Talk:Modeling and simulation

Data Intensive
The article for systems engineering makes good points about data and complexity that I think apply here as well, maybe more so here. I believe this article needs to explain in some detail what data is required for a given fidelity level of decision, and how it must be acquired, organized, managed, and so on. 70.247.162.84 (talk) 20:09, 14 September 2012 (UTC)

Simulation vs. Modeling
In my opinion this article does not do a good job of explaining simulation vs. models. In my opinion, the keys to differentiating simulation from modeling is that simulation is how you a) implement it on the computer and b) show how things change as a function of time. The model is the collection of algorithms, rules, and business rules. The simulation is that model implemented on the computer(s), and in particular how the modeled system changes over time. The simulation can be a stochastic (typically monte carlo with random occurrences typically being based on probabilities) or non-stochastic (deterministic, same result every time). 108.174.243.190 (talk) 14:35, 18 May 2015 (UTC)

Pharmacy education section
I'm about to "park" the text from a section I just deleted. I do not think it fits with this page at all. On this page, simulation means using a mathematical, computerized, etc. method to mimic what is going to happen in a physical system, e.g. a computational fluid dynamics simulation. The pharmacy education section used simulation to mean a real-life mockup of future professional duties.

If that's what simulation means, why only pharmacy education? Why not include standardized patients for medical school? Military exercises? NASA Apollo program trainings for flight controllers? Moot court activities? These are all "simulation" broadly, but not in the sense used in engineering, which how practically all the other sections use the term. --Officiallyover (talk) 20:03, 2 January 2024 (UTC)

Parked text
The shortage of pharmacists in the United States has prompted increases in class sizes and the number of satellite and distance-learning programs at colleges and schools of pharmacy. This rapid expansion has created a burden on existing clinical experimental sites. The Accreditation Council on Pharmacy Education (ACPE) requires at least 1440 hours of advanced pharmacy practice experience (APPE); included among the 1440 hours of APPE, the ACPE requires colleges and schools of pharmacy to provide a minimum of 300 hours of introductory pharmacy practice experience (IPPE) interspersed throughout the first three years of the pharmacy curriculum. Simulation training may be one such model to provide students with the opportunity to apply didactic knowledge and reduce the burden on experiential sites. The inclusion of simulation in IPPEs has gained acceptance and is encouraged by ACPE as described in the Policies and Procedures for ACPE Accreditation of Professional Degree Programs – January 2010. Addendum 1.3, Simulations for Introductory Pharmacy Practices Experiences – Approved June 2010, states:

"Simulation may not be utilized to supplant or replace the minimum expectation for time spent in actual pharmacy practice settings as set forth in the previously established policy. Beyond the majority of time in actual pharmacy practice settings, colleges and schools may utilize simulation to account for no greater than 20% (e.g., 60 hours of a 300-hour IPPE program) of total IPPE time."

Several pharmacy colleges and schools have incorporated simulation as part of their core curricula. At the University of Pittsburgh School of Pharmacy, high-fidelity patient simulators are used to reinforce therapeutics. While the University of Rhode Island College of Pharmacy integrated their simulation program into their pharmacology and medicinal chemistry coursework; and was the first college of pharmacy to purchase a high-fidelity patient simulator. Some pharmacy colleges and schools host virtual reality and full environment simulation programs. For example, Purdue University School of Pharmacy and the university's Envision Center for Data Perceptualization collaborated with the United States Pharmacopeia (USP) to create a virtual clean room that is USP 797 standards compliant.