Wendy Novicoff headshot

Wendy Michelle Novicoff

Unit: School of Medicine
Department: PBHS Public Health Sciences Admin
Office location and address
Health System West Complex, Room 3193
1335 Lee St
Charlottesville, Virginia 22903
Ph.D., University of Virginia, Research Methods, 1998

Wendy M. Novicoff, Ph.D. is a Professor in Public Health Sciences, heading the Novicoff Program in Research in Quality and Patient Safety, coordinating the Be Smart-Be Safe Program in Quality and Patient Safety (a joint program between the School of Medicine and the UVA Hospital), and participating in the Clinical Outcomes and Comparative Effectiveness Research program.  She is a health services researcher employing both qualitative and quantitative research methodologies, with special expertise in outcomes evaluation, program design and evaluation, and performance improvement in hospitals and health systems.  She is a certified Lean Six Sigma Master Black Belt, and she has taught quality and performance improvement to groups both within UVA and around the country, including serving as Faculty for the American College of Healthcare Executives (ACHE).  Dr. Novicoff also has a faculty appointment with Orthopaedic Surgery, where she leads clinical outcomes research projects with residents and faculty.  She has published more than 50 peer-reviewed publications, and she has presented more than 100 abstracts at national and international conferences.

Tyto Care - Effectiveness of the Use of an External Telemedicine Device
Source: TytoCare, Ltd.
January 12, 2022 – January 12, 2023
Academic Perinatal Safety Initiative
Source: Premier Healthcare Solutions, Inc.
June 24, 2021 – June 23, 2022
PHS 5960: Supervised Independent Research
Credits: 1–3
Supervised Independent Research
DS 6011: Data Science Capstone Project Work I
Credits: 1
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
DS 6013: Data Science Capstone Project Work II
Credits: 1–2
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
PHS 7060: Program Planning and Evaluation
Credits: 3
Provides an overview of the principles and methods of evaluation in public health and health informatics. Covers evaluation paradigms, program planning, evaluation plan design, and use of evaluation findings. Frequent tools in evaluation (surveys, focus groups, and interviews) will be discussed in depth. Students will have the opportunity to design and conduct an evaluation for an existing program in public health or application in health informatics. May be open to undergraduates as PHS 5060 with instructor permission. Prerequisite: Instructor permission.
PHS 7365: LEAN for Healthcare
Credits: 3
This course will train participants to utilize Lean methodologies and tools that can help improve throughput and other performance measures in a healthcare setting. Lean is a leading process improvement methodology used to achieve significant improvements in quality, service, productivity, and customer satisfaction. It uses a variety of statistical tools and other skills, integrated with a standardized methodology, to measure, and analyze.
PHS 8880: Integrative Learning RP Part 1
Credits: 2
Practicum associated with Methods Course for Research in Practice Concentration. Prerequisite: Instructor Permission
PHS 8881: Integrative Learning HP Part 1
Credits: 1–3
Practicum associated with Methods Course for Health Policy, Law & Ethics Concentration. Prerequisite: Instructor Permission
PHS 8950: Supervised Clinical Research I
Credits: 1–3
Supervised Clinical Research
PHS 8951: Supervised Clinical Research Using R
Credits: 1–3
Introduce students to R, an open-source software environment for statistical computing & graphics & RStudio. Students will learn essential R concepts, how to access various R packages, & how to do data analysis & graphics in the R environment Prereqs: PHS 7000, PHS 7170.
PHS 8960: Supervised Independent Research I
Credits: 1–6
Supervised Independent Research