Hospital Robot Dispatch with Human Support: Raw Simulation Outputs (Freiburg Transport Requests)

This dataset contains the raw outputs of a discrete event simulation study of hospital robot dispatch, together with the frozen experiment designs, calibration logs, and summary analyses. The simulation replays 33,079 recorded transport requests from the University Medical Center Freiburg (https://doi.org/10.5281/zenodo.19085901). It compares human transport with robot dispatch rules for missions that need staff to load, receive or clean. The main experiment covers 18 conditions, made of three staff arrangements, three levels of staff unavailability and two reporting delays, with 20 paired seeds each. Additional phases include random admission controls at matched robot coverage, a staff time front, an optimizer volume control, a threshold rule compared at equal coverage, exploratory operating scenarios and a warm-up check. The record holds 21,887 run files (one JSON file per run) in eleven archives, plus SHA256 checksums. The simulation code is available at https://github.com/siwekk/hospital-robot-staff-support. With the code, the data reproduce every table and figure of the accompanying article. Task classes, deadlines, service times and staffing are model assumptions, so the results do not estimate clinical benefit or staffing needs at Freiburg.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24056429
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
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article

Hospital Robot Dispatch with Human Support: Raw Simulation Outputs (Freiburg Transport Requests)

Krzysztof Siwek, Aleksandra Kawala‐Sterniuk
Zenodo (CERN European Organization for Nuclear Research)
Healthcare Operations and Scheduling Optimization
article

Hospital Robot Dispatch with Human Support: Raw Simulation Outputs (Freiburg Transport Requests)

Krzysztof Siwek, Aleksandra Kawala‐Sterniuk
article en

Abstract

This dataset contains the raw outputs of a discrete event simulation study of hospital robot dispatch, together with the frozen experiment designs, calibration logs, and summary analyses. The simulation replays 33,079 recorded transport requests from the University Medical Center Freiburg (https://doi.org/10.5281/zenodo.19085901). It compares human transport with robot dispatch rules for missions that need staff to load, receive or clean. The main experiment covers 18 conditions, made of three staff arrangements, three levels of staff unavailability and two reporting delays, with 20 paired seeds each. Additional phases include random admission controls at matched robot coverage, a staff time front, an optimizer volume control, a threshold rule compared at equal coverage, exploratory operating scenarios and a warm-up check. The record holds 21,887 run files (one JSON file per run) in eleven archives, plus SHA256 checksums. The simulation code is available at https://github.com/siwekk/hospital-robot-staff-support. With the code, the data reproduce every table and figure of the accompanying article. Task classes, deadlines, service times and staffing are model assumptions, so the results do not estimate clinical benefit or staffing needs at Freiburg.

Zenodo (CERN European Organization for Nuclear Research)
Warsaw University of Technology (PL), Poznań University of Technology (PL)
Healthcare Operations and Scheduling Optimization
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