Evidence map›Paper›PMID 38696030›Full record

ArticleHealth care management science2024

Leveraging the potential of the German operating room benchmarking initiative for planning: A ready-to-use surgical process data set.

Grigory Korzhenevich, Anne Zander

Abstract read
In one paragraph

Article in Health care management science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Grigory KorzhenevichInstitute for Operations Research, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Anne Zander *Center for Healthcare Operations Improvement and Research, University of Twente, Enschede, The Netherlands. a.b.zander@utwente.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a freely available data set of surgical case mixes and surgery process duration distributions based on processed data from the German Operating Room Benchmarking initiative. This initiative collects surgical process data from over 320 German, Austrian, and Swiss hospitals. The data exhibits high levels of quantity, quality, standardization, and multi-dimensionality, making it especially valuable for operating room planning in Operations Research. We consider detailed steps of the perioperative process and group the data with respect to the hospital's level of care, the surgery specialty, and the type of surgery patient. We compare case mixes for different subgroups and conclude that they differ significantly, demonstrating that it is necessary to test operating room planning methods in different settings, e.g., using data sets like ours. Further, we discuss limitations and future research directions. Finally, we encourage the extension and foundation of new operating room benchmarking initiatives and their usage for operating room planning.

Indexed as

BenchmarkingOperating RoomsDiagnosis-Related GroupsGermanyHumansSurgical Procedures, OperativeSwitzerlandData analysisGerman Perioperative Procedural Time GlossaryOperating Room Benchmarking InitiativeOperating Room PlanningOperations ResearchSurgical Process Data

Identifiers

PMID38696030
PMCPMC11461674

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LicenceCC BY
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Registered trials

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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.