831 research outputs found
Optimizing healthcare management techniques
No full textIncludes bibliographical references and index."This book provides an extensive and rich compilation of various ICT initiatives and examines the role that ICT plays and will play in the future of healthcare delivery"--Provided by publisher.Intelligent Risk Detection Using Predictive Analytics for Healthcare Contexts / Nilmini Wickramasinghe -- Key points for Successful National e-Health Solutions : Lessons from Australia's My Health Record / Nilmini Wickramasinghe -- Proposal for Pervasive Elderly Care : A Case Study with Next of Kin / Raija Halonen -- A Mobile Nursing Solution / Jianqiu Kou, Nilmini Wickramasinghe -- Fast Track to Reduce Patient Lead Time: a Discrete Event Simulation Analysis / Thais Silva, Carolina Senna, Daniel Assad, Ana Carolina Vasconcelos, Thais Spiegel -- The Role of Crowdsourcing in the Healthcare Industry / Kabir Sen -- 3D Printing in Healthcare : Opportunities, Benefits, Barriers, and Facilitators / Nilmini Wickramasinghe -- Public Reporting on Health and Social Care Services / Reima Suomi -- From Resource to Outcome : Addressing the Barriers of Healthcare Implementation / Khadijeh Rouzbehani, Mehdi Araghi -- Intelligent Mental Health Analyzer by Biofeedback : App and Analysis / Rohit Rastogi, Devendra Chaturvedi, Mayank Gupta -- Using Intelligent Tools to Support Clinical Decision Making : The Case of Hip and Knee Arthroplasty / Nilmini Wickramasinghe, Jonathan Schaffer -- Better Future for Home Cared Elderly Patients : A prototype of smart clothing / Ruwini Edirisinghe -- Perceptions by Health Service Providers around the My Health Record / Nilmini Wickramasinghe -- Review of Technology in the Support of Care Coordination in Healthcare / Nilmini Wickramasinghe -- Minority Health and Wellness : A Role for Technology / Nilmini Wickramasinghe -- Digital Systems Innovation for Health Data Analytics / Kamaljeet Sandhu -- Predictive Analytics to Support Clinical Decision Making / Nilmini Wickramasinghe -- Ontology Perspective on Precision Medicine : A Clinical Decision Support for Chronic Patients / Rehab Rayan -- Insights into Understanding Clinical Information Systems User Satisfaction / Nilmini Wickramasinghe -- Supporting Value Based Care With A Point Care Solution / Nilmini Wickramasinghe -- Blockchain in Healthcare : A Primer / Nilmini Wickramasinghe -- The Importance for Learning Health Care Organisations / Nilmini Wickramasinghe -- Optimization of Provider Ecosystem through Actor-Resource Integration / Mohan Tanniru -- Mobile Health : Precision Post-Operative Wellness Monitoring Solutions / Nilmini Wickramasinghe -- Patient Portal Acceptance by the Elderly : Explained by the Elaboration Likelihood Model and Social Heuristics / Karoly Bozan, Kevin Parker, Bill Davey.1 online resource (xxxiv, 431 pages)
Clustering Questions in Healthcare Social Question Answering Based on Design Science Theory
No full textIn healthcare social media, users connect with patients and professionals without time and space boundaries to seek and share healthcare-related information (Denecke and Stewart 2011). A classic example of a Medicine 2.0 application is a healthcare Social Question Answering (SQA) service. Healthcare SQA services are redefining healthcare delivery and supporting patient empowerment. Healthcare SQA services allow users to seek information, communicate with others on similar problems, share health guidance, and compare treatment and medication strategies (Blooma and Wickramasinghe 2014). Examples of healthcare SQA services are MedHelp, BabyHub, and Drugs.com . The growing activities in online healthcare communities, asking questions and sharing answers, play an important role in users’ health information inquiries (Zhang and Zhao 2013). Individual behaviors, in particular health-related behaviors such as physical activity, diet, sleep, smoking, and alcohol consumption, as well as adherence to medical treatments and help-seeking behavior (Hyyppä 2010), appear to be significant in SQA services<br/
A Review of Mixed Reality in Health Care
No full textMixed reality (MR) give users a virtual three-dimensional representation of real objects embedded into the physical surroundings. Microsoft HoloLens and Google Glass are examples of MR devices that demonstrate the most prominent emerging technologies recently. This study presents a review of MR in healthcare. Literature related to the use of MR in healthcare were collected from the top A∗ and A journals in e-health management-focused and e-health clinical-focused. We found that majority of the research used VR and very few used MR in healthcare-related studies. While research in the space of MR in healthcare is nascent or relatively immature, there is clear evidence that further research is warranted
A Sentiment Analysis of the 2014-15 Ebola Outbreak in the Media and Social Media
No full textThe negative and unbalanced nature of media and social media coverage has amplified anxieties and fears about the Ebola outbreak. The authors analyse news articles on the Ebola outbreak from two leading news outlets, together with comments on the articles from a well-known social media platform, from March 2014 to July 2015. The volume of news articles was greatest between August 2014 and January 2015, with a spike in October 2014, and was driven by the few cases of transmission in Europe and the USA. Sentiment analysis reveals coverage and commentary on the small number of Ebola cases in Europe and the USA were much more extensive than coverage and commentary on the outbreak in West Africa. Articles expressing negative sentiments were more common in the USA and also received more comments than those expressing positive sentiments. The negative sentiments expressed in the media and social media amplified fears about an Ebola outbreak outside West Africa, which increased pressure for unwarranted and wasteful precautionary measures
Adoption of Mobile Devices in the Australian Healthcare
No full textIn recent years, the potential use of mobile devices has significantly positively impacted healthcare globally. Despite global claims of widespread use of mobile devices in healthcare, its adoption in the Australian healthcare context is slow. Limited research is available on slow adoption of mobile devices in the Australian healthcare context. Therefore, this chapter is designed to investigate the factors influencing adoption of mobile devices from healthcare professionals' perspective and develop a health specific conceptual framework. The influential factors for the adoption of mobile devices in the Australian health context may be intention, individual readiness, advantages, safety issues, features, self-efficacy, complexity, training, compatibility, social influences, age and gender
Introduction
No full textThis brief chapter introduces many important concepts and constructs and sets the scene for why a pervasive perspective is a prudent choice for supporting superior healthcare delivery in the current healthcare environment globally.Indrit Troshani and Nilmini Wickramasingh
The Prevalence of Social Question Answering in Health-Care Social Media
No full textSocial question answering (SQA) services are dedicated platforms for users to respond to other users’ questions, rate and comment on questions and answers, and build community. In this study, we analyze health-care SQA services to understand the extent to which they are prevalent in health-care social media. First, we compare blogs, videos, and SQA services in five popular health-care social media sites using three media richness features: interactivity, adaptiveness, and channel capacity. Second, we interpretively analyze SQA services using five themes of Medicine 2.0: social networking, participation, collaboration, apomediation, and openness. The result supports SQA services as an effective media for health-care communication and empowerment of users. We present our findings for consumers and decision-makers to understand the role of SQA services for improving user-centered services
Regulating pervasive e-health services
No full textWhile the development of pervasive e-health services is experiencing growth in many countries worldwide, existing regulatory regimes are ill-equipped for dealing with them. In this chapter, we investigate institutional regulatory factors that can impact pervasive e-health services. These factors are important as they can shape both the nature of these services and their diffusion trajectory. We argue that coregulation, a mixture of direct monitoring and intervention of regulators through legislation and complete industry self-regulation, can be an effective approach for regulating the pervasive e-health services industry. Given the complex and dynamic nature of this industry, coregulation can minimize monitoring costs and enhance compliance.Indrit Troshani and Nilmini Wickramasingh
e-Health trends
No full textThe use of Information and Communications Technologies (ICT) to support the achievement of health outcomes has the potential to transform the manner in which health services are delivered. Although there is an increasing number of contributions in e-health research, knowledge in this area remains limited. In this chapter, we discuss current trends in pervasive e-health with the hope that this endeavor will assist e-health scholars channel their research efforts. Having extensively reviewed extant research, we focus on health education, electronic health records (EHR), standardization, and m-health.Indrit Troshani and Nilmini Wickramasingh
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