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Using Knowledge Management and Visualisation Concepts to Improve Patients and Hospitals Staff Workflow

Authors: A. A. AlRasheed, A. Atkins, R. Campion


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.

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[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:
[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:
[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.