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Table 1 Diversity in modeling and simulation applications in the hospital setting

From: Integration of modeling and simulation into hospital-based decision support systems guiding pediatric pharmacotherapy

M&S Fields

Application

Approach

Treatment Outcomes

• Medical folder management system – physician clinical decision making [3]

• Cancer pharmacotherapy multi-drug decision support [4]

• Predictive model to predict Clostridium difficile infection (diahhrea) outbreaks [5]

• Hospital-wide surveillance for nosocomial infection to assess patient risk [6]

• Methicillin-resistant Staphylococcus aureus transmission among hospitalized patients – risk factors and prediction [7]

• DSS interfaced to EMRS

• KITT model and decision tree

• Reversible jump MCMC model

• Logistic regression model

• Monte Carlo simulation

Healthcare Costs

• Health care costs of geriatric inpatients [8]

• Hospital-acquired infection costs [9]

• Costs and outcomes of cardiovascular surgery [10]

• Bayesian Network Theory/Model

• Monte Carlo simulation model

• Systems dynamic model STELLA

Patient Flow/Occupancy

• Patient flow in a pediatric emergency department [11]

• Critical care planning capacity [12]

• Healthcare facility patient flow [13]

• Hospital patient flow [13]

• Discrete event simulation

• CART analysis

• Queuing network system

• Clustering

Hospital Operations

• Hospital operations for emergency response [15]

• Length of stay in the ICU [16]

• Directly observed therapy in newly diagnosed HIV infection [17]

• System-level investigation of emergency department (ED) operations [18]

• Healthcare quality improvement via simulation [19]

• Optimum operating room staffing needs for trauma centers [20]

• ICU duration/length of stay analysis [21]

• Transient modeling regression approach

• Linear regression

• Probabilistic Markov Model

• Discrete event simulation (EDSIM)

• Multivariate simulation models

• Queuing and simulation methods

• Class probability tree