Dataset Information

A Stochastic Programming Model for Service Scheduling with Uncertain Demand: an Application in Open-Access Clinic Scheduling

ABSTRACT: This paper addressed a scheduling problem which handles urgent tasks along with existing schedules. The uncertainties in this problem come from random process of existing schedules and unknown upcoming urgent tasks. To deal with the uncertainties, this paper proposes a stochastic integer programming (SIP) based aggregated online scheduling method. The method is illustrated through a study case from the outpatient clinic block-wise scheduling system which is under a hybrid scheduling policy combining regular far-in-advance policy and the open-access policy. The COVID-19 pandemic brings more challenges for the healthcare system including the fluctuations of service time and increasing urgent requests which this paper is designed for. The schedule framework designed in the method is comprehensive to accommodate various uncertainties in the healthcare service system, such as: no-shows, cancellations and punctuality of patients as well as preference of patients over time slots and physicians.

Supplementary Information

The online version contains supplementary material available at 10.1007/s43069-021-00089-6.

SUBMITTER: Fu Y

PROVIDER: S-EPMC8390183 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND: The goal of advanced access scheduling is to eliminate wait times for physician visits by ensuring access to same-day appointments, regardless of urgency or health care need. The intent is to reduce delays in access, leading to improvements in clinical care and patient satisfaction, and reductions in the use of urgent care. OBJECTIVE: To evaluate whether implementation of an advanced access scheduling system reduced other types of health service utilization and/or improved clinical measures and patient satisfaction among adults with chronic diseases. DATA SOURCES AND REVIEW METHODS: A literature search was performed on January 29, 2012, for studies published from 1946 (OVID) or 1980 (EMBASE) to January 29, 2012. Systematic reviews, randomized controlled trials, and observational studies were eligible if they evaluated advanced access implementation in adults with chronic diseases and reported health resource utilization, patient outcomes, or patient satisfaction. Results were summarized descriptively. RESULTS: One systematic review in a primary care population and 4 observational studies (5 papers) in chronic disease and/or geriatric populations were identified. The systematic review concluded that advanced access did not improve clinical outcomes, but there was no evidence of harm. Findings from the observational studies in chronic disease populations were consistent with those of the systematic review. Advanced access implementation was not consistently associated with changes in clinical outcomes, patient satisfaction, or health service utilization. LIMITATIONS: All studies were retrospective: 3 studies (4 papers) included historical controls only, and 1 included contemporaneous controls. Findings were inconsistent across studies for a number of outcomes. CONCLUSIONS: Based on low to very low quality evidence, advanced access did not have a statistically (or clinically) significant impact on health service utilization among patients with diabetes and/or coronary artery disease (CAD). Very low quality evidence showed a significant reduction in the proportion of patients with diabetes and CAD admitted to hospital whose length of stay was greater than 3 days. Evidence was inconsistent for changes in clinical outcomes for patients with diabetes or CAD. Very low quality evidence showed no increase in patient satisfaction with an advanced access scheduling system.

Dataset Information

A Stochastic Programming Model for Service Scheduling with Uncertain Demand: an Application in Open-Access Clinic Scheduling

Supplementary Information

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