Related Experiment Video
Updated: Aug 16, 2026
07:40
A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
GENERATIVE AI-ASSISTED DRUG-DRUG INTERACTION CASE SUPPORT AND PHARMACY STUDENTS' COMPETENCE: A MIXED-METHODS STUDY
A Alhur1, S Al-Atif2, A Alhur3
11Department of Health Informatics, College of Public Health and Health Informatics, University of Hail, Saudi Arabia.
Georgian Medical News
|August 14, 2026
Summary
Generative artificial intelligence (AI) tools improved pharmacy students' drug-drug interaction (DDI) management skills and confidence. This AI-assisted approach enhanced clinical reasoning and decision-making in complex cases.
Area of Science:
- Pharmacy Education
- Medical Informatics
- Artificial Intelligence in Healthcare
Background:
- Drug-drug interactions (DDIs) are a major cause of preventable adverse drug events.
- Effective management of DDIs is a critical skill for pharmacists.
- Generative artificial intelligence (GenAI) offers potential for enhancing clinical reasoning and medication safety training, but its educational impact is not well-established.
Purpose of the Study:
- To assess the impact of a GenAI-assisted DDI alert tool on pharmacy students' ability to manage complex DDI cases.
- To explore student perceptions of AI-enhanced clinical reasoning.
Main Methods:
- A comparative mixed-methods study involved advanced pharmacy students in Saudi Arabia.
- Participants were divided into an AI-assisted group (n=96) and a non-AI group (n=88).
- Competence was evaluated using case-based assessments and a standardized rubric; qualitative data were collected via thematic analysis.
Main Results:
- The AI-assisted group showed significantly higher scores in understanding DDI mechanisms, confidence, perceived challenge appropriateness, and overall satisfaction.
- Objective competence scores were superior in the AI-assisted group across DDI identification, mechanism assessment, clinical management, and therapeutic justification.
- AI-assisted students achieved a significantly higher composite competence score.
Conclusions:
- GenAI-assisted DDI support significantly improved pharmacy students' competence, confidence, and assessment experience.
- GenAI can function as an effective educational scaffold for enhancing clinical reasoning and therapeutic decision-making.
- Integration of GenAI in pharmacy education requires structured learning environments and faculty oversight.
Related Concept Videos
01:14Agonism and Antagonism: Quantification
When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
01:27Combined Effects of Drugs: Synergism
Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
Such synergistic combinations...
01:30Drug toxicity: Drug–Drug Interaction
Drug–drug interactions can precipitate toxicity through multiple mechanisms. Absorption interactions alter how drugs enter the body, exemplified when ranitidine increases the absorption of basic drugs, while cholestyramine decreases the levels of propranolol. Protein binding interactions occur when drugs share the same binding sites on plasma proteins. Drugs like aspirin and warfarin, when bound in excess, can lead to increased free drug concentrations, enhancing the potential for...
01:29Pharmacogenetics and Pharmacogenomics: Overview
Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
01:25Pharmacokinetics: Drug–Drug Interactions
Drug interactions occur when the pharmacological effect of one drug is altered by another substance, either enhancing or diminishing its activity. The drug whose activity is altered is known as the object drug, and the substance causing the alteration is called the agent drug or the precipitant. The net effects of these interactions are mostly undesirable, leading to decreased effectiveness or increased adverse effects. In rare cases, interactions can be beneficial, such as the enhanced...
01:24Drug Toxicity: Risk factors
Adverse Drug Reactions (ADRs) are potential complications that arise during pharmacotherapy, influenced by multiple risk factors. Age plays a significant role; both neonates and the elderly are at heightened risk due to their respective immature and diminished metabolic and elimination processes. Gender also impacts ADRs, with females experiencing a 1.5 to 1.7-fold greater risk than males, which may be linked to pharmacokinetic, pharmacodynamic, and hormonal differences. Notably, neonates, the...