Optimizing spatial healthcare assets with Internet of Things

McNabb, Timothy, Myers, Trina, Wicking, Kristin, Lei, Lei, and Xiang, Wei (2018) Optimizing spatial healthcare assets with Internet of Things. Health Information Science and Systems, 6. 11.

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Abstract

Six percent of the total cost of healthcare delivery in Australia is from buying, building and maintaining physical assets. Current practice does not measure the efficient use of existing clinical spaces prior to making funding decisions for service expansion, remodeling or relocation. Healthcare service delivery can be increased through existing assets by optimizing the use of clinical space. The wait times for healthcare service consumers and capital expenditure pressures could be reduced, which would result in increased funds available for frontline services. Sensor technology has been used to study aspects of time in ambulatory outpatient clinics using Infra-red Tags or Radio Frequency Identification tags. This paper proposes the use of Internet of Things (IoT) technology to assist in the optimization of high-value clinical spaces and presents phase one of the project where a trial was held in a non-clinical location to evaluate sensor performance. In Phase two, sensors will be installed to count people across an ambulatory outpatient clinic in a live public healthcare environment to understand clinical space utilization and inform decision-makers. The data produced by the sensors on room use is processed for visualization in “dashboard” format so frontline and executive staff have evidence-based decision-making support for space optimization strategies. This paper presents the phase one trial and preliminary results that show the disparity space utilization patterns between the IoT sensed occupancy data with the current room reservation system in a non-clinical space.

Item ID: 55642
Item Type: Article (Research - C1)
ISSN: 2047-2501
Keywords: Internet of Things; healthcare resource utilization; optimization; people counting; ambulatory outpatient clinic;
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Funders: Townsville Hospital and Health Service (THHS)
Projects and Grants: TTHS Study, Education and Research Trust
Date Deposited: 20 Sep 2018 02:44
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080105 Expert Systems @ 30%
09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells @ 30%
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111709 Health Care Administration @ 40%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 50%
97 EXPANDING KNOWLEDGE > 970111 Expanding Knowledge in the Medical and Health Sciences @ 50%
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