ReviewHealth and technology2021
Healthcare scheduling in optimization context: a review.
Review in Health and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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
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.
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Who cites it
22 citing papers in PubMed, 182 citations in OpenAlex.
- Evaluation of an AI-Based Constraint-Optimization Scheduler to Optimize On-Call Schedule Equity and Reduce Administrative Burden in a Pediatric Residency: Retrospective Comparative Study.Journal of medical Internet research · 2026Article
- Behavior-aware deep reinforcement learning for multi-objective outpatient scheduling optimization.Scientific reports · 2026Article
- Optimizing Daily Surgical Scheduling Improves Operative Time Consumption: A Retrospective Study.Arthroplasty today · 2026Article
- Impact of the Federated Data Platform's digital surgery scheduling system on elective theatre utilisation at an NHS Trust: an interrupted time series analysis.BMJ health & care informatics · 2026Article
- Evaluating Bio-Inspired Metaheuristics for Dynamic Surgical Scheduling: A Resilient Three-Stage Flow Shop Model Under Stochastic Emergency Arrivals.Biomimetics (Basel, Switzerland) · 2026Article
- Artificial intelligence readiness and its relationship with thriving at work among Chinese nurses: a latent profile analysis.Frontiers in public health · 2026Article
- A scenario-driven simulation approach to sustainable hospital resource management: aging society, pandemic preparedness and referral enhancement.BMC health services research · 2025Article
- Impact of digital surgery scheduling systems on the quality of preoperative care: a systematic review protocol.BMJ open · 2025Article
- Integrating Nurse Preferences Into AI-Based Scheduling Systems: Qualitative Study.JMIR formative research · 2025Article
- e-Health Strategy for Surgical Prioritization: A Methodology Based on Digital Twins and Reinforcement Learning.Bioengineering (Basel, Switzerland) · 2025Article
- General Practitioners' Perceptions of Patient Involvement-An Interview Study.Journal of evaluation in clinical practice · 2025Article
- The integration of AI in nursing: addressing current applications, challenges, and future directions.Frontiers in medicine · 2025Review
- Exploring the Landscape of Operating Room Scheduling: A Bibliometric Analysis of Recent Advancements and Future Prospects.Biomedical engineering and computational biology · 2025Review
- Telemedicine appointments are more likely to be completed than in-person healthcare appointments: a retrospective cohort study.JAMIA open · 2024Article
- Factors Contributing to Postoperative Radiotherapy Delays in Head and Neck Cancer: A Comprehensive Review.Cureus · 2024Review
- Home health care nurse routing and scheduling problem considering ergonomic risk factors.Heliyon · 2024Article
- An application of computable biomedical knowledge to transform patient centered scheduling.Learning health systems · 2023Article
- Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study.Journal of business research · 2023Article
- Operations Research to Solve Kidney Allocation Problems: A Systematic Review.Healthcare (Basel, Switzerland) · 2023Review
- Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities.BMC health services research · 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
5 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper offers a summary of the latest studies on healthcare scheduling problems including patients' admission scheduling problem, nurse scheduling problem, operation room scheduling problem, surgery scheduling problem and other healthcare scheduling problems. The paper provides a comprehensive survey on healthcare scheduling focuses on the recent literature. The development of healthcare scheduling research plays a critical role in optimizing costs and improving the patient flow, providing prompt administration of treatment, and the optimal use of the resources provided and accessible in the hospitals. In the last decades, the healthcare scheduling methods that aim to automate the search for optimal resource management in hospitals by using metaheuristics methods have proliferated. However, the reported results are disintegrated since they solved every specific problem independently, given that there are many versions of problem definition and various data sets available for each of these problems. Therefore, this paper integrates the existing results by performing a comprehensive review and analyzing 190 articles based on four essential components in solving optimization problems: problem definition, formulations, data sets, and methods. This paper summarizes the latest healthcare scheduling problems focusing on patients' admission scheduling problems, nurse scheduling problems, and operation room scheduling problems considering these are the most common issues found in the literature. Furthermore, this review aims to help researchers to highlight some development from the most recent papers and grasp the new trends for future directions.
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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.