Related Experiment Videos
Mathematical modeling of pharmacy systems
B S Dean1, S Gallivan, N D Barber
1Centre for Pharmacy Practice, School of Pharmacy, London University, England.
Summary
Mathematical modeling provides a low-cost, low-risk method for pharmacists to aid decisions in pharmacy systems. This approach uses simplified representations to predict future outcomes, improving system management.
Area of Science:
- Pharmacy Systems Analysis
- Computational Science
- Health Informatics
Background:
- Mathematical modeling offers a simplified representation of real-world systems.
- It minimizes experimental costs, risks, and disruptions, though validation can be challenging.
- Mathematical models numerically describe system relationships, aiding decision-making.
Purpose of the Study:
- To discuss mathematical modeling and its applications in pharmacy.
- To highlight the utility of mathematical models in pharmacy system decision-making.
- To explore the types and stages of mathematical modeling studies.
Main Methods:
- Discussion of analytical models (e.g., pharmacokinetic models) and simulation models (continuous-time and discrete-event).
- Outline of the seven stages of a mathematical modeling study: problem formulation, structure determination, data collection/analysis, model development, validation, experimentation, and result utilization.
- Mention of commercially available simulation programs.
Main Results:
- Mathematical models are powerful tools for decision-making in complex systems.
- Analytical models are simpler but less suitable for highly complex systems.
- Few applications of modeling have focused on pharmacy systems despite its potential.
Conclusions:
- Mathematical modeling is a valuable, low-risk, low-cost tool for pharmacists.
- It enables prediction of alternative futures for pharmacy systems.
- Enhances decision-making processes within pharmacy practice.