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TILES-2019:重症监护病房住院医师的纵向生理和行为数据集。

TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit.

机构信息

Signal Analysis and Interpretation Lab, University of Southern California, Los Angeles, CA, USA.

Information Sciences Institute (USC), Marina del Rey, CA, USA.

出版信息

Sci Data. 2022 Sep 1;9(1):536. doi: 10.1038/s41597-022-01636-4.

Abstract

The TILES-2019 data set consists of behavioral and physiological data gathered from 57 medical residents (i.e., trainees) working in an intensive care unit (ICU) in the United States. The data set allows for the exploration of longitudinal changes in well-being, teamwork, and job performance in a demanding environment, as residents worked in the ICU for three weeks. Residents wore a Fitbit, a Bluetooth-based proximity sensor, and an audio-feature recorder. They completed daily surveys and interviews at the beginning and end of their rotation. In addition, we collected data from environmental sensors (i.e., Internet-of-Things Bluetooth data hubs) and obtained hospital records (e.g., patient census) and residents' job evaluations. This data set may be may be of interest to researchers interested in workplace stress, group dynamics, social support, the physical and psychological effects of witnessing patient deaths, predicting survey data from sensors, and privacy-aware and privacy-preserving machine learning. Notably, a small subset of the data was collected during the first wave of the COVID-19 pandemic.

摘要

TILES-2019 数据集包含在美国一家重症监护病房(ICU)工作的 57 名住院医师(即受训者)的行为和生理数据。该数据集允许探索在充满挑战的环境中,住院医师在 ICU 工作三周期间幸福感、团队合作和工作表现的纵向变化。住院医师佩戴了 Fitbit、蓝牙接近传感器和音频功能记录器。他们在轮班开始和结束时完成了每日调查和访谈。此外,我们还从环境传感器(即物联网蓝牙数据中心)收集了数据,并获得了医院记录(例如,患者普查)和住院医师的工作评估。对研究工作场所压力、群体动态、社会支持、目睹患者死亡的身心影响、从传感器预测调查数据以及隐私意识和隐私保护机器学习感兴趣的研究人员可能对这个数据集感兴趣。值得注意的是,一小部分数据是在 COVID-19 大流行的第一波期间收集的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2915/9437033/f30300fe2624/41597_2022_1636_Fig1_HTML.jpg

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