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Operations Research Methods Applied to Workflow in a Medical Records Department

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Abstract

Transcribing medical documents accurately into pre-defined formats and within certain time frames is vital for administrative and medical purposes in any hospital. This paper describes quantitative models incorporating available data to represent transcription activities of a medical records department. We forecasted the workload of the department, determined the optimal worker schedule and designed a simulation model to represent the workflow of the transcription function of a medical record department. The findings provided insight into the workflow, staffing and performance of the department.

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References

  1. T.W. Anderson and D.A. Darling, Asymptotic theory of certain goodness of fit criteria based on stochastic processes, The Annals of Mathematical Statistics 23 (1952) 193-212.

    Google Scholar 

  2. J.D. Gibbons and S. Chakraborti, Nonparametric Statistical Inference, 3rd Ed. (Marcel Dekker, New York, 1992).

    Google Scholar 

  3. S.Y. Edna Chan, Modeling of workflow for a Hospital's Medical Records Department, Master's Thesis, Mathematics and Statistics Department, University of Nebraska, Lincoln (1999). Available: Mathematics Library LD3656 1999.C436.

    Google Scholar 

  4. D. Gross and C.M. Harris, Fundamentals of Queueing Theory, 2nd Ed. (Wiley, New York, 1985).

    Google Scholar 

  5. F.S. Hillier and G.J. Liberman, Introduction to Operations Research, 6th Ed. (McGraw-Hill, New York, 1995).

    Google Scholar 

  6. W.D. Kelton, R.P. Sadowski and D.A. Sadowski, Simulation with Arena (WCB McGraw-Hill, Boston, 1998).

    Google Scholar 

  7. A.M. Law and S. Vincent, Expertfit User's Guide (Averill M. Law & Associates, Arizona, 1995).

    Google Scholar 

  8. Manguistics, Statgraphics Plus User's Manual, 3rd version (Manguistics, Maryland, 1997).

    Google Scholar 

  9. D.C. Montgomery, L.A. Johnson and J.S. Gardiner, Forecasting and Time Series Analysis (McGraw-Hill, New York, 1990).

    Google Scholar 

  10. J. Ohlmann, Forecasting and optimal scheduling of transcriptionists at Madonna Rehabilitation Hospital, Undergraduate Honors Thesis, Mathematics and Statistics Department, University of Nebraska, Lincoln (1998). Available at http://www.math.unl.edu/~sdunbar/Research. html.

    Google Scholar 

  11. L.E. Schrage, User's Manual Linear, Integer and Quadratic Programming with LINDO, student ed. (Course Technology Incorporate, 1991).

  12. L. Wall, T. Christiansen and R.L. Schwartz, Programming Perl, 2nd Ed. (O'Reilly & Associates, California, 1996).

    Google Scholar 

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Correspondence to S.-Y. Edna Chan.

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Edna Chan, SY., Ohlmann, J., Dunbar, S. et al. Operations Research Methods Applied to Workflow in a Medical Records Department. Health Care Management Science 5, 191–199 (2002). https://doi.org/10.1023/A:1019744602444

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  • DOI: https://doi.org/10.1023/A:1019744602444

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