skip to main content
10.1145/3608298.3608355acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicmhiConference Proceedingsconference-collections
research-article

Occupation versus Utilisation of Clinical Spaces Using Internet of Things Devices: Are Consult Rooms Well Utilised?

Published:18 October 2023Publication History

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.

References

  1. 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 ScholarGoogle Scholar
  2. Australian_Institute_of_Health_and_Welfare, "Health expenditure Australia 2020-21," AIHW, ed., Australian Government, 2021, p. 107.Google ScholarGoogle Scholar
  3. 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 ScholarGoogle Scholar
  4. T. McNabb, D. Kristin Wicking, A. P. Trina Myers, and D. Lei Lei, "Optimizing Clinical Spatial Resources with IoT." pp. 1-6.Google ScholarGoogle Scholar
  5. 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 ScholarGoogle Scholar
  6. 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 ScholarGoogle ScholarCross RefCross Ref
  7. H. H. Haraldsson, “Improving Efficiency in Allocating Pediatric Ambulatory Care Clinics,” University of Washington, 2014.Google ScholarGoogle Scholar
  8. 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 ScholarGoogle ScholarCross RefCross Ref
  9. 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 ScholarGoogle ScholarCross RefCross Ref
  10. 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 ScholarGoogle ScholarDigital LibraryDigital Library
  11. 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 ScholarGoogle ScholarCross RefCross Ref
  12. 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 ScholarGoogle ScholarDigital LibraryDigital Library
  13. IEEE Journal on Selected Areas in Communications, Title 24, RFID security and privacy: A research survey, 2006, pp. 381-394.Google ScholarGoogle Scholar
  14. 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 ScholarGoogle Scholar
  15. 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 ScholarGoogle Scholar
  16. 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 ScholarGoogle ScholarDigital LibraryDigital Library
  17. 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 ScholarGoogle Scholar
  18. 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 ScholarGoogle Scholar
  19. B. B. Bhagat, and A. A. B. Raj, "Detection of Human Presence Using UWB Radar." pp. 1-6.Google ScholarGoogle Scholar
  20. 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 ScholarGoogle ScholarCross RefCross Ref
  21. 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 ScholarGoogle ScholarCross RefCross Ref
  22. 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 ScholarGoogle Scholar
  23. M. Kuki, H. Nakajima, N. Tsuchiya, and Y. Hata, "Human movement trajectory recording for home alone by thermopile array sensor." pp. 2042-2047.Google ScholarGoogle Scholar
  24. Australasian-Health-Infrastructure-Alliance. "Australasian Health Facility Guidelines (AusHFG)," 24-12-2018, 2018.Google ScholarGoogle Scholar

Index Terms

  1. Occupation versus Utilisation of Clinical Spaces Using Internet of Things Devices: Are Consult Rooms Well Utilised?

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Other conferences
          ICMHI '23: Proceedings of the 2023 7th International Conference on Medical and Health Informatics
          May 2023
          386 pages
          ISBN:9798400700712
          DOI:10.1145/3608298

          Copyright © 2023 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 18 October 2023

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
          • Research
          • Refereed limited
        • Article Metrics

          • Downloads (Last 12 months)21
          • Downloads (Last 6 weeks)1

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format .

        View HTML Format