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Internal Flows and Frequency of Internal Overflows in a Large Teaching Hospital

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Intelligent Patient Management

Part of the book series: Studies in Computational Intelligence ((SCI,volume 189))

Abstract

Internal overflows occur when the nursing unit that would normally treat a patient is full and the patient must be assigned to a substitute unit. This common problem in hospital capacity planning is also known as bed borrowing. A stochastic model of the external and internal patient flows among the 20 nursing units in the adult medical division of a large university hospital was formed to estimate the frequency of internal overflows. Model parameters were estimated by tracking admissions, discharges, and transfers between units for one year. Internal overflows in the stochastic model were quite common. Cases where all related units that might reasonably provide comparable care were also full, were less common but occurred frequently enough in some nursing units to cause concern. A simplified version of the model allowed computation of the expected steady state occupancy level for each of the nursing units. The ratio of this steady state to the number of beds in a unit proved to be an excellent predictor of the frequency of internal overflows for that nursing unit, with the frequency becoming large when the ratio exceeded 80%.

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References

  1. Shonick, W.: A stochastic model for occupancy-related random variables in general-acute hospitals. Journal of the American Statistical Association 65, 1474–1500 (1970)

    Article  MATH  MathSciNet  Google Scholar 

  2. Shonick, W., Jackson, J.R.: An improved stochastic model for occupancy-related random variables in general-acute hospitals. Operations Research 21, 952–965 (1973)

    Article  MATH  MathSciNet  Google Scholar 

  3. Hancock, W.M., Martin, J.B., Storer, R.H.: Simulation-based occupancy recommendation for adult medical/surgical units using admissions scheduling systems. Inquiry: A Journal of Medical Care Organization, Provision and Financing 15, 25–32 (1978)

    Google Scholar 

  4. Bagust, A., Place, M., Posnett, J.W.: Dynamics of bed use in accommodating emergency admissions: stochastic simulation model. British Medical Journal 319(7203), 155–158 (1999)

    Google Scholar 

  5. Harrison, G.W., Shafer, A., Mackay, M.: Modelling variability in hospital bed occupancy. Health Care Management Science 8, 325–334 (2005)

    Article  Google Scholar 

  6. Rae, B., Busby, W., Millard, P.H.: Fast-tracking acute hospital care – from bed crisis to bed crisis. Australian Health Review 31, 50–62 (2007)

    Article  Google Scholar 

  7. Green, L.V.: How many hospital beds? Inquiry: A Journal of Medical Care Organization. Provision and Financing 39, 400–412 (2002)

    Google Scholar 

  8. Nguyen, J.M., Six, P., Antonioli, D., Glemain, P., Potel, G., Lombrail, P., LeBeau, P.: A simple method to optimize hospital beds capacity. International Journal of Medical Informatics 74, 39–49 (2005)

    Article  Google Scholar 

  9. Gorunescu, F., McClean, S.I., Millard, P.H.: Using a queuing model to help plan bed allocation in a department of geriatric medicine. Health Care Management Science 5, 307–312 (2002)

    Article  Google Scholar 

  10. El-Darzi, E., Vasilakis, C., Chaussalet, T., Millard, P.H.: A simulation modelling approach to evaluating length of stay, occupancy, emptiness and bed blocking in a hospital geriatric department. Health Care Management Science 1, 143–149 (1998)

    Article  Google Scholar 

  11. Kokangul, A.: A combination of deterministic and stochastic approaches to optimize bed capacity in a hospital unit. Computer Methods and Programs in Biomedicine 90, 56–65 (2008)

    Article  Google Scholar 

  12. Green, L.V., Nguyen, V.: Strategies for cutting hospital beds: the impact on patient service. Health Services Research 32, 421–442 (2001)

    Google Scholar 

  13. McQuarrie, D.G.: Hospital utilization levels. The application of queuing theory to a controversial medical economic problem. Minnesota Medicine 66, 679–686 (1983)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Keepers, K., Harrison, G.W. (2009). Internal Flows and Frequency of Internal Overflows in a Large Teaching Hospital. In: McClean, S., Millard, P., El-Darzi, E., Nugent, C. (eds) Intelligent Patient Management. Studies in Computational Intelligence, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00179-6_11

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  • DOI: https://doi.org/10.1007/978-3-642-00179-6_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00178-9

  • Online ISBN: 978-3-642-00179-6

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