TILES-2019: A Longitudinal Physiologic and Behavioral Data Set of Medical Residents in an Intensive Care Unit

Yau, Joanna C.; Girault, Benjamin; Feng, Tiantian; Mundnich, Karel; Nadarajan, Amrutha; Booth, Brandon M.; Ferrara, Emilio; Lerman, Kristina; Hsieh, Eric; Narayanan, Shrikanth

TILES-2019: A Longitudinal Physiologic and Behavioral Data Set of Medical Residents in an Intensive Care Unit

Yau, Joanna C.; Girault, Benjamin; Feng, Tiantian; Mundnich, Karel; Nadarajan, Amrutha; Booth, Brandon M.; Ferrara, Emilio; Lerman, Kristina; Hsieh, Eric; Narayanan, Shrikanth

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.

View Resource
Scientific Data
2022
Profession(s)
Physicians
Topic(s)
Burnout
Mental Health
Resource Types
Peer-Reviewed Research
Study Type(s)
Nonexperimental / Observational Study
Action Strategy Area(s)
Physical & Mental Health
Worker & Learner Engagement
Setting(s)
Academic
Hospital
Academic Role(s)
Residents and Fellows