Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

Pharmacokinetic–Pharmacodynamic Relationship: Problems

The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
Pharmaceutical Poisoning: Potential Scenarios01:26

Pharmaceutical Poisoning: Potential Scenarios

Pharmaceutical poisoning can occur through various channels, impacting an estimated 2 million hospitalized patients in the U.S. annually with serious adverse drug responses. These scenarios encompass both therapeutic uses, such as drug toxicity, where even standard dosages can lead to severe central nervous system depression, and non-therapeutic exposures, including accidental ingestion by children, and environmental and occupational exposures.Unintentional poisonings often involve exploratory...
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The combined use of natural language processing and electronic health records data to identify historical tolerances of β-lactams and promote clinician confidence in future use.

Health systems (Basingstoke, England)·2026
Same author

How-To Strategies for Integrating Generative Artificial Intelligence (GenAI) Into Pharmacy Education Teaching and Learning Activities.

Journal of the American College of Clinical Pharmacy : JACCP·2026
Same author

Use of implementation frameworks to guide development and adoption of a nephrotoxin stewardship service in high-risk hospitalized patients.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists·2026
Same author

A Retrospective Pharmacovigilance Disproportionality Analysis of Possible Nephrotoxicity and Natural Products Using Data from the FDA Adverse Event Reporting System.

Journal of integrative and complementary medicine·2026
Same author

Incidence and Outcomes of Refractory Septic Shock per Consensus Clinical Criteria: A Multicohort Retrospective Study.

Critical care medicine·2026
Same author

Identifying clinician-reported medication "Failure modes" in the nursing home setting that are amenable to active monitoring.

Research in social & administrative pharmacy : RSAP·2026

Related Experiment Video

Updated: May 21, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

Simulation-based learning versus problem-based learning in an acute care pharmacotherapy course.

Amy L Seybert1, Pamela L Smithburger, Lawrence R Kobulinsky

  • 1Department of Pharmacy and Therapeutics, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA. seyberta@upmc.edu

Simulation in Healthcare : Journal of the Society for Simulation in Healthcare
|June 2, 2012
PubMed
Summary

High-fidelity simulation-based learning (SBL) significantly improved pharmacy students' clinical assessment and critical thinking skills compared to problem-based learning (PBL). SBL enhanced learning outcomes in acute care pharmacotherapy training.

More Related Videos

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Related Experiment Videos

Last Updated: May 21, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
09:52

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide

Published on: January 15, 2017

Area of Science:

  • Pharmacy Education
  • Medical Simulation
  • Pharmacotherapy Training

Background:

  • Limited comparative data exists between simulation-based learning (SBL) and other educational methods.
  • The effectiveness of high-fidelity simulation versus problem-based learning (PBL) in pharmacy education requires further investigation.

Purpose of the Study:

  • To compare the efficacy of high-fidelity simulation-based learning (SBL) against problem-based learning (PBL).
  • To evaluate which method is superior for training pharmacy students in an acute care elective.

Main Methods:

  • A randomized crossover study involving 29 pharmacy students in an Acute Care Pharmacotherapy Simulation course.
  • Students were allocated to SBL or PBL for specific topics (dysrhythmias, heart failure) over two weeks.

Main Results:

  • The SBL group demonstrated significantly higher postquiz scores than the PBL group.
  • Students in the SBL group showed at least a 15% improvement in clinical assessment (P = 0.013).
  • SBL led to significantly better critical thinking skills in problem listing, pharmacotherapy planning, and monitoring.

Conclusions:

  • Simulation-based learning (SBL) enhances learning outcomes more effectively than problem-based learning (PBL).
  • High-fidelity simulation is a superior method for improving clinical skills and critical thinking in pharmacy students.