Using Knowledge Management and Visualisation Concepts to Improve Patients and Hospitals Staff Workflow
This paper focuses on using knowledge management and visualisation concepts to improve the patients and hospitals employee’s workflow. Hospitals workflow is a complex and complicated process and poor patient flow can put both patients and a hospital’s reputation at risk, and can threaten the facility’s financial sustainability. Healthcare leaders are under increased pressure to reduce costs while maintaining or increasing patient care standards. In this paper, a framework is proposed to help improving patient experience, staff satisfaction, and operational efficiency across hospitals by using knowledge management based visualisation concepts. This framework is using real-time visibility to track and monitor location and status of patients, staff, rooms, and medical equipment.
[1] AlYami, A., Atkins, A.S. & Campion, R. (2016). Performance Improvement in Hospital Management using RFID and ZigBee Technologies for Tracking and Monitoring Patients and Assets in Saudi Arabia. International Journal of Management and Applied Science. (Online). 2 (9). p.pp. 66–69.
[2] Alyami, A., Anthony, A., & Campion, R. (2016). Tracking and Monitoring Patients and Assets in Saudi Arabia’ Healthcare Environment. In 9th IADIS International Conference on Information Systems 2016(pp. 1–6). Vilamoura, Portugal.
[3] Cash, P., Stanković, T. & Štorga, M. (2014). Using visual information analysis to explore complex patterns in the activity of designers. Design Studies. 35 (1). p.pp. 1–28.
[4] Chen, M., Ebert, D., Hagen, H., Laramee, R.S., Van Liere, R., Ma, K.-L., Ribarsky, W., Scheuermann, G. & Silver, D. (2009). Data, Information, and Knowledge in Visualization. Computer Graphics and Applications, IEEE. 29 (1). p.pp. 12–19.
[5] Chittaro, L. (2006). Visualizing information on mobile devices. Computer. (Online). 39 (3) p.pp. 40–45. Available from: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1607948&url=http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1607948.
[6] Cillis, F. De, Simio, F. De, Faramondi, L., Inderst, F., Pascucci, F. & Setola, R. (2014). Indoor Positioning System using Walking Pattern Classification. Proceedings of the 22nd Mediterranean Conference on Control and Automation (MED). p.pp. 511–516.
[7] Haddud, A., Dugger, J.C. & Lee, H. (2015). Manufacturing Control, Asset Tracking, and Asset Maintenance: Assessing the...: EBSCOhost. Journal of International Technology and Information Management. (Online). 24 (2). Available from: http://scholarworks.lib.csusb.edu/jitim%5Cnhttp://scholarworks.lib.csusb.edu/jitim/vol24/iss2/3%5Cnhttp://web.ebscohost.com.bscdirekt.han.ub.fau.de/ehost/pdfviewer/pdfviewer?vid=8&sid=4503be00-2c48-4ff5-b77c-04991e9c541e@sessionmgr120&hid=102.
[8] Hendriks, P.H. & Vriens, D.J. (1999). Knowledge-based systems and knowledge management: Friends or foes? Information & Management. 35 (2). p.pp. 113–125.
[9] Hui, F.C.P., Chan, H.C.B. & Fung, S.H. (2014). RFID - based Location Tracking System Using a Peer - to - Peer Network Architecture. I. p.pp. 1–5.
[10] Kay, J. (2009). A test-first view of usability. Interacting with Computers. 21 (5–6). p.pp. 347–349.
[11] Khan, M. & Khan, S. (2011). Data and information visualization methods, and interactive mechanisms: A survey. International Journal of Computer Applications. 34 (1). p.pp. 1-14.
[12] Liao, S. (2002). Problem solving and knowledge inertia. Expert Systems with Applications. 22 (1). p.pp. 21–31.
[13] Mahapatra, H.B. (2015). Selection of Software Development Methodology (SDM): A Comparative Approach. International Journal of Advanced Research in Computer Science and Software Engineering. 5 (3). p.pp. 58-61.
[14] McLean, L. (2004). A Review and Critique of Nonaka and Takeuchi’s Theory of Organizational Knowledge Creation. Paper presented at the Fifth International Conference on HRD Research and Practice across Europe by AHRD and UFHRD.
[15] Nonaka, I. & Takeuchi, H. (1995). The Knowledge-Creating Company.
[16] Popowycz, S. (2012). Visualizing Healthcare Data. (2012).
[17] Qian, C., Sun, X., Wei, Y., Tang, X. & Sun, J. (2014). Realtime and robust hand tracking from depth. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2014, pp. 1106-1113.
[18] Zaidi, J. (2017). Data Value Pyramid - A Framework for Investing in Data and Analytics to Generate Tangible Business Value. p.pp. 1-5.
[1] AlYami, A., Atkins, A.S. & Campion, R. (2016). Performance Improvement in Hospital Management using RFID and ZigBee Technologies for Tracking and Monitoring Patients and Assets in Saudi Arabia. International Journal of Management and Applied Science. (Online). 2 (9). p.pp. 66–69.
[2] Alyami, A., Anthony, A., & Campion, R. (2016). Tracking and Monitoring Patients and Assets in Saudi Arabia’ Healthcare Environment. In 9th IADIS International Conference on Information Systems 2016(pp. 1–6). Vilamoura, Portugal.
[3] Cash, P., Stanković, T. & Štorga, M. (2014). Using visual information analysis to explore complex patterns in the activity of designers. Design Studies. 35 (1). p.pp. 1–28.
[4] Chen, M., Ebert, D., Hagen, H., Laramee, R.S., Van Liere, R., Ma, K.-L., Ribarsky, W., Scheuermann, G. & Silver, D. (2009). Data, Information, and Knowledge in Visualization. Computer Graphics and Applications, IEEE. 29 (1). p.pp. 12–19.
[5] Chittaro, L. (2006). Visualizing information on mobile devices. Computer. (Online). 39 (3) p.pp. 40–45. Available from: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1607948&url=http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1607948.
[6] Cillis, F. De, Simio, F. De, Faramondi, L., Inderst, F., Pascucci, F. & Setola, R. (2014). Indoor Positioning System using Walking Pattern Classification. Proceedings of the 22nd Mediterranean Conference on Control and Automation (MED). p.pp. 511–516.
[7] Haddud, A., Dugger, J.C. & Lee, H. (2015). Manufacturing Control, Asset Tracking, and Asset Maintenance: Assessing the...: EBSCOhost. Journal of International Technology and Information Management. (Online). 24 (2). Available from: http://scholarworks.lib.csusb.edu/jitim%5Cnhttp://scholarworks.lib.csusb.edu/jitim/vol24/iss2/3%5Cnhttp://web.ebscohost.com.bscdirekt.han.ub.fau.de/ehost/pdfviewer/pdfviewer?vid=8&sid=4503be00-2c48-4ff5-b77c-04991e9c541e@sessionmgr120&hid=102.
[8] Hendriks, P.H. & Vriens, D.J. (1999). Knowledge-based systems and knowledge management: Friends or foes? Information & Management. 35 (2). p.pp. 113–125.
[9] Hui, F.C.P., Chan, H.C.B. & Fung, S.H. (2014). RFID - based Location Tracking System Using a Peer - to - Peer Network Architecture. I. p.pp. 1–5.
[10] Kay, J. (2009). A test-first view of usability. Interacting with Computers. 21 (5–6). p.pp. 347–349.
[11] Khan, M. & Khan, S. (2011). Data and information visualization methods, and interactive mechanisms: A survey. International Journal of Computer Applications. 34 (1). p.pp. 1-14.
[12] Liao, S. (2002). Problem solving and knowledge inertia. Expert Systems with Applications. 22 (1). p.pp. 21–31.
[13] Mahapatra, H.B. (2015). Selection of Software Development Methodology (SDM): A Comparative Approach. International Journal of Advanced Research in Computer Science and Software Engineering. 5 (3). p.pp. 58-61.
[14] McLean, L. (2004). A Review and Critique of Nonaka and Takeuchi’s Theory of Organizational Knowledge Creation. Paper presented at the Fifth International Conference on HRD Research and Practice across Europe by AHRD and UFHRD.
[15] Nonaka, I. & Takeuchi, H. (1995). The Knowledge-Creating Company.
[16] Popowycz, S. (2012). Visualizing Healthcare Data. (2012).
[17] Qian, C., Sun, X., Wei, Y., Tang, X. & Sun, J. (2014). Realtime and robust hand tracking from depth. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2014, pp. 1106-1113.
[18] Zaidi, J. (2017). Data Value Pyramid - A Framework for Investing in Data and Analytics to Generate Tangible Business Value. p.pp. 1-5.
@article{"International Journal of Information, Control and Computer Sciences:76387", author = "A. A. AlRasheed and A. Atkins and R. Campion", title = "Using Knowledge Management and Visualisation Concepts to Improve Patients and Hospitals Staff Workflow", abstract = "This paper focuses on using knowledge management and visualisation concepts to improve the patients and hospitals employee’s workflow. Hospitals workflow is a complex and complicated process and poor patient flow can put both patients and a hospital’s reputation at risk, and can threaten the facility’s financial sustainability. Healthcare leaders are under increased pressure to reduce costs while maintaining or increasing patient care standards. In this paper, a framework is proposed to help improving patient experience, staff satisfaction, and operational efficiency across hospitals by using knowledge management based visualisation concepts. This framework is using real-time visibility to track and monitor location and status of patients, staff, rooms, and medical equipment.
", keywords = "Knowledge management, visualisation, patients, hospitals, healthcare workers, workflow, improvements. ", volume = "11", number = "8", pages = "977-5", }
