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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. 10.2% 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%
1.3k
per year above
Top-10% rate
10.2%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+15%
the tick is no change
Largest producer
United States
42% of the 10 largest, 2022-now
Healthcare Operations and Scheduling Optimization

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 (880 and 261 works in 2022-now).

By volume, 2022-now

  1. 1 United States 880 works
  2. 2 United Kingdom 261 works
  3. 3 China 214 works
  4. 4 India 190 works
  5. 5 Canada 122 works
  6. 6 Australia 90 works
  7. 7 Germany 89 works
  8. 8 Indonesia 84 works
  9. 9 Italy 82 works
  10. 10 France 80 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.

United States: 42.1%United Kingdom: 12.5%China: 10.2%India: 9.1%6 others listed: 26.1%42%largest
United States880 · 42.1%United Kingdom261 · 12.5%China214 · 10.2%India190 · 9.1%6 others listed547 · 26.1%

Shares of the rows listed above, not of the whole node.

Which institutions lead Healthcare Operations and Scheduling Optimization research?

By volume in 2022-now, Harvard University publishes the most Healthcare Operations and Scheduling Optimization research, followed by University of Toronto and University of Michigan.

By volume, 2022-now

  1. 1 Harvard UniversityUnited States 35 works
  2. 2 University of TorontoCanada 21 works
  3. 3 University of MichiganUnited States 17 works
  4. 4 Mayo ClinicUnited States 15 works
  5. 5 Johns Hopkins UniversityUnited States 14 works
  6. 6 University of North Carolina at Chapel HillUnited States 13 works
  7. 7 Stanford UniversityUnited States 13 works
  8. 8 Centre National de la Recherche ScientifiqueFrance 13 works
  9. 9 University College LondonUnited Kingdom 11 works
  10. 10 University of IowaUnited States 11 works

Who are the leading researchers in Healthcare Operations and Scheduling Optimization?

The most-cited researchers publishing on Healthcare Operations and Scheduling Optimization include Giuseppe Remuzzi, Martin McKee and Marcello A. Tonelli.

  1. 1 Giuseppe Remuzzi Italy 328k citations
  2. 2 Martin McKee United Kingdom 270k citations
  3. 3 Marcello A. Tonelli Canada 268k citations
  4. 4 Bach Xuan Tran Vietnam 263k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Healthcare Operations and Scheduling Optimization?

The most cited paper in Healthcare Operations and Scheduling Optimization is "An estimation of the global volume of surgery: a modelling strategy based on available data" (Thomas G. Weiser, Scott E. Regenbogen, Katherine D. Thompson et al., 2008), with 2,560 citations. Next come "Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties" (1,499) and "Operating room planning and scheduling: A literature review" (1,198).

Most cited papers
#PaperReleasedCitations
1 An estimation of the global volume of surgery: a modelling strategy based on available data Thomas G. Weiser, Scott E. Regenbogen, Katherine D. Thompson et al. · The Lancet 25 Jun 2008 2,560
2 Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties Christine A. Sinsky, Lacey Colligan, Ling Li et al. · Annals of Internal Medicine 5 Sep 2016 1,499
3 Operating room planning and scheduling: A literature review Brecht Cardoen, Erik L. Demeulemeester, Jeroen Beliën · European Journal of Operational Research Open access 25 Apr 2009 1,198
4 Principles of Good Practice for Decision Analytic Modeling in Health-Care Evaluation: Report of the ISPOR Task Force on Good Research Practices—Modeling Studies Milton C. Weinstein, Bernie J. OʼBrien, John M. Hornberger et al. · Value in Health Open access 2003 1,183
5 Mortality among Patients Admitted to Hospitals on Weekends as Compared with Weekdays Chaim M. Bell, Donald A. Redelmeier · New England Journal of Medicine Open access 30 Aug 2001 1,082
All 100 most cited papers, with filters and sorting

Where is Healthcare Operations and Scheduling Optimization research done?

The largest centres of Healthcare Operations and Scheduling Optimization research in 2022-now are London (United Kingdom), Boston (United States), Toronto (Canada) and Beijing (China).

Largest cities, 2022-now

  1. 1 LondonUnited Kingdom 67 works
  2. 2 BostonUnited States 41 works
  3. 3 TorontoCanada 32 works
  4. 4 BeijingChina 32 works
  5. 5 New YorkUnited States 30 works
  6. 6 ShanghaiChina 26 works
  7. 7 TehranIran 25 works
  8. 8 Los AngelesUnited States 21 works
  9. 9 ChennaiIndia 19 works
  10. 10 SingaporeSingapore 19 works
See Healthcare Operations and Scheduling Optimization on the map

Where is the best place to study Healthcare Operations and Scheduling Optimization?

Among universities, judged by research, Harvard University, University of Exeter and University of Toronto 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.

0%10%20%mean 12.6%fractional works in this field (log) →share of work in the world top 10% →Stanford UniversityUniversity of ExeterHarvard UniversityUniversity of Toronto
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Harvard UniversityUnited States 77.713.8%4.1×35 -5.7%
2University of ExeterUnited Kingdom 71.318.4%8.4×9 +34.8%
3University of TorontoCanada 62.610.8%3.9×21 +1.5%
4Stanford UniversityUnited States 61.218.7%3.3×13 -13.8%
5University College LondonUnited Kingdom 52.513.8%2.6×11 +6.8%
6University of IowaUnited States 51.415.3%8.3×11 -9.8%
7University of OttawaCanada 46.69.7%4.7×8 +13.8%
8Emory UniversityUnited States 46.28.2%4.3×9 +15.5%
9University of MichiganUnited States 45.69.4%4.2×17 -19.7%
10University of California, San FranciscoUnited States 41.57.9%4.6×9 +22.3%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Healthcare Operations and Scheduling Optimization, country by country

Is Healthcare Operations and Scheduling Optimization research growing?

Output in 2022-2025 was 15% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Healthcare Operations and Scheduling Optimization.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Healthcare Operations and Scheduling Optimization as a percentage of every work published that year, 0.012% in 2024.

still counting0.0050%0.010%0.015%Healthcare Operations and Scheduling Optimization0.013% in 202519801990200020102020

Fractional works of Healthcare Operations and Scheduling Optimization over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Healthcare Operations and Scheduling Optimization10.3% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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