Naif Aljohani

Work place: King Abdulaziz University, Department of Information Systems, Jeddah, Kingdom of Saudi Arabia



Research Interests: Human-Computer Interaction, Computer systems and computational processes, Computational Learning Theory, Computer Architecture and Organization, Ubiquitous Computing, Data Structures and Algorithms


Naif Aljohani is Assistant Professor at the Faculty of Computing and Information Technology in King Abdul Aziz University, Jeddah, Saudi Arabia. He holds a PhD in Computer Science from the University of Southampton, UK. He received the Bachelor’s degree in Computer Education from King Abdul Aziz University, 2005. In 2009, he received the Master degree in Computer Networks from La Trobe University, Australia. His research interests are in the areas of mobile and ubiquitous computing, mobile and ubiquitous learning, learning and knowledge analytic, semantic web, Web Science ,technology enhanced learning and human computer interaction.

Author Articles
Development of Infection Control Surveillance System for Intensive Care Unit: Data Requirements and Guidelines

By Manal Abumelha Awatef Hashbal Farrukh Nadeem Naif Aljohani

DOI:, Pub. Date: 8 Jun. 2016

Surveillance systems are useful in the identification of patients that contract infections during their hospitalization period. Despite still being at infancy, electronic information control surveillance systems for Hospital Acquired Infections (HAIs) are improving and becoming more commonplace as the acceptance levels rise. There are crucial gaps in existing knowledge concerning the best ways for implementing electronic surveillance systems especially in the context of the Intensive Care Unit (ICU). To bridge this gap, the aim of this paper was to provide a comprehensive review of various electronic surveillance approaches and to highlight the requisite data components and offer guidelines. This review revealed denominator, numerator, and discrete data requirements and guidelines for the surveillance of four main ICU HAIs, including Central Line–Associated Bloodstream Infection (CLABSI), Urinary Tract Infection (UTI), Surgical Site Infections (SSIs) and Ventilator-Associated Conditions/Events (VACs/VAEs).

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