Simulation based decision-making for hospital pharmacy management

Yurtkuran, Alkın; Emel, Erdal

doi:10.1109/wsc.2008.4736235

Cited by 9 publications

(9 citation statements)

References 3 publications

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“…(6) These studies explore different inventory or replacement polities for material handling. Network distribution and dispatching [ 32 , 259 – 264 ] DES (4); gaming (2); ABS (1); Misc. (3) Cross-departments (2), cross-institutional (8) Microsoft Excel (2); Arena (1); MedModel (1); ProModel (1); JADE (1); VBA (1); Misc.…”

Section: Resultsmentioning

confidence: 99%

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

et al. 2018

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BackgroundResource allocation in patient care relies heavily on individual judgements of healthcare professionals. Such professionals perform coordinating functions by managing the timing and execution of a multitude of care processes for multiple patients. Based on advances in simulation, new technologies that could be used for establishing realistic representations have been developed. These simulations can be used to facilitate understanding of various situations, coordination training and education in logistics, decision-making processes, and design aspects of the healthcare system. However, no study in the literature has synthesized the types of simulations models available for non-technical skills training and coordination of care.MethodsA systematic literature review, following the PRISMA guidelines, was performed to identify simulation models that could be used for training individuals in operative logistical coordination that occurs on a daily basis. This article reviewed papers of simulation in healthcare logistics presented in the Web of Science Core Collections, ACM digital library, and JSTOR databases. We conducted a screening process to gather relevant papers as the knowledge foundation of our literature study. The screening process involved a query-based identification of papers and an assessment of relevance and quality.ResultsTwo hundred ninety-four papers met the inclusion criteria. The review showed that different types of simulation models can be used for constructing scenarios for addressing different types of problems, primarily for training and education sessions. The papers identified were classified according to their utilized paradigm and focus areas. (1) Discrete-event simulation in single-category and single-unit scenarios formed the most dominant approach to developing healthcare simulations and dominated all other categories by a large margin. (2) As we approached a systems perspective (cross-departmental and cross-institutional), discrete-event simulation became less popular and is complemented by system dynamics or hybrid modeling. (3) Agent-based simulations and participatory simulations have increased in absolute terms, but the share of these modeling techniques among all simulations in this field remains low.ConclusionsAn extensive study analyzing the literature on simulation in healthcare logistics indicates a growth in the number of examples demonstrating how simulation can be used in healthcare settings. Results show that the majority of studies create situations in which non-technical skills of managers, coordinators, and decision makers can be trained. However, more system-level and complex system-based approaches are limited and use methods other than discrete-event simulation.

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Section: Resultsmentioning

confidence: 99%

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

et al. 2018

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“…One type of mathematical modeling, computer simulation, has been fairly widely used to guide operational decision-making in healthcare, including in pharmacies, as evidenced by several peer-reviewed publications [21][22][23][24][25][26][27][28][29][30][31]. Another type, analytical modeling, has not gained the same level of acceptance despite being easier to develop [20] than simulation models.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Case Study: Use of Pharmacy Patient Information Systems to Improve Operational Efficiency

Dobson

Tilson

et al. 2014

2014 47th Hawaii International Conference on System Sciences

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In recent years, many US hospitals embarked on "lean" projects to reduce waste. One advantage of the lean operational improvement methodology is that it relies on process observation by the workers, and requires relatively little data [1]. However, as more operational data becomes available, hospitals may be able to prospectively evaluate and implement redesigns resulting in even more significant waste reductions. We provide one example of such a redesign in this case of a data-driven waste reduction project in an in-hospital pharmacy. A relatively simple mathematical model of the medication prepared and delivered by the pharmacy is used to estimate the savings from several potential approaches (rescheduling the start of production, scheduling multiple batches, or reordering production) as well the impact of some information system enhancements. We find that relatively small process changes, if implemented nationally, have the potential to save tens of millions of dollars annually.

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“…Ramis et al (2008) model the imaging center as a pull system and minimize the patient waiting times. Yurtkuran and Emel (2008) develop a simulation based decision making tool to optimize pharmacy operations. Song, Bair, and Mingchang (2008) study the effect of physician starting time in a physical examination routine and patient arrival times using simulation with goal programming model.…”

Section: Specialist Clinicsmentioning

confidence: 99%

Object oriented framework for healthcare simulation

Venkitasubramanian¹,

Roberts²,

Joines³

2015

2015 Winter Simulation Conference (WSC)

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Certain formatting styles have been adopted in this paper to facilitate easy reading. All the fonts and their keys are explained below. Legend Key Processes Times new roman, 12 font, underlined represents SIMIO processes ELEMENTS Courier New, 12 font, ALL CAPS Italics represents elements EventNames Courier New, 12 font, First Letter Caps, represents elements States Courier New, 12 font, Sentence Case, Italics represents state variables Functions Cambria, 12, represents function definitions Expressions Cambria 12, Italics represents expressions Properties Times new roman, 12 , Italics represents properties as well as drop down selections List Names Courier New, 12 font, Sentence Case, Underlined represents lists " Output Node" Times new roman 12, Sentence case represents items of external view "Concept" Times new roman 12, Sentence case, Italics represents concepts BASE CLASS Times new roman 12, Bold, All Caps represents SIMIO Base Classes Standard Library Times new roman 12, Bold Sentence case represents SIMIO Standard library Hospital Worker Times new roman 12, Bold Italics represents SIMIO HC Base class HW_LC_Xray Times new roman 12, Italics, Underlined represents SIMIO-HC children class (not different from base as they vary by very few parameters) steps Copper Plate Gothic Light, 12, lowercase, represents SIMIO steps

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Simulation based decision-making for hospital pharmacy management

Cited by 9 publications

References 3 publications

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

A systematic literature review of simulation models for non-technical skill training in healthcare logistics

Quantitative Case Study: Use of Pharmacy Patient Information Systems to Improve Operational Efficiency

Object oriented framework for healthcare simulation

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