ABSTRACT
The cost of building, renovating, and maintaining the physical healthcare environment is up to 6% of the total cost of providing healthcare. Despite being the fastest growing category of healthcare expenditure, few tools exist to understand the use of spatial clinical resources. Previous research in live healthcare environments demonstrated that Internet of Things (IoT) devices are effective in understanding patterns of occupancy in clinical spaces. Healthcare managers answering the question “are consult rooms well utilized?” require data beyond ‘occupied’ or ‘vacant’. Using the novel approach to clinical space management presented in this paper, understanding ‘how’ consult rooms are used is now possible. Proof-of-concept results are presented demonstrating the target consult room was predominantly either ‘well utilized’ (55%), ‘vacant’ (29%), or ‘intermittently used’ (14%) for the target period. Implications of undertaking technology research in live healthcare settings are discussed for academia and professional practice across multiple sectors.
- T. Teixeira, G. Dublon, and A. Savvides, “A Survey of Human-Sensing: Methods for Detecting Presence, Count, Location, Track, and Identity,” ACM Computing Surveys, vol. 5, pp. 1-35, 2010.Google Scholar
- Australian_Institute_of_Health_and_Welfare, "Health expenditure Australia 2020-21," AIHW, ed., Australian Government, 2021, p. 107.Google Scholar
- T. McNabb, T. Myers, K. Wicking, L. Lei, and W. Xiang, “Optimizing spatial healthcare assets with Internet of Things,” Health information science and systems, vol. 6, no. 1, pp. 11, 2018.Google Scholar
- T. McNabb, D. Kristin Wicking, A. P. Trina Myers, and D. Lei Lei, "Optimizing Clinical Spatial Resources with IoT." pp. 1-6.Google Scholar
- S. Chand, H. Moskowitz, J. B. Norris, S. Shade, and D. R. Willis, “Improving patient flow at an outpatient clinic: study of sources of variability and improvement factors,” Health care management science, vol. 12, no. 3, pp. 325-340, 2009.Google Scholar
- T. B. T. Nguyen, A. I. Sivakumar, and S. C. Graves, “A network flow approach for tactical resource planning in outpatient clinics,” Health Care Management Science, vol. 18, no. 2, pp. 124-136, 2015.Google ScholarCross Ref
- H. H. Haraldsson, “Improving Efficiency in Allocating Pediatric Ambulatory Care Clinics,” University of Washington, 2014.Google Scholar
- M. Hutchison, C. C. Dacso, D. Sabin, and A. Shaw, “Opportunities for Optimizing Resource Utilization in Ambulatory Academic Practices,” The Journal of Ambulatory Care Management, vol. 20, no. 2, pp. 61-69, 1997.Google ScholarCross Ref
- B. Liang, A. Turkcan, M. E. Ceyhan, and K. Stuart, “Improvement of chemotherapy patient flow and scheduling in an outpatient oncology clinic,” International Journal of Production Research, vol. 53, no. 24, pp. 7177-7190, 2015/12/17, 2014.Google ScholarCross Ref
- J. C. Chen, and T. J. Collins, “Creation of a RFID Based Real Time Tracking (R-RTT) System for Small Healthcare Clinics,” Journal of Medical Systems, vol. 36, no. 6, pp. 3851-3860, 2012.Google ScholarDigital Library
- Y. Chu, D. Mitra, Z. O'neill, and K. Cetin, “Influential variables impacting the reliability of building occupancy sensor systems: A systematic review and expert survey,” Science and Technology for the Built Environment, vol. 28, no. 2, pp. 200-220, 2022/02/07, 2022.Google ScholarCross Ref
- W. Yao, C. H. Chu, and Z. Li, "The adoption and implementation of RFID technologies in healthcare: A literature review," Journal of Medical Systems, 2012, pp. 3507-3525.Google ScholarDigital Library
- IEEE Journal on Selected Areas in Communications, Title 24, RFID security and privacy: A research survey, 2006, pp. 381-394.Google Scholar
- H. Guo, Z. Huang, J. Y. P. Yeo, Y. Wang, and A. Chow, “Psychosocial determinants of healthcare personnel's willingness to carry real-time locating system tags during daily inpatient care in hospital managing COVID-19 patients: insights from a mixed-methods analysis,” JAMIA open, vol. 4, no. 3, pp. ooaa072-ooaa072, 2021.Google Scholar
- M. J. Miller, D. M. Ferrin, T. Flynn, M. Ashby, K. P. White Jr, and M. G. Mauer, "Using RFID technologies to capture simulation data in a hospital emergency department." pp. 1365-1370.Google Scholar
- T. S. Prentow, A. J. Ruiz-Ruiz, H. Blunck, A. Stisen, and M. B. Kjærgaard, “Spatio-temporal facility utilization analysis from exhaustive WiFi monitoring,” Pervasive and Mobile Computing, vol. 16, pp. 305-316, 2015/01/01/, 2015.Google ScholarDigital Library
- J. A. Fisher, and T. Monahan, “Tracking the social dimensions of RFID systems in hospitals,” International journal of medical informatics, vol. 77, no. 3, pp. 176-183, 2008.Google Scholar
- S. T. Kouyoumdjieva, P. Danielis, and G. Karlsson, “Survey of Non-Image Based Approaches for Counting People,” IEEE Communications Surveys & Tutorials, pp. 1-1, 2019.Google Scholar
- B. B. Bhagat, and A. A. B. Raj, "Detection of Human Presence Using UWB Radar." pp. 1-6.Google Scholar
- T. van Groeningen, H. Driessen, J. Söhl, and R. Vôute, “An Ultrasonic Sensor For Human Presence Detection to Assist Rescue Work in Large Buildings,” ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, vol. IV-4/W7, pp. 135-140, 2018.Google ScholarCross Ref
- D. Qu, B. Yang, and N. Gu, “Indoor multiple human targets localization and tracking using thermopile sensor,” Infrared physics & technology, vol. 97, pp. 349-359, 2019.Google ScholarCross Ref
- A. D. Shetty, Disha, S. B, and S. K, "Detection and tracking of a human using the infrared thermopile array sensor - "Grid-EYE"." pp. 1490-1495.Google Scholar
- M. Kuki, H. Nakajima, N. Tsuchiya, and Y. Hata, "Human movement trajectory recording for home alone by thermopile array sensor." pp. 2042-2047.Google Scholar
- Australasian-Health-Infrastructure-Alliance. "Australasian Health Facility Guidelines (AusHFG)," 24-12-2018, 2018.Google Scholar
Index Terms
- Occupation versus Utilisation of Clinical Spaces Using Internet of Things Devices: Are Consult Rooms Well Utilised?
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