Healthcare Operations and Scheduling Optimization
Healthcare Operations and Scheduling Optimization is a research topic within Emergency Medical Services. Science Explorer counts 13k research works in it since 1951. 19.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the planning and scheduling of operating rooms in healthcare settings, with an emphasis on optimizing appointment scheduling, improving efficiency, managing patient flow, addressing no-shows, and utilizing simulation for decision-making. The research covers a wide range of topics related to operating room management and aims to enhance the overall effectiveness of healthcare delivery.
- Operating Room
- Scheduling
- Healthcare
- Appointment
- Simulation
- Efficiency
- Patient Flow
- No-Show
- Optimization
- Emergency Department
- Research works
- 13k fractional, since 1951
- In the world top 10%
- 2.6k per year above
- Top-10% rate
- 19.8% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +18% the tick is no change
This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.
Which countries lead Healthcare Operations and Scheduling Optimization research?
By volume, the United States and the United Kingdom publish the most (729 and 223 works in 2022–2025).
By volume, 2022–2025
- 1 United States 729 works
- 2 United Kingdom 223 works
- 3 China 162 works
- 4 India 156 works
- 5 Canada 104 works
- 6 Australia 75 works
- 7 Indonesia 70 works
- 8 France 70 works
- 9 Germany 69 works
- 10 Italy 66 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Healthcare Operations and Scheduling Optimization research?
By volume in 2022–2025, University of Michigan publishes the most Healthcare Operations and Scheduling Optimization research, followed by University of Toronto and Harvard University.
By volume, 2022–2025
- 1 University of MichiganUnited States 13 works
- 2 University of TorontoCanada 11 works
- 3 Harvard UniversityUnited States 10 works
- 4 University of IowaUnited States 8 works
- 5 University of North Carolina at Chapel HillUnited States 8 works
- 6 University of ExeterUnited Kingdom 8 works
- 7 Stanford UniversityUnited States 8 works
- 8 University of MiamiUnited States 8 works
- 9 Johns Hopkins UniversityUnited States 7 works
- 10 University of IndonesiaIndonesia 7 works
Where is Healthcare Operations and Scheduling Optimization research done?
The largest centres of Healthcare Operations and Scheduling Optimization research in 2022–2025 are London (United Kingdom), Boston (United States), Toronto (Canada) and New York (United States).
Largest cities, 2022–2025
Where is the best place to study Healthcare Operations and Scheduling Optimization?
Among universities, judged by research, Harvard University, University of Michigan and University of Iowa score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Harvard UniversityUnited States | 65.2 | 23.3% | 3.4× | 10 | +31.1% |
| 2 | University of MichiganUnited States | 49.5 | 21.5% | 3.9× | 13 | +26.8% |
| 3 | University of IowaUnited States | 40.0 | 18.9% | 8.0× | 8 | +31.2% |
| 4 | University of TorontoCanada | 26.7 | 19.4% | 3.2× | 11 | +23.0% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Healthcare Operations and Scheduling Optimization research growing?
Output in 2018–2022 was 18% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Healthcare Operations and Scheduling Optimization.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.