genetics, statistics, molecular and cell biology, animal models, and epidemiology, thus making it a highly collaborative and translational field. This is a new course designed specifically for upper level graduate students, fellows and junior faculty members, and is meant to provide a strong overview of several areas of knowledge needed to integrate genomics into medical research. Each class will address a different aspect of genetics and genomics as they relate to disease, with emphasis on state-of the-art research methods, current study designs and analysis, and relevant clinical examples drawn from a wide range of medical fields. At the end of this course, clinicians and translational researchers will have a good understanding of how genetics/genomics provides a basis for personalized medicine.
Class will meet 7/3/2014 – 8/28/2014.
The Following courses are a part of the 2014 Summer Program in Outcomes Research Training (SPORT). The deadline to apply to the 2014 Summer Program has now passed.
Intro to Biostatistics
Instructors: Lin Chen
Time: Tuesday/Wednesday/Thursday 3:00-4:30 pm
This course will provide an introduction to the basic concepts of statistics as applied to the bio-medical and public health sciences. Emphasis is on the use and interpretation of statistical tools for data analysis. Topics include (i) descriptive statistics; (ii) probability and sampling; (iii) the methods of statistical inference; and (iv) an introduction to linear and logistics regression.
Pre-requisite of 2 quarters of pre-calculus required. Class will meet 7/8/14-8/21/14.
Instructors: Brian Chiu and Diane Lauderdale
Time: Tuesday/Thursday 9:00-11:00 am
Clinical epidemiology is the "application of epidemiologic principles and methods to problems encountered in clinical medicine." This course introduces the basic principles of epidemiologic study design, analysis and interpretation, with a particular focus on clinical applications. The course includes lectures and discussions based on critical appraisal of significant research articles. The course is primarily intended for, but not restricted to, students with prior clinical training. Health Studies 30700 and 30900 may not both be taken for credit, either will fulfill the basic epidemiology requirement for the MSCP in Health Studies and either will serve as the epidemiology prerequisite for Health Studies 31001.
Introductory statistics recommended. Class will meet 7/8/2014-8/21/2014.
Fundamentals of Health Services Research: Theory, Methods & Applications
Instructors: David Meltzer and Marshall Chin
Time: M/T/W/Th/F 1:00-2:30PM
This course is designed to provide an introduction to the fundamentals of health services research. The basic concepts of health services research will be taught with emphasis on both their social scientific foundations and the methods needed for their practical application to empirically relevant research. Theoretical foundations will draw on principles from economics, sociology, psychology, and the other social sciences. Methodological topics to be covered will include techniques for data collection and analysis, including outcomes measurement, survey methods, large data set research, population-based study design, community based participatory research, research based in clinical settings, qualitative methods, cost-effectiveness analysis, and tools of economic and sociological analysis. The theoretical and empirical techniques taught will emphasize those relevant to the examination of health care costs, quality, and access. Major applications will include: measurement and improvement of health care quality, analysis of health disparities, analysis of health care technology, and analysis of health care systems and markets. This course will meet for 1.5-hour sessions, five times per week for six weeks.
Class will meet 7/7/2014-8/22/2104