Next Article in Journal
Indoor Autonomous Vehicle Navigation—A Feasibility Study Based on Infrared Technology
Next Article in Special Issue
Health Symptom Checking System for Elderly People Using Fuzzy Analytic Hierarchy Process
Previous Article in Journal
Design and Testing of a 2D Optical Fiber Sensor for Building Tilt Monitoring Based on Fiber Bragg Gratings
Article Menu
Issue 1 (March) cover image

Export Article

Open AccessFeature PaperArticle
Appl. Syst. Innov. 2018, 1(1), 3; https://doi.org/10.3390/asi1010003

Design, Implementation, and Field Testing of a Privacy-Aware Compliance Tracking System for Bedside Care in Nursing Homes

1
Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, USA
2
School of Health Sciences, Cleveland State University, Cleveland, OH 44115, USA
3
Department of Electrical and Computer Engineering, University of the District of Columbia, Washington, DC 20008, USA
*
Author to whom correspondence should be addressed.
Received: 29 November 2017 / Revised: 18 December 2017 / Accepted: 18 December 2017 / Published: 22 December 2017
(This article belongs to the Special Issue Healthcare System Innovation)
Full-Text   |   PDF [1525 KB, uploaded 22 December 2017]   |  

Abstract

Lower back musculoskeletal disorders are pervasive in workplaces. In the United States alone, the total cost of such injuries exceed $100 billion a year. The lower-back injury rate in the healthcare sector is one of the highest among all industry sectors. A main risk factor for lower-back injuries is the use of improper body mechanics when doing lifting and pulling activities. In healthcare venues, nursing homes in particular, nursing assistants are on the front line to take care of patients. Even in places where ceiling-mounted lifting equipment is installed, they are still required to handle the patient for bedside care, such as sliding the sling underneath the patient, scooping up the patient, putting on compression socks, etc. To help nursing assistants get into the habit of using proper body mechanics, we designed and implemented a privacy-aware compliance tracking system (PACTS). PACTS can track a nursing assistant for possible violation of proper body mechanics while doing bedside care and provide realtime feedback via a smart wearable device such as a smart watch worn by the nursing assistant. The system was deployed in a local nursing home for an 80-day field study in six rooms with seven participating nursing assistants. The test exposed several issues with the original design of the system. The primary issue is how to balance the privacy requirement and the usability of the system. Over-emphasizing the former would negatively impact the latter. This issue is partially resolved with a leasing mechanism where the system would automatically register a nursing assistant within the lease period once she or he has manually registered with the system. View Full-Text
Keywords: human activity tracking; microsoft kinect; smartwatch; smartphone; gesture recognition; human computer interaction human activity tracking; microsoft kinect; smartwatch; smartphone; gesture recognition; human computer interaction
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhao, W.; Wu, Q.; Reinthal, A.; Zhang, N. Design, Implementation, and Field Testing of a Privacy-Aware Compliance Tracking System for Bedside Care in Nursing Homes. Appl. Syst. Innov. 2018, 1, 3.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Syst. Innov. EISSN 2571-5577 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top