Public Health

Quantitative Methods in Health Care Management: Techniques by Yasar A. Ozcan

By Yasar A. Ozcan

Thoroughly revised and up-to-date for ExcelВ®, this moment variation of Quantitative tools in well-being Care administration deals a accomplished advent to quantitative tools and methods for the coed or new administrator. Its vast variety of useful tools and research spans operational, tactical, and strategic judgements. clients will locate thoughts for forecasting, decision-making, facility place, facility format, reengineering, staffing, scheduling, productiveness, source allocation, provide chain and stock administration, qc, undertaking administration, queuing versions for potential, and simulation. The book's step by step technique, use of Excel, and downloadable Excel templates make the textual content hugely practical.

Praise for the second one version

''The moment variation of Dr. Ozcan's textbook is finished and well-written with beneficial illustrative examples that provide scholars and healthiness care execs an ideal toolkit for quantitative selection making in overall healthiness care at the highway for the twenty-first century. The textual content is helping to provide an explanation for the complicated wellbeing and fitness care administration difficulties and provide aid for determination makers during this field.'' —Marion Rauner, affiliate professor, university of industrial, Economics, and information, college of Vienna.

''Quantitative tools in wellbeing and fitness Care management, moment variation covers a huge set of beneficial and demanding subject matters. it's a beneficial textual content that's effortless to educate and research from.'' —David Belson, professor, division of business Engineering, Viterbi institution of Engineering, collage of Southern California.

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Additional info for Quantitative Methods in Health Care Management: Techniques and Applications

Example text

In general, the more periods in a moving average, the less responsive the forecast will be to changes in the data, creating a lag response. 2, following. 2 A pediatric clinic manager would like to find the best moving average forecast for the next month’s visits. The past data contain the last twenty-eight months. Solution The solution to this problem requires calculation of moving averages for various periods (for instance: MA3 through MA7). Two approaches can be used to identify the best MA period: (1) graph, and (2) minimum forecasting errors.

This indicates that bypass surgeries for that month are 12 percent above the monthly average. 88 indicates that surgeries in a given month are at 88 percent of the monthly average. If time series data contain trend and seasonality, the health care manager can remove (decompose) the seasonality by using seasonal indexes to discern a clearer picture of the trend. Removing seasonality in the multiplicative model is done by dividing each data point by its seasonal index (relative). Calculation of a seasonal index depends upon the period being considered which identifies the index (such as: quarterly indexes, monthly indexes, or daily indexes).

The participants are far more likely to interact with each other under the jury of executive opinion model. 14 Quantitative Methods in Health Care Management: Techniques and Applications A naïve extrapolation involves making a simple assumption about the economic outcome of the next period, or a subjective extrapolation from the results of current events. At the other end of the forecasting spectrum are mathematical and statistical techniques using historical data, called time series. Time-Series Approach A time series is a sequence of evenly spaced observations taken at regular intervals over a period of time (such as daily, hourly, weekly, monthly, or yearly).

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