The site already has an Antimicrobial Stewardship and Infection Prevention course, and the Infectious Diseases fellowship offers an antimicrobial stewardship specialty certificate, but neither includes a quantitative module on dosing and resistance dynamics. This module adds the modeling that makes stewardship decisions defensible: dose optimization, pharmacokinetic/pharmacodynamic (PK/PD) targets, and the population dynamics of resistance. It is a short module that appends to the existing stewardship certificate.
Draft proposal. This is an early proposal for a bolt-on certificate module. Course numbers, credit hours, and the mapping onto the Infectious Diseases fellowship stewardship specialty certificate are placeholders and will be confirmed with the fellowship program before the module is offered.
Overview
Stewardship decisions rest on quantitative reasoning that is often left implicit: how a dose maps to drug exposure, which exposure targets predict efficacy, and how dosing choices select for resistance. This module makes that reasoning explicit. Learners work through PK and PD profiles, compute PK/PD targets, and model how resistance emerges and spreads through a treated population.
Who it is for
- Infectious Diseases fellows pursuing the stewardship specialty certificate
- Pharmacists and antimicrobial stewardship program staff
- Clinicians who set or review dosing and de-escalation policy
Learners are expected to have completed or to be taking the antimicrobial stewardship material and to be comfortable with introductory statistics.
Structure and credits
This is a short bolt-on module of roughly 2 to 3 credits appended to the stewardship specialty certificate. Delivery is modular and part-time compatible, so fellows and working pharmacists can complete it alongside clinical duties.
| Component | Focus |
|---|---|
| PK/PD foundations | Pharmacokinetic and pharmacodynamic profiles |
| Target attainment | AUC/MIC, time above MIC, dose optimization |
| Resistance dynamics | Selection windows and population models of resistance |
Exact credit hours will be set with the Department of Biology and the fellowship program.
Learning outcomes
On completing the module, learners will be able to:
- Interpret PK and PD profiles and compute PK/PD targets such as AUC/MIC and time above MIC
- Reason about how dosing choices shape resistance selection
- Model the population dynamics of resistance emergence and spread
- Connect these quantitative results to stewardship metrics and policy
Curriculum and modules
The module draws on existing concept pages and on the stewardship course. Two planned concept pages, a population model of resistance and a page on PK/PD target attainment, are being developed in parallel and are referred to here in plain text.
| Component | Underlying course | Site resources |
|---|---|---|
| PK/PD foundations | Antimicrobial Stewardship and Infection Prevention | Pharmacokinetics, Pharmacodynamics |
| Target attainment | Antimicrobial Stewardship and Infection Prevention | Antimicrobial PK/PD; planned page on PK/PD target attainment |
| Resistance dynamics | Antimicrobial Stewardship and Infection Prevention | Stewardship and infection prevention; planned page on population models of resistance |
Relationship to existing Wake Forest certificates
Wake Forest’s Infectious Diseases fellowship already offers specialty
certificates in antimicrobial stewardship, global health, patient safety, and
translational sciences.
This module is a bolt-on to the stewardship specialty certificate.
It adds a quantitative layer to that credential rather than standing alone.
The exact credit and enrollment mapping is @placeholder and will be confirmed
with the fellowship program.
Site resources
The module is powered by existing concept pages: Pharmacokinetics, Pharmacodynamics, Antimicrobial PK/PD, and the Antimicrobial Stewardship and Infection Prevention course. See the Programs page for how stewardship fits the wider concentration.
Admission and how to enroll
- Admission requirements (including enrollment in the stewardship certificate):
@placeholder - Application process and deadlines:
@placeholder - Tuition and fees:
@placeholder - Contact for enrollment questions:
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Prospective learners should contact the program to discuss fit and sequencing.
Artificial intelligence and academic integrity
Large language models such as ChatGPT, Claude, and Gemini are now part of academic and professional work, and learners are encouraged to use them to support their learning. If you use these tools, cite them and describe how you used them. They supplement your work; they do not replace your own understanding, and using them without attribution is plagiarism and will be treated as such.
Proposal change notice
This module proposal and the details herein are subject to change.