ArticleHealth care management science2017
Strategies for interday appointment scheduling in primary care.
Article in Health care management science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
10 citing papers in PubMed.
- Real-Time Analytics and AI for Managing No-Show Appointments in Primary Health Care in the United Arab Emirates: Before-and-After Study.JMIR formative research · 2025Article
- Small Changes in Patient Arrival and Consultation Times Have Large Effects on Patients' Waiting Times: Simulation Analyses for Primary Care.International journal of environmental research and public health · 2023Article
- Mind the gap: a review of optimisation in mental healthcare service delivery.Health systems (Basingstoke, England) · 2023Review
- Wait!What does that mean?: Eliminating ambiguity of delays in healthcare from an OR/MS perspective.Health systems (Basingstoke, England) · 2023Review
- Patients, primary care, and policy: Agent-based simulation modeling for health care decision support.Health care management science · 2021Article
- A Real-Time, Automatic, and Dynamic Scheduling and Control System for PET Patients Based on Wearable Sensors.Sensors (Basel, Switzerland) · 2021Article
- Work-Related Psychosocial Demands and Resources in General Practice Teams in Germany. A Team-Based Ethnography.International journal of environmental research and public health · 2020Article
- Cyclic shift scheduling with on-call duties for emergency medical services.Health care management science · 2019Article
- Stochastic integer programming for multi-disciplinary outpatient clinic planning.Health care management science · 2019Article
- Do general practice patients with and without appointment differ? Cross-sectional study.BMC family practice · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
When faced with a medical problem, patients contact their primary care physician (PCP) first. Here mainly two types of patient requests occur: non-scheduled patients who are walk-ins without an appointment and scheduled patients with an appointment. Number and position of the scheduled appointments influence waiting times for patients, capacity for treatment and the utilization of PCPs. As the number of patient requests differs significantly between weekdays, the challenge is to match capacity with patient requests and provide as few appointment slots as necessary. In this way, capacity for walk-ins is maximized while overall capacity restrictions are met. Decisions as to the optimal appointment capacity per day on a tactical decision level has gained little attention in the literature. A mixed integer linear model is developed, where the minimum number of appointments scheduled for a weekly profile is determined. We are thus able to give the answer as to how many appointments to offer on each day in a week in order to create a schedule that takes patient preferences as well as PCP preferences into account. Appointment schedules are often influenced by uncertain demands due to the number of urgent patients, interarrivals and service times. Based on an exemplary case study, the advantages of the optimal appointment schedule on different performance criteria are shown by detailed stochastic simulations.
Indexed as
Identifiers
27000079What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.