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Data from: Research and exploratory analysis driven - time-data visualization (read-tv) software

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Jan 30, 2022 version files 24.85 KB

Abstract

read-tv

The main paper is about, read-tv, open-source software for longitudinal data visualization. We uploaded sample use case surgical flow disruption data to highlight read-tv's capabilities. We scrubbed the data of protected health information, and uploaded it as a single CSV file. A description of the original data is described below.

Data source

Surgical workflow disruptions, defined as “deviations from the natural progression of an operation thereby potentially compromising the efficiency or safety of care”, provide a window on the systems of work through which it is possible to analyze mismatches between the work demands and the ability of the people to deliver the work. They have been shown to be sensitive to different intraoperative technologies, surgical errors, surgical experience, room layout, checklist implementation and the effectiveness of the supporting team. The significance of flow disruptions lies in their ability to provide a hitherto unavailable perspective on the quality and efficiency of the system. This allows for a systematic, quantitative and replicable assessment of risks in surgical systems, evaluation of interventions to address them, and assessment of the role that technology plays in exacerbation or mitigation.

In 2014, Drs Catchpole and Anger were awarded NIBIB R03 EB017447 to investigate flow disruptions in Robotic Surgery which has resulted in the detailed, multi-level analysis of over 4,000 flow disruptions. Direct observation of 89 RAS (robitic assisted surgery) cases, found a mean of 9.62 flow disruptions per hour, which varies across different surgical phases, predominantly caused by coordination, communication, equipment, and training problems.