Govender, Kerensa Long, Lawrence Miot, Jacqui
Published in
Health informatics journal
Population mobility makes patient-tracking and care linkage in the South African Development Community (SADC) challenging. Case-based surveillance (CBS) through individual-level clinical data linked with a unique patient-identifier (UPI) is recommended. We conducted a mixed-methods landscape analysis of UPI and CBS implementation within selected SA...
Tshimula, Jean Marie Chikhaoui, Belkacem Wang, Shengrui
Published in
Health informatics journal
The new coronavirus outbreak has been officially declared a global pandemic by the World Health Organization. To grapple with the rapid spread of this ongoing pandemic, most countries have banned indoor and outdoor gatherings and ordered their residents to stay home. Given the developing situation with coronavirus, mental health is an important cha...
Mueen, Ahmed Awedh, Mohammad Zafar, Bassam
Published in
Health informatics journal
Design of smart navigation for visually impaired/blind people is a hindering task. Existing researchers analyzed it in either indoor or outdoor environment and also it's failed to focus on optimum route selection, latency minimization and multi-obstacle presence. In order to overcome these challenges and to provide precise assistance to visually im...
Alharbi, Abdullah Ahmad, Masood Alosaimi, Wael Alyami, Hashem Sarkar, Amal Krishna Agrawal, Alka Kumar, Rajeev Khan, Raees Ahamd
Published in
Health informatics journal
The purpose of the healthcare Information System (HIS) is to replace the conventional method of data gathering and organization in hospitals into a modern method of systematic data collection, maintenance and dissemination. There has been an unprecedented rise in the malware and cyber-attacks on HIS recently. Cyber-attacks have become a major crisi...
Azzi, Sabrina Michalowski, Wojtek Iglewski, Michal
Published in
Health informatics journal
Background: Pneumonia is difficult to differentiate from other pulmonary diseases because it shares many symptoms with these diseases. Diagnosing pneumonia in clinical practice would benefit from having access to a codified representation of clinical knowledge. An ontology represents a well-established paradigm for such codification. Objectives: Th...
Roh, Eul Hee
Published in
Health informatics journal
The prevalence of MCD (multiple chronic disease) is increasing due to increased life expectancies and aging populations. Individual and socioeconomic burdens of MCD are also increasing. To reduce these burdens, it is necessary to establish policies to prevent MCD; therefore, it is important to understand the characteristics of MCD in the current po...
Antezana, Gaston Venning, Anthony Smith, David Bidargaddi, Niranjan
Published in
Health informatics journal
Introduction: The potential of mobile applications (apps) as a resource to support well-being in young people is hampered by low usage. Suggested reasons for this vary from technical issues to users' psychological and personal characteristics like gender, mood and perceptions on well-being. Objectives: To identify and understand predictive variable...
Jenkins, Chris Diffin, Janet McTernaghan, Tracey Watson, Max Fleming, Kate
Published in
Health informatics journal
This study assesses the perceived impact and benefits of Project ECHO (Extension for Community Healthcare Outcomes), a tele-mentoring intervention for health and social care providers, patients and the health system in Northern Ireland. Having access to a specialist, a space to share experiences, and being able to disseminate up-to-date best practi...
Gardner, Clarissa Halligan, Jack Fontana, Gianluca Fernandez Crespo, Roberto Prime, Matthew Guo, Chaohui Ekinci, Okan Ghafur, Saira Darzi, Ara
Published in
Health informatics journal
There is a growing need for alternative methodologies to evaluate digital health solutions in a short timeframe and at relatively low cost. Simulation-based research (SBR) methods have been proposed as an alternative methodology for evaluating digital health solutions; however, few studies have described the applicability of SBR methods to evaluate...
Maciąg, Tomasz T van Amsterdam, Kai Ballast, Albertus Cnossen, Fokie Struys, Michel Mrf
Published in
Health informatics journal
The credibility of threshold-based alarms in anesthesia monitors is low and most of the warnings they produce are not informative. This study aims to show that Machine Learning techniques have a potential to generate meaningful alarms during general anesthesia without putting constraints on the type of procedure. Two distinct approaches were tested...
