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Dataset Information

An application of computable biomedical knowledge to transform patient centered scheduling.


ABSTRACT:

Introduction

Efficient appointment scheduling in the outpatient setting is challenged by two main factors: variability and uncertainty leading to undesirable wait times for patients or physician overtime, and events such as no-shows, cancellations, or walk-ins can result in physician idle time and under-utilization of resources. Some methods have been developed to optimize scheduling and minimize wait and idle times in the inpatient setting but are limited in the outpatient setting.

Methods

People and Organization Development, an internal group of organizational developers, led the development of a solution that selects the optimal group of appointments for a patient that minimizes the time between associated procedures as well as lead time built using a linear integer progr

SUBMITTER: Azad N 

PROVIDER: S-EPMC10582215 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature