Cleaned Ping-level Wireless Sensor Data from the University of Utah from the CDC-funded Granular Modeling Project

The objective of using the wireless sensors was to improve understanding of the heterogeneity of healthcare worker (HCW) contact with patients and the physical environment in patients' rooms. The framework and design were based on contact networks with a) nodes defined by HCW's, rooms, and items in the room and b) edges defined by HCW's in the room, near the bed, and touching items. Nodes had characteristics of HCW role and room number. Edges had characteristics of day, start time, and duration. Thus, patterns and heterogeneity could be understood within contexts of time, space, roles, and patient characteristics. At the University of Utah Hospital Cardiovascular ICU (CVICU), a 20-bed unit, we collected data for 54 days. HCW contact with patients was measured using wireless sensors to capture time spent in patient rooms as well as time spent near the patient bed. HCW contact with the physical environment was measured using wireless sensors on the following items in patient rooms: door, sink, toilet, over-bed table, keyboard, vital signs monitor touchscreen, and cart. HCW's clipped a sensor to their clothing or lanyard. This dataset contains cleaned sensor pings of RFD reads between healthcare worker worn sensors and environmental sensors placed in facility using methods described in the "Data Cleaning Steps" section.

Data and Resources

Field Value
Contact Email michael.rubin@hsc.utah.edu
DOI 10.7278/S50d-twbh-955q
Date Created 2018-01-01; 2018-12-31
Funding Centers for Disease Control and Prevention
Hive Date Modified 2026-07-20T20:17:28.641641+00:00
Hive Date Uploaded 2026-06-19T00:41:04.185740+00:00
Languages English
License Creative Commons Attribution Non Commercial 3.0 Unported (https://creativecommons.org/licenses/by-nc/3.0/)
Old Hive ID bc386j29t
Parent ID 1b5w2-h0s18
Publication Date 2023-12-26
Publisher The Hive: University of Utah Research Data Repository
Resource Type Dataset
Resource URL https://hive.utah.edu/records/1b5w2-h0s18
Subjects cardiology
Version 1
ndp_creator_md5 c28ceb2036e404504d019148adef79c9
ndp_group_id J. Willard Marriott Library
ndp_user_id 3383da5ae47ae984
Groups
  • NSF
  • United States
Tags
  • NSF
  • United States
  • cardiology
isopen True
license_id other-open
license_title Other (Open)
metadata_created 2026-10-30T17:36:58.675329
metadata_modified 2026-10-30T17:36:58.675333
notes The objective of using the wireless sensors was to improve understanding of the heterogeneity of healthcare worker (HCW) contact with patients and the physical environment in patients' rooms. The framework and design were based on contact networks with a) nodes defined by HCW's, rooms, and items in the room and b) edges defined by HCW's in the room, near the bed, and touching items. Nodes had characteristics of HCW role and room number. Edges had characteristics of day, start time, and duration. Thus, patterns and heterogeneity could be understood within contexts of time, space, roles, and patient characteristics. At the University of Utah Hospital Cardiovascular ICU (CVICU), a 20-bed unit, we collected data for 54 days. HCW contact with patients was measured using wireless sensors to capture time spent in patient rooms as well as time spent near the patient bed. HCW contact with the physical environment was measured using wireless sensors on the following items in patient rooms: door, sink, toilet, over-bed table, keyboard, vital signs monitor touchscreen, and cart. HCW's clipped a sensor to their clothing or lanyard. This dataset contains cleaned sensor pings of RFD reads between healthcare worker worn sensors and environmental sensors placed in facility using methods described in the "Data Cleaning Steps" section.
num_resources 2
num_tags 3
title Cleaned Ping-level Wireless Sensor Data from the University of Utah from the CDC-funded Granular Modeling Project