A Predictive Model for Ambulatory Patient Service Time

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Abstract
This paper reports results from one area of research on the general problem of resource scheduling and utilization in medical ambulatory care at the Lahey Clinic Foundation in Boston. Major areas in which it is possible to reduce scheduling errors in ambulatory care are noted, and research results in the development of more effective models of predetermining patient service time are reported. Previous work with regard to service time has been centered around the development of the need for individual appointments usually spaced at mean service time intervals. In this report an analysis is made of the variables that determine the expected length of a patient visit. Improved and implementable models for the determination of expected service time based on the criteria of mean absolute error of prediction are noted.

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