This in-depth book addresses a key void in the literature surrounding the Internet of Things (Io T) and health. By systematically evaluating the benefits of mobile, wireless, and sensor-based Io T technologies when used in health and wellness contexts, the book sheds light on the next frontier for healthcare delivery. These technologies generate data with significant potential to enable superior care delivery, self-empowerment, and wellness management. Collecting valuable insights and recommendations in one accessible volume, chapter authors identify key areas in health and wellness where Io T can be used, highlighting the benefits, barriers, and facilitators of these technologies as well as suggesting areas for improvement in current policy and regulations.
Four overarching themes provide a suitable setting to examine the critical insights presented in the 31 chapters:
- Mobile- and sensor-based solutions
- Opportunities to incorporate critical aspectsof analytics to provide superior insights and thus support better decision-making
- Critical issues around aspects of Io T in healthcare contexts
- Applications of portals in healthcare contexts
A comprehensive overview that introduces the critical issues regarding the role of Io T technologies for health, Delivering Superior Health and Wellness Management with Io T and Analytics paves the way for scholars, practitioners, students, and other stakeholders to understand how to substantially improve health and wellness management on a global scale.
表中的内容
Section 1: Mobile And Sensor Based Solutions.- Towards a Medical Tricorder – A 3D-Map to Categorize Diseases for Self-Care with Mobile Technology.- Piloting a Mobile Tele-Simulation Unit to Train Rural and Remote Emergency Health Care Providers.- Drone Delivery for Medical emergencies.- Converting Disability into Ability Using IT/IS And Smart Textiles.- A Mobile Nursing Solution.- Smart Coping: A Mobile Solution For Recognizing Stress And Coping With IT.- Changing Behaviour Of Kids With Obesity With Gamification Wearables.- Precision Wellness: An Optimization Model.- The Development Of A Wearable For An Automated Documentation And An Improved Staff Planning In Outpatient Care.- Toward A Better Life For Diabetic Patients – Developing And Integrating A Non-invasive Self-Management Support Tool Within A Smart Digital Companion.- Section 2: Opportunities To Incorporate Critical Aspects Of Analytics To Provide Superior Insights And Thus Support Better Decision Making.- Intelligent Risk Detection in Healthcare: Integrating Social and Technical Factors to Manage Health Outcomes.- A Literature Review on Predicting Unplanned Patient Readmissions.- Using KM To Develop Superior Online Health Decision Support Solutions: The Case of Allergy Care.- Opportunities For Using Blockchain Technology in Ehealth : E-prescribing In Germany.- Knowledge Acquisition Of Consumer Medication Adherence.- Addressing Data Accuracy And Information Integrity In Mhealth Solutions Using Machine Learning Algorithms.- Enabling Value-based Healthcare With Business Analytics And Intelligence.- Section 3: Critical Issues Around Aspects Of Io T In Healthcare Contexts.- A Review Of Mixed Reality In Healthcare.- Implementing Lean Principles In The Healthcare Industry: A Theoretical And Practical Perspective.- Data, Denial, Disparity : Is This A New Digital Divide.- The Enabling Role For Technology In The Support Of Care Coordination In Healthcare.- Managing The Risks Of Emerging Io T Devices.- Mosquitoes and Public Health: Improving Data Validation of Citizen Science Contributions Using Computer Vision.- Section 4: Applications Of Portals In Healthcare Contexts.- Using Responsive Web Design To Enhance The User Experience Of Chronic Disease Management Portals for Clinical Uses.- Older Adults Empowerment Through Training And Support And Its Implication On Proactive Self-Monitoring, Patient Engagement, And Connected Health.- An Evaluation Of A Point-of-Care System Implementation And Adoption In A Multi-Campus Private Hospital In Melbourne.- Leveraging The IOT To Enable The Guided Self-Determination Method.- Determining Key Elements in OIS To Improve The Patient Experience And Clinical Care.- Toward Actionable Knowledge: A Systematic Analysis Of Mobile Patient Portals.- A Lazy User Perspective To Patient Adoption And Use Of Personal Health Records.- The Australian PCEHR OR My Health Record – the Journey Around A Large Scale Nationwide Digital Health Solution.- Epilogue.
关于作者
Prof Nilmini Wickramasinghe is the inaugural Professor–Director Health Informatics Management at Epworth Health Care and the Professor of Digital Health and Deputy Director of the Iverson Health Innovation Research Institute at Swinburne University as well as an honorary Professor at the Peter Mac Callum Cancer Centre. After studying at the University of Melbourne, she accepted a full scholarship to undertake Ph D studies in the US in Management of Information Systems as they relate to healthcare contexts. For over 20 years she has been actively, researching and teaching within the health informatics domain. Her particular focus is on designing and developing suitable models, strategies and techniques grounded in various management principles to ensure that technology solutions effect superior, value-based, patient centric care delivery. Professor Wickramasinghe collaborates with leading scholars at various premier healthcare organizations throughout Australasia, US and Europe and is well published with more than 380 referred, peer reviewed scholarly articles, more than 12 books, numerous book chapters, an encyclopaedia, a patent and a well-established funded research track record. Professor Wickramasinghe is the editor-in-chief of two scholarly journals published by Inder Science and has successfully taken four separate health technology solutions from idea to realisation in the US.
Freimut Bodendorf, Dr. rer.pol., Dipl.Inf., graduated from the University of Erlangen-Nuremberg (School of Engineering) with a degree in Computer Science. He obtained his doctor degree (Ph.D.) in Information Systems. Subsequently he was head of an IS department at the University Hospital and Medical School at the University of Freiburg/Germany, professor at the Postgraduate School of Engineering in Nuremberg/Germany, and head of the Department of Computer Science and Information Systems at the University of Fribourg in Switzerland. Actually, he is director of the Institute of Information Systems at the University of Erlangen-Nuremberg and faculty member of the School Business and Economics as well as the School of Engineering. His research areas include Service Design and Engineering, Process Management, and Business Intelligence. Current projects investigate and create solutions in the fields of healthcare, commerce/retail, industrial services (smart factory and supply), and education.