Literature DB >> 21063544

Application of simulation to facility planning utilizing an organization's forecasted growth strategy.

Ninfa M Saunders1.   

Abstract

This study proposes simulation as a tool for transforming forecasted data into information that leaders can use to make strategic decisions. This study focuses on a health system's strategic decision to meet future demand by either expanding an existing hospital or developing a new 700,000-square-foot, $500M-plus facility. The researcher extracted data from forecasting reports, translated the data into scenarios, and used a simulation package to test, modify, and retest each until a best-suited scenario was identified. Simulation indicated that existing facilities could not accommodate projected demand, delineated structural and financial requirements for a replacement facility, and projected profitability of the new site by service line, program of excellence, and facility. Results of the simulation were used to secure support from the Board of Trustees and funding from financial institutions. The organization initiated construction of the 365-bed facility in late 2008 with occupancy scheduled for early 2011.

Keywords:  facility planning; forecasting; growth; hospital construction; simulation; strategic growth

Mesh:

Year:  2010        PMID: 21063544      PMCID: PMC2966354     

Source DB:  PubMed          Journal:  Perspect Health Inf Manag        ISSN: 1559-4122


  6 in total

1.  A priority queuing model to reduce waiting times in emergency care.

Authors:  K Siddharthan; W J Jones; J A Johnson
Journal:  Int J Health Care Qual Assur       Date:  1996

2.  Simulation in hospitals.

Authors:  T Proctor
Journal:  Health Manpow Manage       Date:  1996

Review 3.  Combining total quality management and simulation with application to family therapy process design.

Authors:  C R Standridge; M D Brown-Standridge
Journal:  J Soc Health Syst       Date:  1995

4.  Improving outpatient clinic efficiency using computer simulation.

Authors:  J E Clague; P G Reed; J Barlow; R Rada; M Clarke; R H Edwards
Journal:  Int J Health Care Qual Assur Inc Leadersh Health Serv       Date:  1997

5.  A simulation model for determining the optimal size of emergency teams on call in the operating room at night.

Authors:  Jeroen M van Oostrum; Mark Van Houdenhoven; Manon M J Vrielink; Jan Klein; Erwin W Hans; Markus Klimek; Gerhard Wullink; Ewout W Steyerberg; Geert Kazemier
Journal:  Anesth Analg       Date:  2008-11       Impact factor: 5.108

6.  Decreasing lab turnaround time improves emergency department throughput and decreases emergency medical services diversion: a simulation model.

Authors:  Alan B Storrow; Chuan Zhou; Gary Gaddis; Jin H Han; Karen Miller; David Klubert; Andy Laidig; Dominik Aronsky
Journal:  Acad Emerg Med       Date:  2008-07-14       Impact factor: 3.451

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.