Universiti Teknologi Malaysia Institutional Repository

Iot security risk management model in healthcare

Abu Bakar, Nur Azaliah and Mohd. Anuar, Mohd. Syahid and Musa, Norhafizah and Salih Yagoub, Fathi Ibrahim (2018) Iot security risk management model in healthcare. In: 4th International Conference on Information Technology & Society (IC-ITS) 2018, 30 October 2018 - 31 October 2018, Selangor, Malaysia.

Full text not available from this repository.

Abstract

Internet of Things or IoT is highly predicted as one of the biggest emerging environment in future to create a simultaneous smart communication between machines or a variety of digital device. IoT not only helps the user to control and monitor collected data but also aid in generating new revenue by identifying new business opportunity and deploying advanced analytics processes. However, there is still a lack of study focusing on the IoT risk management in healthcare whereby most of the study is more towards the implementation of the IoT peripheral itself. Since healthcare information and data are highly confidential, it is important to ensure a secured health IoT application is in place. Thus, the aim of this study is to investigate the IoT risk management aspect in healthcare domain with a particular attention in developing a step by step process of IoT risk management model. Data are gathered from the literature reviews and organised accordingly based thematic analysis on the case study selected. Based on observation conducted, it still does not possess any strong risk management system. From the findings, it is also identified that many hospitals fail to implement a risk management process incomplete set due to poor technology implementation in protecting data and information, lack of clear governance and unclear work process. Lastly, above all a well-defined healthcare business process is the key for any risk management plan It is believe with the existence of strong team (people), reliable application (technology) and systematic hospital workflow (process) it can strengthen in IoT Risk Management in any healthcare agency.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:risk management, healthcare
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:83323
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:30 Sep 2019 13:19
Last Modified:21 Oct 2019 03:37

Repository Staff Only: item control page