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International Journal of Computer Assisted Radiology and Surgery

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01-02-2017 | Original Article

Online time and resource management based on surgical workflow time series analysis

Authors: M. Maktabi, T. Neumuth

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 2/2017

Abstract

Purpose

Hospitals’ effectiveness and efficiency can be enhanced by automating the resource and time management of the most cost-intensive unit in the hospital: the operating room (OR). The key elements required for the ideal organization of hospital staff and technical resources (such as instruments in the OR) are an exact online forecast of both the surgeon’s resource usage and the remaining intervention time.

Methods

This paper presents a novel online approach relying on time series analysis and the application of a linear time-variant system. We calculated the power spectral density and the spectrogram of surgical perspectives (e.g., used instrument) of interest to compare several surgical workflows.

Results

Considering only the use of the surgeon’s right hand during an intervention, we were able to predict the remaining intervention time online with an error of 21 min 45 s ±9 min 59 s for lumbar discectomy. Furthermore, the performance of forecasting of technical resource usage in the next 20 min was calculated for a combination of spectral analysis and the application of a linear time-variant system (sensitivity: 74 %; specificity: 75 %) focusing on just the use of surgeon’s instrument in question.

Conclusion

The outstanding benefit of these methods is that the automated recording of surgical workflows has minimal impact during interventions since the whole set of surgical perspectives need not be recorded. The resulting predictions can help various stakeholders such as OR staff and hospital technicians. Moreover, reducing resource conflicts could well improve patient care.

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Title: Online time and resource management based on surgical workflow time series analysis
Authors: M. Maktabi
T. Neumuth
Publication date: 01-02-2017
Publisher: Springer International Publishing
Published in: International Journal of Computer Assisted Radiology and Surgery / Issue 2/2017
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-016-1474-4

At a glance: The STEP trials

Springer Medicine

Online time and resource management based on surgical workflow time series analysis

Abstract

Purpose

Methods

Results

Conclusion

At a glance: The STEP trials

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

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