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 |