ReviewJournal of healthcare engineering2022
Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review.
Review in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.
- Access improvement in healthcare: a 12-step framework for operational practice.Frontiers in health services · 2024Pooled it
- How to adjust the expected waiting time to improve patient's satisfaction?BMC health services research · 2023Trial
- Family Medicine in Gulf Cooperation Council Countries: Perspectives, Directions, and Future Opportunities; A Narrative Review.Healthcare (Basel, Switzerland) · 2026Review
- Radiology appointment management in German hospitals: a survey of referring physicians.Insights into imaging · 2026Article
- Lessons learned from a sustained mobile prenatal care delivery program: results from a mixed-methods evaluation to understand appointment attendance and patient satisfaction.BMC pregnancy and childbirth · 2026Article
- Analysis of the anti-scalping mechanism of hospital appointment registration based on Bayesian theory.Frontiers in public health · 2026Article
- Hybrid modelling using simulation and machine learning in healthcare.Computers & operations research · 2026Review
- Perceived barriers to timely diagnosis among Iranian women diagnosed with advanced breast cancer: a qualitative study.BMJ open · 2025Article
- Enhancing Pediatric Outpatient Medical Services Through the Implementation of the Smart Well Child Center Application.Healthcare (Basel, Switzerland) · 2025Article
- e-Health Strategy for Surgical Prioritization: A Methodology Based on Digital Twins and Reinforcement Learning.Bioengineering (Basel, Switzerland) · 2025Article
- The fixel GI Parkinson's research and integrated support model (PRISM).Journal of Parkinson's disease · 2025Article
- Optimizing physical education schedules for long-term health benefits.Frontiers in public health · 2025Article
- How do Chinese people perceive their healthcare system? Inequality in public satisfaction with healthcare security.Frontiers in public health · 2025Article
- Design of an ultrasound appointment system based on a patient-centered real-time dynamic resource allocation strategy.Frontiers in public health · 2025Article
- An adaptive decision support system for outpatient appointment scheduling with heterogeneous service times.Scientific reports · 2024Article
- A Study on Decision-Making for Improving Service Efficiency in Hospitals.Healthcare (Basel, Switzerland) · 2024Article
- Article
- A comparative analysis of outpatient nutrition clinic scheduling outcomes based on in-person and telehealth patient care delivery modalities.Healthcare analytics (New York, N.Y.) · 2023Article
- The Effect of Mobile Payment on Payment Waiting Time for Outpatients With Medical Insurance: Historically Controlled Study.JMIR formative research · 2023Article
- Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning methods.Computers in biology and medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper provides a comprehensive review of Appointment Scheduling (AS) in healthcare service while we propose appointment scheduling problems and various applications and solution approaches in healthcare systems. For this purpose, more than 150 scientific papers are critically reviewed. The literature and the articles are categorized based on several problem specifications, i.e., the flow of patients, patient preferences, and random arrival time and service. Several methods have been proposed to shorten the patient waiting time resulting in the shortest idle times in healthcare centers. Among existing modeling such as simulation models, mathematical optimization techniques, Markov chain, and artificial intelligence are the most practical approaches to optimizing or improving patient satisfaction in healthcare centers. In this study, various criteria are selected for structuring the recent literature dealing with outpatient scheduling problems at the strategic, tactical, or operational levels. Based on the review papers, some new overviews, problem settings, and hybrid modeling approaches are highlighted.
Indexed as
Identifiers
What 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.